JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia)
Vol 5 No 1 (2022): September

Klasifikasi Data Penjualan Dengan Metode K-Nearest Neighbor Pada Pt. Terang Abadi Raya

Novitadewi, Ni Made Ary (Unknown)
Sugiartawan, Putu (Unknown)
Fittryani, Yuri Prima (Unknown)



Article Info

Publish Date
13 Jun 2023

Abstract

PT. Terang Abadi Raya is a lighting company engaged in trading, with the many types of products to be sold the company has difficulty determining which product sells the most on the market. Making it difficult for the marketing department to offer products to be sold. PT. Terang Abadi Raya has various types of lighting products based on sales data for the last 1 year, using the K-Nearest Neighbor (K-NN) prediction to make it easier for companies to plan sales. To find out the best-selling sales using sales data classification and the K-Nearest Neighbor (K-NN) method, of the 19,290 items classified, the graphic results obtained were 12,420 categorized as best-selling labels, and 6,870 categorized as not-selling labels.

Copyrights © 2022






Journal Info

Abbrev

jsikti

Publisher

Subject

Computer Science & IT

Description

data analysis, natural language processing, artificial intelligence, neural networks, pattern recognition, image processing, genetic algorithm, bioinformatics/biomedical applications, biometrical application, content-based multimedia retrievals, augmented reality, virtual reality, information ...