INTEGRATED EMPLOYEE ATTENDANCE SYSTEM USING FACE RECOGNITION, LIVENESS DETECTION, GPS, AND QR CODE
Keywords:
Face Recognition, Liveness Detection, GPS, QR Code, Employee Attendance SystemAbstract
The contemporary shift towards flexible work models mandates a highly secure and reliable employee attendance system to combat time fraud and unauthorized clock-ins. This study addresses the limitations of conventional systems, such as fingerprint attendance used by companies like PT Global Mandiri Corporasindo, which fail to accommodate field employees efficiently and are susceptible to spoofing and location manipulation. This research aims to develop and test an integrated attendance system leveraging four security layers: Face Recognition for identity, Liveness Detection for presence verification, GPS for location boundary enforcement, and QR Code for session security. The system was developed using the Research and Development (R&D) method, following the Waterfall model, with data collected via system performance testing and scenario-based simulations. Key findings indicate that the integrated system achieved high accuracy in facial verification, successfully blocked fraudulent attempts using static media via Liveness Detection, and ensured employees were within designated work areas using precise GPS tracking. This multi-layered solution significantly enhances data integrity and operational efficiency, providing a robust framework for managing modern, dispersed workforces.
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Copyright (c) 2025 Abdul Aziz Muslim (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
