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Journal : Bulletin of Computer Science Research

Implementasi Algoritma K-Means Pada Sistem Persediaan Barang Khaliq, Achsyanul; Nawangsih, Ismasari; Majid, Annisa Maulana
Bulletin of Computer Science Research Vol. 6 No. 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i2.1017

Abstract

Inventory is an important component in a company's operational activities, especially in the trade sector, because it directly affects the smoothness of sales and the level of customer satisfaction. Unstructured inventory management can lead to stockpiling of goods, stock shortages, and inappropriate decision making. Maisa Building Materials Store located in Semerap, Kerinci Regency, Jambi, currently still records inventory manually, so the shop owner has difficulty in identifying items with high and low sales levels. This study aims to implement the K-Means Clustering algorithm in grouping inventory based on sales levels to support more effective and efficient stock management. The research method used is data mining with the stages of data collection, preprocessing, manual calculation of the K-Means algorithm, and implementation using RapidMiner software. The analyzed data amounted to 507 inventory items that have gone through a data cleaning process so that they are suitable for use in grouping. Grouping is done with two clusters, namely a cluster of goods with a low sales level and a cluster of goods with a high sales level. The results of the study indicate that 494 items, or 97.44 percent, fall into the low-sales cluster, while 13 items, or 2.56 percent, fall into the high-sales cluster. These results indicate that most products have relatively low sales turnover, while only a small proportion contribute significantly to total store sales. The information generated from this clustering process can be used as a basis for decision-making in inventory management, particularly in determining stocking priorities, stock control, and developing appropriate, data-driven marketing strategies.
Co-Authors Adi Rusdi Widya Adi Tio Ilhasa Agus Setiawan Agus Suwarno, Agus Ahmad Gunawan Ahmad Tholud Ahmad Tholud2 Ahmad, Asyari Al Bina, Fiqhy Faradisa Amali Amali Amali, Amali Andri Firmansyah Anggi Muhammad Rifa’i Annisa Maulana Majid Annisa Maulana Majid Antika Zahrotul Kamalia Antika Zahrotul Kamalia Ardi Gunawan Arfan, Ibnu Soffi Asep Arwan Sulaeman Asti Setyaningsih Asty Setyaningsih Avifah Dian Permatasari Badruzzaman, Aceng Budi Rahardjo, Sugeng Budiarto , Eko Budiarto, Eko Cecep Wiranto chandra H, Desy Djoko Nugroho Donny Maulana Edora Edora Edy Widodo Edy Widodo Elgi Ginanjar Fazri Setyawan Ferawati, Eva Gatot Tri Pranoto Hari Puji Saputro Indradewa, Rhian Ismamudi Ismamudi Ismamudi, Ismamudi Junisa Sahar Karina Imelda Khaliq, Achsyanul Kurniadi, Nanang Tedi Majid, Annisa Maulana Majid, Annisa Maulana Makarim, Ziddan Maulana Majid, Annisa Maulana, Donny Miftahul Jannah Miftakul Huda Muhamad Adhi Mukti Naya, Candra Pupung Purnamasari Pupung Purnamasari Putri Maharani, Nanda Rachmat Hidayat Rahardjo, Sugeng Budi Reza Puspita Riady, Sasmitoh Rahmad Rianti Kinasih Rismawati Sanudin Sanudin Sellina, Sesri Septian Arie Prayoga Sifa Fauziah Siti Rahayu SITI SETIAWATI Soer, U. Darmanto Soer, U. Darmanto Sri Rejeki Sugeng Budi Rahardjo Sugeng Budi Raharjo Suherman Suherman Sulaeman, Asep Arwan Supriyati . Suriyanti Susanto, Dede Agus Suwaryo, Niko Tedi, Nanang Tri Ngudi Wiyatno W, Wiyanto Wahyu Hadikristanto Widodo , Edy Widya, Adi Rusdi Wiyanto Wiyanto Wiyanto Wiyatno, Tringudi Zed, Etty Zuliawati Zuliawati zed, Etty