IMPLEMENTASI DATA MINING PENJUALAN ALAT TULIS KANTOR PADA PT TERANG JAYA LESTARI MENGGUNAKAN ALOGARITMA APRIORI

Abstract

Stationery has indeed become a very important and much sought after requirement, especially for
school children and office employees. In this study, the authors perform data processing on ATK sales to classify
ATK data and look for accuracy values as a determination of what goods are most in demand by customers. The
purpose of this research is as a marketing strategy in order to optimize the company's work in processing
available stock data so that it can meet customer needs. To find out the type of ATK that consumers are most
interested in, it takes a Data Mining technique with the Apriori Algorithm method and is supported by the
Tanagra application by researching sales data for 1 year. Data Mining is a combination of data analysis
techniques, while the Apriori Algorithm is the method most often used because it is very simple, easy and the
most widely proposed by several researchers, because there are parameters, namely Support Value (Support)
and Confidence Value (Confidence). Then the results of the research predictions obtained, that the sales of
stationery that are most in demand by customers are Kepper Documents, Map L, and Business Files