Pengembangan Sistem Kehadiran Pegawai Kantor Desa Klambir V dengan Menerapkan Teknik Eigenface Berbasis Face Recognition
DOI:
https://doi.org/10.30865/resolusi.v3i3.607Keywords:
Presence System; Face Recognition; Eigenface TechniqueAbstract
Attendance is a measuring tool to find out whether an employee or employees in an agency come to work at a certain time or not. This term is most often used for employees or clerks who work hourly hours. Employees or workers with hourly wages are usually paid according to the hours worked. Even if it looks different from other employees or full time employees. This study uses the eigenfaces technique as a result of transforming facial images into a set of facial characteristic features in the form of eigenvectors from the covariant matrices of the facial images. In the approach and recognition of faces, it is explained that eigenfaces do not see certain features on the face such as eyes, mouth, nose, etc. to detect and recognize faces. The results of the research by applying the eigenfaces technique to the employee attendance system by applying the eigenface technique based on face recognition are very effective in accuracy in at Klambir V Village Office.
Downloads
References
Z. Xie, J. Li, and H. Shi, “A Face Recognition Method Based on CNN,” J. Phys., 2019, doi: 10.1088/1742-6596/1395/1/012006.
S. Supiyandi and M. Zen, “Sistem Pendukung Keputusan Proses Kenaikan Jabatan dan Perencanaan Karir Pada PT. ABC Dengan Metode Profile Matching,” Algoritm. J. ILMU Komput. DAN Inform., vol. 3, no. 1, p. 55, Apr. 2019, doi: 10.30829/algoritma.v3i1.4439.
L. M. Kurniawan, “Metode Face Recognition untuk Identifikasi Personil Berdasar Citra Wajah bagi Kebutuhan Presensi Online Universitas Negeri Semarang,” Sci. J. Informatics, vol. 1, no. 2, pp. 210–220, 2014.
L. Fitria and M. Hermansyah, “Implementasi Face Recognitoan pada Basensi Kehadiran Mahasiswa Menggunakan Metode Hear Cascade Classifier,” J. Nas. Inform. dan Teknol. Jar., vol. 4, no. 2, pp. 0–6, 2020.
Nurhaedar, “Perancangan Sistem Informasi Absensi Kelas Berbasis QR Code Menggunakan PHP & MYSQL pada Kampus Polinas LP3I Alauddin Makassar,” Movere J., vol. 2, no. 2, pp. 63–78, 2020.
M. A. Turk and A. P. Pentland, “face Recognitoan Using Eigenfaces,” IEEE, 1991.
P. Viola and M. Jones, “Rapid Object Detection using a Boosted Cascade of Simple Features,” 2001.
L. W. Alexander, S. R. Sentinuwo, and A. M. Sambul, “Implementasi Algoritma Pengenalan Wajah Untuk Mendeteksi Visual Hacking,” E-Journal Tek. Inform., vol. 11, no. 1, 2017.
Z. Syahputra, “Implementasi Deteksi Wajah pada Sistem Absensi Dengan Menerapkan Teknik Face Recognition,” Semin. Nas. Teknol. Inf. Komun., 2022.
P. P. Y. Wardana, I. A. D. Giriantari, and M. Sudarma, “Aplikasi Verifikasi Wajah Untuk Absensi Pada Platform Android Dengan Menggunakan Algoritma Fisherface,” Teknol. Elektro, vol. 15, no. 2, pp. 45–52, 2016.
Subiantoro and Sardiarinto, “Perancangan Sistem Absensi Pegawai Berbasis WEB Studi Kasus?: Kantor Kecamatan Purwodadi,” vol. 6, no. 2, pp. 184–189, 2018.
Z. Syahputra, “Implementasi Kombinasi Metode Single Exponential Smoothing dan Fuzzy Time Series pada Studi Kasus Memprediksi Kapan Pemerintah Indonesia Mengizinkan Warganya Beraktiviitas Tanpa Masker,” J. Pengabdi. Kpd. Mayarakat, vol. 2, no. 2, pp. 72–78, 2021.
Z. Syahputra, “Website Based Sales Information System With The Concept Of Mvc (Model View Controller),” J. Mantik, vol. 4, no. 2, pp. 1133–1137, 2020.
I. Zufria, “Pemodelan Berbasis UML ( Unified Modeling Language ) dengan Strategi Teknik Orientasi Objek User Centered Design ( UCD ) dalam Sistem Administrasi Pendidikan Pemodelan Berbasis UML ( Unified Modeling Language ) dengan,” 2016.
A. G. U. I. Matlab, I. D. Kurniawati, I. A. Kusumawardhani, and M. Sc, “Implementasi Algoritma Canny dalam Pengenalan Wajah menggunakan Antarmuka GUI Matlab,” 2017.
T. Susim and C. Darujati, “Pengolahan Citra untuk Pengenalan Wajah (Face Recognition) Menggunakan Opencv,” J. Syntax Admiration, vol. 2, no. 3, pp. 534–545, 2021.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Pengembangan Sistem Kehadiran Pegawai Kantor Desa Klambir V dengan Menerapkan Teknik Eigenface Berbasis Face Recognition
ARTICLE HISTORY
Issue
Section
Copyright (c) 2022 Zulfahmi Syahputra
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
