2026-06-20T13:09:32Z https://jurnal.bsi.ac.id/index.php/co-science/oai

oai:ojs2.jurnal.bsi.ac.id:article/98 2020-12-14T10:31:01Z reputasi:ART

oai:ojs2.jurnal.bsi.ac.id:article/98 2020-12-10T15:17:11Z reputasi:ART

oai:ojs2.jurnal.bsi.ac.id:article/98 2020-12-10T14:44:41Z reputasi:ART

oai:ojs2.jurnal.bsi.ac.id:article/104 2020-12-14T10:30:58Z reputasi:ART

oai:ojs2.jurnal.bsi.ac.id:article/349 2022-06-30T15:59:20Z reputasi:ART

oai:ojs2.jurnal.bsi.ac.id:article/365 2022-06-30T16:00:44Z reputasi:ART

oai:ojs2.jurnal.bsi.ac.id:article/483 2022-06-30T15:59:09Z reputasi:ART

oai:ojs.pkp.sfu.ca:article/127 2022-01-26T13:06:47Z co-science:ART driver

Rancang Bangun Aplikasi Belajar Membaca Al-Qur'an Berbasis Android Shodiq, Fadhil Naufal Purnama, Rachmat Adi Heristian, Sujiliani Aplikasi belajar Membaca Al qur'an Android Reading the Al-Qur'an has always been a culture of Indonesian society, however recently the Al-Qur'an has begun to be abandoned. Muslims are more engrossed in following games and social media with fun playing than opening the Al-Quran mushaf. In order not to have hijaiyah illiterate young people, they must carry out learning that follows the present era, such as learning applications that are not inferior to applications that make young Muslims lazy, the main target in the learning method of reading the Al-Quran application is children at an early age to learn it because children at an early age have quite good comprehension and memory. Based on the background that the authors convey above, the authors are interested in conducting further research on learning methods based on reading the Al-Quran application. The system development method used in this study uses the RAD (Rapid Application Development) Model. Rapid Application Development (RAD) is a software development process model that is incremental, especially for short processing times. The results of the research show that learning with an interactive system increases children's interest in starting the initial learning process. In addition, interactive games are an alternative in conveying learning among other methods. LPPM Universitas Bina Sarana Informatika 2021-01-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/127 10.31294/coscience.v1i1.127 Computer Science (CO-SCIENCE); Vol. 1 No. 1 (2021): Januari 2021; 1-10 2774-9711 2808-9065 10.31294/coscience.v1i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/127/41 Copyright (c) 2021 Computer Science (CO-SCIENCE) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/133 2022-01-27T20:44:57Z co-science:ART driver

Penerapan Metode Multi Criteria Decision Making Untuk Menentukan Handphone Android 4G Low-End Purwanto, Heru Fauzi, Ahmad Sumbaryadi, Achmad Multycriteria AHP Android 4G Since the outbreak of the Covid-19 pandemic, there have been adjustments in teaching and learning activities. Learning is not done in schools to avoid potential dangers to transmission of the corona virus. There are many obstacles faced by teachers, students and parents in distance learning activities. Mobile is one of the basic needs to support learning activities, families with more than one child will experience difficulties when having to do tasks simultaneously if they only have a cellphone. The purpose of this study is to provide a solution in the form of selecting low end 4G Android phones at affordable prices. Application of the Multycriteria Analytical Hirarchi Process (AHP) method with the criteria of Specifications, Price and Design. Selection of alternative three mobile phones, namely Samsung A10s, Vivo Y12 and Realme 5 makes it easier for students to choose according to their needs. Data collection of 45 samples was carried out through distributing questionnaires with google form and offline. The results of the calculation of Vivo Y12 = 0.23, Samsung A10s = 0.30 and Realme5 = 0.47 LPPM Universitas Bina Sarana Informatika 2021-01-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/133 10.31294/coscience.v1i1.133 Computer Science (CO-SCIENCE); Vol. 1 No. 1 (2021): Januari 2021; 11-17 2774-9711 2808-9065 10.31294/coscience.v1i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/133/42 Copyright (c) 2021 Computer Science (CO-SCIENCE) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/138 2022-01-26T13:30:45Z co-science:ART driver

Implementasi Jaringan Internet Site To Site VPN Dengan Metode IPSec Pada PT Telkom Akses Septiandoko, Try Budi Desmulyati, Desmulyati Taufik, Andi Network VPN IPSEC Virtual Private Network (VPN) is a local communication network that is connected through a public network, with a private data security network, the closure of data transfer from illegal access and network scalability are the main standards in a Virtual Private Network (VPN). In building a VPN at PT. Telkom access is done using the Internet Protocol Security (IP Sec) method. PT Telkom Akses is engaged in the business of providing construction services and managing network infrastructure. At this time PT Telkom Akses sent company data using email, if using company email could not ensure the security of the data sent. PT Telkom, which has many branch offices, is required to have a fast and stable internet connection for transmitting confidential company data. Looking at the existing problems, there are several things that are obtained including, communication between users is still not optimal. Data transmission from branch offices to the head office or vice versa is still not encrypted, which means that data can be viewed or retrieved by unauthorized persons and company confidentiality can be threatened. So creating a VPN network with the IPSEC method will get a more stable and safer connection, files and folders that can be shared by network members, making it easier for network administrators to manage the network if the distance between sites is constrained and the network is well encrypted and already using authentication to connect between sites. LPPM Universitas Bina Sarana Informatika 2021-01-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/138 10.31294/coscience.v1i1.138 Computer Science (CO-SCIENCE); Vol. 1 No. 1 (2021): Januari 2021; 18-26 2774-9711 2808-9065 10.31294/coscience.v1i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/138/43 Copyright (c) 2021 Computer Science (CO-SCIENCE) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/158 2022-01-26T14:03:26Z co-science:ART driver

Penerapan Game Development Life Cycle Untuk Video Game Dengan Model Role Playing Game Mustofa, Mustofa Putra, Jordy Lasmana Kesuma, Chandra Video Game GDLC Development The development of technology and information drives the acceleration of a very dynamic world. With this discovery, computer technology, which was created as a tool for human work, has now developed into a means of games, entertainment, communication and so on. In the entertainment sector, one of the most popular pieces of technology is the video game industry. However, information and knowledge regarding video game development is not very popular in Indonesia, especially about the Life Cycle in the video game development process. In addition, video games have a wide variety of genres and different role-plays. So that not all Game Development Life Cycle (GDLC) models fit into certain game categories, especially the RPG (Roled Playing Game) genre which has unique role-playing. So it is necessary to have a suitable testing model. This study aims to test whether the Life Cylce Development Game proposed by Rido Ramadan and Yani Widyani can be used in the development of RPG (Roled Playing Game) video games. The results show that video game development using the Game Development Life Cycle (GDLC) proposed by Rido Ramadan and Yani Widyani, this video game can run well. LPPM Universitas Bina Sarana Informatika 2021-01-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/158 10.31294/coscience.v1i1.158 Computer Science (CO-SCIENCE); Vol. 1 No. 1 (2021): Januari 2021; 27-34 2774-9711 2808-9065 10.31294/coscience.v1i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/158/44 Copyright (c) 2021 Computer Science (CO-SCIENCE) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/179 2022-01-26T14:04:45Z co-science:ART driver

Aplikasi WAP dengan WML, PHP & MySQL dalam Sistem Informasi Akademik Mandasari, R Deasy Wireless Application Protocol (WAP) Sistem Informasi Akademik WML PHP MySQL Academic Information System is a system designed to manage academic data with the application of computer technology both hardware and software so that the entire process of academic activities can be managed into useful information in the management of higher education and decision-making for decision-makers or top management. in a college environment. This system aims to support the implementation of education so that universities can provide better and more effective information services to their communities, both inside and outside the tertiary institutions via the internet. The various needs in the field of education and the regulations that surround it are so high that academic management in an educational institution becomes a very draining job of time, energy, and mind. Therefore, the academic information system was built to directly answer the problems and needs of higher education institutions for academic management quickly and without tiring. The Wireless Application Protocol (WAP) allows cell phones (mobile devices) to be used to access information easily and quickly. Based on this background, the problem taken is how to create an academic information system using the WML programming language, PHP through the MYSQL database system. The aim is to find out how the WAP-based academic information presentation system can be accessed. The research method used is the method of observation, literature, or interviews with existing academic information systems. The result of this research is a WAP-based academic information system application with the collaboration of WML and PHP code scripts that are connected to the MYSQL database. LPPM Universitas Bina Sarana Informatika 2021-01-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/179 10.31294/coscience.v1i1.179 Computer Science (CO-SCIENCE); Vol. 1 No. 1 (2021): Januari 2021; 35-43 2774-9711 2808-9065 10.31294/coscience.v1i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/179/57 Copyright (c) 2021 Computer Science (CO-SCIENCE) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/190 2022-01-26T14:05:18Z co-science:ART driver

Sistem Informasi Pengolahan Data Nilai Siswa Berbasis Website Pada MTs Mishbahul Falah Batangan Ambarsari, Diah Ayu Student Value procesing Application System website Madrasah Tsanawiyah Mishbahul Falah is an educational institution, but in the process of calculating grades it is still classified as manual because technically the subject teacher provides a list of student scores to the principal, then the class teacher copies the student's scores into a report card based on the value data. Assessing that processing is still manual makes the longer work done, the greater the error rate in processing. The purpose of this study is to build applications that can facilitate value processing using the waterfall method. The initial stage in this research is to collect data for analysis, system analysis which will be used includes analysis of hardware, software, users, technology, system design, database, interface, system implementation, and system testing. The results of this study are Web-Based Student Value Data Processing Applications. Applications that are made can store school data, including teachers, classes, subjects, students, academic years, and carry out the assessment process. This application is expected to be able to solve the problems of the teacher or principal in the process of processing student value data. LPPM Universitas Bina Sarana Informatika 2021-01-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/190 10.31294/coscience.v1i1.190 Computer Science (CO-SCIENCE); Vol. 1 No. 1 (2021): Januari 2021; 44-52 2774-9711 2808-9065 10.31294/coscience.v1i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/190/59 Copyright (c) 2021 Computer Science (CO-SCIENCE) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/198 2022-01-26T14:06:21Z co-science:ART driver

Implementasi Data Mining Pada Klasifikasi Ketidakhadiran Pegawai Menggunakan Metode C4.5 Iriadi, Nandang Setioningtias, Lutfi Priatno, Priatno Absence C4.5 Algorithm Data Mining Rapid Miner 5 Not all employee absences have reasons that are always labeled as bad. There is also an absence that can be tolerated by an agency or company, where these reasons are acceptable reasons, for example, due to illness, or certain permits that are considered reasonable and of course have a certain period so that it is not too difficult for the party where he works. The research objective is to determine the extent to which the C4.5 algorithm can help the classification calculation to find solutions so that employee works productivity increases. To find a solution so that employee work productivity increases requires certain techniques and methods, namely by classifying data mining using the C4.5 Algorithm. For data processing to get good results, Rapid Miner 5 Tools are used. The C4.5 algorithm is a type of classification rule in Data Mining. The importance of a classification rule can be determined by two parameters, namely Entropy and the highest Gain. After testing, the results obtained from the C4.5 Algorithm have an accuracy of 81.08%. LPPM Universitas Bina Sarana Informatika 2021-01-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/198 10.31294/coscience.v1i1.198 Computer Science (CO-SCIENCE); Vol. 1 No. 1 (2021): Januari 2021; 53-61 2774-9711 2808-9065 10.31294/coscience.v1i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/198/60 Copyright (c) 2021 Computer Science (CO-SCIENCE) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/201 2022-01-26T14:07:59Z co-science:ART driver

Impementasi Metode Naive Bayes Untuk Prediksi Harga Emas Ristianto, Frandy Nurmalasari, Nurmalasari Yoraeni, Ani Naïve Bayes Algorithm Prediction Data Mining Gold is a profitable asset to invest in. With a risk that is not too big. However, many factors influence the price, one of which is the fluctuation of the exchange rate (IDR) rupiah against the USD currency (US Dollar). Data Mining is used to predict the price of gold, with the process of extracting past data, the data used is from the www.bps.go.id data to add added value in the form of information that has not been known manually from a database in order to see patterns and can predict the price of gold. One of the data mining methods used is Naïve Bayes and uses Rapid Miner software as a process to assist calculations with the data set used for 3 years, namely from January 2016 - December 2019 and prediction of data training for the next 1 year assuming stable prices, with testers as much as 5 times 52 data, where in the application of opportunities based on the history of events that occurred so that the accuracy is good at 95.92% to apply and see profit opportunities whether or not the gold price LPPM Universitas Bina Sarana Informatika 2021-01-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/201 10.31294/coscience.v1i1.201 Computer Science (CO-SCIENCE); Vol. 1 No. 1 (2021): Januari 2021; 62-71 2774-9711 2808-9065 10.31294/coscience.v1i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/201/71 Copyright (c) 2021 Computer Science (CO-SCIENCE) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/202 2022-01-26T14:08:49Z co-science:ART driver

Perancangan Sistem Informasi Persediaan Barang menggunakan metode RUP (Studi Kasus PT Medical Device Indonesia) Hikmah, Noer Lesmana, Rendi Simon Leliyanah, Leliyanah Utami, Dwi yuni website inventory RUP PT Medical Device Indonesia is a company in the distribution of books and medical devices. In the data processing specially the inventory section it used manual way. It made owner and employees of PT. Medical Device Indonesia become overshelmed in data management, so there is a need for a system to simple the inventory process. The study aims to analyze and design a web based inventory information system, so that the data is more accurate and minimizes errors in data processing. The method used in system development is using the RUP (Rational Unified Process) methodology as making observations and interviews with the parties involved. For the system design method using the Object Oriented Analysis and Design method using UML such as usecase diagrams, activity diagrams, sequence diagrams. The results of this system are the users are able to manage product easily, perfoming complete transaction and process the reports completely. LPPM Universitas Bina Sarana Informatika 2021-01-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/202 10.31294/coscience.v1i1.202 Computer Science (CO-SCIENCE); Vol. 1 No. 1 (2021): Januari 2021; 72-80 2774-9711 2808-9065 10.31294/coscience.v1i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/202/72 Copyright (c) 2021 Computer Science (CO-SCIENCE) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/256 2022-07-25T16:55:24Z co-science:ART driver

Rancang Bangun Aplikasi Pembelajaran Bahasa Arab Untuk Siswa Madrasah Ibtidaiyah Berbasis Android Bismi, Waeisul Napiah, Musriatun Putra, Jordy Lasmana Shidiq, Fajar Aplikasi Android Pembelajaran Bahasa Arab Madrasah Ibtidaiyah With the increasingly open mindset of society today, especially Indonesia, it makes it easy for us to accept new things and implement them in our lives, these new things appear in many aspects such as one of which is education. In terms of education, it is better if it is carried out at an early age, especially in terms of learning a second foreign language or a foreign language substituting for English, this is what elementary school teachers have realized and has begun to be implemented recently, to do this elementary schools need tools to create methods. this learning becomes effective. Therefore the authors make an Arabic learning application that will make it easier for elementary school teachers to effectively introduce basic Arabic such as the recognition of the names of the day for elementary school children, which is equipped with sounds and images that can attract children's interests. This application can be run on an Android smartphone with a minimum Android OS 5.0 (Lollipop) and a maximum Android OS is 8.1 (Oreo). LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/256 10.31294/coscience.v1i2.256 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 131-138 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/256/307 Copyright (c) 2021 Waeisul Bismi, Musriatun Napiah, Jordy Lasmana Putra, Fajar Shidiq https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/259 2022-07-25T16:55:24Z co-science:ART driver

Prediksi Klasemen Akhir English Premier League Untuk Keputusan Penanaman Modal Dengan Metode Distribusi Poisson Azhar, Muhammad Fauzan Nurmalasari, Nurmalasari Yoraeni, Ani English Premier League Machine Learning Poisson Distribution Capital Investmen Nowadays, people often talk about machine learning, it is a technique which gives a system a skill to learn and develop automatically based on the experience in the past. With machine learning, it hopes could help the decission making process to decide the result of English Premiere Leauge' final standigs. In this research, the researcher will develop a machine learning using Poisson Distribution Method, which is a distribution of random variables (x) which refer to the number of experimental results that occur in a certain time interval or in a certain area. By predicting the final results of the standings, the researcher hopes that the result could show which club who has promising prospect that could be a reference for capital investment. LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/259 10.31294/coscience.v1i2.259 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 139-148 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/259/308 Copyright (c) 2021 Muhammad Fauzan Azhar, Nurmalasari, Ani Yoraeni https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/267 2022-07-25T16:55:24Z co-science:ART driver

Perancangan Sistem Informasi Point Of Sales Berbasis Web Pada Perusahaan Sablon Sandi, Fitra Adhitya Septiana, Laila point of sales (POS) sales penjualan perancangan web web design The sales system that runs on CV. Wadas Warna Warni (Dyotees) is currently still done conventionally, according to the author's observation, it is very ineffective, where Customer Service has to make a conventional order form using Microsoft Excel which contains details of sales and sales calculations, then prints the order form and also disposes the order form. to the production, invoice creation and calculation which is still done conventionally using Microsoft Excel. This causes frequent input errors, data redundancies and also takes a long time to position orders to the production department, it is difficult to monitor sales that are being processed or have finished processing production and requires a long time in the process of calculating the income statement for the accounting department where the division is accounting must recap all invoice data. By designing the Point of sales (POS) Information system, it is hoped that it can simplify the sales process in which the creation and calculation of order forms automatically, report generation and also management of more organized sales data. LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/267 10.31294/coscience.v1i2.267 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 123-130 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/267/306 Copyright (c) 2021 Fitra Adhitya Sandi, Laila Septiana https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/415 2022-07-25T16:55:24Z co-science:ART driver

Implementasi Load Balancing Dengan Metode Peer Connection Classifier Pada Cabang PT. Astra Credit Companies Hadi, Rizky Apriansyah Desmulyati, Desmulyati Load Balancing, Metode PCC, Bandwidth The need for an internet network today is very important along with the development and progress of increasingly sophisticated data communications. With uses such as searching for information, the need to upload and download documents from the internet, and participate in video conferences. This causes internet connection traffic to increase, and this will be very disturbing for those who have a small bandwidth network and can cause the internet connection to be disconnected. One way to maintain the quality or quality of internet connectivity is to maintain a balance of traffic and bandwidth savings by dividing the load evenly into several links or paths using the Per Connection Classifier (PCC) method through load balancing techniques. Based on the research that has been done, the traffic load obtained becomes smoother without any accumulation of data. LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/415 10.31294/coscience.v1i2.415 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 91-96 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/415/278 Copyright (c) 2021 Rizky Apriansyah Hadi, Desmulyati https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/427 2022-07-25T16:55:24Z co-science:ART driver

Rancang Bangun Animasi Interaktif Berbasis Multimedia Pada Pengenalan Dasar Bahasa Jepang Linawati, Safitri Nurajizah, Siti animation japanese multimedia. The use of language as a medium of communication is currently important. Language is a way to communicate and interact with other people. Selain bahasa inggris yang menjadi bahasa  internasional, terdapat beberapa bahasa negara lain yang juga tidak kalah diminati untuk dipelajari, salah satunya adalah  bahasa jepang. Japanese language has a unique writing and pronunciation structure, so it takes persistence in learning it. However, the use of letters, sentence structure, and grammar structures that are different from Indonesian grammar makes it difficult for beginners to learn Japanese. The author tries to create an application that connects the multimedia functions on the computer with the knowledge of basic Japanese language introduction. In this study, using the waterfall software development method in making animation of basic Japanese language introduction. The result of this research is an animation that discusses the introduction of the country of Japan, the letters used in Japanese, greetings that are often used in everyday life, and how to introduce oneself in Japanese which is presented in the form of interactive animation so that it can help users. to understand basic Japanese. LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/427 10.31294/coscience.v1i2.427 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 149-154 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/427/284 Copyright (c) 2021 Safitri Linawati, Siti Nurajizah https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/435 2022-07-25T16:55:24Z co-science:ART driver

Penerapan Firewall Dan Protokol IpSec/L2TP Sebagai Solusi Keamanan Akses Jaringan Publik Ayub, Muhammad Maulana, Andry Fauzi, Ahmad firewall l2tp vpn Firewall is an algorithm that allows filtering activities to determine access restrictions on a komputer  that can use Publik  network access and which komputer s cannot pass through Publik  network access, this is commonly called filtering. As time goes by, the development of today's technology is increasing rapidly. that the sophistication of technology is a major influence in facilitating human life. Based on this, the authors create a Firewall and IpSec/L2TP Protocol as a Security Solution for PT.Neu Indonesia, which aims to prevent attacks on the types of malware found on a site circulating on Publik  networks by filtering it with the use of the firewall itself so that the risk of crime in the cyber world can minimize the occurrence of illegal access that can enter the PT.Neu Indonesia network. LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/435 10.31294/coscience.v1i2.435 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 81-90 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/435/276 Copyright (c) 2021 Computer Science (CO-SCIENCE) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/439 2022-07-25T16:55:24Z co-science:ART driver

Rancang Bangun Aplikasi Berbasis Android Untuk Pembelajaran Linux Centos Rusady, Rusady Dewi, Sari Anwar, Rian Septian Centos, Android, Pembelajaran Centos is a Linux based framework commonly used by network supervisors. Given the educational plan of learning in the current PC innovation study program, students are familiar with this framework. In today's all-mechanical era, there are lots of learning media such as android applications. This application was created to offer a different convenience to the Java programming language. In addition, this application is also developed using the SDLC model. There are still some uses that can help with learning exercises, especially those related to the Centos linux framework, the basic explanation of application makers to create applications that can later help learn about Centos linux. Although not as popular as Windows and iOS frameworks, there are still many who use the Centos Linux framework, especially for framework needs with this application making it easier for users to learn because it is mobile based so that we can learn Centos anywhere and anytime. LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/439 10.31294/coscience.v1i2.439 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 97-104 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/439/280 Copyright (c) 2021 Rusady, Sari Dewi, Rian Septian Anwar https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/453 2022-07-25T16:55:24Z co-science:ART driver

Perancangan Aplikasi Penjualan Furniture Dengan Metode Waterfall Berbasis Web hendri, hendri Jefi, Jefi Kholifah, Desiana Nur Solecha, Kusmayanti Armanda, Rio Nugraha Furniture sales Codeigniter PHP Nowadays, technological advances are growing so rapidly, so that difficult jobs can be completed so easily. Many of the furniture shop owners want their shop to be widely known by the public, but the sales system used is still in manual form. By taking advantage of technological developments, furniture shop owners need a computerized system. Therefore, a web-based furniture sales application is needed. Making this program with the waterfall method. Making this application also uses the Codeigniter framework with the PHP programming language and MySQL database, which makes it easier for customers and shop owners to manage data, store information, process transactions and market furniture digitally. LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/453 10.31294/coscience.v1i2.453 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 161-170 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/453/317 Copyright (c) 2021 hendri hendri, Jefi Jefi, Desiana Nur Kholifah, Kusmayanti Solecha, Rio Nugraha Armanda https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/463 2022-07-25T16:55:24Z co-science:ART driver

