International Journal of Science and Technology (IJST)

Development and Performance Evaluation of a Web-Based Facial Recognition Attendance System for Higher Education Institutions

The web-based facial recognition attendance system, designed and evaluated in this project, provided an efficient, accurate, and secure means of taking attendance at J.H. Cerilles State College. Face-to-face identification can eliminate errors in manual and pen-and-paper recording, such as late manual logs and logbook signing for absent students. This system utilizes the 4D development model: Discover, Design, Develop, and Deploy for automating this traditional process. The web system is built with HTML, CSS, JavaScript, PHP, MySQL, and face-api.js for browser-based real-time face detection and recognition. Security for user login, face enrollment, automatic attendance recording, role-based management, and record export are among the main features of this system. In terms of system evaluation, the tests undertaken included alpha, beta, load, stress, compatibility, usability, and functionality testing. Analysis of these tests showed high user acceptance. The total weighted mean across these tests was 4.73, corresponding to Strongly Agree. The system demonstrated consistent response time and maintained accurate recognition performance with 30 users concurrently operating. Stress testing successfully identified 249/265 users, achieving 93.96% recognition accuracy during peak usage. Compatibility testing revealed that the system functions correctly in current web browsers like Google Chrome and Brave and includes proper privacy measures. The result shows that the system reduced the workload on admin staff, reduced attendance errors, and increased the transparency of the attendance system. We conclude that the web-based facial recognition attendance system is suitable and flexible to apply in a higher education system.