PERBANDINGAN CNN DAN YOLO PADA SISTEM PENGENALAN WAJAH BERBASIS PRESENSI

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Published Apr 30, 2026
https://doi.org/10.56708/progres.v18i1.532
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Vol 18 No 1 (2026): April

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Nurfadillah
Program Studi Informatika, Universitas Muhammadiyah Makassar
Ida
Program Studi Informatika, Universitas Muhammadiyah Makassar
Darniati
Program Studi Informatika, Universitas Muhammadiyah Makassar
Rizki Yusliana Bakti
Program Studi Informatika, Universitas Muhammadiyah Makassar
Titin Wahyuni
Program Studi Informatika, Universitas Muhammadiyah Makassar
Muhammad Faisal
Program Studi Informatika, Universitas Muhammadiyah Makassar

Abstract

Face recognition based on image data has been widely applied in automated attendance systems; however, it still faces challenges related to accuracy and efficiency under varying lighting conditions and facial pose variations. This study aims to compare the performance of Convolutional Neural Network (CNN) and You Only Look Once (YOLO) methods for face detection and recognition in a deep learning–based attendance system. The dataset consists of facial images collected from students in a limited campus environment with several variations in viewpoint and illumination. The research stages include image preprocessing, training of CNN and YOLO models, and performance evaluation using accuracy, precision, recall, and computation time metrics. The experimental results indicate that YOLO outperforms CNN in terms of detection speed and performance stability, while CNN demonstrates competitive classification performance on limited datasets. This study provides empirical insights into the characteristics of both methods in attendance system scenarios and can serve as a reference for selecting appropriate models for real-world implementation. The main limitations of this study are the dataset size and the restricted data acquisition scope.

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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Nurfadillah, Ida, Darniati, Yusliana Bakti, R., Wahyuni, T., & Faisal, M. (2026). PERBANDINGAN CNN DAN YOLO PADA SISTEM PENGENALAN WAJAH BERBASIS PRESENSI. Jurnal Informatika Progres, 18(1), 93-101. https://doi.org/10.56708/progres.v18i1.532

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