Implementasi Metode Profile Matching dan Multi Factor Evaluation Process (MFEP) Dalam Seleksi Pencari Kerja Purwanto , Heru Prasetyo, Arfhan Suryadithya, Rachmat Decision making profile matching MFEP HR An effective job seekers selection process at the company is needed to assist an organization's decision making. The purpose of this paper is to create a system and development of a decision-making system in the human resources (HR) section to find it easier to determine whether job seekers are accepted or not. The multi factor evaluation process (MFEP) is a very effective approach in dealing with decision problems and Profile matching is a multi-criteria selection method, where the determination of aspects and criteria (name of school, appropriate department, GPA value meets, year of graduation, relevant courses, work experience in the appropriate field, projects that have been handled, salary suitability, domicile, honest, responsible and discipline, cooperation, communicative and self-confidence). The advantage of the profile matching method is the provision of standard values from the main and supporting criteria, making it easier for system users to determine the available options. MPEF needs to define the education value factor, target value and attitude value. The final calculation results provide information referring to the same name. Profile Matching method in the first order with a value of 4.62, the second order of 4.59 and the third order of 4.52. The first order MFEP method = 0.513, the second order = 0.510 and the third order = 0.502. This decision support system not only makes it easier to determine the assessment of job seekers but also provides an alternative sequence of candidates who have the potential to be considered by companies or organizations LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/463 10.31294/coscience.v1i2.463 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 171-178 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/463/331 Copyright (c) 2021 Heru Purwanto , Arfhan Prasetyo, Rachmat Suryadithya https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/466 2022-07-25T16:55:24Z co-science:ART driver

Animasi Interaktif Klasifikasi Jangkauan Dan Topologi Jaringan Komputer Berbasis Android Sebagai Media Belajar Rezki, Muhammad Ihsan, Muhammad Ifan Rifani Ambarsari, Diah Ayu Construct 2 Interactive Animation Computer Networks Classification of range and topology has its own types and characteristics. There are many types of outreach classifications and topologies, as well as process methods in learning in schools that are less interactive so that students are bored in the learning process, especially for students of SMK Computer and Network Engineering Department. In practice, making LAN cables requires equipment that is quite expensive, making it difficult to carry out these practical activities outside of school. So that students find it difficult to develop their abilities, especially in the vocational field. With current technological developments, of course, it can be used in the world of education, one of the uses is by making educational applications that can provide a new atmosphere in learning. Interactive animation can be a solution in overcoming the practice of making LAN cables and an explanation of Network Topology. This interactive animation was made using Construct 2 software, developed using multimedia development methods and data collection techniques in the form of observations, interviews and literature studies. The purpose of making interactive applications is so that students can understand the range classification and topology well, and can practice installing LAN cables through interactive animation simulation software as a substitute for school facilities. LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/466 10.31294/coscience.v1i2.466 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 113-122 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/466/305 Copyright (c) 2021 Rezki Muhammad, Muhammad Ifan Rifani Ihsan, Diah Ayu Ambarsari https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/474 2022-07-25T16:55:24Z co-science:ART driver

Rancang Bangun Sistem Informasi Rent Car Dengan Pengunaan Aplikasi Online Abdilah, Ari Lailiah, Badariatul Sa’adah, Rabiatus website Rent MySQL PT. Rent Car is one of the companies engaged in the rental car (rent a car). In the process of recording data, officials are still doing by entering the data into the general ledger, so it is considered less effective also make it difficult for the officer to make a report. When a customer wants to rent a car they want, they often feel disappointed because the car is limited and does not know the information about the car that wants to hire. The method used in this research includes methods of data collection and system development methods. Therefore, PT. Rent Car need a rental application system that can integrate the conventional rental system toward online rental system. And specification of software used to design a web-based information system that is using the programming language PHP scripts and to use MySQL database. LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/474 10.31294/coscience.v1i2.474 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 105-112 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/474/304 Copyright (c) 2021 Ari Abdilah, Badariatul Lailiah, Rabiatus Sa’adah https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/512 2022-07-25T16:55:24Z co-science:ART driver

Memprediksi Pola Ban Hero Pada Game Mobile Legends Menggunakan Algoritma Apriori Putra, Jordy Lasmana Seimahuira, Syarah Data Mining Mobile Legends Apriori Algorithm In this digital era, the development of video games is so rapid, from console-based to smartphone devices. One of the trending video game genres is the Multiplayer Online Battle Arena (MOBA) with one of the most popular MOBA games, the Mobile Legends game. In winning a match in a Mobile Legends game, a good game strategy is needed from each team to defend the base and destroy the opponent's base, one of which is by Ban Hero or banning some existing heroes so that they cannot be used both for the opposing team and for the opposing team. own team. Therefore, this study was conducted to predict the pattern of hero tires using the Apriori algorithm which was carried out on 9 attributes of Hero Mobile Legends. From the results it is known that CHOU Hero is more widely used and not banned compared to 8 other Heroes LPPM Universitas Bina Sarana Informatika 2021-07-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/512 10.31294/coscience.v1i2.512 Computer Science (CO-SCIENCE); Vol. 1 No. 2 (2021): Juli 2021; 155-160 2774-9711 2808-9065 10.31294/coscience.v1i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/512/316 Copyright (c) 2021 Jordy Lasmana Putra, Syarah Seimahuira https://creativecommons.org/licenses/by-nc-sa/4.0

oai:ojs.pkp.sfu.ca:article/623 2022-02-02T11:26:48Z co-science:ART driver

Penerapan Algoritma K-Means Clustering Untuk Mengetahui Kemampuan Karyawan IT Zakiyah, Dina Merlina, Nita Mayangky, Nissa Almira K-Means Clustering Ability Employees Assessment of the ability of IT employees is very necessary to determine the ability of employees to work so that it can be a reference and evaluation for the future. Therefore, we need a technique that can group the employee's ability to determine the employee's ability using the K-Means Clustering Algorithm method. The data grouping is done in several stages, namely, inputting data into Ms. Excel based on the results of data collection through Google Forms, processing and testing with the K-Means Clustering Algorithm, analysis of results, and grouping employee data with excellent, good, adequate, poor, and very poor skills. From the results of the tests that have been carried out, it is obtained 5 clusters with 2 iterations, namely employees with excellent abilities consisting of 2 members, employees with good abilities consisting of 2 members, employees with sufficient abilities consisting of 1 member, employees with less ability consisting of 2 members. , and employees with less ability consist of 3 members. Based on the results of research conducted at PT. Loka Citra Media, the application of the K-Means Clustering Algorithm can be used to identify and classify IT employees' abilities for the purpose of evaluating employees and forming project teams. The grouping of data obtained from research results and can be considered for evaluating the performance of IT employees with an accuracy value of 40%. The more criteria, the better the results will be obtained. LPPM Universitas Bina Sarana Informatika 2022-01-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/623 10.31294/coscience.v2i1.623 Computer Science (CO-SCIENCE); Vol. 2 No. 1 (2022): Januari 2022; 59-67 2774-9711 2808-9065 10.31294/coscience.v2i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/623/649 Copyright (c) 2022 Dina Zakiyah, Nita Merlina, Nissa Almira Mayangky https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/689 2022-02-02T11:24:58Z co-science:ART driver

Perancangan Sistem Informasi Dengan PHP Dan MYSQL Untuk Pendaftaran Sekolah Di Masa Pandemi Raharjo, Mugi Napiah, Musriatun Anwar, Rian Septian Mysql PHP New Student Website During the current Covid-19 pandemic, a platform such as a website is needed to facilitate the process and activities of new student admissions in the field of education, the activity in question is holding a selection of new student admissions in schools. In the process of admitting new students, there are still a lot of schools that still use the system manually or face to face in the admissions process, so that the level of efficiency and security in order to maintain health protocols can be met. In this design, the author conducted a case study in one of the kindergartens in Jakarta which still applies a manual system so that in this pandemic era it is very effective. Students don't need to be bothered to come to school during this pandemic. In terms of education on the website, we provide guidance to parents on how to use the website via whatsapp video call or Zoom Meeting to make it easier. For that we tried to make the website, which is an information system that is used for new student admissions based on the website to make it easier for parents to register for school for their children. And the selection of the website platform was chosen to make it easier for parents to open this service without having to install applications that would normally take up memory on smartphone devices, we created this website with Php and My Sql. The results of this study indicate that this system is able to manage the process of accepting new students for this school. LPPM Universitas Bina Sarana Informatika 2022-01-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/689 10.31294/coscience.v2i1.689 Computer Science (CO-SCIENCE); Vol. 2 No. 1 (2022): Januari 2022; 50-58 2774-9711 2808-9065 10.31294/coscience.v2i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/689/648 Copyright (c) 2022 Mugi Raharjo, Musriatun Napiah, Rian Septian Anwar https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/721 2022-02-02T11:21:39Z co-science:ART driver

Sistem Informasi Kehadiran Karyawan Berbasis Android Menggunakan Metode Geofencing Pada Pt. Gemilang Anugrah Permata Vianto, Zeka Prahudi Yulia, Eka Rini Attendance Information System Information System Android Geofencing The development of technology is so fast that it becomes very necessary in everyday life in order to simplify and optimize human performance in order to get information quickly, effectively and accurately. The use of information technology is a strong factor that greatly influences the development of a company. Currently, its development has begun to move towards mobile phones (mobile / smartphone). Currently, companies can take advantage of the development of information technology in almost all areas of the company's operations. PT. Gemilang Anugrah Permata is a company engaged in IT solutions and security systems, has dozens of employees assigned to go directly to the field to install CCTV and solve problems. Often in practice employees do permission to come directly to the client's location, resulting in the admin needing to re-enter the employee's presence. In that case the accuracy of attendance becomes irrelevant because sometimes employees do not come according to the specified working hours when they come to the client. So it is necessary to develop a web and android-based information system with the geofencing method so that employees can take attendance while at the client according to a predetermined point and the attendance data becomes accurate. LPPM Universitas Bina Sarana Informatika 2022-01-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/721 10.31294/coscience.v2i1.721 Computer Science (CO-SCIENCE); Vol. 2 No. 1 (2022): Januari 2022; 33-41 2774-9711 2808-9065 10.31294/coscience.v2i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/721/646 Copyright (c) 2022 Zeka Prahudi Vianto, Eka Rini Yulia https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/725 2022-03-15T10:00:08Z co-science:ART driver

Pengembangan Aplikasi Pelaporan dan Pengumuman Orang Hilang Berbasis Android (SI CAKAP) Kurniasari, Zulia Ramadhani, Fitriah Ramadhani, Oviana Putri Satria, Mourien Nastiti Maulana, Andry reporting announcement missing person Fire is a frequent disaster, especially in tropical climates. Factors causing fires that often occur are intentional and human negligence. When fires occur, fires often get out of control and spread in the direction of global warming, climate change, landslides, and floods, causing harm to the environment. Because it is difficult to analyze the size of the fire when a fire occurs, therefore with the development of technology and sophistication, it is now possible to know the position of the fire and the thickness of the smoke in a fire using digital images. Image is another term for image as a multimedia component that plays a very important role as a form of visual information. This study aims to segment the fire image by separating 2 images, namely fire and smoke to determine the position of the fire and the thickness of the smoke in the fire. The fire and smoke segmentation research uses the K-means clustering method using the Matlab application. The stages carried out in this research include the Image Input Process, Converted Original Image to Binary, Threshold Conversion Segmentation, Image Segmentation Process. The image segmentation process for the fire and smoke fire images succeeded in separating the fire and smoke objects with a value of T3 = 61. The smoke and fire objects were in the matrix coordinates [50:100,300:200]. LPPM Universitas Bina Sarana Informatika 2022-01-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/725 10.31294/coscience.v2i1.725 Computer Science (CO-SCIENCE); Vol. 2 No. 1 (2022): Januari 2022; 42-49 2774-9711 2808-9065 10.31294/coscience.v2i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/725/647 Copyright (c) 2022 Zulia Kurniasari, Fitriah Ramadhani, Oviana Putri Ramadhani, Mourien Nastiti Satria, Andry maulana https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/776 2022-05-18T20:40:19Z co-science:ART driver

Perancangan Aplikasi Presensi Karyawan Berbasis Mobile Dengan Qrcode Dan Otentikasi Biometrik Fahmi, Nur Muhamad Rizalul Marlina, Siti Arifin, Yoseph Tajul Presensi Mobile QRCode Biometrik Android Javascript The level of performance can be assessed through the level of attendance of employees of a company, attendance is one of the parameters in evaluating employee performance. Several companies or government agencies will always maximize facilities in supporting their work activities, including the employee attendance system. Unfortunately, not all agencies or companies can implement the system properly. Some of them still use the traditional way of recording attendance. This of course can cause some problems both in terms of users or data management, especially if the number of users who make attendance is very large. In addition to data management problems, other problems such as an authentication system that is less secure and prone to fraud can occur. The purpose of this study is to design and implement an android application to make it easier for users to carry out the presence process that is installed on registered devices with the support of scanning a QR code that is generated randomly for each session with biometric authentication support to ensure only verified users run the application. Based on the statement, the application of application-based presence can speed up users in carrying out the presence process with just a few steps, and increase security and user validation. LPPM Universitas Bina Sarana Informatika 2022-01-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/776 10.31294/coscience.v2i1.776 Computer Science (CO-SCIENCE); Vol. 2 No. 1 (2022): Januari 2022; 68-74 2774-9711 2808-9065 10.31294/coscience.v2i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/776/650 Copyright (c) 2022 Yoseph Tajul Arifin, Siti Marlina, Nur Muhamad Rizalul Fahmi https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/849 2022-02-02T11:19:46Z co-science:ART driver

Segmentasi Api dan Asap Pada Kebakaran Dengan Metode K-Means Clustering Rezki, Muhammad Nurdiani, Siti Safitri, Rizky Ade Ihsan, Muhammad Ifan Rifani Iqbal, Muhammad Segmentasi Citra Kebakaran Fire is a frequent disaster, especially in tropical climates. Factors causing fires that often occur are intentional and human negligence. When fires occur, fires often get out of control and spread in the direction of global warming, climate change, landslides, and floods, causing harm to the environment. Because it is difficult to analyze the size of the fire when a fire occurs, therefore with the development of technology and sophistication, it is now possible to know the position of the fire and the thickness of the smoke in a fire using digital images. Image is another term for image as a multimedia component that plays a very important role as a form of visual information. This study aims to segment the fire image by separating 2 images, namely fire and smoke to determine the position of the fire and the thickness of the smoke in the fire. The fire and smoke segmentation research uses the K-means clustering method using the Matlab application. The stages carried out in this research include the Image Input Process, Converted Original Image to Binary, Threshold Conversion Segmentation, Image Segmentation Process. The image segmentation process for the fire and smoke fire images succeeded in separating the fire and smoke objects with a value of T3 = 61. The smoke and fire objects were in the matrix coordinates [50:100,300:200]. LPPM Universitas Bina Sarana Informatika 2022-01-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/849 10.31294/coscience.v2i1.849 Computer Science (CO-SCIENCE); Vol. 2 No. 1 (2022): Januari 2022; 26-32 2774-9711 2808-9065 10.31294/coscience.v2i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/849/656 Copyright (c) 2022 Muhammad Rezki, Siti Nurdiani, Rizky Ade Safitri, Muhammad Ifan Rifani Ihsan, Muhammad Iqbal https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/887 2022-02-02T11:17:47Z co-science:ART driver

Perancangan Jaringan Voice Over Internet Protokol (Voip) Menggunakan Platform Asterisknow Fauzi, Ahmad Setiawan, Ade Utami, Dwi Yuni VoIP IP Telephony AsterikNOW FreePBX Communication is an important stage to support the running of a work program, without good communication it can cause misunderstandings between the two parties, the importance of the role of communication means several companies are growing rapidly in order to innovate in the manufacture of equipment in the telecommunications sector, which is commonly used in long-distance communication. far is the use of telephone services, both individual telephones and company-based telephones, for some companies that use high-enough telephone activity, this will result in soaring telephone bills that must be paid, thus to reduce the level of communication with high costs, we can use VoIP technology ( Voice Over Internet Protocol) which can be used by utilizing the TCP / IP protocol where the protocol without us realizing it is a protocol used for exchanging data, thus the protocol can also be accessed. used as voice voice data exchange using Open Source Software in the Asterisk application which is used as a substitute for PBX (Private Branch Exchange) devices, where in the application it is used to make the TCP / IP protocol as an intermediary for data exchange to communicate or Voice. The advantage of this application is that it is able to serve a maximum of 1000 online accounts on one server and 240 concurrent calls. This is of course suitable for companies who want to implement this technology based on open source applications. LPPM Universitas Bina Sarana Informatika 2022-01-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/887 10.31294/coscience.v2i1.887 Computer Science (CO-SCIENCE); Vol. 2 No. 1 (2022): Januari 2022; 19-25 2774-9711 2808-9065 10.31294/coscience.v2i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/887/644 Copyright (c) 2022 Ahmad Fauzi, Ade Setiawan, Dwi Yuni Utami https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/891 2022-05-12T17:28:55Z co-science:ART driver

Komparasi Static Routing Menggunakan IPv4 Dengan IPv6 Guna Meningkatkan Quality Of Service Sandi, Tommi Alfian Armawan Purnama, Rachmat Ad Firmansyah, Firmansyah Heristian, Sujiliani Routing Static Routing Troughput Delay Packeet Loss The use of technology has recently increased in line with the increase in devices connected to the internet. The IP capacity that covers the device is starting to get out of hand. Routing is needed when the local network is already complex, especially broadcast traffic is only concentrated in each subnet/network. When using IPv4 and IPv6, a routing protocol is required for data exchange or interconnection from client to client or client to server. IPv4 routing performance decreases as the size of the routing table increases, this is due to checking the MTU header on each router and hop switch. IPv6 with its routing process is much more efficient than its predecessor, and also has the ability to manage the large capacity of the route table, so in this study the authors compare IPv4 and IPv6 in terms of static routing efficiency on MikroTik routers. LPPM Universitas Bina Sarana Informatika 2022-01-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/891 10.31294/coscience.v2i1.891 Computer Science (CO-SCIENCE); Vol. 2 No. 1 (2022): Januari 2022; 1-9 2774-9711 2808-9065 10.31294/coscience.v2i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/891/641 Copyright (c) 2022 Tommi Alfian Armawan Sandi, Rachmat Ad Purnama, Firmansyah Firmansyah, Sujiliani Heristian https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/894 2022-02-02T11:15:33Z co-science:ART driver

Pemanfaatan VLAN Untuk Meningkatkan Kinerja Jaringan Komputer BKPP Kabupaten Bogor Widyastuti, Indriyani Hendrian, Yayan DHCP VLAN BKPP Computer networks have an important role in a government agency, especially BKPP. In their daily life, these institutions carry out activities of exchanging documents and data, printing files on the same printer and using hardware or software that is connected to the network together. Government agencies play a very important role in serving the community, therefore a good, secure, stable and fast network is needed in processing small and large data. The Bogor Regency Personnel, Education and Training Agency uses one computer that acts as a multifunctional server for the database server, DHCP server, and web server at the same time. From the results of the analysis, it was found that the topology used is an extended star with IP class C. Using a firewall that is applied to the router, as well as the default Windows antivirus that is already installed on every PC and laptop. Meanwhile, access point security uses WPA2-PSK. The problem faced is that it is easy for people from other divisions who are not interested in seeing and accessing files in other divisions that are confidential. Thus, a VLAN is needed to manage access rights between computer network users in order to maintain data and file authenticatio LPPM Universitas Bina Sarana Informatika 2022-01-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/894 10.31294/coscience.v2i1.894 Computer Science (CO-SCIENCE); Vol. 2 No. 1 (2022): Januari 2022; 10-18 2774-9711 2808-9065 10.31294/coscience.v2i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/894/643 Copyright (c) 2022 Indriyani Widyastuti, Yayan Hendrian https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/993 2022-07-25T17:29:49Z co-science:ART driver

Metode Analytical Hierarchy Process (AHP) Sebagai Sistem Pendukung Keputusan Penerimaan Karyawan Linawati, Safitri Fauzi, Ahmad Zumarniansyah, Ainun Technology SDM SPK AHP The rapid development of technology with the use of computers as a means to assist humans in obtaining information and solving problems, requires software makers to seek optimal innovation in an effort to improve performance both in quantity and quality. Especially for business entities, private companies, agencies that are currently able to make appropriate, fast and accurate decisions. Planning and fulfillment of human resource needs when managed professionally will greatly determine the quality and success of the company. With the above reasons, a decision support system was made using the Analytical Hierachial Process (AHP) method to make it easier to select employee recruitment and get results. 0.215. Followed by education criteria with a weight of 0.189 and the last ability to communicate with a weight of 0.106. The results of the weighting with expert choice were obtained by Aisyah Rahmah with the highest weight of 0.367, then Andini with a weight of 0.316, then Irwan Gumilar with a weight of 0.161, and finally Ardian Natapraja with a weight of 0.157. LPPM Universitas Bina Sarana Informatika 2022-01-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/993 10.31294/coscience.v2i1.993 Computer Science (CO-SCIENCE); Vol. 2 No. 1 (2022): Januari 2022; 75-81 2774-9711 2808-9065 10.31294/coscience.v2i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/993/655 Copyright (c) 2022 Safitri Linawati, Ahmad Fauzi, Ainun Zumarniansyah https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1100 2022-07-28T18:57:54Z co-science:ART driver

Sistem Informasi Pemasaran Perumahan Pada PT. Trixie Graha Anugerah Berbasis Website Menggunakan Metode Waterfall Sistem Informasi Pemasaran Perumahan Pada PT. Trixie Graha Anugerah Berbasis Web Darmawan Laoli Laoli, Darmawan Kristiana, Titin Sistem Informasi, Waterfall, Pemasaran, Perumahan Information System Waterfall Marketing Housing PT. Trixie Graha Anugerah is one of the companies in Bekasi Regency involved in the construction and marketing of housing. PT. Trixie Graha Anugerah continues to use traditional marketing methods in its marketing activities. Several traditional marketing methods have been used in the past, such as printing and distributing brochures, hiring marketing personnel, and setting up booths in congested areas. The author evaluates the conventional marketing methods used at PT. Trixie Graha Anugerah to be less effective and efficient. Conventional marketing methods are ineffective because they cannot reach a large number of potential consumers, and they are inefficient because they require large sums of money to print promotional materials such as brochures, as well as costs to rent stands in congested areas Abstrak  - Kemajuan dan perkembangan teknologi informasi telah membawa perubahan di berbagai bidang kehidupan manusia. Secara umum manusia tidak lepas dari adanya sebuah teknologi, karena teknologi merupakan cara mudah untuk mendapatkan dan membagikan informasi yang dibutuhkan, termasuk berbagai informasi di bidang pemasaran. PT. Trixie Graha Anugerah sebagai salah satu perusahaan yang bergerak di bidang pengembang properti perumahan sangat membutuhkan sistem informasi berbasis web yang dapat menopang kegiatan pemasaran produk perumahan, sehingga calon konsumen akan terbantu mencari informasi yang menunjang minat untuk membeli produk perumahan PT. Trixie Graha Anugerah. Untuk itu penulis mencoba menyusun tugas akhir mengenai sistem informasi pamasaran yang belum terintegrasi. Pada saat ini PT. Trixie Graha Anugerah belum memiliki halaman web yang dapat membantu memasarkan produk perumahan yang mereka bangun. Perancangan sistem informasi ini merupakan solusi yang terbaik untuk meningkatkan tingkat kepercayaan konsumen kepada PT. Trixie Graha Anugerah dengan cara membuat website yang mumpuni dengan sember informasi yang menunjang segala kebutuhan informasi untuk konsumen. Dengan menggunakan metode SDLC Waterfall program web ini bisa untuk dikembangkangkan lagi kedepanya, begitu juga dengan software yang digunakkan untuk membuat website pemasaran ini. Kata Kunci : Sistem Informasi, Waterfall, Pemasaran, Perumahan LPPM Universitas Bina Sarana Informatika 2022-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1100 10.31294/coscience.v2i2.1100 Computer Science (CO-SCIENCE); Vol. 2 No. 2 (2022): Juli 2022; 143-152 2774-9711 2808-9065 10.31294/coscience.v2i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1100/891 Copyright (c) 2022 Darmawan Laoli, Titin Kristiana https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1151 2022-07-28T18:57:44Z co-science:ART driver

