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All Journal Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) International Journal Of Science, Technology & Management (IJSTM)
Indra Angkat, Chairul
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Journal : International Journal Of Science, Technology

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Implementation of K-Means Clustering for Inventory Projection Sitorus, Zulham; Syahputra, Irwan; Indra Angkat, Chairul; Sartika, Dewi
International Journal of Science, Technology & Management Vol. 5 No. 3 (2024): May 2024
Publisher : Publisher Cv. Inara Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i3.856

Abstract

Inventory forecasting is crucial in effective supply chain management and cost reduction. However, traditional forecasting techniques face significant challenges due to the complexity and variability of demand patterns. This study explores the use of K-means clustering, a data-driven approach that can improve inventory forecasting accuracy. By grouping inventory items based on their unique demand profiles, we can create personalized forecasting models for each cluster. This technique enhances demand estimation, helping businesses make informed decisions and optimize their inventory. Our research delves into the use of K-means clustering to identify patterns and similarities within historical demand data. This clustering process divides inventory items into groups with similar demand characteristics. By applying specific forecasting models to each cluster, we achieve greater precision in our predictions. The proposed methodology is rigorously evaluated using real-world inventory datasets, and the results demonstrate its significant superiority in forecasting accuracy compared to conventional non-clustered methods. This study offers compelling evidence and valuable insights for practitioners seeking to improve their inventory management practices through data-driven techniques.
Co-Authors DEWI SARTIKA Farta wijaya, Rian Hartono Sinambela, Sugi Irwan Syahputra, Irwan Khairul Khairul, Khairul Marzuki Sianturi, Ismail Muhammad Iqbal Sianturi, Ismail Marzuki Sitorus, Zulham