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All Journal Arcitech: Journal of Computer Science and Artificial Intelligence
Sukerman
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Computer Science & IT

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Perancangan dan Evaluasi Sistem Informasi Manajemen Aset Printer dan Toner Berbasis Web untuk Operasional Perusahaan Sukerman; Ramayanti, Desi
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 5 No. 2 (2025): December 2025
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v5i2.14651

Abstract

Printer asset and toner management in enterprises is often inefficient due to fragmented, manual procedures, which reduce data accuracy and slow operational decisions. Addressing this gap, this study designs and evaluates a web-based printer asset and toner management information system that integrates asset records, toner stock and request monitoring, and incident logging within a single platform with role-based access control. The system also provides dashboard summaries and reporting features to support near real-time monitoring and asset audits. Development followed an Agile methodology to enable rapid iterations driven by user feedback. Evaluation employed black-box testing and User Acceptance Testing (UAT) to verify functional correctness and workflow fit. Results indicate that the system operates as required and improves traceability and operational efficiency compared with the prior manual approach. The study contributes a replicable design and evaluation framework for integrated printer–toner asset management systems in organizations with similar operational characteristics.
Co-Authors Desi Ramayanti