Journal of Informatics and Information Security
Vol. 7 No. 1 (2026): Juni 2026

Sistem Informasi Monitoring Kolektibilitas dan Manajemen Penagihan Piutang Koperasi Berbasis Web

Mochammad Guntur Ramadhan (Universitas Bhayangkara Jakarta Raya)
Dani Yusuf (Universitas Bhayangkara Jakarta Raya)
Dwi Budi Srisulistiowati (Universitas Bhayangkara Jakarta Raya)



Article Info

Publish Date
31 Jul 2026

Abstract

This research was motivated by the conventional receivable management process at Koperasi Konsumen Serba Usaha Desa Bersinar. The use of basic spreadsheet software for payment recording led to limitations in the real-time monitoring of members' collectability status and the absence of an early warning system for late payments, which hampered the cooperative's cash flow. The objective of this study was to design and develop a web-based information system for collectability monitoring and debt collection management. The system development employed the Waterfall method and Model-View-Controller (MVC) architecture, utilizing PHP and MySQL. The novelty of this system lies in the implementation of an automated classification function for five levels of collectability status (Current, Special Mention, Substandard, Doubtful, and Loss) by utilizing conditional logic and date manipulation based on the calculation of days past due (DPD). The functional testing results using the Black Box Testing method indicated that all application features operated in accordance with user requirement specifications. The implementation of this system assisted the cooperative in automating receivable risk monitoring and provided a technological blueprint to prevent the risk of non-performing loans in similar institutions. 

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Journal Info

Abbrev

jiforty

Publisher

Subject

Computer Science & IT

Description

Jurnal ini berisi tentang karya ilmiah hasil penelitian bidang ilmu komputer yang bertemakan: Artificial Intelligence, Blockchain Technology, Business Intelligence, Cloud Computing, Computer Architecture, Computer Vision, Database Systems, Deep Learning, Human Computer Interaction, Digital Forensic, ...