Development of Smart Class Attendance System: Integration of Face Recognition and Cryptography for Web-Based Data Security

This study develops a web-based attendance system using face recognition and cryptography to enhance data security, tailored for smart class environments. The system records attendance automatically, encrypts data for security, and integrates with Moodle for both online and offline use. It is built using Moodle as the LMS and Laravel for face recognition and encryption. The system’s performance is tested under various conditions, demonstrating high accuracy in face recognition and effective data encryption. The findings suggest the system improves attendance recording efficiency and security, laying a foundation for future developments in data security using face recognition and cryptography.