Smart Attendance System with QR Code and Location Verification for Student Monitoring and Analytics

This study developed and evaluated a Smart Attendance System that integrates QR code scanning and GPS-based location verification to improve the accuracy, efficiency, and integrity of student attendance monitoring in an academic institution. Traditional attendance procedures, such as manual roll calls and paper-based records, are often time-consuming, prone to human error, and vulnerable to proxy attendance. To address these concerns, the proposed system requires students to scan a session-specific QR code while physically located within a predefined geographic boundary. The study employed a developmental research design with descriptive evaluation. System-generated data, including student identifiers, timestamps, attendance status, GPS coordinates, and scan logs, were used to assess system functionality and attendance validation. The system was implemented through a mobile application for students and a web-based administrative panel for instructors. Functional testing showed that the major system modules performed according to expected use cases, including login, QR scanning, location validation, duplicate scan detection, invalid attempt rejection, and real-time log viewing. Attendance validation results showed that the dual-verification mechanism recorded valid attendance entries and rejected invalid location, invalid QR, and duplicate scan attempts. The usability evaluation yielded a mean System Usability Scale score of 81.25, indicating good usability and acceptable user experience. The findings suggest that combining QR code technology with location verification can support more reliable, efficient, and data-driven attendance management while observing privacy and ethical safeguards.