RANCANG BANGUN SISTEM ABSENSI DENGAN FACE RECOGNITION BERBASIS WEB

Abstract

The attendance process that still uses a manual system is considered, the method is still ineffective because, when carrying out the attendance process, errors can occur. The attendance system with technology can be applied easily when taking attendance in class and saves time so that teaching activities in class are smoother. In this study, the system used is a facial recognition system. Facial recognition is carried out by implementing face-api.js, which implements several CNNs (Convolution Neural Networks) to detect and recognize faces. While the data needed is nis, student name, class and a dataset of related facial photos. The results of the system built are successful in identifying each student who has been registered. As well as recapitulating attendance data. The process was successfully carried out with good lighting, resulting in accurate facial recognition. With an accuracy of 93%, the distance> 75 cm is considered effective in taking attendance.