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All Journal INFORMATIKA
Bangkit Sunarno
Universitas Pamulang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

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RANCANG BANGUN SISTEM PREDIKSI KETERSEDIAAN BARANG MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING UNTUK MENINGKATKAN EFISIENSI STOK PADA UMKM ALYA FOTOCOPY Bangkit Sunarno; Maulana Ardhiansyah
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 6 No. 1 (2026): MEI : JURNAL INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v6i1.1616

Abstract

This study aims to design and build a web-based inventory availability prediction system using the K-Means Clustering algorithm to improve stock management efficiency at Alya Fotocopy MSME. The system processes historical inventory data to classify items into fast-moving, medium-moving, and slow-moving categories. The results show that the K-Means algorithm can assist business owners in making stock control decisions more accurately and efficiently. Keywords: K-Means, Inventory Prediction, Data Mining, MSME 
Co-Authors Maulana Ardhiansyah