JSAI (Journal Scientific and Applied Informatics)
Vol 7 No 3 (2024): November

IMPLEMENTASI METODE K-NEAREST NEIGHBOR UNTUK PREDIKSI PENJUALAN PRODUK RUMAH TANGGA TERLARIS

Sonita, Anisya (Unknown)
Ayu Lestari (Unknown)



Article Info

Publish Date
19 Nov 2024

Abstract

Household products in the Idola 2 Store certainly have a large number, making it difficult for the store to determine which products have the best selling sales. This research aims to determine the best-selling household products that are most likely to sell at Idola 2 Stores using the K-Nearest Neighbor (K-NN) method and to apply the K-Nearest Neighbor (K-NN) method to predict best-selling products by utilizing sales data. This research uses the RAD (Rapid Application Development) system development method which consists of several stages. The results of this study have created a system using the K-NN method in predicting the determination of best-selling household products. Based on the results of the K-NN method process in predicting the best-selling household products, it is obtained from 20 products, there are 5 products that are included in the best-selling household products, namely Motif Glass Jars, Plastic Jars, Foot Mats, Hanger and Multipurpose Shelves. From this data, the Idol 2 Store can predict what products are likely to have good sales or sell well in the next month.

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Journal Info

Abbrev

JSAI

Publisher

Subject

Computer Science & IT

Description

Jurnal terbitan dibawah fakultas teknik universitas muhammadiyah bengkulu. Pada jurnal ini akan membahas tema tentag Mobile, Animasi, Computer Vision, dan Networking yang merupakan jurnal berbasis science pada informatika, beserta penelitian yang berkaitan dengan implementasi metode dan atau ...