Publishing Journal • Journal of Artificial Intelligence and Data Engineering

Optimalisasi Sistem Inventaris dan Peminjaman Barang Lab Jaringan Kampus 1 Universitas Royal Berbasis Waterfall

DOI: 10.35870/pioaj.7928 Published: 31 December 2025 Pages: 31-45 (Vol. 2, No. 2) Views: 1
Authors & Researchers
D
Dimas Aditia Ramadhani Universitas Royal1
M
Mhd Amar Fauzy Harahap Universitas Royal2
A
Aldi Syahputra Universitas Royal3
D
Dimas Arya Bintara Universitas Royal4

Abstract

This study aims to develop a web-based information system to improve the management of inventory and equipment borrowing at the Network Laboratory of Universitas Royal Asahan. The system is designed to replace manual procedures that are prone to data errors, duplication, and time inefficiency. The system development adopts the Waterfall methodology, which includes requirement analysis, UML-based system design (Use Case, Class, Activity, and Sequence Diagrams), implementation using PHP, MySQL, and the CodeIgniter framework, as well as functional testing through the black-box method. The results show that the system provides core features such as inventory management, borrowing transactions, and automated reporting. System testing indicates improved data accuracy, a 70% increase in search efficiency, and enhanced transparency in laboratory asset management. Overall, the system enables a more organized, accountable administrative process and supports the campus digitalization program.

Indexing Journal

Journal of Artificial Intelligence and Data Engineering Cover

Journal of Artificial Intelligence and Data Engineering

ISSN: 3063-8534 Publisher: PT BERANDA TEKNOLOGI ACADEMIA