Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Ifdal Lisyukri
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementasi Algoritma K-Means Clustering untuk Pengelompokan Pola Permintaan Barang dalam Sistem Manajemen Inventori PT Semen Padang Ifdal Lisyukri; Melri Deswina
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.805

Abstract

This research aims to implement the K-Means Clustering algorithm in clustering patterns of goods demand in the inventory management system at PT Semen Padang. With the development of industrial technology and the need for an efficient inventory management system, this research identifies problems faced by the company, such as manual records that are prone to errors and delays. The developed web-based system allows real-time data integration, automation of the goods request process, and analysis of demand patterns using the K-Means algorithm. The results show that the implementation of this system can improve the efficiency of inventory management, minimize recording errors, and support better decision-making in the procurement of goods.
Co-Authors Melri Deswina