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Azzam Ma'ruf
, Indonesia Defense University, Bogor, Indonesia
Computer Science & IT

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RFID-based cadet access management system with face recognition and cctv integration Azzam Ma'ruf; Muhammad Azhar Prabukusumo; Eryan Ahmad Firdaus
Journal of Intelligent Decision Support System (IDSS) Vol 9 No 3 (2026): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v9i3.378

Abstract

Access control in a military campus environment demands records that are accurate, fast, and difficult to falsify, yet manual logbook recording at Unhan RI remained prone to error and identity fraud. This study designed and built SAKTI, a web-based integrated security access system whose novelty lies in unifying three components within a single transaction flow: RFID for initial identification, face recognition for biometric authentication, and event-based CCTV capture as tamper-proof visual evidence. Unlike prior dual-factor systems, this unified pipeline produces a real-time digital audit trail that links every access decision to a captured identity image and a centralised presence record. The system was developed using Rapid Application Development with a Laravel-MySQL backend and a Python worker for face verification and RTSP snapshot retrieval. Testing on fifty cadets achieved a hundred percent verification success rate, reduced processing time by 77.8 percent, and earned very good scores in User Acceptance Testing from both security personnel and cadets. SAKTI demonstrates a practical and scalable approach to enhancing physical security management, real-time identity verification, and forensic audit trail generation in military campus environments.
Co-Authors Eryan Ahmad Firdaus Muhammad Azhar Prabukusumo