Bulletin of Computer Science Research
Vol. 6 No. 1 (2025): December 2025

Pengembangan Sistem Informasi Manajemen Stok Barang Berbasis Web Untuk Meningkatkan Akurasi Pengelolaan Inventaris

Aditya Nugroho, Mohammad (Unknown)
Hermawan, Arief (Unknown)



Article Info

Publish Date
06 Dec 2025

Abstract

Manual inventory management often leads to various issues such as inaccurate recordkeeping, delays in procurement processes, and difficulties in monitoring stock levels in real time [9]. This study aims to develop a web- and mobile-based inventory management information system using the Waterfall method. The web system was developed using PHP and MySQL, while the mobile application was built using Flutter to provide flexible access for users. The main features of the system include recording incoming and outgoing goods, real-time stock monitoring, and automatic notifications when stock reaches a minimum threshold. The test results indicate significant performance improvements compared to the previous manual process. Based on quantitative evaluation, the accuracy of stock recording increased from 82% to 98% after implementing the system, while the time required to complete stock recap activities was reduced from an average of 45 minutes to 12 minutes per session. In addition, the automatic notification feature accelerated the procurement process—from an average of 6 hours after stock depletion to only 1–2 hours for follow-up actions. Blackbox testing also confirmed that all system functions operated correctly under both normal and error scenarios. With this system, inventory management becomes more structured, accurate, and efficient, supporting faster and data-driven decision-making.

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Journal Info

Abbrev

bulletincsr

Publisher

Subject

Computer Science & IT

Description

Bulletin of Computer Science Research covers the whole spectrum of Computer Science, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer ...