Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Vol. 4 No. 2 (2025): February 2025

Design of a Web-Based Inventory Management System For Toko Fajar Mandiri Tani In Karangmulya, Suradadi

Maulidi, Muhammad Akwan (Unknown)
Aries Setyani Wahyu Prasetyawati (Unknown)



Article Info

Publish Date
15 Feb 2025

Abstract

This study addresses the problem of mismatched stock records and actual inventory levels in the warehouse of Toko Fajar Mandiri Tani, which often disrupts operations and customer service. To solve this, the study used data collection methods such as direct observations, interviews with staff, and literature review to build a strong foundation for the system design. The analysis of the current manual system identified its strengths and weaknesses, which became the basis for developing a new solution. The result is a web-based inventory management system that helps record, monitor, and report stock levels in real-time. The system implementation showed significant benefits, including improved accuracy in inventory data, reduced risks of overstocking or understocking, and better stock order recommendations. Additionally, the automated inventory reporting feature supports faster and more informed decision-making. This system not only records stock but also streamlines the overall operational management of the store. The findings of this study offer a practical technological solution to help small and medium-sized businesses manage their inventory effectively.

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Journal Info

Abbrev

JAIEA

Publisher

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering

Description

The Journal of Artificial Intelligence and Engineering Applications (JAIEA) is a peer-reviewed journal. The JAIEA welcomes papers on broad aspects of Artificial Intelligence and Engineering which is an always hot topic to study, but not limited to, cognition and AI applications, engineering ...