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All Journal Journal of Intelligent Decision Support System (IDSS)
Pingky Septiana
STMIK YMI Tegal, Indonesia
Computer Science & IT

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Application of the viola-jones algorithm method to recognize faces of Stmik Tegal students Muchamad Nauval Azmi; Bangkit Indarmawan Nugroho; Pingky Septiana; Gunawan Gunawan
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 1 (2024): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i1.214

Abstract

This study examines the application of the modified Viola-Jones algorithm for student facial recognition at STMIK YMI Tegal, aiming to improve the efficiency and safety of the student attendance system. By adapting the algorithm to address the challenge of facial recognition accuracy from different angles and lighting conditions, a quasi-experimental quantitative design involved collecting data through photographic sessions with student subjects, followed by preprocessing to improve the quality of the analysis. The modification was evaluated for its ability to handle variations in facial and lighting conditions, showing significant improvements with 60% accuracy and precision, recall, and an F1-score of 71.43%. These findings demonstrate the effectiveness of the modification in improving facial recognition, potentially contributing significantly to attendance management and safety practices in educational settings. This research not only strengthens the existing literature.
Co-Authors Bangkit Indarmawan Nugroho Gunawan Muchamad Nauval Azmi