Perancangan Aplikasi Absensi Karyawan Dengan Deteksi Wajah Menggunakan Metode Eigenface


Authors

  • Susi Tamba Universitas Budi Darma, Medan, Indonesia

DOI:

https://doi.org/10.47065/jieee.v2i1.391

Keywords:

Eigenface; Eigenvector; Mean Introduction; Face; absenteeism; Matrix

Abstract

Attendance is one of the most important repetitive transactions, because it is related to the productivity of employees and is one of the indicators of controlling human resources (HR) which aims to increase the potential of human resources and is used for efficiency. Current technological developments make it possible to create a system that can assist humans in recognizing a digital image. One area that is currently being developed is pattern recognition. This technology identifies a person's special physical characteristics. Examples of pattern recognition, for example, are face recognition, iris recognition, and fingerprint recognition. specific databases. Broadly speaking, the process of facial recognition is that the webcam camera captures the face. Then obtained a value of R, G, B. By using the initial processing, after that the facial processing stage is carried out using the eigenface method. In this eigenface method there are several core stages, namely: converting faces into matrices, calculating the FlatVector average, determining the eigenface values ??and carrying out the face identification process by looking for the eigenface values ??that are close to it. One of these facial recognition can be developed to become an attendance application that can be applied in the company to prevent manipulation of absenteeism by employees.

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References

. Turk, M and Pentlant, A. (1991) Face RecognitionUsing Eigenfaces, Proc. IEEE Conf. of Computer Vision and Pattern Recognition , 13,586-591.

. Rinaldi Munir, Pengolahan Citra Digital dengan Pendekatan Algoritmik, penerbit Informatika, Bandung, 2004

. Al Fattah.H.2009. ”Rekayasa Sistem Pengenalan Wajah”. Yogyakarta : ANDI.

. Indra, (2012), Sistem Pengenalan Wajah Dengan Metode Eigenface, Journal pendidikan Teknologi-Informasi & Komunikasi Terapan, 138,2012.

. Jogiyanto (2005:196), Analisis dan Desain Sistem Informasi.

. Tata Sutabri (2004:9), Analisis Sistem Informasi.

. Drs.H. Malayu S.P. Hasibuan, (2008 : 84), Manajemen Sumber Daya Manusia.

. Yambor, W.S. (2000) Analysis of PCA-Based andFisher Discriminant-Based Image Recognition Algorithms, Tesis of Master, Colorado State University. Yourdon, Edward. 1989. Modern StructuredAnalysis. New Jersey : Prentice–HallInternational, Inc.

. Hermawati, Fajar Astuti (2013 : 4-5), “Pengolahan Citra Digital” Yogyakarta, Penerbit ANDI.

. Ni Wayan Marti, Pengenalan Citra Wajah Manusia Menggunakan metode Eigenface, Journal Pendidikan Teknik dan Kejuruan, 11,2010.

. http:// www.IlmuKomputer.Com 15 April 2013.

. http:// www.wikipedia.org/wiki/Webcam, 19 Sept 2009 12 Jan 2013.

. http://www.pages.drexel.edu/~sis26/Eigenface%20Tutorial.htm 12 Jan 2013.

. Beni Utomo, Matematika Eigenface Menggunakan Metrik Euclidean, journal pendidikan karakter dalam pembelajaran,2011.

. Kholistianingsih, Sistem Pengenalan Wajah menggunakan Metode Eigenface, Journal Pedidikan, 49-57, Desember 2012.

. Nopriyansyah, Muhammad Akbar, dan Helda Yudiastuti, Analisis Dan Perancangan Aplikasi Pengenalan Wajah Pada Citra Digital, Journal Ilmiah 1-20,April 2012.


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Published: 2022-09-30
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Issue

Vol. 2 No. 1 (2022): September 2022

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