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All Journal Jurnal Informatika Universitas Pamulang JIKA (Jurnal Informatika) Idealis : Indonesia Journal Information System Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Ticom: Technology of Information and Communication Jurnal Pengabdian Masyarakat Tekno
Indah Puspasari Handayani
Universitas Budi Luhur
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Principal Component Analysis and Regional Coordinates on Face Recognition in Mobile-Based Attendance Systems Handayani, Indah Puspasari; Pradana, Rizky
Jurnal Informatika Universitas Pamulang Vol 9 No 1 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i1.33362

Abstract

The pattern of attendance in the world of work after the Covid-19 outbreak that hit the world, has apparently brought quite big changes, due to the taboo on gathering and using shared media which is considered a medium for the spread of bacteria/viruses. The way out of this is to use facial recognition and collaborate with location coordinates using a mobile application that can be used on each smartphone to authenticate workers in changing the characteristics of presence data, so that the presence process cannot be represented. The method used for face recognition in this research is Principal Component Analysis (PCA) by linearly transforming eigenvalues ​​and eigenvectors from extraction and reduction of faces captured from the mobile presence application. Based on the trials carried out, the success rate reached 78,667% for testing the functionality and strength of facial recognition.
Co-Authors Anita Diana Anwar Rifa’i Dwi Achadiani Hadidtyo Wisnu Wardani Hafiz Ardyansyah Hardjianto, Mardi Irawati, Riri Nugraha Pratama Pradana, Rizky Riri Irawati Rizky Pradana, Rizky Rusdah Rusdah Saputra, Rayhan Febriyan Saputri, Ariandita Widi