Paradigma

Application of Naïve Bayes for Classification of Criteria for Potable Water with the CRISP-DM Method

2023-01-13T14:39:57+07:00

With water, living things can do various things easily. The adequacy of water is also important in maintaining human health. Water can be said to be feasible if its content is in accordance with the feasible criteria. From the dataset obtained regarding the feasibility of water for this study, it will calculate the accuracy value obtained using the Naive Bayes algorithm. To simplify the process of processing research data this time using the CRISP-DM methodology which is a stage for data mining. The study uses two tools, namely Rapidminer and Google Collab to compare their accuracy values. By using the two tools in implementing the Naive Bayes algorithm on a potable water quality dataset, an accuracy of 62.8% is obtained. This value is accurate enough to predict the quality of drinking water.

Application of C4.5 Classification in Improving Recitation Fluency in Students

2023-02-13T14:31:18+07:00

Fluency in reciting the Koran is learning the recitation of the Qur'an in a tartil way. Based on the observations of researchers, the learning of tajwid in recitation and at school has not been effective so far. Because of this, both teachers and students at recitation or at school need improvement by finding out what can increase fluency in reciting the Koran and what has the most influence on improving fluency. So this study aims to improve the fluency of the Koran in students. The research method used is the Decision Tree data mining classification method with the C4.5 algorithm. The results of data processing with the C4.5 algorithm using the Rapidminer tools are attribute C1(fluency) being the most influential attribute for increasing students' reading fluency and performance data obtained with an accuracy of 83,33%.

Comparison of SAW and Topsis Methods in The Selection of The Best Online Bike Shops

2022-08-29T08:30:34+07:00

The need for information technology in this pandemic era is greatly increasing. Many people meet their needs by doing buying and selling transactions as if they were online. Through a decision support system using the SAW (Simple Additive Weighting) and TOPSIS (Technique for Others Reference by Similarity to Ideal Solution), methods can provide the best decision in choosing the best online bicycle store site. On the result of the calculation, it is obtained that the results of the two are appropriate. The SAW and TOPSIS methods produced the same ranking, namely the Rodalink site got the highest ranking with a value of 1.019 on the SAW method of 0.833 on the TOPSIS method followed by serbasepeda, united, and cycles. The results of comparing calculations using these 2 methods are considered the SAW method is the most relevant method.

Quality Analysis of the BNI Mobile Banking Application for Customers Using Webqual 4.0

2023-03-16T15:51:04+07:00

PT. Bank Negara Indonesia (Persero) Tbk. is a bank institution owned by the government of the Republic of Indonesia or better known as a state-owned company. In today's digital era, online services are the choice of most customers. This is because all types of banking transactions can be done easily. With the inclusion of smartphones as the devices most needed by the public at this time, BNI offers a mobile banking service called BNI Mobile Banking. This study will measure the quality of the BNI Mobile Banking application through the Webqual dimensions (usability, information quality, interaction quality) and the variable user satisfaction, namely BNI KCU Bogor customers. The data collection method uses primary data in the form of questionnaires distributed to 100 respondents. Data processing is done using SPSS. Based on data processing, it can be seen that the user's perception of ease of use, quality of information, quality of interaction is included in the very good category. Based on the results of the study, it was found that there was only an effect of usability and information quality and no effect of interaction quality on user satisfaction for BNI KCU Bogor customers. From the research results, it can be seen that the information quality variable contributes the largest contribution, namely 94.75% of the other variables

Optimization of the YOLOv7 Object Detection Algorithm for Estimating the Amount of Apple Harvest

2023-02-14T15:03:48+07:00

The increasing population consumed in high production and food needs for survival. Apples are one of the crop harvest products in Indonesia whose needs are increasing, because they are not only needed for human vitamins but can be used as hand fruit or a form of gratitude to those who receive the fruit. In the process of harvesting apples in agricultural land, harvesting is often found which is not feasible in the hands of consumers because it takes too long for apples to not be harvested when the condition of the fruit is feasible in maturity. Therefore, the authors approach this problem by processing the image results obtained to form a detection model, whether the apples are said to be feasible to be harvested immediately and from the image results it can also be calculated the number of fruits captured by the image model , feature enhancements Estimates on objects from this image model are expected to provide more timely harvest predictions in order to provide longer aging of apples and good fruit quality after reaching consumers

Prediction of Infant Mortality Using The Decision Tree and Genetic Algorithm Methods

