RANCANG BANGUN SISTEM ABSENSI BERBASIS PENGENALAN WAJAH MENGGUNAKAN ALGORITMA YOU ONLY LOOK ONCE (YOLO) Design and Implementation of a Facial Recognition-Based Attendance System Using the You Only Look Once (YOLO) Algorithm

Pambudi, Irfan Bagus Setya (2025) RANCANG BANGUN SISTEM ABSENSI BERBASIS PENGENALAN WAJAH MENGGUNAKAN ALGORITMA YOU ONLY LOOK ONCE (YOLO) Design and Implementation of a Facial Recognition-Based Attendance System Using the You Only Look Once (YOLO) Algorithm. Undergraduate thesis, Universitas 17 Agustus1945 Surabaya.

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Abstract

Attendance tracking is a crucial process in educational institutions for monitoring academic participation. While many institutions have adopted digital systems, a significant number still rely on manual methods, leading to issues such as time inefficiency and supervisory challenges. To address these problems, the use of modern technology—specifically a face recognition-based attendance system—is required. Face recognition works by matching a facial image captured by a camera against an image stored in a database. This study employs the You Only Look Once (YOLO) algorithm with a transfer learning approach as a face detection method based on Convolutional Neural Networks (CNN). Validation data yielded a precision of 1, a recall of 1, an mAP50 of 0.995, and an F1-score of 1. Meanwhile, testing data showed a precision of 0.904, a recall of 0.713, an mAP50 of 0.854, and an F1-score of 0.79. Testing also revealed that system performance is influenced by distance, lighting, and the direction of the face. Optimal detection occurred at a distance of approximately 30 cm, with adequate lighting and the face oriented directly toward the camera. However, the system is not yet capable of detecting spoofing attempts, such as presenting a photograph to the camera. Therefore, integrating additional security features like liveness detection is necessary to enhance the system's reliability.

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