Sistem Presensi Pengenalan Wajah Berbasis Web Menggunakan Algoritma MTCNN dan FaceNet

The development of web-based attendance systems using face recognition offers an alternative to conventional attendance methods. This study aims to develop a web-based student attendance system that utilizes face detection and face recognition techniques to facilitate the attendance recording process. The system integrates Multi-task Cascaded Convolutional Networks (MTCNN) for face detection and FaceNet for facial feature extraction and identity verification. The system is designed to identify registered students and record their attendance through a web interface. System functionality is evaluated using black-box testing, while face recognition performance is assessed through verification experiments. The proposed system is expected to improve the efficiency of attendance recording and reduce the potential for attendance fraud. The results of the implementation and evaluation are used to assess the feasibility of applying face recognition technology to web-based student attendance systems.