📅 02 October 2025
DOI: 10.51903/teknik.v5i2.911

Penerapan Eigenface pada Sistem Absensi Wajah Berbasis Android di RSU Khalishah

Teknik: Jurnal Ilmu Teknik dan Informatika
Sekolah Tinggi Ilmu Ekonomi Studi Ekonomi Modern

📄 Abstract

The development of information technology has encouraged institutions, including hospitals, to adopt digital systems to improve operational efficiency. One important aspect is the employee attendance system, which previously relied on fingerprints. This method has limitations, such as difficulty detecting when fingers are not in ideal condition and causing queues during peak hours. This research aims to design and implement an Android-based attendance system using the Eigenface facial recognition method as a faster, safer, and more accurate alternative. Eigenface works by extracting facial features using Principal Component Analysis (PCA), thus being able to efficiently recognize individual identities. The system was developed with MySQL database integration and tested on employees of Khalishah General Hospital. The implementation results showed that the system can recognize faces with a good level of accuracy and increase the effectiveness of attendance recording. Furthermore, the use of facial-based attendance can minimize the potential for fraud and increase user comfort because it does not require physical contact. Thus, the Eigenface method has proven feasible to be implemented as a modern attendance solution to support employee attendance management in hospital work environments and other institutions.

🔖 Keywords

#employee attendance; facial recognition; Eigenface; Android; PCA.

â„šī¸ Informasi Publikasi

Tanggal Publikasi
02 October 2025
Volume / Nomor / Tahun
Volume 5, Nomor 2, Tahun 2025

📝 HOW TO CITE

Ahmad Fauzi; Hatta, Muhammad; Fahrudin, Rifqi, "Penerapan Eigenface pada Sistem Absensi Wajah Berbasis Android di RSU Khalishah," Teknik: Jurnal Ilmu Teknik dan Informatika, vol. 5, no. 2, Oct. 2025.

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