Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Vol. 5 No. 3 (2026): June 2026

Design of a Warehouse Inventory Management System Using FEFO Method in NUSA Niaga Multi-Tenant

Lina Nur Afifah (Universitas Amikom Purwokerto)
Aulia Hamdi (Informatics Engineering, Universitas Amikom Purwokerto, Indonesia)
Sri Rahayu (Informatics Engineering, Universitas Amikom Purwokerto, Indonesia)
Intan Nur Sifa (Informatics Engineering, Universitas Amikom Purwokerto, Indonesia)
Rizki Cahya Putri (Informatics Engineering, Universitas Amikom Purwokerto, Indonesia)
Purnia Setiawati (Informatics Engineering, Universitas Amikom Purwokerto, Indonesia)
Aulia Suryaning Tyas (Informatics Engineering, Universitas Amikom Purwokerto, Indonesia)
Mayza Nurul Khasanatun Nisa (Informatics Engineering, Universitas Amikom Purwokerto, Indonesia)



Article Info

Publish Date
15 Jun 2026

Abstract

Most village-based businesses still manage their inventory manually, from monitoring warehouse stock and generating reports and checking items based on expiration dates. This process is considered inefficient and carries the risk of errors in data recording and reporting. In the process of transferring inventory to the display on the web-based NUSA Niaga platform, the FEFO method is applied. Needs analysis, system design, design implementation, and system documentation were conducted. Literature review on management systems, the FEFO method, multi-tenant architecture, and RBAC were used for data collection. The system was designed to monitor inventory, manage products nearing expiration, record goods transfers, and implement multi-tenant functionality using flowcharts, ERDs, and DFDs. This system is expected to help manage BUMDes warehouse in a more connected and structured manner.

Copyrights © 2026






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 ...