Pengembangan Sistem Absensi Digital Berbasis Deteksi dan Pengenalan Wajah di Jurusan Pendidikan Teknologi Informasi dan Komunikasi UNIMA

Serah Lihat Zalukhu; Yaser Destronom Telaumbanua; Smarnince Paulus Saladat; Agnes Putri Vestiliani Mendrofa

doi:10.33506/insect.v11i2.4529

Authors

Serah Lihat Zalukhu Program Studi Pendidikan Teknologi Informasi dan Komunikasi, Universitas Negeri Manado
Yaser Destronom Telaumbanua Program Studi Pendidikan Teknologi Informasi dan Komunikasi, Universitas Negeri Manado
Smarnince Paulus Saladat Program Studi Pendidikan Teknologi Informasi dan Komunikasi, Universitas Negeri Manado
Agnes Putri Vestiliani Mendrofa Program Studi Pendidikan Teknologi Informasi dan Komunikasi, Universitas Negeri Manado

DOI:

https://doi.org/10.33506/insect.v11i2.4529

Keywords:

Academic Environment, Digital Attendance, Face Detection, Face Recognition, Information System

Abstract

The growing capabilities of facial recognition technology have driven the innovation of digital attendance solutions, offering a more reliable alternative to conventional systems that tend to be inefficient and vulnerable to misuse. This research focuses on designing and applying a digital attendance system utilizing face detection and recognition at the Department of Information and Communication Technology Education, Universitas Negeri Manado. This is a research and development (R&D) study using the prototype method, in which the system is built using face encoding technology and the K-Nearest Neighbors (KNN) algorithm to detect and recognize users' faces through a webcam in real-time. The system was tested in real-world scenarios to evaluate accuracy, duplicate prevention, and system response time. The results showed that the system successfully recognized faces with 92% accuracy, prevented duplicate face registration, and recorded attendance quickly and automatically. The implemented web-based dashboard demonstrated strong performance in helping administrators oversee user information and attendance records. As a result, the system has proven to be effective in improving the precision and speed of attendance monitoring in academic environments, establishing itself as a modern solution that supports the digitalization of educational administration.

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