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All Journal Infotech: Journal of Technology Information EBID:Ekonomi Bisnis Digital
Widjaya, Rendi
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Computer Science & IT Economics, Econometrics & Finance

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PENGEMBANGAN SISTEM INFORMASI PRESENSI BERBASIS ANDROID DENGAN TEKNOLOGI PENGENALAN WAJAH DAN GEOLOKASI UNTUK OPTIMALISASI PENGELOLAAN KEHADIRAN KARYAWAN Widjaya, Rendi; Sani, Asrul; Rizal, Rizal
EBID: Ekonomi Bisnis Digital Vol 2, No 2 (2024): Desember
Publisher : STMIK Widuri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/ebid.v2i2.332

Abstract

This study aims to develop an Android-based attendance information system by integrating facial recognition and geolocation technologies to enhance the accuracy and efficiency of employee attendance management. Facial recognition technology offers advantages in preventing fraud, such as proxy attendance, while geolocation ensures attendance can only be recorded at predefined locations. The research employs the Research and Development (R&D) method, including stages such as needs analysis, system design, application development, testing, and implementation. The results show that facial recognition achieves an average accuracy of 85.75%, with reduced performance under low-light conditions or when employees wear masks. The geolocation feature achieves an accuracy of 91.5% within a 30-meter radius, minimizing attendance from unauthorized locations. Attendance time per employee decreased from 50 seconds (manual) to 25 seconds (digital), improving efficiency by 50%. Employee attendance increased from 85% to 95%, with 100% elimination of proxy attendance cases. This system significantly improves attendance management, providing a more effective, transparent, and accurate process that positively impacts employee productivity and discipline.
REGULA FORENSICS FACE SDK SEBAGAI SISTEM ABSENSI BERBASIS PENGENALAN WAJAH PADA PLATFORM ANDROID Widjaya, Rendi; Irwansyah, Irwansyah; Rizal, Rizal; Budiyantara, Agus; M, Tupan Tri
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.554

Abstract

Attendance is one of the important activities in organizational management, especially in the fields of education and business. Until now, attendance systems are still mostly done manually with signatures or ID cards. However, these methods are prone to fraud, such as buddy punching or data manipulation. This study aims to develop a facial recognition-based attendance system on the Android platform using Regula Forensics Face SDK. Test results at thresholds of 70%, 85%, and 90% show that the 85% threshold provides the best compromise, with a False Acceptance Rate (FAR) of 0% and a False Rejection Rate (FRR) of 14.3%. In conclusion, a facial recognition-based attendance system can be implemented on the Android platform using the Regula Forensics Face SDK. This technology has been proven to improve security and efficiency in Android attendance systems. In addition, this technology offers an accurate, fast, and secure biometric solution through flexible integration with Flutter. Despite technical and licensing limitations, this technology is still feasible for implementation in modern attendance systems.
Co-Authors Asrul Sani Budiyantara, Agus Irwansyah Irwansyah M, Tupan Tri Rizal Rizal