Aug 2026· Journal Computer Science and Applied Technology· 0 citations· 10 references
TL;DR
The implementation results indicate that HadiRin can support a more measurable attendance process and improve attendance accountability through the combination of location verification and selfie capture and further development can focus on strengthening system security through location anti-spoofing mechanisms and liveness detection.
Abstract
Paper-based attendance and conventional systems such as cards, RFID, and fingerprint devices still have limitations in preventing attendance fraud, verifying employee presence in real time, and supporting workers who operate outside a single attendance-machine location. This study aims to design and develop HadiRin, a web-based digital attendance system that combines location verification and selfie capture in a single attendance flow, while also providing digital leave and permission submission and approval by HRD/Admin. The software was developed using the Prototyping method through requirements gathering, rapid design, prototype evaluation, revision, and implementation. The system uses the browser Geolocation API and MediaDevices API on the client side and a relational database on the server side. Functional evaluation using black-box testing based on scenarios and data obtained from actual system usage showed that multi-role authentication, check-in/check-out, location validation, photo capture, leave submission, HRD/Admin approval, and employee data management operated as expected. The implementation results indicate that HadiRin can support a more measurable attendance process and improve attendance accountability through the combination of location verification and selfie capture. Further development can focus on
strengthening system security through location anti-spoofing mechanisms and liveness detection.
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The developed system is considered valid and capable of improving the efficiency and accuracy of attendance management, simplifying attendance monitoring, and supporting faster, more accurate, and well-structured report generation.
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