Perbandingan Tingkat Pengangguran Terbuka Provinsi di Indonesia Berbasis Metode K-Means Clustering Penerapan Metode K-Means Clustering pada Data Tingkat Pengangguran Terbuka Tahun 2016-2018 dan 2019-2021 Rayhan Maliqi Falgenti, Kursehi Maliqi, Rayhan Falgenti, Kursehi Priani, Sinta Fithri, Fajrul Suherman, Muhammad Nugraha, Dwi Satria clustering analysis data mining k-mean unemployment Analisa clustering data mining k-means pengangguran The problem of unemployment has an impact on poverty, crime, and inequality in living standards. The government needs to anticipate these impacts through various policies. Knowledge is essential in supporting decision-making and policy formulation related to unemployment. Researchers have been mining data to gain new knowledge from Indonesia's Open Unemployment Rate (TPT) data. Continuous exploration of data has the opportunity to gain new knowledge. This study aims to mine Indonesian TPT data from 2016 to 2021. More specifically, look at changes in the 2016-2018 TPT data cluster with the 2019-2021 TPT data cluster. This research is a clustering analysis research using the k-means algorithm. The stages of clustering research consist of 1) data collection, 2) pre-processing, 3) determination of the optimal number of clusters, 4) data clustering with the k-mean, and 5) interpretation of the results of clustering. Based on the k-means clustering analysis of 2016-2018 and 2019-2021 TPT data, there are 23 provinces in cluster 1 (low TPT) and 11 provinces in cluster 2 (high TPT). Only Riau Province rose to cluster 1 (low TPT), and only West Sumatra province dropped to cluster 2 (High TPT). The study's results not only yielded the number of provinces in the high and low clusters but also found out which provinces moved to a higher cluster or vice versa in each TPT data. Masalah pengangguran berdampak pada kemiskinan, kriminalitas, dan ketimpangan taraf hidup. Pemerintah harus mengantisipasi dampak tersebut melalui berbagai kebijakan pemerintah. Pengetahuan memainkan peran penting dalam mendukung pengambilan keputusan dan perumusan kebijakan pemerintah terkait dengan pengangguran. Beberapa peneliti telah menggali data untuk mendapatkan pengetahuan baru dari data Tingkat Pengangguran Terbuka (TPT) Indonesia. Data yang tersedia perlu terus digali untuk mendapatkan pengetahuan baru. Penelitian ini bertujuan untuk menambang data TPT Indonesia dari tahun 2016 hingga tahun 2021. Secara lebih spesifik penelitian ini melihat perubahan klaster data TPT tahun 2016-2018 dibandingkan dengan klaster data TPT tahun 2019-2021. Metode data mining adalah analisis clustering menggunakan algoritma k-means. Hasil penelitian; berdasarkan analisis k-means clustering, hanya Provinsi Riau yang naik ke cluster 1 (TPT rendah), dan hanya provinsi Sumatera Barat yang turun ke cluster 2 (TPT Tinggi). LPPM Universitas Bina Sarana Informatika 2022-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1151 10.31294/coscience.v2i2.1151 Computer Science (CO-SCIENCE); Vol. 2 No. 2 (2022): Juli 2022; 109-116 2774-9711 2808-9065 10.31294/coscience.v2i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1151/896 Copyright (c) 2022 Rayhan Maliqi, Kursehi Falgenti, Sinta Priani, Fajrul Fithri, Muhammad Suherman, Dwi Satria Nugraha https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1168 2022-07-28T18:57:37Z co-science:ART driver

Implementasi Jaringan VPN Menggunakan L2TP Dengan IP Sec Pada PT Datindo Infonet Prima Implementasi Jaringan VPN Menggunakan L2TP Dengan IP Sec Pada PT Datindo Infonet Prima Triyansa, Farizal Sobari, Irwan Agus Irwan Agus Sobari VPN L2TP IPsec VPN, L2TP, IPsec. This design is based on the need for a network that specializes in users for working at home (WFH) due to the covid-19 pandemic problem by PPKM level 3 government regulations. using public facilities. With a VPN, companies can establish an easy and secure data connection. VPN can allow for the formation of a private data network that can be accessed through a public network, namely the internet, only those who have the authority can access the VPN. L2TP (Layer 2 Tunneling Protocol) offers a fairly good security solution by creating a tunnel on a public network. The use of L2TP itself cannot be separated from the influence of the security system which is growing rapidly. Therefore, by adding the L2TP process with IPsec, it is hoped that it will be able to handle problem cases from the network security system. With VPN access, workers can work from home (WFH) without having to go to the office. Perancangan ini berlatar belakang oleh adanya kebutuhan suatu jaringan yang mengkhususkan user tertentu untuk mengakses data lokal dari suatu server. Tepatnya teknologi VPN sangat berperan penting dalam dunia komunikasi sekarang ini, dikarenakan VPN mampu membuat jaringan lokal dengan menggunakan fasilitas publik. Dengan adanya VPN perusahaan bisa menjalin suatu koneksi data yang mudah dan bersifat aman. VPN dapat memungkinkan untuk terbentuknya suatu jaringan data privasi yang dapat di akses melalui jaringan publik yaitu internet, Hanya yang mendapatkan otoritas sajalah yang dapat mengakses VPN tersebut. L2TP (Layer 2 Tunneling Protocol) menawarkan solusi keamanan yang cukup baik dengan cara membuat tunnel (terowongan) pada jaringan publik. Penggunaan L2TP itu sendiri tidak lepas dengan pengaruh sistem keamanan yang makin berkembang pesat, Oleh karenanya dengan menambahkan proses L2TP dengan IPsec diharapkan mampu menangani kasus masalah dari sistem kemanan jaringan LPPM Universitas Bina Sarana Informatika 2022-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1168 10.31294/coscience.v2i2.1168 Computer Science (CO-SCIENCE); Vol. 2 No. 2 (2022): Juli 2022; 82-89 2774-9711 2808-9065 10.31294/coscience.v2i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1168/886 Copyright (c) 2022 Irwan Agus Sobari, Farizal Triyansa https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1189 2022-07-28T18:57:32Z co-science:ART driver

Aplikasi Media Pembelajaran Alat Musik Gitar Berbasis Android Menggunakan Metode SDLC : indonesia Saputra, Rio Ahmadi, Dani Prastiyo, Ryan Hermawan, Rizky Maulana, Andry learning media Guitar Chord Aplication Guitar Nowadays, people's interest in playing the guitar is increasing. Playing the guitar can further enhance personal branding in today's digital era, many of the general public are suddenly famous for playing musical instruments such as the guitar. However, the ability to learn guitar instruments has constraints such as time and funds that are not small to attend guitar school, so many people choose to self-taught independently. However, self-study is not easy. Therefore, the author tries to do a study with the aim of making an Android-Based Guitar Musical Instrument Learning Media Application as an alternative way of learning guitar independently that can be used independently so that it can be used anywhere and anytime. By applying the SDLC (System Development Life Cycle) method, which is a method that describes the information system development life cycle. So that the application is divided into several levels that are tailored to the user. At each level there is material in the form of learning videos that can be listened to for an explanation. Based on the results of the Black Box testing carried out, the application that was built is functioning well, the input and output results are according to the results of the application. So the author can conclude that the Android-Based Guitar Musical Instrument Learning Media Application is very helpful for someone to learn guitar independently and effectively without having to spend money to attend music school. LPPM Universitas Bina Sarana Informatika 2022-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1189 10.31294/coscience.v2i2.1189 Computer Science (CO-SCIENCE); Vol. 2 No. 2 (2022): Juli 2022; 90-99 2774-9711 2808-9065 10.31294/coscience.v2i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1189/887 Copyright (c) 2022 Rio Saputra, Dani Ahmadi, Ryan Prastiyo, Rizky Hermawan, Andry Maulana https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1212 2022-08-01T15:29:26Z co-science:ART driver

Optimization Of Video Conference With Priority Features On The Mikrotik Router Prioritas Video Conference Traffic Fitur Port Firewall Mangle IP Address List Dalam Mikrotik RouterOS Pratama, Eka Kusuma Pratama, Eka Kusuma Firmansyah, Firmansyah Sandi , Tommi Alfian Armawan Astuti, Rachmawati Darma Video conference, Mikrotik , zoom Video conference Mikrotik zoom Munculnya standar baru yang harus dipenuhi oleh semua aktor. Akses mudah ke konferensi video memiliki banyak aspek positif yang akhirnya menjadi kebutuhan saat ini. Setiap aplikasi menyediakan akses mudah ke komunikasi yang semakin canggih dan menarik, menjadikannya bagian dari kehidupan saat ini. Beberapa fitur yang memungkinkan lebih dari 100 peserta untuk berpartisipasi dalam konferensi video yang sama dapat berdampak besar pada dunia pendidikan dan bisnis saat ini. Pendidikan dasar yang berlangsung secara offline saja dan disusun di satu tempat, kini dapat diselesaikan kapan saja, di mana saja melalui laptop atau ponsel. Ini adalah konferensi video menggunakan aplikasi zoom. Pengaturan jaringan yang dikonfigurasi secara intensif oleh aktivitas diharapkan dapat memaksimalkan konferensi video saat digunakan oleh banyak peserta. Penggunaan traffic priority mikrotik dengan limitasi packet jaringan yang membuat jaringan tertentu lebih diprioritaskan dahulu. The emergence of new standards that must be met by all actors. Easy access to video conferencing has many positive aspects which have finally become a necessity nowadays. Each app provides easy access to increasingly sophisticated and engaging communications, making them a part of today's life. Some features that allow more than 100 participants to participate in the same video conference can have a huge impact on today's education and business world. Basic education that takes place offline only and is compiled in one place, can now be completed anytime, anywhere via a laptop or mobile phone. This is a video conference using the zoom app. Activity-intensively configured network settings are expected to maximize video conferencing when used by multiple participants. Use of mikrotik traffic priority with network packet limitations that make certain networks more prioritized first. The use of the mikrotik priority feature is expected to be able to overcome the lack of stability in video conferencing display and can be the most effective solution. Users everywhere can apply directly to their network and become an effective solution when using video conferencing applications. LPPM Universitas Bina Sarana Informatika 2022-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1212 10.31294/coscience.v2i2.1212 Computer Science (CO-SCIENCE); Vol. 2 No. 2 (2022): Juli 2022; 153-160 2774-9711 2808-9065 10.31294/coscience.v2i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1212/894 Copyright (c) 2022 Eka Kusuma Pratama, Firmansyah Firmansyah, Tommi Alfian Armawan Sandi , Rachmawaati Darma Astuti https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1219 2022-07-28T18:57:18Z co-science:ART driver

Sistem Informasi Inventaris Perangkat Keras dan Peripheral Berbasis Enterprise Resource Planning (ERP) ERP Sistem Informasi Inventaris Perangkat Keras dan Peripheral Berbasis Enterprise Resource Planning (ERP) Nurfariyanto, Fauzi Nurmalasari, Nurmalasari Nurmalasari, Nurmalasari Enterprise Resource Planning Inventory Information System Peripheral Enterprise Resource Planning, Inventory Information System, Peripheral The development of information today encourages an increase in effective and efficient work styles. One of the business needs in providing information system tools is technology-based information. When a computerized system shows higher reliability. But at PT. Limawira Wisesa in conducting hardware data collection has not been computerized, such as recording specifications still using Microsoft Excel so that data collection feels inefficient and can cause errors and errors in recording specifications. Based on these problems, a hardware, and peripheral inventory information system was built to make it easier to search for data quickly and precisely and provide convenience to related staff in managing hardware and peripheral specification data. The information system begins with system requirements analysis, system design, program code, and program testing, and is built according to the waterfall method. The staff involved in managing hardware specification data can access the admin user. The information system is built based on enterprise resource planning, namely the Inventory Module so that the system is integrated with other systems at PT. Limawira Wisesa. PT. Limawira Wisesa dalam melakukan pendataan perangkat komputer belum terkomputerisasi, seperti pencatatan spesifikasi komputer masih menggunakan Microsoft Excel sehingga pendataan terasa tidak efesien dan dapat menyebabkan kekeliruan dan kesalahan dalam pencatatan spesifikasi. Berdasarkan permasalahan tersebut dibutuhkan sebuah perancangan sistem informasi inventaris perangkat komputer dan data barang untuk memudahkan dalam pencarian data secara cepat dan tepat, serta memberikan kemudahan kepada para staff terkait dalam pengelolaan data spesifikasi komputer dan data barang peripheral. Dan untuk para staff terkait dalam mengelola data spesifikasi computer user akan dibuatkan oleh admin. LPPM Universitas Bina Sarana Informatika 2022-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1219 10.31294/coscience.v2i2.1219 Computer Science (CO-SCIENCE); Vol. 2 No. 2 (2022): Juli 2022; 99-108 2774-9711 2808-9065 10.31294/coscience.v2i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1219/895 Copyright (c) 2022 Fauzi Nurfariyanto, Nurmalasari Nurmalasari https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1258 2022-08-05T15:51:08Z co-science:ART driver

Penerapan Algoritma KNN Pada Analisis Sentimen Review Aplikasi Peduli Lindungi Penerapan Algoritma KNN Pada Analisis Sentimen Review Aplikasi Peduli Lindungi Astuti, Puji Nuris, Nuzuliarini Kata Kunci : Sentimen Analis, K-Nearest Neighbor, dan Aplikasi PeduliLindungi Sentiment analysis K-nearest neighbor Peduli Lindungi Covid-19 made all of Indonesia and even the whole world a country that died from the sars covid-19 virus. The Indonesian government is trying everything for the sake of the community to avoid the outbreak of the sars covid-19 virus. Building an Indonesian government application that is used as a container on the way, the detection of the covid-19 virus was even detected by a vaccination certificate held simultaneously by the Indonesian government. The Pedulilindung application downloaded through the play store provides opinions from various individuals of the community. The author summarizes the Opinin to conduct research on classifying the text of the review, where the amount of data summarized as much as 200 reviews, consisting of 100 positive review data and 100 negative review data, where the sentiment is related to the sentence : good, fast, disappointed, stupid, not worth it. Doing classification with K-Nearest Neighbor method is proven that with this method to get a good accuracy value classification where the accuracy value obtained by 81.72% with AUC 0.856, grouping AUC value 0.856 included into the Good Classification group, so in this case the K-NN method is able to analyze sentiment review PeduliLindungi application. Covid-19 membuat seluruh Indonesia bahkan seluruh Dunia menjadi negara yang mati akibat virus sars covid-19. Pemerintah Indonesia mengupayakan segala hal demi masyarakat agar terhindar dari wabah virus sars covid-19 ini. Membangun sebuah aplikasi pemerintahan Indonesia yang digunakan sebagai wadah dalam perjalanan, deteksi terjangkitnya virus covid-19 bahkan terdeteksi sertifikat vaksinasi yang diselenggarak serentak oleh Pemerintah Indonesia. Aplikasi PeduliLindungi yang diunduh melalui play store memberikan opini dari berbagai individu masyarakat. Opinin tersebut penulis rangkum untuk melakukan penelitian pengklasifikasian teks review, dimana jumlah data yang dirangkum sebanyak 200 review, terdiri dari 100 data review positif dan 100 data review negative, dimana sentiment tersebut berhubungan dengan kalimat: bagus, cepat, kecewa, bodoh, tidak layak. Melakukan klasifikasi dengan metode K-Nearest Neighbor terbukti bahwa dengan metode ini mendapatkan klasifikasi nilai akurasi baik dimana nilai akurasi yang didapat sebesar 81,72% dengan AUC 0.856, pengelompokan nilai AUC 0,856 termasuk kedalam kelompok Good Classification, sehingga dalam hal ini metode K-NN mampu menganalisa sentiment review aplikasi PeduliLindungi.   Kata Kunci : Sentimen Analis, K-Nearest Neighbor, dan Aplikasi PeduliLindungi LPPM Universitas Bina Sarana Informatika 2022-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1258 10.31294/coscience.v2i2.1258 Computer Science (CO-SCIENCE); Vol. 2 No. 2 (2022): Juli 2022; 137-142 2774-9711 2808-9065 10.31294/coscience.v2i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1258/902 Copyright (c) 2022 Puji, Nuzuliarini Nuris https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1291 2022-08-05T15:49:14Z co-science:ART driver

Penerapan Finite State Machine Dalam Inteaksi Dialog Dalam Novel Game Forest Life Penerapan Finite State Machine Dalam Inteaksi Dialog Dalam Novel Game Forest Life Mustofa, Mustofa Maarif, Vadlya Novel, Achmad Sunanto, Sunanto Kesuma, Chandra novel game, finite state machine, education novel game finite state machine education Human life is increasingly complex in today's technology-filled era, often making people feel tired and tired in their activities. Of course, the presence of this technology also provides an answer by providing an increasingly creative and varied variety of entertainment such as video streaming services, social media, online comics, internet, video games and many other services. Of the several entertainments that are quite popular, video games are one of the entertainments that are consistently the main choice. The game is currently quite in demand and has been favored by various ages, especially teenagers. However, currently the majority of video games circulating in the country come from outside and lack of education. For this reason, the need for literacy in making games that are easy to make but still fun to play and have an educational element. This study tries to create a simple novel game by utilizing a finite state machine to facilitate the design of the storyline. By using the finite state machine, designing video game storylines becomes faster and easier. Kehidupan manusia yang semakin kompleks di era penuh teknologi saat ini, kerap kali membuat manusia merasa lelah dan penat dalam beraktifitas. Tentu saja kehadiran teknologi ini juga memberikan jawaban dengan mengadirkan ragam hiburan yang semakin kreatif dan variatif seperti layanan video streaming, sosial media, komik online, internet, video game dan masih banyak yang lainnya. Diantara sekian banyak hiburan yang cukup diminati, video game merupakan salah satu hiburan yang konsisten menjadi pilihan utama. Game saat ini sangat diminati dan sudah sangat meluas pada semua kategori usia khususnya remaja. Namun saat ini video game yang beredar di dalam negeri mayoritas berasal dari luar dan minim akan edukasi. Untuk itulah perlunya literasi pembuatan game yang mudah dibuat namun tetap seru untuk dimainkan serta memiliki unsur edukasi. Penelitian ini mencoba untuk membubuat novel game yang sederhana dengan memanfaatkan finite state machine dalam mempermudah perancangan alur ceritanya. Dengan menggunakan finite state machine perancangan alur cerita video game menjadi lebih cepat dan mudah. LPPM Universitas Bina Sarana Informatika 2022-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1291 10.31294/coscience.v2i2.1291 Computer Science (CO-SCIENCE); Vol. 2 No. 2 (2022): Juli 2022; 127-136 2774-9711 2808-9065 10.31294/coscience.v2i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1291/893 Copyright (c) 2022 Mustofa, Vadlya Maarif, Achmad Novel, Sunanto Sunanto, Chandra Kesuma https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1351 2023-02-07T08:41:24Z co-science:ART driver

Sistem Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Dengan Metode AHP Pada PT Telkom Witel Kalbar: Sistem Pendukung Keputusan, Pemilihan Karyawan Terbaik, Metode AHP Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Dengan Metode AHP Pada PT Telkom Witel Kalbar: Sistem Pendukung Keputusan, Pemilihan Karyawan Terbaik, Metode AHP Prasetyo, Wira Heni Hermaliani, Eni Hasanah, Riyan Latifahul Heni Hermaliani, Eni Decision Support System Best Employee Selection AHP Method Sistem Pendukung Keputusan, Pemilihan Karyawan Terbaik, Metode AHP PT. Telkom Witel Kalbar currently has many employees but with so many employees, the selection of the best employees is made manually so that the company is still difficult to determine the best employees. With these problems, researchers are interested in conducting research in the form of a decision support system that can later help the company to determine the selection of the best employees in the form of an application. The Analytical Hierarchy Process (AHP) is a theory that contains measurements used to find the ratio scale by means of pairwise comparisons between factors. This study uses the Analytical Hierarchy Process method as an alternative solution to the decision support system for selecting the best employees at PT. Telkom Witel Kalbar. The application of the AHP method is considered capable of providing an initial value of personal problems and then becoming objective to increase the accuracy level in selecting the best employees. PT.Telkom Witel Kalbar currently has many employees but with so many employees, the selection of the best employees is done manually so that the company is still difficult to determine the best employees. With these problems, researchers are interested in conducting research in the form of a decision support system that can later help from the company to determine the selection of the best employees in the form of a application. The Analytical Hierarchy Process (AHP) is a theory that contains measurements used to find the ratio scale by means of pairwise comparisons between factors. This study uses the Analytical Hierarchy Process method as an alternative solution to the decision support system for selecting the best employees at PT. Telkom Witel Kalbar. The application of the AHP method is considered capable of providing an initial value of subjective problems and then becoming objective so as to increase the level of accuracy in selecting the best employees so as to get the results of the research, namely Mr. Satria became the best employee. LPPM Universitas Bina Sarana Informatika 2023-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1351 10.31294/coscience.v3i1.1351 Computer Science (CO-SCIENCE); Vol. 3 No. 1 (2023): Januari 2023; 8-16 2774-9711 2808-9065 10.31294/coscience.v3i1 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1351/1145 Copyright (c) 2023 Wira Prasetyo, Eni Heni Hermaliani, Riyan Latifahul Hasanah https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1373 2022-08-05T08:00:04Z co-science:ART driver

Sistem Informasi Badan Kerjasama Antar Desa Unit Pengelola Kegiatan Simpan Pinjam Berbasis Website Perancangan Sistem Informasi Badan Kerjasama Antar Desa UPK Simpan Pinjam Berbasis Website Kecamatan Somagede Budhie, Dwi Hamdani Adiatma Yulia, Eka Rini Cooperation Information Systems Websites Kerjasama, Sistem Informasi, Website The Inter-Village Cooperation Agency or BKAD which is a business forum formed based on an agreement between villages. After doing research at the BKAD, Somagede District, Savings and Loans Management Unit, the problem that occurs is that the use of technology has not been maximized and the system used in the recording process is still using books. In terms of data storage and retrieval will be difficult. Efforts to manage human resources and natural resources around so as to increase village income. From these problems, the website-based BKAD UPK Savings and Loan Information System was created. This study uses the method of observation, interviews and literature study, while the system development uses agile software development method with the Extreme Programming (XP) methodology. This information system is made using the Notepad++ software application as a text editor and XAMPP Version 3.3.0 as a local server which will later be given a domain and hosting. While the programming language uses PHP and HTML. With a computerized system, data collection is well structured, reducing problems that arise due to a manual system and can facilitate the work of BKAD employees in data so that it is more effective and efficient in its use. Upaya untuk mengelola sumber daya manusia serta sumber daya alam yang ada di sekitar sehingga meningkatkan pendapatan Desa. Dibentuk suatu Badan Kerjasama Antar Desa atau BKAD yang merupakan wadah usaha yang dibentuk berdasarkan kesepakatan antar Desa. Setelah dilakukan riset pada BKAD Kecamatan Somagede Unit Pengelola Kegiatan simpan pinjam, permasalahan yang terjadi adalah pemanfaatan teknologi yang belum maksimal dan sistem yang digunakan dalam proses pencatatan administrasi masih menggunakan buku. Dalam hal penyimpanan dan pencarian data akan sulit. Dari permasalahan tersebut maka dibuatlah Sistem Informasi BKAD UPK simpan pinjam berbasis website. Penelitian ini penulis menggunakan metode observasi, wawancara dan studi pustaka, sedangkan pengembangan sistemnya menggunakan metode agile software development dengan metodologi Extreme Programming (XP). Sistem informasi ini dibuat menggunakan aplikasi perangkat lunak Notepad++ sebagai text editor dan XAMPP Versi 3.3.0 sebagai server local yang nantinya akan diberi domain dan hosting. Sedangkan bahasa pemrograman penulis menggunakan PHP dan HTML. Dengan sistem yang terkomputerisasi, data administrasi tersusun dengan baik, mengurangi permasalahan yang timbul akibat sistem yang masih manual dan dapat mempermudah pekerjaan karyawan BKAD. LPPM Universitas Bina Sarana Informatika 2022-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1373 10.31294/coscience.v2i2.1373 Computer Science (CO-SCIENCE); Vol. 2 No. 2 (2022): Juli 2022; 117-126 2774-9711 2808-9065 10.31294/coscience.v2i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1373/890 Copyright (c) 2022 Dwi Hamdani Adiatma Budhie, eka rini yulia https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1527 2023-02-07T08:41:24Z co-science:ART driver

