Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Insect (Informatics and Security): Jurnal Teknik Informatika
Mendrofa, Agnes Putri Vestiliani
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Pengembangan Sistem Absensi Digital Berbasis Deteksi dan Pengenalan Wajah di Jurusan Pendidikan Teknologi Informasi dan Komunikasi UNIMA Zalukhu, Serah Lihat; Telaumbanua, Yaser Destronom; Saladat, Smarnince Paulus; Mendrofa, Agnes Putri Vestiliani
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4529

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.
Co-Authors Saladat, Smarnince Paulus Telaumbanua, Yaser Destronom Zalukhu, Serah Lihat