Implementasi Face Recognition pada Absensi Kehadiran Mahasiswa Menggunakan Metode Haar Cascade Classifier

Implementasi Face Recognition pada Absensi Kehadiran Mahasiswa Menggunakan Metode Haar Cascade Classifier

Face Recognition, Face Detection, Multiple Face Recognition, Absensi, Haar Cascade Classifier

Face recognition is on of the biometric system that is most used today. The biometric system
with face recognition can be applied in the attendance process. Attendance is a very useful factor
for various purposes and is one of the most important valuation criteria in an institution. As well
as in the educational world, attendance is also very important to know and control the discipline
of the students. Currently, the attendance process is still carried out manually and judged less
effectively, so that in this research will be carried out attendance process with face recognition
that is considered capable to efficiencies recording time Presence. The method used on this
research is the Haar Cascade Classifier. There are 125 face training data from 25 students who
have been inputed into the system. Testing is done by the recognition of one face and multiple
face recognition at once. The results of this research showed that the level of one face
recognition with 25 data testing face obtained 76%, while the level of many faces recognition
obtained 33.3%.

Munawir, Liza Fitria, Muhammad Hermansyah

Perpustakaan Horizon Karawang

2019

Fajar bagus W

PDF

Indonesia

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