Penerapan Data Mining Untuk Prediksi Penjualan Produk Elektronik Terlaris Menggunakan Metode K-Nearest Neighbor

Abstract

Cahaya Elektronik is one of the largest electronics companies in North Sumatra. This company has various types of electronic products to offer. Judging from the large number of consumer requests for electronic products based on sales data for the last 3 years, predictions are needed for sales of the best-selling electronic products, in order to make it easier for companies to plan stock supplies. To find out the best-selling electronic product sales, data mining classification techniques and the K-Nearest Neighbor algorithm are used. The results of this study are predictions of the bestselling electronic sales of 7 types of products out of 20 types of products sold, namely CTV, Refrigerators, DVDs, Speakers, Washing Machines and LCDs. Based on the accuracy value of the best-selling product sales classification of 95%.