Aug 2026· Jurnal Inovasi Teknologi Terapan· 0 citations· 13 references
TL;DR
A Raspberry Pi 4-based hybrid attendance-verification system with selectable facial and fingerprint recognition and supported local, automatic, and integrated attendance recording; however, facial-recognition performance decreased under low illumination.
Abstract
Attendance-data validity was essential to support accurate distribution of the Free Nutritious Meals Program. This study designed and implemented a Raspberry Pi 4-based hybrid attendance-verification system with selectable facial and fingerprint recognition. Experimental engineering was applied through device design, dataset preparation, software integration, and subsystem and integrated-system testing. Facial recognition used YOLOv5n as a trigger, MediaPipe for face detection, MobileFaceNet for embedding extraction, and cosine similarity for identity matching. The dataset produced 1,172 valid embeddings from 30 students. Testing achieved 100% fingerprint success, 100% face-detection success, and 94.7% facial-recognition accuracy. All five storage and web-dashboard functions operated as designed. The system supported local, automatic, and integrated attendance recording; however, facial-recognition performance decreased under low illumination.
Bono Village Office, Pakel District, Tulungagung Regency still uses a manual attendance system based on paper registers that is prone to data manipulation, proxy attendance, and recording inaccuracies, resulting in low levels of accountability and transparency in employee attendance. This study aims to develop a smart...
The study demonstrates that the proposed multi-sensor architecture can automate attendance recording and centralize attendance data, although biometric robustness and longer-duration testing remain necessary for further improvement.
Muthia Ananda· Jurnal Elektronika dan Tekni...· 0 citations
The implementation results indicate that HadiRin can support a more measurable attendance process and improve attendance accountability through the combination of location verification and selfie capture and further development can focus on strengthening system security through location anti-spoofing mechanisms and liv...
M. Yaasin, M. Bustasmi, Wahyu Nugraha et al.· Journal Computer Science and...· 0 citations
This research focuses on developing a system that supports face-recognition-based employee attendance as a solution to improve accuracy, efficiency, and security in attendance recording. The system consists of two types of users: Employees and Admins. The developed system provides main features such as registration, lo...
Asep Suherman, H. Herlina, Ninik Sri Lestari et al.· Saber· 0 citations
The proposed system is expected to support more effective monitoring of smoke-free areas by utilizing computer vision technology and was successfully integrated into the web application and capable of detecting cigarette smoke from both images and real-time video streams.
Farasi Zaki Alwana, R. Akbar, Ahmad Syaifuddin· Neptunus· 0 citations
Student attendance administration is a crucial process at Al-Quran Education Parks (TPA). In reality, many TPAs still conduct manual administration, as in the three TPAs surveyed in Bangka, making them vulnerable to data loss, inaccurate recording, and slow processing. The solution is to design an intelligent, inte...
Tiara Muqasonah, Hendra Hendra, Ocsirendi Ocsirendi et al.· Jurnal Inovasi Teknologi Ter...· 0 citations
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