Sistem Presensi Berbasis Agoritma Eigenface Dengan Metode Principal Component Analysis

Main Authors: Wardoyo, Siswo, Wiryadinata, Romi, Sagita, Raya
Format: Article PeerReviewed Book
Bahasa: ind
Terbitan: Jurnal SETRUM , 2014
Subjects:
Online Access: https://eprints.untirta.ac.id/2708/1/12.%20BUKTI%20SETRUM.pdf
https://eprints.untirta.ac.id/2708/
Daftar Isi:
  • Presence is a collection of attendance, part of the reporting activities of an institution, the institution itself or components that contain attendance data compiled and arranged in a way that is easy to find and used at any time when required by the interested parties. Computer applications developed on Presence system is a computer application that can recognize someone's face just by using a webcam. Face recognition system using eigenface algorithm, using the resulting image via webcam and use the raw information from the pixel image which is then represented in the method of Principal Component Analysis (PCA). The results of testing the system using facial expressions presence, face accessories and distance variation, obtained sensivisitas 100%, a specificity of 55.55%, and 69.33% accuracy. Keywords: System of presence, eigenface, PCA.