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All Journal International Journal of Multilingual Education and Applied Linguistics
Muhammad Naufal Ardhani
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Arts Computer Science & IT Education Languange, Linguistic, Communication & Media Public Health Social Sciences

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Implementation of Automatic Attendance System Based on Face Recognition Using CNN Method in IPB University Vocational School Environment Dini Nurul Azizah; Raisa Mutia Thahir; Luthfi Dika Chandra; Muhammad Naufal Ardhani; Endang Purnama Giri; Gema Parasti Mindara
International Journal of Multilingual Education and Applied Linguistics Vol. 1 No. 4 (2024): November : International Journal of Multilingual Education and Applied Linguist
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmeal.v1i4.94

Abstract

The research focuses on creating an automated attendance system using face recognition through the Convolutional Neural Network (CNN) approach at IPB University's Vocational School. The current manual attendance methods show limitations, such as potential inaccuracies in recording and the risk of cheating, like attendance proxies. To overcome these challenges, this study applies the CNN approach with Python and OpenCV, enabling automatic face detection and recognition for students. The system accurately logs attendance by identifying faces in real time. Testing indicates that the system records attendance reliably, whether with a single individual or with multiple faces present within a single frame.
Co-Authors Dini Nurul Azizah Endang Purnama Giri Gema Parasti Mindara Luthfi Dika Chandra Raisa Mutia Thahir