Penerapan Metode Profile Matching Pada Proses Pengambilan Keputusan Promosi Jabatan Karyawan PT. United Tractors Penerapan Metode Profile Matching Pada Promosi Jabatan Karyawan Di PT. United Tractors Ng Cuar, Monica Honay Ng Cuar, Monica Honay Wanda, Sulistianto Sutrisno Profile Matching, Gap Kompetensi Profile Matching Competency Gaps Core Factor Secondary Factor The company does not yet have a system that can help provide recommendations to companies in determining the best employees as one of the conditions for promotion. The system used is GAP competence. Competency GAP compares individual competencies to job competencies so that differences in competence are obtained. This study aims to create a decision-making model for promotion using the profile matching method, in order to be able to find out the assessment process objectively and transparently in accordance with the provisions at PT. United Tractors. The method used is quantitative because the research data is in the form of numbers. The results showed that the decision support system for promotion using the profile matching method through the process of collecting and analyzing data as well as the process of determining the ranking of employees of PT. United Tractors begins with determining the Gap, the weight of the Gap value, grouping the core factors and secondary factors, calculating the total value and finally determining the ranking.  Penelitian ini bertujuan untuk membuat model pengambilan keputusan promosi jabatan  dengan menggunakan metode profile matching, agar bisa Mengetahui proses penilaian secara objektif dan transparansi sesuai dengan ketentuan dalam promosi jabatan dan menerapkan metode profile matching di PT. United Tractors yang di gunakan dalam menentukan promosi jabatan. Metode yang digunakan kuantitatif karena data penelitian berupa angka-angka. Hasil penelitian menunjukan bahwa sistem pendukung keputusan kenaikan jabatan menggunakan metode profile matching dirancang dan dibangun melalui proses pengumpulan dan analisa data dan Proses penentuan ranking karyawan united tractors yang dihitung dengan menggunakan metode Profile Matching dimulai dengan menentukan Gap, bobot nilai Gap, pengelompokkan core factor dan secondary factor, perhitungan nilai total, dan terakhir penentuan ranking.   Kata kunci : Profile Matching, Gap Kompetensi LPPM Universitas Bina Sarana Informatika 2023-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1527 10.31294/coscience.v3i1.1527 Computer Science (CO-SCIENCE); Vol. 3 No. 1 (2023): Januari 2023; 17-23 2774-9711 2808-9065 10.31294/coscience.v3i1 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1527/1146 Copyright (c) 2023 Monica Honay Ng Cuar, Sulistianto Sutrisno Wanda https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1566 2023-02-10T12:24:25Z co-science:ART driver

Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode Weighted Product Pada PT.Steadfast Marine, Pontianak Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode WP Pada PT. Steadfast Marine, Pontianak Sianipar, Deliana Hendri, Hendri Sianipar, Deliana Hendri Best employee performance Decision Support System Weighted Product (WP) Kinerja karyawan terbaik Sistem Pendukung Keputusan Weighted Product (WP) The best employees have the potential to increase a company's productivity, which in turn increases profits. However, the problem with PT. Steadfast Marine, a Pontianak-based company that designs and builds ships, has not done the best job of hiring the best employees. Therefore, human resource management, namely using the weighted product (WP) method to select the best employees and improve employee performance in order to remain competitive in the business world, is an important component of successful business operations. Using multiplication to relate the value of the criteria, where each criterion must be raised to the first rank, with the weight of the relevant criteria, taking into account the criteria and weights. To select the best employees accurately and computerized, DSS can help provide solutions. Research was conducted to see and prove the truth and develop pre-existing knowledge by using criteria and applying them to web applications. The employee who was selected as the best employee among the alternatives in the company can be seen from the calculation results. Leading the administration of selecting the best employees. The highest score of 0.0490 as an employee eligible for an award from the company was obtained on behalf of Sau Kong. Karyawan terbaik memiliki potensi untuk meningkatkan produktivitas perusahaan, yang pada gilirannya meningkatkan keuntungan. Namun, masalah dengan PT.Steadfast Marine, perusahaan yang berbasis di Pontianak yang merancang dan membangun kapal, belum melakukan pekerjaan terbaik dalam mempekerjakan karyawan terbaik. Oleh karena itu, manajemen sumber daya manusia—yaitu menggunakan metode weighted product (WP) untuk memilih karyawan terbaik dan meningkatkan kinerja karyawan agar tetap kompetitif di dunia bisnis—merupakan komponen penting dari operasi bisnis yang sukses. Menggunakan perkalian untuk menghubungkan nilai dari kriteria, dimana setiap kriteria harus dinaikkan ke peringkat pertama, dengan bobot kriteria yang bersangkutan, dengan mempertimbangkan kriteria dan bobot. Untuk memilih karyawan terbaik secara akurat dan terkomputerisasi, DSS dapat membantu memberikan solusi. Karyawan yang terpilih sebagai karyawan terbaik diantara alternatif-alternatif yang ada di perusahaan dapat dilihat dari hasil perhitungan. Memimpin administrasi pemilihan karyawan terbaik. Skor tertinggi 0,0490 sebagai karyawan yang memenuhi syarat untuk penghargaan dari perusahaan diperoleh atas nama Sau Kong. LPPM Universitas Bina Sarana Informatika 2023-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1566 10.31294/coscience.v3i1.1566 Computer Science (CO-SCIENCE); Vol. 3 No. 1 (2023): Januari 2023; 33-41 2774-9711 2808-9065 10.31294/coscience.v3i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1566/1159 Copyright (c) 2023 Deliana Sianipar, Hendri Hendri https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1734 2023-02-07T08:41:24Z co-science:ART driver

Analisis Load Balancing Menggunakan Metode PCC pada Badan Pengelolaan Keuangan dan Aset Daerah (BPKAD) Analisis Load Balancing Menggunakan Metode Pcc (Per Connection Classifier) Pada Badan Pengelolaan Keuangan Dan Aset Daerah (Bpkad) Kabupaten Bogor Sujiliani, Sujiliani Heristian Heristian, Sujiliani Cahyo, Septiyan Dwi Mikrotik Load Balancing Per Connection Classifier Mikrotik Load Balancing Per Connection Classifier Along with the increasing human need for information technology, the development of information technology is increasingly spurred. This development is in line with advances in information technology and computer networks that use technology that applies automation to the system. Internet connection at the Regional Financial and Asset Management Agency Kab. Bogor uses 2 Internet Service Providers. When one of the ISPs experiences a problem, the internet service will be disrupted and must be configured manually. The purpose of writing this final project is to keep the internet connection stable and not interfere with employee performance. The writing of this final project uses the methods of interview, observation, and literature study. The purpose of this study is how the author applies load balancing techniques that can overcome problems related to connection paths from 2 ISPs. One solution to deal with this problem is to use the method per connection classifier. The per connection classifier allows routers to remember the incoming and outgoing data paths that were passed at the beginning of the connection traffic. By implementing the load balancing technique using the per connection classifier method, it is hoped that the internet connection will be stable and not interfere with the performance of the employees. Seiring dengan meingkatnya kebutuhan manusia akan teknologi informasi, maka perkembangan teknologi informasi semakin terpacu. Perkembangan ini sejalan dengan kemajuan teknologi informasi dan jaringan komputer yang menggunakan teknologi yang menerapkan otomatisasi pada sistemnya. Koneksi internet pada Badan Pengelolaan Keuangan dan Aset Daerah Kab. Bogor menggunakan 2 Internet Service Provider. Ketika salah satu ISP mengalami gangguan maka layanan internet akan terganggu dan harus dikonfigurasi secara manual. Tujuan penulisan tugas akhir ini untuk menjaga koneksi internet tetap stabil dan tidak mengganggu kinerja pegawai. Penulisan tugas akhir ini menggunakan metode wawancara, observasi, dan studi pustaka. Maksud dari penelitian ini adalah bagaimana penulis menerapkan teknik load balancing yang dapat mengatasi permasalahan terkait jalur koneksi dari 2 ISP. Salah satu solusi untuk menangani masalah tersebut adalah menggunakan metode per connection classifier. Per connection classifier memungkinkan router mengingat jalur masuk dan keluarnya data yang telah dilewati di awal lalu lintas koneksi. Dengan penerapan teknik load balancing menggunakan metode per connection classifier, diharapkan koneksi internet menjadi stabil dan tidak menganggu kinerja dari para pegawai LPPM Universitas Bina Sarana Informatika 2023-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1734 10.31294/coscience.v3i1.1734 Computer Science (CO-SCIENCE); Vol. 3 No. 1 (2023): Januari 2023; 1-7 2774-9711 2808-9065 10.31294/coscience.v3i1 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1734/1147 Copyright (c) 2023 Sujiliani Heristian Sujiliani, Septiyan Dwi Cahyo https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1795 2023-02-07T16:55:14Z co-science:ART driver

Perancangan Kansei Engineering System (KES) untuk Optimasi Hasil Pencarian Berdasarkan Kategori Emosi Rancangan Kansei Engineering System (KES) untuk Optimasi Hasil Pencarian Berdasarkan Kategori Emosi Nurlaelasari, Euis Pramono, Eko Pramono, Eko Analytical Hierarchy Process, Kansei Engineering System, Kansei Type II Anlytical Hierarchy Process Kansei Engineering System Kansei Type II The design of a product will greatly influence a person's interest in the product and provide an overview of the impression of the product. Kansei Engineering is a method of determining product design based on feelings or emotions. The design of the product will be translated into human emotions. A brightly colored plate with a flower shape can be interpreted as a joyful emotion. This makes humans have an attachment to the product because of the emotional connection. Therefore, this research will implement the Kansei engineering method for products in e-commerce. This goal is motivated by e-commerce trends that will continue to develop in the future. The results of this study are the design of the Kansei system for searching products in e-commerce catalogs based on emotion. The conclusion of this research is to develop the best emotion-based product search algorithm and design the Kansei system with the main function of emotion-based product search. Based on the results that have been obtained, further research is expected to use a certain algorithm to automate the knowledge base processing which is very much needed in KES. Desain dari sebuah produk akan sangat mempengaruhi ketertarikan seseorang pada produk tersebut, sekaligus akan memberikan gambaran mengenai kesan terhadap produk tersebut. Kansei Engineering merupakan sebuah metode penentuan desain produk berdasarkaan perasaan atau emosi. Desain dari produk akan diterjemahkan kedalam emosi yang dimiliki manusia. Sebuah piring berwarna cerah dengan bentuk bunga bisa diinterpretasikan sebagai emosi yang ceria. Hal tersebut membuat manusia memiliki keterikatan dengan produk karena hubungan emosi. Oleh karena itu, pada penelitian ini akan mengimplementasikan metode kansei engineering untuk produk di e-commerce. Tujuan tersebut dilatarbelakangi oleh tren e-commerce yang masih akan terus berkembang kedepannya. Hasil dari penelitian ini berupa rancangan sistem Kansei untuk melakukan pencarian produk pada katalog e-commerce berdasarkan emosi. Kesimpulan dari penelitian ini adalah dapat menyusun algorima pencarian produk terbaik berdasarkan emosi dan perancangan sistem Kansei dengan fungsi utama pencarian produk berdasarkan emosi. Berdasarkan hasil yang telah didapat, penelitian selanjutnya diharapkan dalam menggunakan suatu algoritma tertentu untuk meng-otomatisasi proses pengolahan knowledge base yang sangat dibutuhkan pada KES. LPPM Universitas Bina Sarana Informatika 2023-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1795 10.31294/coscience.v3i1.1795 Computer Science (CO-SCIENCE); Vol. 3 No. 1 (2023): Januari 2023; 24-32 2774-9711 2808-9065 10.31294/coscience.v3i1 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/1795/1150 Copyright (c) 2023 Euis Nurlaelasari, Eko Pramono https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1907 2023-07-28T17:03:00Z co-science:ART driver

Manajemen Keamanan Internet Menggunakan Metode Firewall Filtering Untuk Penyaringan Konten Pada Router Mikrotik RB1100 Sidik, Sidik Panjaitan, David Saputra Hasiholan Priatno, Priatno Nainggolan, Esron Rikardo security management internet access firewall filtering content filtering The existence of security threats and internet abuse is often a problem for companies. Use of a VPN for access to web pages that contain negative and pornographic content which usually contain malware, viruses, trojans and others. This of course will have a detrimental effect on companies whose internet networks are exposed to attacks by malware, viruses or trojans due to employees' habit of accessing web pages that contain negative and pornographic content. To prevent these threats, a method of regulating access and use of the internet network is needed according to its purpose. Content filtering is used to filter sites or web addresses that are not allowed by the company because they are considered to have no direct connection with their field of work. The firewall filtering content method in the Winbox application is one of the methods to achieve the goal of blocking negative and pornographic content that can be accessed by employees during working hours. This research was implemented at PT. Indonesian Mighty Beasts. The results of this study, after the content filtering firewall is implemented, employees cannot access web pages that contain negative and pornographic content and of course are not work related so that the implications for work are more productive, efficient and optimal. LPPM Universitas Bina Sarana Informatika 2023-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1907 10.31294/coscience.v3i2.1907 Computer Science (CO-SCIENCE); Vol. 3 No. 2 (2023): Juli 2023; 42-49 2774-9711 2808-9065 10.31294/coscience.v3i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1907/1251 Copyright (c) 2023 Sidik Sidik, David Saputra Hasiholan Panjaitan, Priatno Priatno, Esron Rikardo Nainggolan https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1917 2023-07-28T17:03:00Z co-science:ART driver

Analisis Sentimen Terhadap Aplikasi Canva Menggunakan Algoritma Naive Bayes Dan K-Nearest Neighbors Pratmanto, Dany Imaniawan, Fabriyan Fandi Dwi Sentiment analysis Canva KNN algorithm Naive Bayes algorithm The sentiment analysis used in the Canva application involves collecting user reviews or feedback. Then, a sentiment analysis algorithm is applied to classify the reviews as positive or negative. Sentiment analysis can help the company understand user opinions about the Canva application and how the application can meet user needs. The process of sentiment analysis in the Canva application involves collecting user reviews or feedback, which are then classified using a sentiment analysis algorithm. The research results show that the KNN algorithm has an accuracy rate of 83.92%, while Naive Bayes only has an accuracy rate of 77.41%. The KNN algorithm also has higher recall and precision values than Naive Bayes, namely 83.66% and 84.49%, respectively. In addition, the AUC value generated by the KNN algorithm is also higher than Naive Bayes, namely 95.00% compared to 94.50%. Therefore, it can be concluded that the KNN algorithm is more suitable for data classification in this research. This research can contribute to the development of the Canva application and improve the quality of service for its users. LPPM Universitas Bina Sarana Informatika 2023-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1917 10.31294/coscience.v3i2.1917 Computer Science (CO-SCIENCE); Vol. 3 No. 2 (2023): Juli 2023; 110-117 2774-9711 2808-9065 10.31294/coscience.v3i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1917/1323 Copyright (c) 2023 Dany Pratmanto, Fabriyan Fandi Dwi Imaniawan https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1918 2023-07-31T14:45:43Z co-science:ART driver

Rancang Bangun Sistem Informasi Akademik Berbasis Website Dengan Metode SDLC Erawati, Wati Heristian, Sujiliani Purnama, Rachmat Adi Design Complaint Information System Academic Waterfall Method Web-Based In the conditions of today's globalization, information technology is developing rapidly. School really need an academic information system that supports and makes it easy for staff and parents of student.This research is motivated by a lack of information about children’s learning development. And because parents of schoolchildren lack information about their children's learning, the result is that parents do not know the development of their child’s school learning. The purpose of this research is of course to provide benefits for staff, teacher and parents to make it easier to get information or the results of school development from students. The method that the author uses in developing this software is the SDLC (Software Development Life Cycle) waterfall model. Therefore, researchers try to help with problems that exist in schools such as the lack of updating of data or information contained in schools. By creating a computerized system, it is hoped that it can work to help teacher provide information to parents of students. A web-based system that contains student attendance list, student daily activity plans, and report cards which are the end result of student development at school.The author tested this academic information system by using a regression test. The test results show that this system meets the test success criteria, such as acccuracy and speed in processing data. A website-based academic information system using the SDLC method can help users manage academic data easily, quicly and accurately. The SDLC method used can help develop a good and correct system, and according to user needs. LPPM Universitas Bina Sarana Informatika 2023-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1918 10.31294/coscience.v3i2.1918 Computer Science (CO-SCIENCE); Vol. 3 No. 2 (2023): Juli 2023; 68-77 2774-9711 2808-9065 10.31294/coscience.v3i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1918/1307 Copyright (c) 2023 wati Erawati, Sujiliani Heristian, Rachmat Adi Purnama https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1931 2023-07-28T17:03:00Z co-science:ART driver

Prediksi Keberhasilan Pemasaran Layanan Jasa Perbankan Mengunnakan Algoritma Logistic Regreesion Dewi, Sari Al Kautsar, Hanggaro Aji Utami, Dwi Yuni Dewi, Sari Algoritma data mining Logistic regression Determining public interest in marketing banking services using data mining techniques. Prospect segmentation is one of the processes used in the marketing strategy of the banking industry. Data mining support plays an important role in classifying potential bank customers and evaluating the success of marketing their services. This is important to support the conclusion about the success rate of telemarketers in carrying out bank marketing tasks. a product whose way of working requires information about potential customers. This is a classification technique that is often used to classify prospects using logistic regression according to research maps supporting prospect data mining. Defining an accurate data mining classification algorithm to predict telemarketing success based on a 2010 experiment. In marketing banking service products, the results of the evaluation process of this algorithm are determined by cross-validation, Confusion Matrix, ROC curve and T-test. The logistic regression algorithm is more accurate with an accuracy of 92.32% and an AUC value of 0.962, so the algorithm used is included in the good classification group. LPPM Universitas Bina Sarana Informatika 2023-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1931 10.31294/coscience.v3i2.1931 Computer Science (CO-SCIENCE); Vol. 3 No. 2 (2023): Juli 2023; 118-125 2774-9711 2808-9065 10.31294/coscience.v3i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1931/1326 Copyright (c) 2023 Sari Dewi, Hanggaro Aji Al Kautsar, Dwi Yuni Utami https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1939 2023-07-28T17:03:00Z co-science:ART driver

Aplikasi Akuntansi Penerimaan Dan Pengeluaran Kas Pada PT Kinarya Gemilang Adhitama Menggunakan Model Waterfall Susilawati, Tika Hidayatulloh, Syarif application accounting Waterfall PT Kinarya Gemilang Adhitama manages cash receipts and disbursements using Microsoft Excel by recapitulating or calculating one by one transactions in the form of notes into financial reports. The cash management process tends to take a long time, and allows for a considerable risk of data redundancy and the quality of data and information to become inaccurate. Utilizing technology by building a cash receipts and disbursement application with the aim of developing and improving existing systems. By building a financial management application, it is hoped that it can help with the process of managing cash receipts and disbursements at PT Kinarya Gemilang Adhitama to become more efficient and effective. The software development method used in building the application is the SDLC method with the Waterfall model. The application is built with an automatic and unique cash number system so that it can reduce the risk of data redundancy. Furthermore, the application will be tested with Black Box which focuses on software in terms of logic and functionality which is carried out on the 4 main features of the application. The test results show valid results, which means that the application function is in accordance with the design. LPPM Universitas Bina Sarana Informatika 2023-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1939 10.31294/coscience.v3i2.1939 Computer Science (CO-SCIENCE); Vol. 3 No. 2 (2023): Juli 2023; 84-93 2774-9711 2808-9065 10.31294/coscience.v3i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1939/1309 Copyright (c) 2023 Tika Susilawati, Syarif Hidayatulloh https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1943 2023-07-31T14:48:07Z co-science:ART driver

Sistem Informasi Pendalaman Materi Berbasis Web Pada SMA Cengkareng 1 Menggunakan Model Waterfall Susafa'ati, Susafa'ati Hidayatun, Nunung Murtina, Hidayanti material deepening application waterfall method students Cengkareng 1 High school as an educational institution  providing senior secondary education in the city of West Jakarta. In every semester the school always conducts a study evaluation in the form of a written exam. The problem faced by the school is that the school wants to hold a deepening of the material for students to face the exam but is constrained by time, place, cost and teaching staff. From these problems, a system was created that could document the material, assignments and presentation of the questions as part of the implementation of deepening the material. Analysis and design by waterfall method. Research begins with conducting literature reviews, collecting data, analyzing systems and requirements, building system models using UML, designing application implementations, testing using black box testing, and maintaining system data. The results of this research are provided in the form of a web-based material immersion application. The application has the ability to provide materials, monitor student assignment uploads, and help students identify their limitations as they prepare for school and national exams. LPPM Universitas Bina Sarana Informatika 2023-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1943 10.31294/coscience.v3i2.1943 Computer Science (CO-SCIENCE); Vol. 3 No. 2 (2023): Juli 2023; 100-109 2774-9711 2808-9065 10.31294/coscience.v3i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1943/1322 Copyright (c) 2023 susafa'ati susafa'ati, Nunung Hidayatun, Hidayanti Murtina https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1963 2023-07-28T17:03:00Z co-science:ART driver

Sistem Informasi Pengaduan Perbaikan Jalan Desa (Program SIG) Berbasis Web Nur, Hidayat Muhammad Maarif, Vadlya API District Road Repair Complaint Information System webgis Several damaged roads in the Kebasen area during the rainy season are continuous work for the government. As an effort to assist this public service, it provides an opportunity for the public to submit complaints or complaints when public facilities have not met expectations. The following is an alternative to the procedure for submitting complaints or complaints for road repairs online which can help better communication. This study aims to build a GIS web-based road repair complaint information system. The system prototype was designed in stages with the development of the waterfall model system and the PHP programming language. In making this system the author uses the framework CodeIgniter (Ci) and Object Oriented Analysis and Design (OOAD). The interface for connecting several applications uses the Google Application Programming Interface (API) and MySQL database. The results of this study are expected to be the system of choice for conveying the aspirations of the people up to date in complaints about road repairs, environmental conditions, traffic conditions, public road management conditions, security conditions, street lighting conditions and presenting information optimally LPPM Universitas Bina Sarana Informatika 2023-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1963 10.31294/coscience.v3i2.1963 Computer Science (CO-SCIENCE); Vol. 3 No. 2 (2023): Juli 2023; 50-57 2774-9711 2808-9065 10.31294/coscience.v3i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1963/1290 Copyright (c) 2023 Hidayat Muhammad Nur, Vadlya Maarif https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1968 2023-07-31T14:44:10Z co-science:ART driver

