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All Journal RESLAJ: RELIGION EDUCATION SOCIAL LAA ROIBA JOURNAL
Fikri Firmansyah
Universitas Sultan Ageng Tirtayasa
Religion Economics, Econometrics & Finance Education Social Sciences

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Prototype Face Attendance System Berbasis Raspberry PI Menggunakan Metode Eigenface di Program Studi Pendidikan Vokasional Teknik Elektro Untirta Fikri Firmansyah; Desmira Desmira; Endi Permata; Didik Aribowo
Reslaj : Religion Education Social Laa Roiba Journal Vol 5 No 5 (2023): Reslaj: Religion Education Social Laa Roiba Journal
Publisher : LPPM Institut Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (938.275 KB) | DOI: 10.47467/reslaj.v5i5.2331

Abstract

Face recognition is one of the pattern recognition approaches for the purposes of identifying a person's face with a biometric approach. From this biometric pattern, it can be used as a means to identify the presence of a student. Assisted by the Raspberry Pi, this facial recognition can be done and it can be concluded whether the biometric pattern matches or not. This suitability will be a reference to indicate the presence of a student. So a Raspberry Pi-based Prototype Face Attendance System was made using the Eigenface method. Eigenface is an algorithm that works based on Principle Component Analysis (PCA). Tests were carried out by testing 30 students with a total of 30 photo samples per individual resulting in an accuracy value of 78.85% and error value is 21.15%.
Co-Authors Desmira Desmira Didik Aribowo Endi Permata