Pemanfaatan Teknik Pengenalan Wajah Berbasis Opencv untuk Sistem Informasi Pencatatan Kehadiran Dosen

Authors

  • Moh. Farid Wajdi Fakultas Teknik Universitas Hamzanwadi
  • Jagad Sugiantara Fakultas Teknik Universitas Hamzanwadi

DOI:

https://doi.org/10.29408/jit.v1i2.903

Keywords:

face recognition, OpenCV, Java, design science, Technology Acceptance Model (TAM)

Abstract

Human face recognition (human face recognition) is a major branch in the field of biometric verification in addition to the introduction of eye retina, fingerprints and signature patterns and its application has been widely used in various network security system applications, door control systems, to the benefit of attendance recording system. The current study aims to utilize facial recognition techniques as data input for information systems that record the presence of lecturers at the Hamzanwadi University Faculty of Engineering. The technology base for developing the system support software is OpenCV and the Java programming language. This research was conducted with the design-science for IS research method that emphasizes the build and evaluate cycles. The build phase will be carried out using object-oriented rules while the evaluate stage is carried out by adopting the Technology Acceptance Model (TAM) framework.

DOI : 10.29408/jit.v1i2.903

References

Chuttur, M., 2009. Overview of the Technology Acceptance Model: Origins , Developments and Future Directions. Sprouts: Working Papers on Information Systems, 9(2009), pp.1–23. Available at: http://sprouts.aisnet.org/9-37.

Dwiprasetyo, J. & Hariadi, M., 2012. Pengenalan wajah dan komputer vision 1,2. , 2012(Semantik), pp.215–221.

Hevner, A.R. et al., 2004. Design Science in Information Systems Research 1. MIS Quarterly, 28(1), pp.75–105.

Kar, N. et al., 2012. Study of Implementing Automated Attendance System Using Face Recognition Technique. , 1(2).

Kurniawan, A. & Saleh, A., 2012. Kata kunci :Aplikasi Absensi Kuliah Berbasis identifikasi Wajah Menggunakan Gabor Wavelet. ITS-paper, 27230, p.6.

Margono, A.W., Gunawan, I. & Lim, R., 2004. Pelacakan dan Pengenalan Wajah Menggunakan Metode Embedded Hidden Markov Model. Jurnal Informatika Teknik Informatika UK Petra, 5(1), pp.22–31.

Muliawan, M.R. et al., 2015. Implementasi Pengenalan Wajah dengan metode Eigenface pada Sistem Absensi. , 03(1).

Pandya, J.M., Rathod, D. & Jadav, J.J., 2013. A Survey of Face Recognition approach. , 3(1), pp.632–635.

R, L.P. & rara Ayu, 2013. Aplikasi Model TAM terhadap Pengguna Layanan Internet Banking. Magister, Program Manajemen, Program Studi Pascasarjana, Program Udayana, Universitas, pp.1–84.

Slavkovic, M. & Jevtic, D., 2012. Face recognition using eigenface approach. Serbian Journal of Electrical Engineering, 9(1), pp.121–130. Available at: http://www.doiserbia.nb.rs/Article.aspx?ID=1451-48691201121S.

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Published

30-07-2018

How to Cite

Wajdi, M. F., & Sugiantara, J. (2018). Pemanfaatan Teknik Pengenalan Wajah Berbasis Opencv untuk Sistem Informasi Pencatatan Kehadiran Dosen. Infotek: Jurnal Informatika Dan Teknologi, 1(2), 96–106. https://doi.org/10.29408/jit.v1i2.903

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