Metode Design Thinking Pada Sistem Informasi Presensi Pegawai Kejaksaan Negeri Kota Bogor Alkhalifi, Yuris Rizal, Khairul Amir, Amir Zumarniansyah, Ainun Fadillah, Destia Sari Rahmadhani Employee Presence Design Thinking Method Information System Employee presence is an important factor for an agency or company to achieve goals, this is related to discipline and has an impact on the performance of each employee. But in reality, there are still several agencies that still use manual absences that have not been computerized, one of which is the Kejaksaan Negeri Kota Bogor's Office. The system used by the Kejaksaan Negeri Kota Bogor in the attendance process is still manual, namely using a daily attendance book which affects the efficiency and effectiveness of data collection, data search, and calculations and requires a relatively long time. Therefore, it is necessary to have special data collection to record attendance and absence so that work activities can be recorded in real-time and properly, one of which is by using a computerized system with Information Systems. The information system built on a website basis uses the CodeIgniter 3 framework and MySQL. The method used is the Design Thinking Method which has 5 stages. The output of this study is known to be tested with usability testing by user on the Learnability aspect of 75%, then on the efficiency aspect of 100% and the memorable aspect of 66.77%. The average result of the test is quite good at 80.56%. So by making this information system, it can facilitate the process of being on time, searching for data, calculating and summarizing timeliness and minimizing errors when recording presence data. LPPM Universitas Bina Sarana Informatika 2023-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1968 10.31294/coscience.v3i2.1968 Computer Science (CO-SCIENCE); Vol. 3 No. 2 (2023): Juli 2023; 58-67 2774-9711 2808-9065 10.31294/coscience.v3i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1968/1306 Copyright (c) 2023 Yuris Alkhalifi, Khairul Rizal, Amir Amir, Ainun Zumarniansyah, Destia Sari Rahmadhani Fadillah https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1984 2023-07-28T17:03:00Z co-science:ART driver

Komparasi Algoritma Machine Learning untuk Klasifikasi Gejala Coronavirus Disease 19 (Covid-19) Napiah, Musriatun Astuti, Rachmawati Darma Pratama, Eka Kusuma Corona Virus Desiase19, Klasifikasi, Decision Tree, dan SVM COVID-19 or Corona Virus Disease 19 is a member of the extended family of coronaviruses that cause a spectrum of illnesses from mild to severe, including MERS and SARS. While the cause of COVID-19 transmission has not been confirmed, it is believed that the virus is transmitted from animals to humans, causing various symptoms such as cough, runny nose, fever, sore throat and loss of smell. Research was conducted to classify COVID-19 symptoms into low, medium, and high categories in patients. This study aims to classify patient data and determine the risk of COVID-19 infection based on the severity of symptoms, namely mild, moderate, and high. Machine learning methods, including Decision Tree and SVM algorithms, are introduced and compared with K-Nearest Neighbor (K-NN), Neural Network (NN), Random Forest (RF), and Naive Bayes. The dataset used contains 127 patient records from kaggle.com. The test results showed that SVM achieved 54% accuracy, while Decision Tree achieved 98%. This research provides important insights into the risk assessment of COVID-19 infection based on symptom severity, and the use of machine learning techniques is expected to improve analysis and prediction capabilities in the face of the COVID-19 pandemic. LPPM Universitas Bina Sarana Informatika 2023-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1984 10.31294/coscience.v3i2.1984 Computer Science (CO-SCIENCE); Vol. 3 No. 2 (2023): Juli 2023; 78-83 2774-9711 2808-9065 10.31294/coscience.v3i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1984/1308 Copyright (c) 2023 Musriatun Napiah, Rachmawati Darma Astuti, Eka Kusuma Pratama https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1987 2023-07-28T17:03:00Z co-science:ART driver

Pendekatan Algoritma Klasifikasi Machine Learning untuk Deteksi Penyakit Demensia Iqbal, Muhammad Nawawi, Hendri Mahmud Rezki, Muhammad Hamid, Abdul Rahayu, Sri Machine Learning classification dementia Early detection of dementia through the use of machine learning classification algorithms is important for providing appropriate interventions to patients. In this context, this study aims to compare the performance of several machine learning classification algorithms in detecting dementia using the attribute selection method. In the early stages, patient data including medical history, cognitive test results, and other attributes were collected as input, an attribute selection algorithm was used to select the most informative attribute subset in detecting dementia. The subset of attributes used as input for training machine learning classification models, several classification algorithms such as Extra Trees (ET), Linear Discriminant Analysis (LDA), Random Forest (RF) and Ridge. In this study, accuracy is used as the main metric to compare algorithm performance. The evaluation results show that the Random Forest (RF) algorithm produces the best performance with an accuracy of 91.56%. The Extra Trees (ET) algorithm has an almost comparable accuracy of 91.44%, while Ridge and Linear Discriminant Analysis (LDA) have an accuracy of 90.44% respectively. In the context of dementia detection, the performance of the Random Forest algorithm with the attribute selection method proved to be the best with an accuracy of 91.56%. These results indicate that the developed model is capable of recognizing complex patterns and relationships between features that are relevant to dementia status. The use of the attribute selection method also contributes to increasing the accuracy and efficiency of the classification algorithm. LPPM Universitas Bina Sarana Informatika 2023-07-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1987 10.31294/coscience.v3i2.1987 Computer Science (CO-SCIENCE); Vol. 3 No. 2 (2023): Juli 2023; 94-99 2774-9711 2808-9065 10.31294/coscience.v3i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1987/1324 Copyright (c) 2023 Muhammad Iqbal, Hendri Mahmud Nawawi, Muhammad Rezki, Abdul Hamid, Sri Rahayu https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/1996 2025-08-01T04:48:25Z co-science:ART driver

Penerapan Teknik Random Oversampling Untuk Memprediksi Ketepatan Waktu Lulus Menggunakan Algoritma Random Forest Diantika, Sri Nalatissifa, Hiya Maulidah, Nurlaelatul Supriyadi, Riki Fauzi, Ahmad Prediksi, Ketepatan Waktu Lulus, Imbalanced, Random Oversamping, Random Forest Punctuality of graduation is something that students yearn for, besides being important for students, punctuality of graduation is also very important for universities, this is because the aspect of student graduation is one aspect of assessment in an institutional accreditation process of a university to show its quality. One of the obstacles faced to find out whether a student can graduate on time or not is because the study period cannot be detected early, this will have an impact on late student graduation. To analyze this, a lot of research was conducted on the accuracy of student graduation, through the cumulative grade point average (GPA) obtained by students during their studies. This research on the prediction of student graduation timeliness uses a random forest algorithm model. The data used in this research object has an unbalanced number of data classes, to overcome this, a random oversampling (ROS) resampling technique is applied and also applies Split validation or division between learning data by 50% for test data and 50%. To evaluate the model built, the author uses evaluation metrics such as accuracy, recall, and precision. The results of the study showed that the proposed model can well predict compared to other models, namely with the results precision of 87.05%, accuracy test values of 90.04%, recall of 90.04%.From these results, it can be interpreted that the random forest algorithm is considered good in predicting the timeliness of a student's graduation LPPM Universitas Bina Sarana Informatika 2024-01-05 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/1996 10.31294/coscience.v4i1.1996 Computer Science (CO-SCIENCE); Vol. 4 No. 1 (2024): Januari 2024; 11-18 2774-9711 2808-9065 10.31294/coscience.v4i1 id en https://jurnal.bsi.ac.id/index.php/co-science/article/view/1996/1488 Copyright (c) 2024 Sri Diantika, Hiya Nalatissifa, Nurlaelatul Maulidah, Riki Supriyadi, Ahmad Fauzi https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2032 2025-08-01T04:48:25Z co-science:ART driver

Perancangan Game Role-Playing sebagai Sarana Edukasi Sejarah Menggunakan Metode Game Development Life Cycle Hilmawan, Brian Nur Yuniati, Trihastuti edukasi game game development life cycle sejarah Sejarah sebagai suatu kejadian yang telah terjadi di masa lampau dapat menjadi sebuah pelajaran di masa yang akan datang bagi umat manusia. Ironisnya, generasi muda jaman sekarang lebih condong untuk mengadopsi budaya global. Kemajuan teknologi yang pesat membuat pengetahuan dalam lingkup teknologi lebih diminati, namun, bukan menjadi suatu alasan bagi calon generasi masa depan untuk melupakan pondasi tempat ibu pertiwi berdiri. Salah satu fenomena yang tidak asing di dengar adalah video game. Melihat hal ini, pengembangan video game yang juga akrab di adopsi pada tujuan yang lebih serius seperti edukasi, mendorong penelitian ini, yaitu untuk merancang suatu sistem game yang memiliki nilai edukasi yang dapat menghibur dan memberikan pengetahuan kepada penggunanya tentang pesan yang ingin diberikan. Penelitian dilakukan menggunakan Metode Game Development Life Cycle yang dimulai dari tahap inisiasi untuk membentuk mindmap melalui brainstorming pengembang, pra-produksi guna membentuk low-fidelity prototype dan Game Document Design, produksi tahap dimana scene dibentuk, pengujian versi alpha oleh pengembang, hingga pengujian beta oleh pengguna potensial. Penelitian telah menghasilkan game “Keraton: Maja” yang berhasil dijalankan tanpa defect atau bug. Hasil pengujian kuesioner likert oleh beta tester mendapatkan rata-rata total nilai elemen sebesar 4,1 sehingga dapat disimpulkan bahwa sistem game dapat diterima dengan baik. LPPM Universitas Bina Sarana Informatika 2024-01-05 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2032 10.31294/coscience.v4i1.2032 Computer Science (CO-SCIENCE); Vol. 4 No. 1 (2024): Januari 2024; 1-10 2774-9711 2808-9065 10.31294/coscience.v4i1 id en https://jurnal.bsi.ac.id/index.php/co-science/article/view/2032/1486 Copyright (c) 2024 Brian Nur Hilmawan, Trihastuti Yuniati https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2372 2025-08-01T04:46:54Z co-science:ART driver

Peningkatan Jaringan Komunikasi Tertutup Berbasis Seluler Dengan Agregasi Multi Link : Studi Kasus PT. Solusi Media Semesta iman, Fadlul Iman, Fadlul Saputra, Elin Panca Kusumo, Aryo Tunjung Sismadi, Sismadi Peningkatan, Seluler, Multi Link Upgrade Mobile Multi Link The increasing need for cellular-based closed communication networks in corporate environments has increasingly become a major focus for many organizations, including PT. Universal Media Solutions Jakarta. In the face of increasingly complex communication challenges and increasing data demands, the company is working to improve the efficiency and performance of its communications network. This study aims to investigate the potential of using multi-link aggregation as a solution to improve cellular communication networks at PT. Universal Media Solutions Jakarta. The multi-link aggregation method allows combining multiple communication lines to achieve increased network speed, availability, and consistency. The study will involve analyzing and testing various scenarios using multi-link aggregation technology in the company's cellular-based closed network environment. Network performance measurement will be carried out to radiate the effectiveness of the implemented solutions. In addition, technical and financial factors will also be considered to ensure the feasibility and efficiency of the proposed solution. The results of this study are expected to provide valuable insights for PT. Solusi Media Semesta Jakarta and other organizations in optimizing their closed communication network using multi-link aggregation technology. Thus, companies can increase productivity, reduce downtime, and improve service quality for their customers and internal users. Peningkatan kebutuhan akan jaringan komunikasi tertutup berbasis seluler di lingkungan perusahaan semakin menjadi fokus utama bagi banyak organisasi, termasuk PT. Solusi Media Semesta Jakarta. Dalam menghadapi tantangan komunikasi yang semakin kompleks dan meningkatnya permintaan data, perusahaan ini berupaya untuk meningkatkan efisiensi dan kinerja jaringan komunikasinya. Penelitian ini bertujuan untuk menyelidiki potensi penggunaan agregasi multi-link sebagai solusi untuk meningkatkan jaringan komunikasi seluler di PT. Solusi Media Semesta Jakarta. Metode agregasi multi-link memungkinkan penggabungan beberapa jalur komunikasi untuk mencapai peningkatan kecepatan, ketersediaan, dan keandalan jaringan. Studi ini akan melibatkan analisis dan pengujian berbagai skenario menggunakan teknologi agregasi multi-link dalam lingkungan jaringan tertutup berbasis seluler milik perusahaan. Pengukuran performa jaringan akan dilakukan untuk mengevaluasi efektivitas dari solusi yang diimplementasikan. Selain itu, faktor-faktor teknis dan keuangan juga akan dipertimbangkan untuk memastikan kelayakan dan efisiensi dari solusi yang diusulkan. Hasil penelitian ini diharapkan dapat memberikan wawasan yang berharga bagi PT. Solusi Media Semesta Jakarta dan organisasi lainnya dalam mengoptimalkan jaringan komunikasi tertutup mereka dengan menggunakan teknologi agregasi multi-link. Dengan demikian, perusahaan dapat meningkatkan produktivitas, mengurangi downtime, dan meningkatkan kualitas layanan bagi pelanggan dan pengguna internal mereka. LPPM Universitas Bina Sarana Informatika 2024-07-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2372 10.31294/coscience.v4i2.2372 Computer Science (CO-SCIENCE); Vol. 4 No. 2 (2024): Juli 2024; 89-98 2774-9711 2808-9065 10.31294/coscience.v4i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/2372/1671 Copyright (c) 2024 The Author(s) https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2389 2025-08-01T04:48:25Z co-science:ART driver

Performance Measurement of Classification Model with Data Oversampling in Supervised Learning Algorithms for Heart Disease Pengukuran Kinerja Model Klasifikasi dengan Data Oversampling pada Algoritma Supervised Learning untuk Penyakit Jantung Masruriyah, Anis Masruriyah, Anis Novita, Hilda Sukmawati, Cici Ramadhan, Angga Arif, Siti Dermawan, Budi ADASYN Klasifikasi Penyakit Jantung SMOTE Supervised Learning ADASYN Classificcation Heart Disease SMOTE Supervised Learning Heart disease remains a leading cause of death in Indonesia and worldwide. In the realm of data mining, class imbalance between heart disease and normal samples within datasets presents a significant challenge. This disparity can lead to model bias toward the majority class, resulting in suboptimal performance in identifying instances of heart disease. This study addresses this issue by implementing oversampling techniques, particularly Synthetic Minority Over-sampling Technique (SMOTE) and Adaptive Synthetic Sampling (ADASYN). The findings reveal that models without oversampling achieve accuracy and precision exceeding 80%, but exhibit poor class separation performance. In contrast, models employing oversampling, despite experiencing reductions in accuracy and precision, enhance their ability to distinguish between heart disease and normal classes. The top-performing model utilizing the Random forest algorithm with SMOTE attains an AUC value of 0.868, signifying a significant improvement in class separation. These discoveries provide essential guidance for the development of more effective and accurate heart disease classification models. The utilization of oversampling techniques, such as SMOTE, proves to be an effective strategy for mitigating class imbalances in heart disease data mining. While accuracy and precision may decrease, the model's capability to identify heart disease becomes more reliable, with notable outcomes assessed using AUC. This research contributes significantly to enhancing efforts in heart disease prevention and treatment through sophisticated and sustainable data mining techniques.   Penyakit jantung tetap menjadi penyebab utama kematian di Indonesia dan dunia. Dalam data mining, ketidakseimbangan kelas antara sampel penyakit jantung dan normal dalam dataset adalah masalah serius. Hal ini dapat mengarah pada bias model ke arah kelas mayoritas, mengakibatkan kinerja buruk dalam mengidentifikasi kasus penyakit jantung yang lebih sedikit. Penelitian ini mengatasi masalah ini dengan menerapkan teknik oversampling, khususnya Synthetic Minority Over-sampling Technique (SMOTE) dan Adaptive Synthetic Sampling (ADASYN). Hasilnya menunjukkan bahwa model tanpa oversampling mencapai akurasi dan presisi di atas 80%, namun memiliki kinerja yang buruk dalam memisahkan kelas. Model yang memanfaatkan oversampling, meskipun dengan penurunan akurasi dan presisi, berhasil meningkatkan kemampuan dalam membedakan kelas penyakit jantung dan normal. Model terbaik menggunakan algoritma Random forest dengan SMOTE mencapai nilai AUC sebesar 0.868, menandakan peningkatan yang signifikan dalam pemisahan kelas. Temuan ini memberikan panduan penting bagi pengembangan model klasifikasi penyakit jantung yang lebih efektif dan akurat. Penggunaan teknik oversampling, seperti SMOTE, terbukti menjadi strategi yang efektif untuk mengatasi ketidakseimbangan kelas dalam data mining penyakit jantung. Meskipun akurasi dan presisi dapat mengalami penurunan, kemampuan model dalam mengidentifikasi penyakit jantung menjadi lebih andal, dengan hasil yang diukur menggunakan AUC yang signifikan. Penelitian ini berkontribusi pada upaya meningkatkan pencegahan dan pengobatan penyakit jantung melalui teknik data mining yang canggih dan berkelanjutan. LPPM Universitas Bina Sarana Informatika 2024-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2389 10.31294/coscience.v4i1.2389 Computer Science (CO-SCIENCE); Vol. 4 No. 1 (2024): Januari 2024; 62-70 2774-9711 2808-9065 10.31294/coscience.v4i1 id https://jurnal.bsi.ac.id/index.php/co-science/article/view/2389/1524 Copyright (c) 2024 Anis Fitri Nur Masruriyah, Hilda Yulia Novita, Cici Emilia Sukmawati, Angga Ramda Ramadhan, Siti Novianti Nuraini Arif, Budi Arif Dermawan https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2427 2025-08-01T04:48:25Z co-science:ART driver

Analisa Peformasi Metode Rendering Website: Client Side, Server Side, dan Incremental Static Regeneration Analisa Performasi Metode Client Side Rendering, Server Side Rendering, dan Incremental Static Regeneration dalam Proses Website Rendering Ardiyanto, Roni Ardiyanto, Roni Ardhianto, Eka Website Rendering Analisis Website Rendering Analysis Website telah menjadi bagian penting dari kegiatan bisnis, pendidikan, hiburan, maupun media sosial. Optimalisasi website menjadi penting saat proses pembuatannya. Hal ini disebabakan supaya pengguna website merasa nyaman. Akses website yang cepat dan ringan menjadi salah satu daya tarik pengguna. Metode pembuatan website pada bagian Front-End diklasifikasikan menjadi 3 macam, yaitu: metode render CSR (Client Side Rendering), metode render SSR (Server Side Rendering), dan metode render ISR (Incremental Static Regeneration). Penelitian ini menggunakan aplikasi website dengan framework Next.js sebagai website untuk pengujian. Dibuat dalam website satu halaman berisi list daftar berita dari API CNNIndonesia.com. Tujuan penelitian ini untuk mencari metode mana yang optimal digunakan dalam pengembangan website. Sebagai metrik performansi digunakan kecepatan dan ukuran website. Hasil yang diperoleh adalah bahwa metode ISR sangat cocok digunakan dalam pengembangan web frontend karena lebih ringan dan lebih cepat diakses dibanding metode SSR dan CSR. Dengan rekomendasi untuk pembuatan website, jika menginginkan kecepatan berarti dapat menggunakan metode ISR untuk peramban crome jika menggunakan mozilla SSR. Jika menginginkan generate yang ringan maka menggunakan metode ISR untuk mozilla dan ISR untuk chrome. Website telah menjadi bagian penting dari kegiatan bisnis, pendidikan, hiburan, maupun media sosial. Optimalisasi website menjadi penting saat proses pembuatannya. Hal ini disebabakan supaya pengguna website merasa nyaman. Akses website yang cepat dan ringan menjadi salah satu daya tarik pengguna. Metode pembuatan website pada bagian frontend diklasifikasikan menjadi 3 macam, yaitu: metode CSR (Client Side Rendering), metode SSR (Server Side Rendering), dan metode ISR (Incremental Static Regeneration). Tujuan penilitian ini untuk mencari metode mana yang optimal digunakan dalam pengembangan website. Sebagai metrik performansi digunakan kecepatan dan ukuran website. Hasil yang diperoleh berupa perbandingan ukuran website dan waktu akses website. LPPM Universitas Bina Sarana Informatika 2024-01-06 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2427 10.31294/coscience.v4i1.2427 Computer Science (CO-SCIENCE); Vol. 4 No. 1 (2024): Januari 2024; 19-27 2774-9711 2808-9065 10.31294/coscience.v4i1 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/2427/1538 Copyright (c) 2024 Roni Ardiyanto, Eka Ardhianto https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2921 2025-08-01T04:48:25Z co-science:ART driver

Analisis Sentimen Pemanfaatan Artificial Intelligence di Dunia Pendidikan Menggunakan SVM Berbasis Particle Swarm Optimization Analisis Sentimen Pemanfaatan Artificial Intelligence di Dunia Pendidikan Menggunakan SVM Berbasis Particle Swarm Optimization Saepudin, Atang Saepudin, Atang Aryanti, Riska Fitriani, Eka Royadi, Royadi Ardiansyah, Dian Analisis Sentimen Kecerdasan Buatan Sosial Media Support Vector Machine PSO Sentiment Analysis Artificial Intelligence Media Social Support Vector Machine PSO The utilization of Artificial Intelligence (AI) in the field of education in Indonesia has witnessed significant developments in recent years. The advancements in AI technology have opened up new opportunities to enhance the quality of education, and address various challenges faced by the Indonesian education system. This has naturally sparked diverse opinions and comments from the public, particularly on the social media platform X/Twitter. This research focuses on sentiment analysis of reviews expressed on the X/Twitter social media platform. The primary goal of this study is to develop an effective sentiment analysis method by leveraging the Support Vector Machine (SVM) algorithm optimized with Particle Swarm Optimization (PSO) for feature selection. In this research, user reviews from X/Twitter were collected and analyzed to identify positive or negative sentiments within the context of each comment. The SVM algorithm was used to classify sentiments based on similarity to comments with known sentiments. Feature Selection PSO was employed to optimize the parameters within SVM to enhance sentiment analysis accuracy. The results of sentiment analysis on comments or tweets on the X/Twitter social media platform using both SVM and PSO-based SVM algorithms indicated that the PSO-based SVM algorithm achieved a higher accuracy. The SVM algorithm with feature selection PSO produced accuracy 89.50%, precision 86.98%, recall 93.00%, and AUC 0.964. Meanwhile, the SVM algorithm had accuracy 87.50%, precision 85.46%, recall 90.50%, and AUC 0.956. This demonstrates that the use of feature selection PSO in the SVM algorithm is capable of improving the accuracy of the results. Pemanfaatan kecerdasan buatan (Artificial Intelligence/AI) dalam dunia pendidikan di Indonesia telah mengalami perkembangan yang signifikan dalam beberapa tahun terakhir. Kemajuan teknologi AI telah membuka peluang baru dalam meningkatkan kualitas pendidikan dan mengatasi berbagai tantangan yang dihadapi oleh sistem pendidikan di Indonesia. Hal tersebut tentunya memunculkan opini/ komentar yang beragam dari masyarakat khususnya pengguna media sosial X/Twitter. Penelitian ini fokus pada analisis sentimen review yang diungkapkan pada media sosial X/Twitter. Tujuan utama penelitian ini adalah untuk mengembangkan metode analisis sentimen yang efektif dengan memanfaatkan algoritma SVM (Support Vector Machine) yang dioptimalkan dengan Feature Selection PSO (Particle Swarm Optimization). Dalam penelitian ini, data review dari pengguna X/Twitter dikumpulkan dan dianalisis untuk mengidentifikasi sentimen positif atau negatif dalam konteks setiap komentar. Algoritma SVM digunakan untuk mengklasifikasikan sentimen berdasarkan kemiripan dengan komentar-komentar yang telah diketahui sentimennya. Feature Selection PSO digunakan untuk mengoptimalkan parameter-parameter dalam SVM yang bertujuan untuk meningkatkan akurasi analisis sentimen. Hasil pengujian dalam analisis sentimen terhadap komentar-komentar atau tweet pada media sosial X/Twitter menggunakan algoritma SVM dan SVM berbasis PSO menunjukan bahwa algoritma SVM berbasis PSO memiliki nilai akurasi yang lebih baik. Algoritma SVM dengan feature selection PSO menghasilkan nilai accuracy = 89.50%, precision = 86.98%, recall = 93.00% dan AUC = 0.964. Sedangkan algoritma SVM mimiliki nilai accuracy = 87.50%, precision = 85.46%, recall = 90.50% dan AUC = 0.956. Hal ini menunjukan bahwa penggunaan feature selection PSO pada algoritma SVM ternyata mampu meningkatkan nilai akurasi yang dihasilkan. LPPM Universitas Bina Sarana Informatika 2024-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2921 10.31294/coscience.v4i1.2921 Computer Science (CO-SCIENCE); Vol. 4 No. 1 (2024): Januari 2024; 71-79 2774-9711 2808-9065 10.31294/coscience.v4i1 id https://jurnal.bsi.ac.id/index.php/co-science/article/view/2921/1522 Copyright (c) 2024 Atang Saepudin, Riska Aryanti, Eka Fitriani, Royadi Royadi, Dian Ardiansyah https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2955 2025-08-01T04:48:25Z co-science:ART driver

