INFORMATIKA
Vol. 6 No. 1 (2026): MEI : JURNAL INFORMATIKA DAN MULTIMEDIA

RANCANG BANGUN SISTEM PREDIKSI KETERSEDIAAN BARANG MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING UNTUK MENINGKATKAN EFISIENSI STOK PADA UMKM ALYA FOTOCOPY

Bangkit Sunarno (Universitas Pamulang)
Maulana Ardhiansyah (Universitas Pamulang)

Article Info

Publish Date
23 May 2026

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 

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Journal Info
INFORMATIKA
Website

Abbrev

JTIM

Publisher

Politeknik Pratama Purwokerto

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

Description

Jurnal Teknik Informatika dan Multimedia adalah jurnal ilmiah peer review yang diterbitkan oleh Politeknik Pratama Kendal. Jurnal Teknik Informatika dan Multimedia terbit dalam dua edisi dalam setahun yaitu edisi Mei dan Oktober. Kontributor Jurnal Teknik Informatika dan Multimedia berasal dari ...