Rancang Bangun Aplikasi Absensi Hybrid dengan Qr Code dan Face Recognition untuk Siswa Sekolah Menengah Atas

DALA, Yohanes Adriano (2026) Rancang Bangun Aplikasi Absensi Hybrid dengan Qr Code dan Face Recognition untuk Siswa Sekolah Menengah Atas. Undergraduate thesis, Universitas Katolik Widya Mandira.

	Text ABSTRAK.pdf Download (927kB)
	Text BAB I.pdf Download (215kB)
	Text BAB II.pdf Restricted to Repository staff only Download (323kB)
	Text BAB III.pdf Restricted to Repository staff only Download (633kB)
	Text BAB IV.pdf Restricted to Repository staff only Download (1MB)
	Text BAB V.pdf Restricted to Repository staff only Download (430kB)
	Text BAB VI.pdf Download (132kB)
	Text DAFTAR PUSTAKA DAN SURAT BEBAS PLAGIAT.pdf Download (894kB)

Abstract

Manual attendance systems in schools often lead to fraud, recording errors, and delayed reporting. This research successfully developed a web-based hybrid attendance system that combines dynamic QR codes and facial recognition as dual-factor authentication to enhance accuracy, security, and efficiency. The system was developed using the Waterfall methodology, with Laravel as the backend framework and Python (using the face_recognition library based on dlib) for face detection. QR codes are generated temporarily per schedule session, while user identity is verified in real-time via the device’s camera. The results demonstrate a fully functional system encompassing management of teacher, student, and class data; scheduling; automatic and manual attendance; and reporting. Testing confirms the system effectively prevents proxy attendance, achieves 91.7% facial recognition accuracy, responds within 2.1 seconds per student, and implements role-based access control, making it suitable for implementation in educational administration.

Actions (login required)

View Item