Analisis Sentimen Ulasan Aplikasi Identitas Kependudukan Digital Pada Play Store Menggunakan Metode Naïve Bayes Analisis Sentimen Ulasan Aplikasi Identitas Kependudukan Digital Pada Play Store Menggunakan Metode Naïve Bayes Komarudin, Ahmad Komarudin, Ahmad Hilda, Atiqah Meutia Identitas Kependudukan Digital Analisis sentimen Naïve bayes identitas kependudukan digital analisis sentimen Naive Bayes Salah satu inovasi baru pemerintah yaitu diadakannya Identitas Kependudukan Digital yang mana hal ini untuk membawa transformasi dalam cara masyarakat membuktikan identitasnya sendiri, membuatnya lebih mudah, aman, dan efisien dalam berbagai konteks kehidupan sehari-hari. Diketahui pada 20 Oktober 2023 aplikasi Identitas Kependudukan Digital hanya memperoleh 3,3 bintang dari 32,7 ribu ulasan. Penelitian ini bertujuan untuk medapatkan sebuah data sentimen dari aplikasi Identitas Kependudukan Digital pada Play Store berupa ulasan-ulasan dari pengguna. Pengambilan data dilakukan menggunakan metode scrapping melalui Google Colab yang hasilnya akan dilabeli negatif dan positif. Kemudian data akan dibersihkan dan disederhanakan melalui preprocessing, dan akan di klasifikasikan dengan algoritma Naïve Bayes.  Hasil klasifikasi selanjutnya dilakukan perhitungan performance dengan confusion matrix dan memperoleh nilai accuracy sebesar 82.23%, precission sebesar 76.08%, dan recall sebesar 94.02%. One of the government's new innovations is the implementation of Digital Population Identity which is to bring transformation in the way people prove their own identity, making it easier, safer, and more efficient in various contexts of everyday life. It is known that on October 20, 2023 the Digital Population Identity application only received 3.3 stars from 32.7 thousand reviews, this shows that the application still has not reached the maximum level of satisfaction in serving the needs of the community. Therefore, sentiment analysis of user reviews is needed to gain deeper insight into how people respond to this application, so this research aims to obtain sentiment data from the Digital Population Identity application on the Play Store in the form of reviews from users and the results of the analysis can be used as evaluation material for application developers. Data collection is done using the scrapping method through Google Colab as many as 1000 reviews whose results will be labeled negative and positive. Then the data will be cleaned and simplified through preprocessing, and will be classified with the Naïve Bayes algorithm with 90% test data and 10% training data for each iteration. The classification results are then calculated performance with confusion matrix and obtained an accuracy value of 82.23%, precission of 76.08%, and recall of 94.02%. LPPM Universitas Bina Sarana Informatika 2024-01-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2955 10.31294/coscience.v4i1.2955 Computer Science (CO-SCIENCE); Vol. 4 No. 1 (2024): Januari 2024; 28-36 2774-9711 2808-9065 10.31294/coscience.v4i1 id https://jurnal.bsi.ac.id/index.php/co-science/article/view/2955/1496 Copyright (c) 2024 Ahmad Komarudin, Atiqah Meutia Hilda https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2963 2025-08-01T04:48:25Z co-science:ART driver

Optimasi Algoritma Naïve Bayes Berbasis Particle Swarm Optimization Untuk Klasifikasi Status Stunting Optimasi Algoritma Naïve Bayes Berbasis Particle Swarm Optimization Untuk Klasifikasi Status Stunting Pahlevi, Omar Pahlevi, Omar Amrin, Amrin Handrianto, Yopi Klasifikasi, Naïve Bayes, Particle Swarm Optimization, Status Stunting Classification Naïve Bayes Particle Swarm Optimization Stunting Status Every parent wants their children to grow up healthy. Eating a healthy diet can minimize stunting. Long-term nutritional deficiencies can lead to stunting, a chronic nutritional problem that impairs physical growth and development, including low body weight and height. Preventive action against stunting is a fundamental activity that must be done immediately in the form of counseling and taking further medical action.  In data mining there are several methods for extracting information including classification. There are various methods for extracting information using data mining, such as classification. In this research, researchers will apply Naïve Bayes with Particle Swarm Optimization (PSO) for the classification of stunting status in order to determine whether a child has a case of stunting or not based on gender, age, birth weight, body weight, body length, and breastfeeding. In the final results of the research, it is known that the accuracy of the truth obtained through the performance of the Naïve Bayes algorithm model is 80.69% and a score of 0.801 resulting from Area Under the Curva (AUC). Then based on the calculation results with the Naïve Bayes algorithm model with Particle Swarm Optimization, it can be obtained a truth accuracy rate of 83.06% with an Area Under the Curve (AUC) value of 0.801. Based on the final value obtained, the pattern of applying Particle Swarm Optimization to the Naïve Bayes algorithm can improve the performance of the classification method used in this research activity. Setiap orangtua menginginkan buah hatinya tumbuh dengan sehat. Pola makan dengan mengkonsumsi makanan yang sehat dapat meminimalisir stunting. Kekurangan nutrisi dalam jangka panjang dapat menyebabkan stunting, yaitu masalah gizi kronis yang mengganggu pertumbuhan dan perkembangan fisik, termasuk berat badan dan tinggi badan yang rendah. Pengaruhnya terhadap pertumbuhan dan perkembangan tubuh, seperti penurunan berat badan dan tinggi badan. Ada berbagai metode untuk mengekstraksi informasi menggunakan penggalian data, seperti klasifikasi. Dalam penelitian ini, peneliti akan menerapkan Naïve Bayes dengan Particle Swarm Optimization (PSO) untuk Klasifikasi Status Stunting. Berdasarkan penelitian diketahui bahwa performa model Naïve Bayes untuk klasifikasi status stunting memberikan tingkat akurasi kebenaran sebesar 80,69% dengan nilai Area Under the Curva (AUC) sebesar 0,801. Sedangkan performa model Naïve Bayes dengan Particle Swarm Optimization memberikan tingkat akurasi kebenaran sebesar 83,06% dengan nilai Area Under the Curve (AUC) sebesar 0,801. Hal ini membuktikan bahwa optimasi Particle Swarm Optimization dapat meningkatkan kinerja metode klasifikasi yang digunakan. LPPM Universitas Bina Sarana Informatika 2024-01-23 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2963 10.31294/coscience.v4i1.2963 Computer Science (CO-SCIENCE); Vol. 4 No. 1 (2024): Januari 2024; 37-43 2774-9711 2808-9065 10.31294/coscience.v4i1 id https://jurnal.bsi.ac.id/index.php/co-science/article/view/2963/1513 Copyright (c) 2024 Omar Pahlevi, Amrin Amrin, Yopi Handrianto https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2965 2025-08-01T04:48:25Z co-science:ART driver

Pengembangan Aplikasi Manajemen Litabmas Pendanaan Mandiri dengan Pendekatan Hierarchical Model-View-Controller (HMVC) Pengembangan Aplikasi Manajemen Litabmas Pendanaan Mandiri dengan Pendekatan Hierarchical Model-View-Controller (HMVC) Wahyuni, Eka Dyar Wahyuni, Eka Dyar Afandi, Mohamad Irwan Putra, Agung Brastama penelitian dan pengabdian masyarakat HMVC CI application development litabmas management application HMVC CI In higher education, overseeing the execution of litabmas activities is a challenging and error-prone task, particularly when done manually through the physical submission of documents. Information is not always readily available, archives are frequently lost or even damaged, and tracing Litabmas external responsibility (articles, journals, patents/IPRs, etc.) from earlier periods can be challenging. This article describes how the Waterfall approach was used to construct the Litabmas management application. The Hierarchical Model-View-Controller (HMVC) technique is used to build the code architecture during the coding process. By reducing intermodular dependencies, this method makes it easier for a team to design an application. This application was developed to facilitate the management of the full cycle of Litabmas activity implementation for users, from generating Litabmas master data to initiating the Litabmas period, submitting proposals, conducting evaluations, and reporting Litabmas outputs and outcomes. The application has been tested using the black box method, and as a result, 23 use cases from six levels of users —administrator, head of institutional research, researcher, reviewer, auditor, and general visitor access rights —have been generated. All of these usecase have 100% of the expected output produced by the application. Pengelolaan pelaksanaan kegiatan litabmas di suatu perguruan tinggi merupakan suatu kegiatan yang cukup kompleks dan rentan menghadapi permasalahan, apalagi jika dikelola secara tradisional. Arsip sering hilang atau bahkan rusak, kesulitan dalam melacak tanggungan luaran litabmas (artikel, jurnakl, paten/hki dll) periode sebelumnya hingga kesulitan menyediakan informasi dengan cepat. Artikel ini membahas pengembangan aplikasi manajemen litabmas pendanaan mandiri dengan pendekatan Hierarchical Model-View-Controller (HMVC). Pendekatan ini meminimalkan ketergantungan antar modul sehingga memudahkan pengembangan aplikasi secara tim. Aplikasi ini dirancang untuk memberikan solusi dalam mengelola seluruh siklus pelaksanaan kegiatan litabmas, mulai dari perencanaan proposal, evaluasi, hingga pelaporan hasil dan luaran litabmas. Aplikasi diuji dengan metode blackbox, dan menghasilkan 23 usecase yang sudah 100% memberikan output sesuai yang diharapkan. LPPM Universitas Bina Sarana Informatika 2024-01-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2965 10.31294/coscience.v4i1.2965 Computer Science (CO-SCIENCE); Vol. 4 No. 1 (2024): Januari 2024; 53-61 2774-9711 2808-9065 10.31294/coscience.v4i1 id https://jurnal.bsi.ac.id/index.php/co-science/article/view/2965/1519 Copyright (c) 2024 Eka Dyar Wahyuni, Mohamad Irwan Afandi, Agung Brastama Putra https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2978 2025-08-01T04:48:25Z co-science:ART driver

Metode Vulnerability Assesment Dalam Pengujian Kinerja Sistem Keamanan Website Points of Sales Metode Vulnerability Assesment Dalam Pengujian Kinerja Sistem Keamanan Website Points of Sales Wahyudin, Wahyudin Wahyudin, Wahyudin Kuswara, Heri Resti, Resti Dalis, Sopiyan Keamanan jaringan, Vulnerability Assesment, Website Website Security Vulnerability Assesment Website The development of electronic commerce through point of sales based websites is closely related to the growth rate of the internet, because electronic commerce runs through networks and Internet connections. However, the more point of sale based websites that are built, the greater the possibility of cyber attacks that could harm the website. Therefore, website security is very important to pay attention to. One method that can be used to maintain website security is to carry out a Vulnerability Assessment. Vulnerability Assessment is a process of searching for security gaps in an information system or computer network with the aim of identifying potential security vulnerabilities and taking preventative steps before an attack occurs. The vulnerability assessment technique used is using a weakness scanner application to identify security gaps in systems and applications such as Nikto, Nmap, Zenmap and Owasp ZAP. Based on testing with the Owasp ZAP tool, the results of scanning carried out on the sakupos.com website, which is a points of sales based website, show that there is a vulnerability on the website. The test results show the Level of Vulnerability (Risk Assessment) as well as recommended solutions that can be used to prevent it. There were 10 vulnerabilities detected, 7 vulnerabilities were found with a Medium risk level, 2 vulnerabilities with a Low risk level, and 1 other vulnerabilities at the Informational risk level. Perkembangan perdagangan elektronik melalui website berbasis point of sales terkait erat dengan tingkat pertumbuhan internet, karena perdagangan elektronik berjalan melalui jaringan dan koneksi Internet. Namun, semakin banyaknya website berbasis point of sale yang dibangun, semakin besar pula kemungkinan terjadinya serangan cyber yang dapat merugikan website tersebut. Oleh karena itu, keamanan website menjadi sangat penting untuk diperhatikan. Salah satu metode yang dapat dilakukan untuk menjaga keamanan website adalah dengan melakukan Vulnerability Assessment. Vulnerability Assessment adalah sebuah proses pencarian celah keamanan pada sistem informasi atau jaringan computer dengan tujuan untuk mengidentifikasi potensi kerentanan keamanan dan mengambil langkah pencegahan sebelum serangan terjadi. Berdasarkan pengujian dengan tool Owasp ZAP, hasil dari scanning yang telah dilakukan pada website sakupos.com yang merupakan website berbasis points of sales bahwa terdapat kerentanan pada website tersebut. Hasil pengujian menunjukkan Level Kerentanan (Risk Assessment) serta Rekomendasi solusi yang bisa digunakan untuk mencegahnya. Terdapat ada 10 kerentanan yang terdeteksi, ditemukan 7 kerentanan dengan level/tingkat resiko Medium, 2 kerentanan dengan tingkat resiko Low, Serta 2 kerentanan lainnya di tingkat resiko Informational. LPPM Universitas Bina Sarana Informatika 2024-01-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2978 10.31294/coscience.v4i1.2978 Computer Science (CO-SCIENCE); Vol. 4 No. 1 (2024): Januari 2024; 44-52 2774-9711 2808-9065 10.31294/coscience.v4i1 id https://jurnal.bsi.ac.id/index.php/co-science/article/view/2978/1518 Copyright (c) 2024 wahyudin wahyudin; Heri Kuswara; Resti Resti, Sopiyan Dalis https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2987 2025-08-01T04:46:54Z co-science:ART driver

Rekomendasi Pemilihan Jenis Tanaman Menggunakan Algoritma Random Forest dan XGBoost Regressor Rekomendasi Pemilihan Jenis Tanaman Menggunakan Algoritma Random Forest dan XGBoost Regressor Rahman, Abdul Rahman, Abdul Udjulawa, Daniel Mulyati, Mulyati Kata Kunci : Rekomendasi Tanaman, Machine Learning, Random Forest, XGBoost Machine Learning Random Forest Crop Recommendation XGBoost Recommendations for plants that suit a particular planting location's environmental conditions and soil nutrients can lead to optimal harvest outcomes. Machine learning applications in agriculture have been widely explored, particularly in enhancing crop yields. In this study, two machine learning algorithms, Random Forest and XGBoost Regressor, were implemented to recommend plants based on environmental conditions and soil nutrient levels. The implementation of both algorithms was compared in terms of accuracy using three accuracy metrics: Mean Absolute Error (MAE), Mean Square Error (MSE), and R2. The results indicated that both algorithms exhibited comparable accuracy levels. The Random Forest algorithm demonstrated superior accuracy in terms of MAE and MSE, with values of 36.73681574 and 1.848396760, respectively. Meanwhile, the XGBoost Regressor algorithm displayed good accuracy, mainly when measured using the R2 accuracy metric, achieving a high accuracy level of 0.98542963509705..   Keywords : Crop Recommendation, Machine Learning, Random Forest, XGBoost   Rekomendasi tanaman yang sesuai dengan kondisi lingkungan dan nutrisi tanah tempat tanaman ditanam dapat memberikan hasil panen yang optimal. Penerapan machine learning pada bidang pertanian telah banyak dilakukan terutama untuk meningkatkan hasil panen. Pada penelitian ini dua algoritma machine learning, yaitu Random forest dan XGBoost Regressor di implementasikan untuk merekomendasikan tanaman yang sesuai dengan kondisi linkungan dan nutrisi tanah. Umplementasi dari kedua algoritma tersebut  dibandingkan tingkat akurasi menggunakan tiga alat ukur akurasi, yaitu Mean Absolute Error(MAE), Mean Square Error(MSE), dan R2. Hasil yang didapat menunjukkan kedua algoritma mempunyai tingkat akurasi yang tidak jauh berbeda. Algoritma random Forest mempunyai tingkat akurasi yang lebih baik menggunakan MAE dan MSE, yaitu sebesar 36.73681574 dan  1.848396760, sedangkan algoritma XGBoost Regressor mempunyai tingkat akurasi yang baik dengan menggunakan alat ukur akurasi R2 atau R-Square dengan tingkat akurasi sebesar 0.98542963509705. LPPM Universitas Bina Sarana Informatika 2024-07-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2987 10.31294/coscience.v4i2.2987 Computer Science (CO-SCIENCE); Vol. 4 No. 2 (2024): Juli 2024; 119-126 2774-9711 2808-9065 10.31294/coscience.v4i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/2987/1686 Copyright (c) 2024 The Author(s) https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2990 2025-08-01T04:48:25Z co-science:ART driver

Penerapan Metode SMOTE Untuk Mengatasi Imbalanced Data Pada Klasifikasi Ujaran Kebencian: Penerapan Metode SMOTE Untuk Mengatasi Imbalanced Data Pada Klasifikasi Ujaran Kebencian Penerapan: Penerapan Metode SMOTE Untuk Mengatasi Imbalanced Data Pada Klasifikasi Ujaran Kebencian Ridwan, Ridwan Heni Hermaliani, Eni Ernawati, Muji SMOTE, Oversampling, Data Imbalanced, Ujaran Kebencian Imbalanced Data Oversampling SMOTE Hate Speechs Hate speech is the spread of hatred towards individuals or groups on the basis of ethnicity, religion, race, and other characteristics that can lead to discrimination, violence, and social conflict. Unbalanced data can cause negative results in classification results. The Synthetic Minority Oversampling Technique (SMOTE) method is used to deal with unbalanced data. Feature extraction uses Bag of Words and TD-IDF, then the training data are oversampled using the SMOTE, SVM-SMOTE, Kmeans-SMOTE, and Borderline-SMOTE methods. This classification uses the Random Forest, Support Vector Machine, Logistic Regression, and Naive Bayes algorithms using Twitter data. The research results show that the application of the Borderline-SMOTE method to handle imbalanced data produces better performance than other SMOTE methods based on accuracy, recall,precision and F1-Score values with respective values of 84.09%, 85.25%, 84,55% and 81.16%. The Random Forest algorithm produces higher performance values than other algorithms. Ujaran kebencian adalah penyebaran kebencian terhadap individu atau kelompok atas dasar suku, agama, ras, dan karakteristik lain yang dapat menimbulkan diskriminasi, kekerasan, dan konflik sosial. Data yang tidak seimbang dapat menyebabkan hasil negatif pada hasil klasifikasi. Metode Synthetic Minority Oversampling Technique (SMOTE) digunakan untuk mengatasi data yang tidak seimbang. Ekstraksi fitur menggunakan Bag of Words dan TD-IDF, kemudian data training dilakukan oversampling menggunakan metode SMOTE, SVMSMOTE, KMeansSMOTE, dan BorderlineSMOTE. Klasifikasi tersebut menggunakan algoritma Random Forest, Support Vector Machine, Logistic Regression dan Naive Bayes. Hasil penelitian menunjukkan bahwa penerapan metode BorderlineSMOTE untuk menangani data imbalanced menghasilkan kinerja yang lebih baik daripada metode SMOTE lainnya berdasarkan nilai accuray, recall dan F1-Score dengan masing-masing nilai sebesar 84,09%, 85,25% dan 81,16%. Algoritma Random Forest menghasilkan nilai kinerja yang lebih tinggi dibandingkan algoritma lainnya LPPM Universitas Bina Sarana Informatika 2024-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2990 10.31294/coscience.v4i1.2990 Computer Science (CO-SCIENCE); Vol. 4 No. 1 (2024): Januari 2024; 80-88 2774-9711 2808-9065 10.31294/coscience.v4i1 id https://jurnal.bsi.ac.id/index.php/co-science/article/view/2990/1523 Copyright (c) 2024 Ridwan Ridwan, Eni Heni Hermaliani, Muji Ernawati https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/2996 2025-08-01T04:46:54Z co-science:ART driver

Pengembangan Sistem Self Ordering Berbasis Web Dengan Metode Rapid Application Development (RAD) Pengembangan Sistem Self Ordering Mimi Cakes and Cookies Berbasis Web Dengan Metode Rapid Application Development (RAD) Herdiansah, Arief Herdiansah, Arief Ramadhani, Ryan Zulham Mahpud, Mahpud Frithadila, Najmah Cakes, Cookies, Self-ordering, UMKM Cakes Cookies Cakes, Cookies, Self-ordering, MSMEs MSMEs The food order recording system can cause errors in recording orders, lose data and require a lot of time in the process of recording and reporting orders. Product marketing carried out using social media requires sellers to upload product photos one by one so that buyers can see them. This is more troublesome if the ordering process is carried out conventionally. This research is applied research on the development of a food ordering information system with a self-ordering concept which can be an alternative solution to replace conventional food ordering systems. This research was conducted at Mimi Cakes & Cookies MSME, which currently still uses conventional methods in the process of recording pre-orders for the food it sells. This research uses the Rapid Application Development (RAD) development method. The system was developed using the PHP Framework Codelgniter programming language with the VS Code text editor. The system development results were tested using the black box testing method. The results of this research produce a pre-order system with a Web-based self-ordering concept that can provide a solution to the problem of recording and reporting orders for Mimi Cakes & Cookies MSMEs. The system developed has also caused the number of orders for Mimi Cakes and Cookies to increase by 20% Sistem pencatatan pemesanan makanan manual dapat menimbulkan kesalahan dalam pencatatan pesanan, terjadinya kehilangan data dan memerlukan waktu cukup banyak dalam proses pencatatan dan pelaporan pesanan. Pemasaran produk yang dilakukan melalui media sosial mengharuskan penjual meng-upload foto-foto produk satu per satu agar dapat dilihat pembeli, hal tersebut lebih merepotkan apabila proses pemesanan dilakukan dengan konvensional. Penelitian ini adalah penelitian terapan pengembangan sistem informasi order makanan    dengan konsep self-ordering bias jadi alternatif solusi menjadi pengganti sistem order makanan konvensional. Penelitian ini dilakukan di UMKM Mimi Cakes & Cookies yang saat ini masih menggunakan metode konvensional dalam proses pencatatan pemesanan pre-ordermakanan yang dijualnya. Penelitian dijalankan menggunakan metode pembangunan Rapid Application Development (RAD). Sistem dikembangkan dengan bahasa pemprograman PHP Framework Codelgniter dengan text editor VS Code. Hasil pengembangan system diuji mengunakan metode pengujian kotak hitam. Hasil dari penelitian ini menghasilkan sebuah sistem pre-order berkonsep self-ordering berbasis Web yang dapat memberikan solusi atas masalah pencatatan dan pelaporan pemesanan pada UMKM Mimi Cakes & Cookies. LPPM Universitas Bina Sarana Informatika 2024-07-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/2996 10.31294/coscience.v4i2.2996 Computer Science (CO-SCIENCE); Vol. 4 No. 2 (2024): Juli 2024; 141-150 2774-9711 2808-9065 10.31294/coscience.v4i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/2996/1728 Copyright (c) 2024 The Author(s) https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/3328 2025-08-01T04:46:54Z co-science:ART driver

