Publishing Journal • Journal of Artificial Intelligence and Data Engineering

Penerapan Metode K-Means untuk Mengklasifikasikan Penjualan Produk Olahraga Pada Toko Wan Toys & Sport

DOI: 10.35870/pioaj.7924 Published: 02 August 2025 Pages: 41-55 (Vol. 1, No. 2) Views: 1
Authors & Researchers
M
Marta Riama Uli Aritonang Universitas Royal1
M
Mhd. Anugrah Pramana Universitas Royal2
P
Putri Anggraini Dwiyanti Universitas Royal3

Abstract

Technological advances support digital transformation in sales data management. Wan Toys & Sport stores face difficulty understanding sales patterns, such as the highest sales months and most popular products. This research uses the K-Means clustering method with the CRISP-DM approach to group sports products based on their sales level. The analysis results show that this method is able to divide products into three categories: high, medium and low, thus providing strategic insight for stock management and marketing. Products with high sales are prioritized for stock, while products with low sales are targeted for promotion. This method effectively supports operational efficiency and data-based decision making at Wan Toys & Sport stores.  

Indexing Journal

Journal of Artificial Intelligence and Data Engineering Cover

Journal of Artificial Intelligence and Data Engineering

ISSN: 3063-8534 Publisher: PT BERANDA TEKNOLOGI ACADEMIA