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All Journal Jurnal Mandiri IT
Yulia Rizki Amalia
Universitas Islam Negeri Raden Fatah Palembang
Computer Science & IT Library & Information Science Mathematics

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Application Of Data Mining For Prediction Of Sales Of Best-Selling Electronic Products Using K-Nearest Neighbor Method Yulia Rizki Amalia
Jurnal Mandiri IT Vol. 8 No. 2 (2020): January: Coputer Science and related.
Publisher : Institute of Computer Science (IOCS)

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Abstract

PT. Bintang Multi Sarana Palembang is one of the largest electronics companies in South Sumatra. This company has a wide variety of electronic products on offer. Judging from the large number of consumer demands 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 the company to plan stock supply. To determine the sales of the best-selling electronic products, data mining classification techniques and the K-Nearest Neighbor algorithm are used. The results of this study are predictions of the best selling electronics sales as many as 6 types of products from 22 types of products sold, namely CTV, Refrigerator, DVD, Speaker, Washing Machine and LCD. Based on the accuracy value of the best-selling product sales classification of 92.51%.
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