Klasifikasi Kualitas Buah Apel Dengan Algoritma K-Nearest Neighbor (K-NN) Menggunakan Bahasa Pemrograman Python Astuti, Puji Classification K-NN Python Fruit is an important intake for the human body, apples are included in the fruit favored by the people of Indonesia. For this reason, it is necessary to provide apples of good quality, so that they can benefit the body. By using the k-NN method that is considered able to train data quickly and effectively for training data and testing data in large quantities. This study began from the collection of datasets obtained from https://www.kaggle.com/, then perform a preprocessing process followed by separating the training data and testing data with a composition of 25% testing data and 75% training data. Then the k-NN method is applied to this study to be classified based on several existing criteria, so as to obtain the results of performance evaluation K-NN with the value of accuracy that has been calculated with python programming. In implementing datamining using Python programming language by utilizing the library that has been provided as a process to facilitate the implementation of machine learning. From The Matrix confution test, there are 441 data predicted with true data, and 440 data predicted incorrectly. As for the 54 and 65 data predicted to be less precise than 1000 testing data. So that the accuracy value obtained by the k-NN method is equal to 0.88 or 88%. It is seen that the k-NN method can work well, quickly and efficiently in training large amounts of data. LPPM Universitas Bina Sarana Informatika 2024-07-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/3328 10.31294/coscience.v4i2.3328 Computer Science (CO-SCIENCE); Vol. 4 No. 2 (2024): Juli 2024; 127-132 2774-9711 2808-9065 10.31294/coscience.v4i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/3328/1705 Copyright (c) 2024 The Author(s) https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/3332 2025-08-01T04:46:54Z co-science:ART driver

Metode Rapid Application Development Dalam Pengembangan Sistem Informasi Perpustakaan Berbasis Web Hidayatulloh, Syarif Patyani, Enda perpustakaan RAD sistem informasi sekolah The information system is crucial for business processes in all fields, including education. A library at SMK Negeri 1 Jawai, Sambas Regency, currently manages its data, borrowing, and book return processes manually, using physical records and writing tools. With such management, the library faces various challenges. Common issues include students having difficulty tracking borrowed books, problems with lost returns, and discrepancies in the number of loans and returns. Therefore, this research aims to improve business processes at SMK Negeri 1 Jawai's library by developing a web-based information system tailored to its needs. Rapid Application Development was chosen as the development method for this library information system due to its ability to quickly produce a high-quality system. The method involves stages such as requirement planning, system design, and implementation. RAD is capable of creating a website that provides objective information. The resulting Information System from this research was tested using Blackbox Testing, which confirmed that all features and processing flows functioned correctly. LPPM Universitas Bina Sarana Informatika 2024-07-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/3332 10.31294/coscience.v4i2.3332 Computer Science (CO-SCIENCE); Vol. 4 No. 2 (2024): Juli 2024; 109-118 2774-9711 2808-9065 10.31294/coscience.v4i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/3332/1685 Copyright (c) 2024 The Author(s) https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/3358 2025-08-01T04:46:54Z co-science:ART driver

Rancang Bangun SPK Kualitas Air Sungai Metode Fuzzy Tsukamoto (Studi Kasus: 4 Kecamatan Karawang) Putra, Fery Anuar Ramadhan Hendriadi, Ade Andri Ridwan, Taufik Fuzzy Sungai SPK Waterfall Research reveals that the Citarum River in West Java is seriously polluted, causing problems for humans and the environment, so monitoring of river water quality is necessary. This research proposes the development of a web-based Decision Support System with the SDLC Waterfall model, using the Fuzzy Tsukamoto method based on seven water parameters (EC, TDS, Salinity, pH, ORP, SG, Temperature) to simplify the determination of water quality. This research uses the Research and Development methodology with the SDLC Waterfall model software development approach, which includes the stages of analyzing data requirements and fuzzy logic systems, designing system architecture and features, implementing technology and process results, functional manual testing and model accuracy, and maintenance in the form of documentation and storage. The results showed that the developed DSS can classify water quality based on 7 parameters with a value scale divided into five categories, namely Good, Poor, Medium, Good, and Very Good. Testing was conducted using data from 8 river points in 4 sub-districts in Karawang Regency on April 1, 2024. The accuracy of the DSS model reached 80%. The development of this DSS is expected to provide an initial overview of water quality in a location without requiring an in-depth technical understanding of the water parameters used. This data can also be an initial indicator to determine whether further action or further investigation is required. Suggestions for future research are to integrate the system with IoT to improve its performance and benefits. LPPM Universitas Bina Sarana Informatika 2024-07-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/3358 10.31294/coscience.v4i2.3358 Computer Science (CO-SCIENCE); Vol. 4 No. 2 (2024): Juli 2024; 99-108 2774-9711 2808-9065 10.31294/coscience.v4i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/3358/1676 Copyright (c) 2024 The Author(s) https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/3387 2025-08-01T04:46:54Z co-science:ART driver

Penerapan Algoritma C4.5 Untuk Menentukan Kepuasan Pengguna Aplikasi E-Open Study Kasus : Kelurahan Jati Makmur Komalasari, Yuli Puspitasari, Nabila Rahmah Chalimatusadiah, Chalimatusadiah Accuracy C4.5 Algorithm ,E-Open To support government administration activities in an area, an application called E-Open is needed. The application was created to support the Bekasi City government, one of which is Jatimakmur Village, which is a government agency in Pondok Gede, Bekasi City. The application has been implemented, evaluation of the administration process using the E Open application is required. The aim is to measure, help, test and analyze the level of satisfaction using the E-Open application for Jatimakmur Village residents. Using data mining in data processing to determine the accuracy of each process, accurately converting information so that information is quickly understood and includes collecting, using historical data, patterns or relationships in large data sets. The research population was taken as 150 samples. Quantitative research using the C4.5 algorithm method is used, because it can make predictions by providing an ideal level of accuracy for prediction. Test this research with RapidMiner version 10.1. The results of the processing have a significant effect in determining the classification of the level of citizen satisfaction with the E-Open application. With an accuracy level of 91.33%, while in manual calculations the accuracy was 90.67% for the Satisfied percentage, or also known as the Very Good category. Keywords : Accuracy, C4.5 Algorithm,E-Open LPPM Universitas Bina Sarana Informatika 2024-07-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/3387 10.31294/coscience.v4i2.3387 Computer Science (CO-SCIENCE); Vol. 4 No. 2 (2024): Juli 2024; 163-172 2774-9711 2808-9065 10.31294/coscience.v4i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/3387/1741 Copyright (c) 2024 The Author(s) https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/3443 2025-08-01T04:45:25Z co-science:ART driver

Aplikasi Pencatatan Kalori Harian Berbasis Android Dengan Arsitektur MVVM Ulhaq, Alfi Zia Adilukito, Abilawa Zulfiqar Neru, Sultan Muhamad Pascal Gadja Agisfio, Muhammad Daffa Obesity Calories MVVM waterfall SUS An imbalance between calorie intake and expenditure is considered the main cause of obesity or being overweight. So by controlling your calorie intake in a balanced manner and according to your needs you will be able to prevent obesity. The daily calorie recording application can help someone record, control and obtain information on their calorie intake. This article discusses the development of this type of application, named Nutrizen, using the waterfall method, during the development process by the CH2-PS076 team in the Bangkit 2023 batch 2 program. The application created is an Android-based application created with the Kotlin programming language and MVVM architecture as a design pattern that is easy to learn and makes the code easy to understand and manage. Testing this application uses the usability test method with the System Usability Scale tool to determine the level of user acceptance of usability. The results obtained include a marginal level of usability acceptance, so improvements are needed so that this application can be more accepted and relied on by the wider community. LPPM Universitas Bina Sarana Informatika 2025-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/3443 10.31294/coscience.v5i1.3443 Computer Science (CO-SCIENCE); Vol. 5 No. 1 (2025): Januari 2025; 26-34 2774-9711 2808-9065 10.31294/coscience.v5i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/3443/2025 Copyright (c) 2025 Alfi Zia Ulhaq, Abilawa Zulfiqar Adilukito, Sultan Muhamad Pascal Gadja Neru, Muhammad Daffa Agisfio https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/3459 2025-08-01T04:46:54Z co-science:ART driver

Penerapan Model Design Thinking Pada Perancangan Aplikasi Informasi Desa Wisata Kabupaten Bantul Hidayat, Wahyutama Fitri Malau, Yesni Purnama, Rachmat Adi Setiadi, Ahmad Design Thinking Desa Wisata Usability Testing Tourism actors in the current technological era have implemented information systems. With the rapid growth of tourist villages in Bantul Regency, there is a need for promotion and digital information delivery media. However, in developing digital media it is also necessary to pay attention to aspects of the users who are the target market. The design of the application called sidewi mobile (mobile tourist village information system) is based on user experience and needs, using the Design Thinking methodology which has five stages as follows: Empathize, Define, Ideate, Prototype, and Test. The design of the Sidewi mobile application was created using FIGMA software. This research has direct benefits, namely that it can be used as a benchmark for design needs before the development process. The results of the design are then tested using the usability testing method. Using a user friendly design approach and conducting testing using usability testing with the results of five users being able to complete the testing proves that when it was created using user experience there were no significant difficulties when used and it covered all needs. LPPM Universitas Bina Sarana Informatika 2024-07-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/3459 10.31294/coscience.v4i2.3459 Computer Science (CO-SCIENCE); Vol. 4 No. 2 (2024): Juli 2024; 133-140 2774-9711 2808-9065 10.31294/coscience.v4i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/3459/1711 Copyright (c) 2024 The Author(s) https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/4433 2025-08-01T04:46:54Z co-science:ART driver

Klasifikasi Perilaku Pemain Game Online Menggunakan Naïve Bayes Berbasis Particle Swarm Optimization Heristian, Sujiliani Anwar, Rian Septian Kautsar, Hanggoro Aji Al Sujiliani, Sujiliani Heristian A klasifikasi Particle Swarm Optimization Naïve Bayes Game Online Much research has been conducted to understand player behavior as a result of the rapid growth of online gaming. In this research, we use the Naive Bayes method optimized using Particle Swarm Optimization (PSO) to analyze the behavior classification of online game players. The classification accuracy value of the baseline method is 75.09% and the Area Under the Curve (AUC) value is 0.798. We use PSO-based optimization on Naïve Bayes to improve model performance. The results showed that the combination of Naïve Bayes and PSO increased classification accuracy to 95.28% with an AUC value of 0.990. This is a major advance that shows that combining the PSO algorithm with Naive Bayes can enable better classification of online game player behavior. These findings will make a significant contribution to the process of making plans that can improve the gaming experience. LPPM Universitas Bina Sarana Informatika 2024-07-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/4433 10.31294/coscience.v4i2.4433 Computer Science (CO-SCIENCE); Vol. 4 No. 2 (2024): Juli 2024; 151-156 2774-9711 2808-9065 10.31294/coscience.v4i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/4433/1726 Copyright (c) 2024 The Author(s) https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/4737 2025-08-01T04:46:54Z co-science:ART driver

Prediksi Kualitas Tidur: Pendekatan Machine Learning yang Mengintegrasikan Faktor Kesehatan dan Lingkungan Prediksi Kualitas Tidur: Pendekatan Machine Learning yang Mengintegrasikan Faktor Kesehatan dan Lingkungan Putra, Jordy Lasmana Putra, Jordy Lasmana Hidayat, Wahyutama Fitri Sleep Quality Machine Learning Deep Learning Random Forest NPHA sleep quality machine learning deep learning random forest npha ganguan tidur sangat mempengaruhi kualitas tidur seseorang yang dapat menyebabkan masalah kesehatan yang serius, untuk kalangan lansia kualitas tidur yang buruk dapat menyebabkan tingkat harapan hidup menurun drastis. Banyak sekali faktor-faktor yang dapat mempengaruhi kualitas tidur lansia, yang perlu dilakukan analisis dan prediksi agar dapat meningkatkan kualitas tidur yang baik. Penelitian ini bertujuan untuk melakukan prediksi kualitas tidur lansia dengan mengintegrasikan faktor kesehatan dan lingkungan menggunakan pendekatan machine learning, data set yang digunakan adalah data set baru yang ada di website kaggle.com yaitu data National Poll on Healthy Aging (NPHA) yang berisikan wawasan tentang isu kesehatan, perawatan kesehatan, dan kebijakan kesehatan yang memengaruhi orang Amerika berusia 50 tahun ke atas. Metode maching learning, yaitu deep learning dengan algoritma Random Forest digunakan pada penelitian ini dan menunjukkan hasil yang baik dengan nilai akurasi 94,00% dan 44,44% akurasi yang didapatkan dengan menggunakan data latih. Sleep disorders significantly affect an individual's sleep quality, which can lead to serious health problems. For the elderly, poor sleep quality can drastically reduce life expectancy. The main problem is the lack of effective predictive tools to improve sleep quality among the elderly, compounded by the numerous factors that can influence their sleep quality. Therefore, analysis and prediction are necessary to enhance sleep quality. This study aims to develop and test a predictive model for sleep quality in the elderly by integrating health and environmental factors using a machine learning approach. The dataset used is a new one available on the website Kaggle.com, namely the National Poll on Healthy Aging (NPHA) data, which provides insights into health issues, healthcare, and health policies affecting Americans aged 50 and above. The aim is to improve sleep quality among the elderly. A machine learning method, specifically deep learning with the Random Forest algorithm, was used in this study and showed good results with an accuracy rate of 94.00% and a training data accuracy of 44.44%. The results of this study are expected to provide a predictive tool that can be used by healthcare practitioners to improve the sleep quality of the elderly, thereby positively impacting their health and life expectancy. LPPM Universitas Bina Sarana Informatika 2024-07-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/4737 10.31294/coscience.v4i2.4737 Computer Science (CO-SCIENCE); Vol. 4 No. 2 (2024): Juli 2024; 157-162 2774-9711 2808-9065 10.31294/coscience.v4i2 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/4737/1735 Copyright (c) 2024 The Author(s) https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/5027 2025-08-01T04:45:25Z co-science:ART driver

Prediksi Risiko Alzheimer: Perbandingan Kinerja Algoritma Klasifikasi Prediksi Risiko Alzheimer Perbandingan Kinerja Algoritma Klasifikasi sidik Sidik, sidik alzheimer's disease KDD Data Mining SMOTE algorithm model Alzheimer's disease is one of the most common forms of dementia characterized by a gradual decline in the ability to think, remember, and behave. The disease progresses slowly and usually begins with short-term memory loss, followed by difficulties in language, disorientation, and personality changes. Early detection of Alzheimer's is important to slow its progression. This study implements Knowledge Discovery in Database (KDD) with data pre-processing stages, SMOTE data balance, classification. The dataset from Kaggle contains 2,149 data 35 features. This study uses five types of algorithm models. with the five algorithms tested. Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, and K-Nearest Neighbor classification algorithms. Algorithm Implementation: The Random Forest algorithm is implemented during the classification process after data updates. This model is then assessed together with other algorithms using accuracy, precision, recall, F1-score, and ROC curve metrics to determine its effectiveness in detecting Alzheimer's. Meanwhile, the experiment was carried out by dividing the data into two parts, namely training data and test data of 70% and 30%. Research Results: The results showed that the Random Forest algorithm had the best performance with an Accuracy of around 0.98, Precision of 0.96, Recall of 1.00, and F1-score of 0.97, and an AUC value of around 0.99. This algorithm has proven to be superior to other algorithms in early detection of Alzheimer's disease. Penyakit Alzheimer merupakan salah satu bentuk paling umum dari demensia yang ditandai dengan penurunan kemampuan berpikir, mengingat, dan berperilaku secara bertahap. Penyakit ini berkembang secara perlahan dan biasanya dimulai dengan hilangnya memori jangka pendek, diikuti oleh kesulitan dalam bahasa, disorientasi, dan perubahan kepribadian. Deteksi dini Alzheimer penting untuk memperlambat perkembangannya. Penelitian ini mengimplementasikan Knowledge Discovery in Database (KDD) dengan tahapan pra-pemrosesan data, keimbangan data SMOTE, klasifikasi. Dataset dari Kaggle berisi 2.149 data 35 fitur. Penelitian ini menggunakan lima jenis model algoritma.dengan kelima algoritma yang diuji. Algoritma klasifikasi Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, dan K-Nearest Neighbor. Penerapan Algoritma: Algoritma Hutan Acak diimplementasikan selama proses klasifikasi setelah dilakukan pembaharuan data. Model ini kemudian dinilai bersama dengan algoritma lain menggunakan metrik akurasi, presisi, ingat, F1-skor, dan lengkungan ROC untuk menentukan efektivitasnya dalam mendeteksi Alzheimer. Sementara itu, eksperimen dilakukan dengan membagi data menjadi dua bagian yaitu data latih dan data uji sebesar 70% dan 30%. Hasil Penelitian: Hasil penelitian menunjukkan bahwa algoritma Hutan Acak memiliki kinerja terbaik dengan Accuracy sekitar 0,98, Precision 0,96, Recall sebesar 1.00, dan F1-score 0,97, dan nilai AUC sekitar 0,99. Algoritma ini terbukti lebih unggul dibandingkan algoritma lain dalam mendeteksi dini penyakit Alzheimer. LPPM Universitas Bina Sarana Informatika 2025-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/5027 10.31294/coscience.v5i1.5027 Computer Science (CO-SCIENCE); Vol. 5 No. 1 (2025): Januari 2025; 1-7 2774-9711 2808-9065 10.31294/coscience.v5i1 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/5027/2073 Copyright (c) 2024 sidik https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/5152 2025-08-01T04:45:25Z co-science:ART driver

Analisis Sentimen Cyberbullying Pada Komentar X Menggunakan Metode Naïve Bayes Wibisono, Bany Machmud, Aprizal Suryani, Nining Yunita, Yunita Cyberbullying Classification Naive Bayes Preprocessing Advances in communication technology and social media have made it easier to access global information, but have also increased cases of cyberbullying on platforms such as X. The impact of cyberbullying can include physical and psychological disorders, such as increased loneliness, anxiety, depression, and decreased self-esteem. In addition, victims of cyberbullying may feel distress that can increase the risk of suicidal ideation. This research utilizes the Naïve Bayes method to effectively and efficiently classify cyberbullying-related comments. This classification model was developed to detect cyberbullying in comments on X, using the Naïve Bayes algorithm and a dataset from Kaggle consisting of 650 comments that contain cyberbullying characteristics and those that do not. This research includes several preprocessing steps such as tokenization, normalization, and stemming. The data was then divided into two parts: 80% for training data and 20% for testing data. The evaluation results show a model accuracy of 80.77%, precision 81.25%, recall 70.91%, and AUC 0.794. The innovation in this research lies in the use of 2 (two) stemming operators, namely stemming dictionary and stemming snowball, where the stemming dictionary uses a special file containing abbreviations or slang words, which are often used in comments on the word becomes its basic form. This model tends to be more accurate in classifying comments as non-bullying than bullying. Suggestions for improvement include exploring other preprocessing methods and algorithms, as well as using larger and more varied datasets. Kemajuan teknologi komunikasi dan media sosial mempermudah akses informasi global, namun juga meningkatkan kasus cyberbullying di platform seperti X. Dampak dari cyberbullying dapat mencakup gangguan fisik dan psikologis, seperti peningkatan kesepian, kecemasan, depresi, serta penurunan harga diri. Selain itu, korban cyberbullying mungkin merasakan tekanan yang dapat meningkatkan risiko keinginan untuk bunuh diri. Penelitian ini menggunakan metode Naïve Bayes untuk secara efektif dan efisien mengklasifikasikan komentar terkait cyberbullying. Model klasifikasi ini dikembangkan untuk mendeteksi cyberbullying pada komentar di X, menggunakan algoritma Naïve Bayes dan dataset dari Kaggle yang terdiri dari 650 data komentar yang mengandung ciri-ciri cyberbullying maupun yang tidak. Penelitian ini mencakup beberapa tahap preprocessing seperti tokenisasi, normalisasi, dan stemming. Data kemudian dibagi menjadi dua bagian: 80% untuk data training dan 20% untuk data testing. Hasil evaluasi menunjukkan akurasi model sebesar 80,77%, precision 81,25%, recall 70,91%, dan AUC 0,794. Model ini cenderung lebih akurat dalam mengklasifikasikan komentar sebagai non-bullying dibandingkan bullying. Saran peningkatan meliputi eksplorasi metode preprocessing dan algoritma lain, serta penggunaan dataset yang lebih besar dan bervariasi. LPPM Universitas Bina Sarana Informatika 2025-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/5152 10.31294/coscience.v5i1.5152 Computer Science (CO-SCIENCE); Vol. 5 No. 1 (2025): Januari 2025; 8-16 2774-9711 2808-9065 10.31294/coscience.v5i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/5152/2006 Copyright (c) 2025 Bany Wibisono, Aprizal Machmud, Nining Suryani, Yunita Yunita https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/5522 2025-08-01T04:45:25Z co-science:ART driver

Studi Perbandingan Algoritma Random Forest dan K-Nearest Neighbors (KNN) dalam Klasifikasi Gangguan Tidur Khasanah, Nurul Khasanah, Nurul Eka Saputri , Daniati Uki Aziz, Faruq Hidayat, Taopik Classification Sleep Disorders Random Forest KNN Sleep disorders such as insomnia and sleep apnea can significantly affect quality of life and increase the risk of chronic diseases. Early identification and classification of sleep disorders are crucial in preventing further impacts. This study aims to compare the performance of the Random Forest and K-Nearest Neighbors (KNN) algorithms in classifying sleep disorders using the Sleep Health and Lifestyle Dataset from Kaggle, which contains health and lifestyle data relevant to sleep patterns. The Random Forest and KNN algorithms were applied to classify sleep disorders into the categories 'None', 'Sleep Apnea', and 'Insomnia'. Based on the study results, the Random Forest algorithm achieved an accuracy of 89.69%, with the best performance in the 'None' category, reaching a recall of 96.08%. Meanwhile, KNN achieved an accuracy of 87.02% with K=5. Although Random Forest demonstrated superior results, challenges were still found in detecting the 'Sleep Apnea' category, where recall only reached 74.55%, likely due to data imbalance. This study shows that the Random Forest algorithm is more effective in classifying sleep disorders compared to KNN. Future research steps include data balancing and exploring other algorithms such as XGBoost to improve the performance of sleep disorder detection. Gangguan tidur seperti insomnia dan sleep apnea dapat memengaruhi kualitas hidup secara signifikan serta meningkatkan risiko penyakit kronis. Identifikasi dini dan klasifikasi gangguan tidur menjadi penting untuk mencegah dampak lebih lanjut. Penelitian ini bertujuan untuk membandingkan performa algoritma Random Forest dan K-Nearest Neighbors (KNN) dalam klasifikasi gangguan tidur menggunakan Sleep Health and Lifestyle Dataset dari Kaggle, yang berisi data kesehatan dan gaya hidup yang relevan dengan pola tidur. Algoritma Random Forest dan KNN diterapkan untuk mengklasifikasikan gangguan tidur ke dalam kategori 'None', 'Sleep Apnea', dan 'Insomnia'. Berdasarkan hasil penelitian, algoritma Random Forest menghasilkan akurasi sebesar 89,69%, dengan performa terbaik pada kategori 'None' yang mencapai recall 96,08%. Sementara itu, KNN menghasilkan akurasi sebesar 87,02% dengan K=5. Meskipun Random Forest menunjukkan hasil yang lebih unggul, tantangan masih ditemukan dalam mendeteksi kategori 'Sleep Apnea', di mana recall hanya mencapai 74,55%, yang kemungkinan disebabkan oleh ketidakseimbangan data. Penelitian ini menunjukkan bahwa algoritma Random Forest lebih efektif dalam klasifikasi gangguan tidur dibandingkan KNN. Langkah penelitian selanjutnya adalah penyeimbangan data dan eksplorasi algoritma lain seperti XGBoost untuk meningkatkan performa deteksi gangguan tidur. LPPM Universitas Bina Sarana Informatika 2025-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/5522 10.31294/coscience.v5i1.5522 Computer Science (CO-SCIENCE); Vol. 5 No. 1 (2025): Januari 2025; 17-25 2774-9711 2808-9065 10.31294/coscience.v5i1 en id https://jurnal.bsi.ac.id/index.php/co-science/article/view/5522/2007 Copyright (c) 2025 Nurul Khasanah, Daniati Uki Eka Saputri , Faruq Aziz, Taopik Hidayat https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/6208 2025-08-01T04:45:25Z co-science:ART driver

