Sistem Pendukung Keputusan Persediaan Besi Menggunakan Metode Economic Order Quantity Berbasis Web Dengan Validasi Kapasitas Gudang
DOI:
https://doi.org/10.70340/jirsi.v5i3.519Keywords:
Decision Support System, Economic Order Quantity, Inventory Management, Warehouse Capacity, Reorder PointAbstract
Inventory management that relies solely on the owner's intuition without a mathematical basis often leads to two classic problems: overstock that freezes working capital and stockout that eliminates revenue potential. This problem becomes more complex when the physical warehouse capacity is not considered in procurement decisions. This study aims to design and develop a web-based Decision Support System (DSS) implementing the Economic Order Quantity (EOQ) method to generate optimal order quantity (Q*) and Reorder Point (ROP) recommendations, while integrating the physical warehouse capacity of 504 m³ as a validation parameter. The novelty of this research lies in incorporating physical volume per item unit (m³) as a warehouse capacity constraint within the web-based DSS, differentiating it from conventional EOQ implementations. The system was built using PHP with a MySQL database following the Waterfall development model. Black Box Testing across 21 scenarios on 5 main modules yielded entirely valid results. Manual calculation validation on 15 steel products confirmed that Q* and ROP values produced by the system are identical to theoretical calculations. The system also successfully auto-detects products exceeding warehouse capacity and notifies the user.
Downloads
References
J. Heizer, B. Render, and C. Munson, Operations Management: Sustainability and Supply Chain Management. Pearson, 2023.
Y. ; N. E. ; G. N. Gulo, “Pengendalian Persediaan Barang Dagang Menggunakan Metode Economic Order Quantity (EOQ) Pada Toko Besi Sadarman Di Kota Gunungsitoli,” Jurnal Ilmiah Mahasiswa Ekonomi (JIMEK), vol. 5, no. 1, 2022.
I. , & W. K. Ramadhan, “Penerapan Metode Economic Order Quantity (EOQ) dalam Mengatasi Keterbatasan Ruang Penyimpanan Gudang pada UMKM,” Jurnal Logistik dan Rantai Pasok Indonesia, vol. 3, no. 1, pp. 12–25, 2026.
W. J. Stevenson, Operations Management. McGraw-Hill, 2022.
R. A. Putra and D. Wijaya, “Analisis Pengendalian Persediaan Menggunakan Metode EOQ,” Jurnal Manajemen Industri, vol. 9, no. 2, pp. 101–110, 2024.
A. , & S. D. Pratama, “Optimasi Persediaan Material Konstruksi dengan Metode EOQ dan Safety Stock untuk Menghindari Stockout,” Jurnal Teknik Industri Terintegrasi, vol. 5, no. 1, pp. 22–30, 2022.
R. , & S. B. Hidayat, “Analisis Pengendalian Persediaan Barang Dagang Menggunakan Metode Economic Order Quantity (EOQ) pada Toko Bangunan XYZ.,” Jurnal Sistem Informasi dan Manajemen, vol. 11, no. 2, pp. 145–156, 2023, doi: 10.37602/jsim.v11i2.115.
P. A. Nugroho, M. F. Rizal, B. Sujatmiko, and H. Sucipto, “SISTEM PENDUKUNG KEPUTUSAN UNTUK OPTIMALISASI STOK BARANG DI BEEZY PETSHOP DENGAN PENDEKATAN FUZZY-AHP,” Pondasi: Journal of Applied Science Engineering, vol. 2, no. 1, pp. 32–41, Jun. 2025, Accessed: Feb. 21, 2026. [Online]. Available: https://journal.alshobar.or.id/index.php/pondasi/article/view/346
R. Sharda, D. Delen, and E. Turban, Analytics, Data Science, & Artificial Intelligence. Pearson, 2023.
A. ; & S. D. Mustaqim, “Analisis Pengujian Sistem Informasi Menggunakan Metode Black Box Testing untuk Penjaminan Mutu Perangkat Lunak,” Jurnal Teknik Informatika Universitas Hasyim Asy’ari, vol. 14, no. 2, pp. 112–125, 2026.
M. , & F. L. Sari, “Analisis Perbandingan Manajemen Stok Konvensional dan Metode EOQ dalam Meminimalkan Total Inventory Cost,” Jurnal Riset Akuntansi dan Keuangan, vol. 13, no. 1, pp. 40–52, 2025.
T. Connolly and C. Begg, Database Systems: A Practical Approach to Design, Implementation, and Management. Pearson, 2017.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Mochamad Iqbal Ramadhan, Bambang Sujatmiko

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.







