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All Journal QISTINA: Jurnal Multidisiplin Indonesia
Hutahean, Harvei Desmon
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Religion Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing

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Rancang Bangun Sistem Absensi Otomatis Berbasis Pengenalan Wajah Menggunakan Model CNN Pretrained pada Platform Web Armando, Gali; Simangunsong, Marta Aulia; Mediansyah, Teguh Arif; Harahap, Zulkaidah; Rahelta, Cristina Elseria; Hutahean, Harvei Desmon; Syahputra, Fahmy; Sabrina, Elsa
QISTINA: Jurnal Multidisiplin Indonesia Vol 4, No 2 (2025): December 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v4i2.7555

Abstract

Conventional attendance methods often lead to queues, time inefficiency, and potential violation of health protocols, necessitating a fast, non-contact, and real-time attendance recording system. This research aims to design and implement a web-based attendance system as a local prototype using face recognition biometrics. The system was developed using Python with the Flask Framework and OpenCV. The core face recognition process combines Dlib's Pretrained CNN model for 128-dimensional feature vector extraction (face embedding) and the K-NN method for classification based on Euclidean Distance calculation. Testing results indicate that the system successfully performs accurate and real-time facial identification. The system is capable of automatically logging attendance times, providing audio feedback, and storing the attendance data recapitulation in an Excel (.xlsx) file. Thus, this system provides an effective and efficient non-contact attendance solution.
Co-Authors Armando, Gali Harahap, Zulkaidah Mediansyah, Teguh Arif Rahelta, Cristina Elseria SABRINA, ELSA Simangunsong, Marta Aulia Syahputra, Fahmy