Analisa Komparasi Model Data Mining Algoritma C4.5, CHAID, dan Random Forest Untuk Penilaian Kelayakan Kredit Amrin, Amrin Pahlevi, Omar Rianto, Harsih classification algorithm C4.5 Chi-Squared Automatic Interaction Detection (CHAID) random forest confusion matrix Credit has now become a trend in society. The problem with credit is the improper history of credit card usage. The resulting impact can lead to bad credit. If customers fail to pay off debts that have been agreed upon with the bank, they can increase their credit risk. This study aims to conduct a comparative analysis of three data mining classification methods: the C4.5 algorithm, Chi-Squared Automatic Interaction Detection (CHAID), and Random Forest. The goal is to classify creditworthiness status. The researcher used 481 vehicle credit records with "bad" and "good" reviews. In this study, the independent variables used are dependent status, age, marital status, occupation, income, employment status, company status, last education, length of stay, house condition, and down payment. For creditworthiness assessment, the C4.5 model shows a truth accuracy rate of 91.90% with an area under the curve (AUC) value of 0.915. The CHAID model shows a truth accuracy rate of 63.83% with an AUC value of 0.661, and the Random Forest model shows a truth accuracy rate of 78.60% with an AUC value of 0.907. The evaluation results show that both the Random Forest and C4.5 algorithms have high accuracy rates and AUC values. LPPM Universitas Bina Sarana Informatika 2025-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/6208 10.31294/coscience.v5i1.6208 Computer Science (CO-SCIENCE); Vol. 5 No. 1 (2025): Januari 2025; 49-57 2774-9711 2808-9065 10.31294/coscience.v5i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/6208/2035 Copyright (c) 2025 Omar Pahlevi, Amrin, Harsih Rianto https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/6900 2025-08-01T04:50:11Z co-science:ART driver

Penerapan Integrasi Algoritma K-Means Dan Naïve Bayes Untuk Klasifikasi Wilayah Rawan Banjir Di Jakarta Sinatrya, Irfan Maulana Pohan, Achmad Baroqah Yunita, Yunita Amalia, Hilda Lestari, Ade Fitria Flood Data Mining Naïve Bayes K-Means Jakarta, as a metropolitan city in Indonesia, often experiences flooding caused by high rainfall, poor drainage systems, and rapid urbanization. This research aims to classify flood-prone areas in Jakarta using a combination of K-Means Clustering and Naïve Bayes Classifier algorithms. The research phase begins with data collection from the Satu Data Jakarta website, including attributes such as region, sub-district, village, average water level, number of affected RWs, number of affected families, number of affected people, and number of flood events. The collected data is then processed through cleaning and normalization stages before being analyzed using the K-Means algorithm to group areas based on their flooding characteristics. Furthermore, the Naïve Bayes algorithm was used to build a classification model that predicts flood-prone areas. The results showed that the combination of these two algorithms resulted in higher average accuracy compared to the use of conventional Naïve Bayes, having an accuracy of 98.18%% at training and testing data split ratios of 70:30, 80;20 and 90:10. The findings provide valuable insights for flood risk mitigation in Jakarta, assisting the government in taking more effective preventive measures. LPPM Universitas Bina Sarana Informatika 2025-07-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/6900 10.31294/coscience.v5i2.6900 Computer Science (CO-SCIENCE); Vol. 5 No. 2 (2025): Juli 2025; 67-76 2774-9711 2808-9065 10.31294/coscience.v5i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/6900/2167 Copyright (c) 2025 Irfan Maulana Sinatrya Sinatrya, Achmad Baroqah Pohan, Yunita Yunita, Hilda Amalia, Ade Fitria Lestari https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/7576 2025-08-01T04:45:25Z co-science:ART driver

Customer Churn Prediction Pada Sektor Perbankan Dengan Model Logistic Regression dan Random Forest Mufida, Ely Andriansyah, Doni Hertyana, Hylenarti mufida, elly Customer Churn Logistic Regression Random Forest Unsupervised Learning – Customer churn is a detrimental phenomenon in the banking sector because it can reduce revenue and increase the cost of acquiring new customers. This research aims to compare the performance of two models, Logistic Regression and Random Forest, to predict customer churn using datasets from Kaggle. The research process involves data preprocessing such as z-score normalization and dividing the dataset into training data (70%) and testing data (30%). The model was evaluated using a confusion matrix with Accuracy, precision, recall and F1-Score values. Logistic Regression achieved 76.85% Accuracy, 79% precision, 94% recall, and 86% F1-Score, showing quite good performance but susceptible to false positives. In contrast, Random Forest shows superior performance with 83.12% Accuracy, 84% precision, 96% recall, and 90% F1-Score. Random Forest is suitable for problems with high recall requirements because it is more reliable in detecting potential customer churn. To further improve model performance, it is recommended to perform hyperparameter optimization and feature importance analysis. This churn prediction model is expected to help banks reduce churn and increase customer retention. LPPM Universitas Bina Sarana Informatika 2025-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/7576 10.31294/coscience.v5i1.7576 Computer Science (CO-SCIENCE); Vol. 5 No. 1 (2025): Januari 2025; 58-66 2774-9711 2808-9065 10.31294/coscience.v5i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/7576/2040 Copyright (c) 2025 Ely Mufida, Doni Andriansyah, Hylenarty Hertyana https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/7618 2025-08-01T04:45:25Z co-science:ART driver

Analisis Performa Model ResNet-50 Pada Diagnosis Pneumonia Balita Berdasarkan Citra Radiografi Thorax Rahmawati, Ami Yulianti, Ita Nurajizah, Siti Hidayatulloh, Taufik Sari, Ani Oktarini Thorax Radiography Pneumonia ResNet-50 One of the most serious complications of ARI is pneumonia, where this disease causes sufferers to experience pain when breathing and limited oxygen intake. According to the World Health Organization (WHO), pneumonia is classified as a life-threatening disease due to the high mortality rate caused. To be able to diagnose this disease, patients usually undergo various medical examination methods, one of which is through chest radiography. However, the challenge in diagnosing pneumonia generally lies in the complexity and uncertainty in interpreting the results of these methods. Therefore, this study was conducted with the aim of building an image classification model based on the Chest radiography dataset from toddler patients using the ResNet-50 architecture, which is a variant of the Convolutional Neural Networks (CNN) algorithm. The combination of the two methods is applied to analyze and process images and obtain pattern recognition with high accuracy. The research methods used include the application of data augmentation, CNN architecture design, model training, and performance evaluation. The evaluation results show that the model has quite good performance with an accuracy of 85%, which indicates the model's ability to classify images with a fairly high level of accuracy, and has the potential to help the pneumonia diagnosis process more efficiently and accurately. LPPM Universitas Bina Sarana Informatika 2025-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/7618 10.31294/coscience.v5i1.7618 Computer Science (CO-SCIENCE); Vol. 5 No. 1 (2025): Januari 2025; 42-48 2774-9711 2808-9065 10.31294/coscience.v5i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/7618/2032 Copyright (c) 2025 Ami Rahmawati, Ita Yulianti, Siti Nurajizah, Taufik Hidayatulloh, Ani Oktarini Sari https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/7775 2025-08-01T04:45:25Z co-science:ART driver

Analisis Sentimen Ulasan Pelanggan Menggunakan Algoritma Naive Bayes pada Aplikasi Gojek Heristian, Sujiliani Napiah, Musriatun Erawati, Wati Gojek Sentiment analysis Naive Bayes Transportation is a means that a person uses to move from one place to another. One mode of transportation that is popular among the public is online motorcycle taxis, such as Gojek. Gojek continues to innovate to meet customer needs more effectively, as well as expand the scope of its services. This research aims to identify the number of positive and negative sentiments in the user review dataset, evaluate the performance of the algorithm used, and measure the level of customer satisfaction with Gojek services. Analysis was carried out on 6,485 customer reviews, which resulted in 4,387 positive sentiments and 2,098 negative sentiments. The classification model used, namely Naive Bayes, shows an accuracy of 88.5%, precision of 88.1%, and recall of 89.0%. The results of this research indicate that the Naive Bayes method provides good performance in analyzing the sentiment of user reviews of Gojek services LPPM Universitas Bina Sarana Informatika 2025-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/7775 10.31294/coscience.v5i1.7775 Computer Science (CO-SCIENCE); Vol. 5 No. 1 (2025): Januari 2025; 35-41 2774-9711 2808-9065 10.31294/coscience.v5i1 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/7775/2031 Copyright (c) 2025 Sujiliani Heristian, Musriatun Napiah, Wati Erawati https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/8505 2025-08-01T04:50:11Z co-science:ART driver

Optimalisasi Presensi Sekolah Berbasis QR Code dengan Metode Rapid Application Development Rahmawati, Eva Brawijaya, Herlambang Andriansyah, Doni Mufida, Elly School attendance system QR Code RAD methodology school management automation security High School attendance systems play an important role in monitoring student attendance and enforcing discipline in the academic environment. However, many schools still use manual methods such as written attendance lists or teacher name calling, which are inefficient, time-consuming, and prone to manipulation and fraud. These methods present challenges for teachers and administrative staff, leading to inaccurate recording, data loss, and falsification of attendance. To address these issues, this study proposes the development of a QR Code-based school attendance system using the Rapid Application Development (RAD) methodology. RAD was chosen because of its ability to produce prototypes quickly and allow for iterative system improvements according to user needs. The proposed system allows students to scan a unique QR Code to automatically record their attendance, thereby reducing human intervention and minimizing errors. The expected outcomes of this study include increased accuracy, efficiency, and security in recording student attendance. The RAD approach is predicted to accelerate the development process without sacrificing ease of use and system reliability. In addition, this system is expected to be able to prevent fraud in attendance, because QR Code-based authentication provides a more secure validation mechanism. Through a series of trials and evaluations, this study aims to prove that the integration of RAD with QR Code technology can improve the effectiveness of attendance recording compared to conventional methods. Based on the results of the trials and evaluations, it can be concluded that the QR Code-based attendance system with the RAD approach has been proven to improve the efficiency, accuracy, and security of the attendance system in schools. LPPM Universitas Bina Sarana Informatika 2025-07-09 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/8505 10.31294/coscience.v5i2.8505 Computer Science (CO-SCIENCE); Vol. 5 No. 2 (2025): Juli 2025; 87-94 2774-9711 2808-9065 10.31294/coscience.v5i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/8505/2235 Copyright (c) 2025 Eva Rahmawati, Herlambang Brawijaya, Doni Andriansyah, Elly Mufida https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/8864 2025-08-01T04:50:11Z co-science:ART driver

Sistem Manajemen Proyek Berbasis Website Dengan Metode Kanban Widjaja, Florence Aurelia Hakim, Bhustomy Project Management Website Next.js Kanban waterfall The advancement of digital technology has created a growing demand for systems that support work effectiveness, particularly in project management. The Digital Learning Division at PT. Kurnia Ciptamoda Gemilang faces challenges in monitoring projects in a structured and timely manner, necessitating a web-based project management system tailored to the company’s specific needs. This study aims to design a standalone web-based project management system that is not yet integrated with existing systems but is structured to allow future integration. The system was developed using the Next.js framework, applying the Kanban method and the SDLC Waterfall development model. The research involved problem identification, literature review, and interviews with project managers to gather both functional and non-functional requirements. The results show that the developed system includes key features such as workspace management, member management, project and task management, task prioritization, deadline setting, and visualizations in the form of Kanban boards and calendars. Work efficiency is measured through the availability of a more structured workflow and a reduction in miscommunication during task assignment. The system was evaluated using the Black Box Testing method, and the results confirm that all features function according to specifications and meet the users' actual needs in the work environment. The system has proven effective in improving work efficiency, facilitating team coordination, and ensuring that projects proceed as planned. LPPM Universitas Bina Sarana Informatika 2025-07-09 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/8864 10.31294/coscience.v5i2.8864 Computer Science (CO-SCIENCE); Vol. 5 No. 2 (2025): Juli 2025; 77-86 2774-9711 2808-9065 10.31294/coscience.v5i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/8864/2232 Copyright (c) 2025 Florence Aurelia Widjaja, Bhustomy Hakim https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/8897 2025-08-01T04:50:11Z co-science:ART driver

Implementasi Firewall Mikrotik dalam Pembatasan Akses Situs Terlarang di RT/RW Net Al Kautsar, Hanggoro Aji Sastra, Ricki Al Kautsar, Hanggoro Aji firewall rt/rw net filtering mikrotik The increasing use of the Internet in RT/RW Net environments has brought both positive and negative impacts. One issue is the unrestricted access to inappropriate content, especially among students, such as online games, pornography, and gambling websites. This study aims to restrict internet user access rights in RT/RW Net networks by implementing firewall filters on MikroTik routers. The method used is firewall filtering configuration based on IP, port, and domain restrictions. The results show that the implementation of the firewall filter on MikroTik routers effectively blocks access to restricted sites and improves network security. Tests were carried out before and after configuration, showing the successful blocking of unwanted content. standards. LPPM Universitas Bina Sarana Informatika 2025-07-23 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/8897 10.31294/coscience.v5i2.8897 Computer Science (CO-SCIENCE); Vol. 5 No. 2 (2025): Juli 2025; 123-132 2774-9711 2808-9065 10.31294/coscience.v5i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/8897/2282 Copyright (c) 2025 Hanggoro Aji Al Kautsar, Ricki Sastra https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/8973 2025-08-01T04:50:11Z co-science:ART driver

Sistem Informasi Persediaan Obat Pada PT Mega Esa Farma Dengan Metode Extreme Programming Rudianto, Biktra Prisscilya, Sheren Inventory UML Information Systems Web PT. Mega Esa Farma is one of the leading pharmaceutical companies in Indonesia, facing significant challenges in managing inventory information. The main issues lie in recording incoming and outgoing goods, final stock, and other inventory-related problems. These obstacles result in slow data processing and delays in providing accurate information, ultimately hindering the efficiency of product sales and distribution. This study aims to develop a web-based inventory information system capable of efficiently managing, processing, organizing, and storing data, while presenting accurate and real-time information. The system development adopts the Extreme Programming (XP) methodology, which emphasizes short iterations, automated testing, simple design, and close collaboration between users and developers. System analysis is carried out using the Unified Modeling Language (UML) to visualize the structure and functionality of the system. The implementation results show that the developed system simplifies inventory recording, accelerates information access, and improves data accuracy. It also provides features such as minimum stock notifications and real-time reporting, which were not available in the previous manual system. The main contribution of this study lies in applying the XP methodology in the context of pharmaceutical inventory system development, along with the integration of real-time reporting and stock alert features as a form of novelty. This system is expected to serve as an innovative solution to enhance inventory management efficiency in the pharmaceutical industry, particularly at PT. Mega Esa Farma. LPPM Universitas Bina Sarana Informatika 2025-07-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/8973 10.31294/co-science.v5i2.8973 Computer Science (CO-SCIENCE); Vol. 5 No. 2 (2025): Juli 2025; 153-162 2774-9711 2808-9065 10.31294/coscience.v5i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/8973/2299 Copyright (c) 2025 Biktra Rudianto, Sheren Prisscilya https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/9109 2025-08-01T04:50:11Z co-science:ART driver

Model Prediksi Risiko Kesehatan Perkotaan Berbasis Lingkungan dengan XGBoost Prihatin, Nanang Aulia, Muhammad Kahfi Utaminingsih, Eka air quality health risk XGBoost fine-tuning machine learning environmental variables Poor urban air quality is a major public health concern, especially in highly urbanized areas. This study aims to predict health risks associated with air pollution using machine learning techniques based on environmental variables. The dataset used, Urban Air Quality and Health Impact, contains 1,000 rows and 46 columns, including temperature, humidity, wind speed, dew point, ultraviolet (UV) index, and health risk scores from major U.S. cities. As an improvement over previous studies using linear regression and Random Forest (R-squared 0.89; Mean Squared Error/MSE 0.65), this research implements an optimized Extreme Gradient Boosting (XGBoost) model. The model was fine-tuned using Randomized Search on key hyperparameters and evaluated with an 80:20 data split. It achieved an R-squared of 0.9692 and MSE of 0.0122. Dew point and wind speed were identified as the most influential features. Although synthetic, the dataset reflects environmental patterns similar to Indonesian urban areas. This study does not adopt a text mining framework but instead uses a supervised regression approach based on environmental features. Its main novelty lies in the first application of an optimized XGBoost model using complex variables such as feels-like temperature to estimate urban health risk. Limitations include the absence of real-world validation with Indonesian data and the lack of analysis on interactions between variables LPPM Universitas Bina Sarana Informatika 2025-07-11 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/9109 10.31294/coscience.v5i2.9109 Computer Science (CO-SCIENCE); Vol. 5 No. 2 (2025): Juli 2025; 95-102 2774-9711 2808-9065 10.31294/coscience.v5i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/9109/2240 Copyright (c) 2025 Muhammad Kahfi Aulia, Eka Utaminingsih, Nanang Prihatin https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/9116 2025-08-01T04:50:11Z co-science:ART driver

Evaluasi  Dan Redesain Antarmuka Website megapolitanpos.com Menggunakan Metode Usability Testing Dan Heuristic Evaluation Tanuwijaya, Jonathan Prasetyo, Arfhan Interface Design Heuristic Evaluation Usability Testing Severity Rating Megapolitanpos.com, a Press Council-verified online news portal, faces usability problems such as complex navigation, unorganized layout, and less attractive visual design. This research aims to identify problems, redesign the interface, and improve user satisfaction through Usability Testing and Heuristic Evaluation. From 373 respondents, major problems such as unintuitive navigation, inconsistent news categories, unstructured information, absence of page loading indicators, and lack of user guidance were found. Most of the issues had a severity rating of 2, requiring redesign. The average severity rating obtained was 2.0. Recommendations include improving the category layout, adding loading indicators, tooltips, and arranging information elements logically, while maintaining the blue color as the visual identity. HTML and Bootstrap-based design prototypes designed based on valid and reliable analysis are expected to improve user experience and present information more intuitively. LPPM Universitas Bina Sarana Informatika 2025-07-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/9116 10.31294/co-science.v5i2.9116 Computer Science (CO-SCIENCE); Vol. 5 No. 2 (2025): Juli 2025; 133-142 2774-9711 2808-9065 10.31294/coscience.v5i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/9116/2292 Copyright (c) 2025 Jonathan Tanuwijaya, Arfhan Prasetyo https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/9166 2025-08-01T04:50:11Z co-science:ART driver

Penerapan Model Scrum Pada Perancangan Aplikasi Penerimaan Siswa Baru MTS Nu 03 Suradadi Diharja, Prawira Rosmiati, Mia Rahmayu, Mulia Scrum web application information system student admission MTS NU 03 Suradadi Digital transformation in the education sector demands innovation in service delivery, including the student admission process. This study presents an innovative approach through the application of the Scrum software development model to build a new student admission application at MTs NU 03 Suradadi. Unlike conventional methods, Scrum offers advantages in rapid iteration, adaptability to changing requirements, and close collaboration between the development team and stakeholders. The development process was carried out in stages through Scrum phases such as product backlog, sprint planning, development sprints, and sprint reviews and retrospectives. The result is a web-based application featuring key functionalities such as online registration, document uploads, registration proof printing, and user account management. The implementation results show a significant improvement in administrative efficiency and service accessibility, indicated by a 35% increase in student applicants, a reduction in data verification time from 3 days to 1 day, and a user satisfaction rate of 87%. These findings demonstrate that the application of Scrum not only improves product quality but also has a tangible impact in effectively and sustainably supporting the digitalization of educational services. LPPM Universitas Bina Sarana Informatika 2025-07-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/9166 10.31294/coscience.v5i2.9166 Computer Science (CO-SCIENCE); Vol. 5 No. 2 (2025): Juli 2025; 113-122 2774-9711 2808-9065 10.31294/coscience.v5i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/9166/2277 Copyright (c) 2025 Prawira Diharja, Mia Rosmiati, Mulia Rahmayu https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/9207 2025-08-01T04:50:11Z co-science:ART driver

Studi Komparatif Algoritma K-Means dan K-Medoids untuk Segmentasi Informasi Kesehatan Ananda, Muhammad Dwi Mardiah, Mardiah Masruriyah, Anis Fitri Nur Malik, Karenina Nurmelita Information Segmentation Clustering K-Means K-Medoids Health Data In analyzing medical data to support clinical decisions, segmentation of health information plays a crucial role. This study presents a comparative analysis of K-Means and K-Medoids algorithms in clustering Medical Examination data. This evaluation is conducted using two main internal approaches, namely Silhouette Score and Davies-Bouldin Index in measuring the quality of separation as well as cohesion between clusters. The experiment involved varying the number of clusters to determine the optimal configuration of each algorithm. The results show that K-Means provides representative performance and is more stable against data complexity, compared to the K-Medoids algorithm which is only optimal in a small number of clusters. Statistical analysis using one-way ANOVA was applied to test the significance of performance differences between algorithms based on the average Silhouette Score value, yielding an F-value of 4.8594 with a P-value of 0.0447. This indicates that the performance difference between the two algorithms is statistically significant at 5% significance rate. This research confirms the K-Means algorithm for segmenting health data with diverse distributions and is expected to serve as a foundation for the development of more efficient health data classification systems in the future. LPPM Universitas Bina Sarana Informatika 2025-07-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/9207 10.31294/coscience.v5i2.9207 Computer Science (CO-SCIENCE); Vol. 5 No. 2 (2025): Juli 2025; 103-112 2774-9711 2808-9065 10.31294/coscience.v5i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/9207/2273 Copyright (c) 2025 Anis Masruriyah, Karenina Nurmelita Malik, Anis Fitri Nur Masruriyah, Mardiah Mardiah https://creativecommons.org/licenses/by-sa/4.0

oai:ojs.pkp.sfu.ca:article/9511 2025-08-01T04:50:11Z co-science:ART driver

Perancangan Sistem Informasi Surat Administrasi Penduduk Elektronik Menggunakan Metode Scrum Indana, Luthfi Ilmananda, Asri Samsiar Digital civil administration documents research and development scrum Letter management is a routine activity carried out at the Kerta Jaya Village office in Banyuasin. Currently, the administration of administrative documents in this village has been done manually, resulting in long queues. This study aims to develop an information system for managing electronic administrative documents for residents, such as domicile certificates, death certificates, and single-marriage certificates. This research is a research and development (R&D) study using the Scrum method. The Scrum method divides tasks into small parts (sprints). In each sprint, researchers focus on completing several features that can be used immediately. The Scrum method was used because it has a structured framework with sprints that produce functional incremental products. This method is suitable because it allows for rapid adaptation so that application development does not take too long. The result of this study is an information system for managing electronic administrative letters in Kerta Jaya Village, Banyuasin District. From the results of the application's usability aspect, the percentage obtained on 30 respondents was 79.16%, meaning this application is suitable for use by the community. LPPM Universitas Bina Sarana Informatika 2025-07-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jurnal.bsi.ac.id/index.php/co-science/article/view/9511 10.31294/co-science.v5i2.9511 Computer Science (CO-SCIENCE); Vol. 5 No. 2 (2025): Juli 2025; 143-152 2774-9711 2808-9065 10.31294/coscience.v5i2 en https://jurnal.bsi.ac.id/index.php/co-science/article/view/9511/2295 Copyright (c) 2025 Luthfi Indana, Asri Samsiar Ilmananda https://creativecommons.org/licenses/by-sa/4.0 d08504e34b45ea7cfd366c381ff4c0c6