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All Journal Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro
A.Syamsul Irfan Akbar, Lalu
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Computer Science & IT Electrical & Electronics Engineering Energy

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Sistem Presensi Mahasiswa Berbasis Android dengan Biometrik Wajah Menggunakan FaceNet dan Pembatasan Lokasi Berbasis GPS Grasanando, Arfando; A.Syamsul Irfan Akbar, Lalu; Cipta Ramadhani
DIELEKTRIKA Vol 13 No 1` (2026): DIELEKTRKA
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dielektrika.v13i1`.437

Abstract

Student attendance is essential in academic activities, yet conventional methods are prone to fraud, errors, and inefficiency. This study develops an Android-based attendance system integrating face recognition using FaceNet and GPS-based location validation within a client–server architecture. The system performs facial embedding extraction and identity verification using Cosine Similarity with a threshold of 0.7, while geofencing ensures valid attendance locations. Testing on 20 students shows an accuracy of 87.14%, precision of 100%, recall of 83%, and an F-score of 90.71%. GPS validation achieves 100% accuracy within a 10-meter radius. Robustness testing demonstrates stable performance under normal conditions and facial expression variations, with decreased performance under occlusions, extreme lighting, and motion. The system achieves an average processing time of 38.12 ms, indicating fast and responsive performance. These results show that the proposed system improves the accuracy, security, efficiency, and robustness of student attendance management.
Co-Authors Cipta Ramadhani Grasanando, Arfando