2023-03-13T15:04:44+07:00

One of the things that plays a role in reducing infant mortality is the government. Based on infant mortality data in Jakarta in 2018 that has been previously tested with the decision tree algorithm, the update in this study is to use the genetic algorithm. The purpose of the update is to increase the accuracy of the results to be maximized. From the test results with the DT algorithm optimized by GA, the maximum accuracy value is 100%, and each attribute has a weight value of 1 where the value is the maximum value. After obtaining maximum results, the data will be used to reduce infant mortality, especially in Jakarta

Prediction of Black Soldier Fly Larva Sales and Production Using Linear Regression Method

2023-01-27T17:17:54+07:00

The waste problem is a problem that plagues the world. Various programs and methods have been carried out in processing waste. Until now, Bali has become the area with the most waste production in Indonesia, where every day the waste produced reaches 4,281 tons or in other words 1.5 million tons per year. In early 2021, a campaign on the separation of organic and non-organic waste has been initiated in several districts/cities in the province of Bali. The next problem is that people do not know how to process organic waste other than being compost for plants. Black Soldier Fly (BSF) or black soldier fly is an order of diptera whose physical characteristics are similar to wasps. BSF itself has an average life cycle from egg to adult of 45 days. Where the main consumption of BSF itself is organic waste. In Pelaga village, Petang sub-district, Badung district, there is an effort to breed BSF. Where in this effort, it can produce no less than 100 kg of BSF larvae within 15-20 days. The problems encountered by these entrepreneurs are often difficult to predict the amount of BSF larvae production, because around the area there are quite a lot of catfish and chicken farmers who need BSF larvae as feed. The use of linear regression method can overcome these problems. The results obtained between the application of this method include the accuracy value which reaches 62.5% for prediction of sales and 32.5% for prediction of production.

Internet Exchange Point Network Implementation Using IXP Manager And Bird in Idcloudhost

2023-03-20T20:41:18+07:00

Internet Exchange Point (IXP) is a network infrastructure providing facilities for connecting devices to exchange traffic. In building an IXP network, there are several main components: routers, switches, and IXP member devices. This research uses the UCLA method according to the scenario that has been made based on qualitative data from interviews with IDCloudHost. The research object is the IXP network owned by IDCloudHost, which was previously built using BIRD as the primary infrastructure in the form of a platform. This study aims to optimize the existing IXP network management process by re-implementing it using IXP Manager as the primary infrastructure. The research results show that the IXP network management process was done manually. BIRD configuration needed to be done on several different devices and could only be operated by IDCloudHost's Chief Technology Officer. The configuration process was done manually. After using IXP Manager, IXP network management on IDCloudHost Bogor configurations can generate automatically. All technicians operate the availability of IXP network performance graphs, which are more centralized and can. In addition, it also has an impact on the management process that can be carried out from a technical and administrative side, can be developed and integrated into various existing services at IDCloudHost, optimizes employee performance, and increases the maturity and business continuity of the company which means IXP network management at IDCloudHost can be optimized by using IXP Manager and BIRD

Implementation of Simple Additive Weighting Method To Analyze The Selection of The Laptop

2023-03-17T09:49:25+07:00

The existence of the laptop currently has been a basic need to help in completing work or daily activities. the many options of laptop types with different specifications are currently, creating some problems such as difficulty or confused when determining the laptop options to purchase. These problems are also found at the office of Satker PJN 1 Banten which is still done by considering only on laptop trends or only from specific advantages but not according to the existing needs and budget. The purpose of this research is to provide solutions to the problems by making a decision-making information system in analyzing the selection of the laptop at the office of Satker PJN 1 Banten. The proposed method is implementing the Simple Additive Weighting (SAW) method implemented by using a web-based application for the decision-making system in the selection of the laptop. The Simple Additive Weighting (SAW) method is a method used to produce the best alternative ranking value from some alternatives based on the weight of each criterion obtained from the result of the questionnaire data processing questionnaire. the results obtained from the selection of the laptop using the Simple Additive Weighting (SAW) method based on this web-based that can analyze the selection of the laptop objectively according to the ranking results of the calculations of the saw method, so the selection of the laptop is objective.

Application of Apriori Algorithm to Determine Sales of Traditional Foods

2023-03-20T21:01:28+07:00

Competition in the food sales industry is growing, making business owners have to be creative to increase sales turnover. Sales activities that occur every day make sales data increase. Researchers intend to make data on Traditional Restaurant as the basis for data mining processing on food sales using the apriori algorithm. The application of the Apriori Algorithm aims to find the most item combinations based on transaction data and then form association patterns from combinations of items. Association patterns are formed with a minimum support value of 10% and a minimum confidence value of 40% which results in 3 association rules and the most sold food products are Krupuk Bangka and Karedok with a support value of 0.105% and a confidence value of 0.583%