Sistem Presensi Menggunakan Algoritme Eigenface dengan Deteksi Aksesoris dan Ekspresi Wajah
Abstract: Attendance is the
documentation of presence and activity in institution. A software has been made
to monitor the attendance using face recognition. The software uses camera to
capture the image and works on any background color. The aim of this paper is
to calculate its performance with sensitivity, specificity, and accuracy using
Eigenface Algorithm and Principal Component Analysis (PCA) method. Face
recognition in this paper is based on Eigenface algorithm, using pixel
information from images captured by webcam. The image is represented using PCA
method. The software is tested using different expressions and accessories in
object’s face. The performance of the software indicates 73.33%sensitivity,
52.17% specificity, and 86.67% accuracy. The successful rate in identifying the
face for distance testing is 70%, while successful rate of 85% is achieved for
object wearing eyeglasses and veil (jilbab). Furthermore, the successful rate
for various expression is 85.33%.
Penulis: Romi Wiryadinata, Umi
Istiyah, Rian Fahrizal, Priswanto, Siswo Wardoyo
Kode Jurnal: jptlisetrodd170482
