Penggunaan Data Mining Asosiasi dalam Penjualan Produk pada PT Tiga Usaha Jaya Menggunakan Algoritma Apriori

Abstract

PT Tiga Usaha Jaya is a company engaged in the sale and installation of CCTV (Closed Circuit Television) and Security Systems accompanied by Access Control systems. The company faces the problem of being left behind in following very rapid technological developments, the arrival of the COVID-19 pandemic which has caused the company to experience a decrease in the number of product purchase transactions. In addition, the company's sales transaction data has not been utilized for in-depth information analysis. In addressing this problem, an association data mining application is designed that applies the apriori algorithm. The application is expected to help companies in obtaining information related to the relationship between products that are often purchased together with the aim of improving sales strategies and the effectiveness of product bundling due to data-based information. The rule obtained with the highest confidence value at 0.8260 (82.6%) is "The EZVIZ C6N 1080P WIFI CAMERA CCTV SMART IP - 1080P - Without Memory product tends to be purchased together with the Ezviz C6N, H6C, H7C Original CCTV Bracket product". From these results, the company can provide discounts or can package recommended products to make it easier for customers to buy products.