Article Sidebar
Downloads
Main Article Content
Abstract
Keywords
Article Details
Copyright (c) 2022 Jurnal Komputer TerapanÂ
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright info for authors
1. Authors hold the copyright in any process, procedure, or article described in the work and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors retain publishing rights to re-use all or portion of the work in different work but can not granting third-party requests for reprinting and republishing the work.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License 
References
- A. Saputra, M. Ansori, and D. Widiatmoko, ‘rancang bangun alat pendeteksi suhu tubuh otomatis dengan image processing menggunakan metode backpropagation’, Jurnal Elkasista, vol. 1, May 2020.
- World Health Organization, ‘Panduan Interim: Anjuran mengenai penggunaan masker dalam konteks COVID-19’. Jun. 05, 2020. [Online]. Available: https://www.who.int/docs/default-source/searo/indonesia/covid19/anjuran-mengenai-penggunaan-masker-dalam-konteks-covid-19-june-20.pdf
- V. Wiley and T. Lucas, ‘Computer Vision and Image Processing: A Paper Review’, Int. J. Art. Intell. Research, vol. 2, no. 1, p. 22, Jun. 2018, doi: 10.29099/ijair.v2i1.42.
- A. Arfa, Farid wajidi, and Sugiarto Cokrowibowo, ‘Deteksi Wajah Dengan Metode Local Binary Pattern Histogram Pada OpenCV Menggunakan Pemrograman Pyhton’, jcis, vol. 2, no. 1, Sep. 2020, doi: 10.31605/jcis.v2i1.773.
- A. Wenda, ‘Support Vector Machine untuk Pengenalan Bentuk Manusia Menggunakan Kumpulan Fitur yang Dioptimalkan’, j. sains. teknologi., vol. 11, no. 1, pp. 77–84, 2022.
- R. Yulianti, I. G. P. S. Wijaya, and F. Bimantoro, ‘Pengenalan Pola Tulisan Tangan Suku Kata Aksara Sasak Menggunakan Metode Moment Invariant dan Support Vector Machine’, J-Cosine, vol. 3, no. 2, Dec. 2019, doi: 10.29303/jcosine.v3i2.181.
- L. Novamizanti, N. V. De Lima, and E. Susatio, ‘Sistem Pengenalan Wajah 3D Menggunakan ICP dan SVM’, JTIIK, vol. 6, no. 6, p. 601, Dec. 2019, doi: 10.25126/jtiik.2019661609.
- M. R. Muliawan, B. Irawan, and Y. Brianorman, ‘Implementasi Pengenalan Wajah dengan Metode Eigenface Pada Sistem Absensi’, Jurnal Coding, Sistem Komputer Untan, vol. 3, no. 1, pp. 41–50.
- W. M. Saputra, H. A. Wibawa, and N. Bahtiar, ‘Pengenalan Wajah Menggunakan Algoritma Eigenface dan Euclidean Distance’, Journal of Informatics and Technology, vol. 2, no. 1, pp. 102–110.
- Suroso and S. K. Ermaya, ‘Pengenalan Citra Wajah dengan Metode Eigen Face Menggunakan Matlab 7.11.0.548’, Jurnal IPSIKOM, vol. 6, no. 1, Jun. 2018.
- H. Nalatissifa, W. Gata, S. Diantika, and K. Nisa, ‘Perbandingan Kinerja Algoritma Klasifikasi Naive Bayes, Support Vector Machine (SVM), dan Random Forest untuk Prediksi Ketidakhadiran di Tempat Kerja’, JIUP, vol. 5, no. 4, p. 578, Dec. 2021, doi: 10.32493/informatika.v5i4.7575.
- A. C. Khotimah, ‘Comparison Naïve Bayes Classifier, K-Nearest Neighbor And Support Vector Machine In The Classification Of Individual On Twitter Account’, Jurnal Teknik Informatika, vol. 3, no. 3, pp. 673–680, Jun. 2022.
- R. A. Rizal, I. S. Girsang, and S. A. Prasetiyo, ‘Klasifikasi Wajah Menggunakan Support Vector Machine (SVM)’, Riset dan E-Jurnal Manajemen Informatika Komputer, vol. 3, no. 2, Apr. 2019.
- A. Thariq and R. Y. Bakti, ‘Sistem Deteksi Masker dengan Metode Haar Cascade pada Era New Normal COVID-19’, justin, vol. 9, no. 2, p. 241, Apr. 2021, doi: 10.26418/justin.v9i2.44309.
- F. L. Ahmad, A. Nugroho, and A. F. Suni, ‘Deteksi Pemakai Masker Menggunakan Metode Haar Cascade Sebagai Pencegahaan COVID 19’, Journal Education of Electrical and Electronic Engineering, vol. 10, no. 1, Jul. 2021, doi: https://doi.org/10.15294/eej.v10i1.47861.
References
A. Saputra, M. Ansori, and D. Widiatmoko, ‘rancang bangun alat pendeteksi suhu tubuh otomatis dengan image processing menggunakan metode backpropagation’, Jurnal Elkasista, vol. 1, May 2020.
World Health Organization, ‘Panduan Interim: Anjuran mengenai penggunaan masker dalam konteks COVID-19’. Jun. 05, 2020. [Online]. Available: https://www.who.int/docs/default-source/searo/indonesia/covid19/anjuran-mengenai-penggunaan-masker-dalam-konteks-covid-19-june-20.pdf
V. Wiley and T. Lucas, ‘Computer Vision and Image Processing: A Paper Review’, Int. J. Art. Intell. Research, vol. 2, no. 1, p. 22, Jun. 2018, doi: 10.29099/ijair.v2i1.42.
A. Arfa, Farid wajidi, and Sugiarto Cokrowibowo, ‘Deteksi Wajah Dengan Metode Local Binary Pattern Histogram Pada OpenCV Menggunakan Pemrograman Pyhton’, jcis, vol. 2, no. 1, Sep. 2020, doi: 10.31605/jcis.v2i1.773.
A. Wenda, ‘Support Vector Machine untuk Pengenalan Bentuk Manusia Menggunakan Kumpulan Fitur yang Dioptimalkan’, j. sains. teknologi., vol. 11, no. 1, pp. 77–84, 2022.
R. Yulianti, I. G. P. S. Wijaya, and F. Bimantoro, ‘Pengenalan Pola Tulisan Tangan Suku Kata Aksara Sasak Menggunakan Metode Moment Invariant dan Support Vector Machine’, J-Cosine, vol. 3, no. 2, Dec. 2019, doi: 10.29303/jcosine.v3i2.181.
L. Novamizanti, N. V. De Lima, and E. Susatio, ‘Sistem Pengenalan Wajah 3D Menggunakan ICP dan SVM’, JTIIK, vol. 6, no. 6, p. 601, Dec. 2019, doi: 10.25126/jtiik.2019661609.
M. R. Muliawan, B. Irawan, and Y. Brianorman, ‘Implementasi Pengenalan Wajah dengan Metode Eigenface Pada Sistem Absensi’, Jurnal Coding, Sistem Komputer Untan, vol. 3, no. 1, pp. 41–50.
W. M. Saputra, H. A. Wibawa, and N. Bahtiar, ‘Pengenalan Wajah Menggunakan Algoritma Eigenface dan Euclidean Distance’, Journal of Informatics and Technology, vol. 2, no. 1, pp. 102–110.
Suroso and S. K. Ermaya, ‘Pengenalan Citra Wajah dengan Metode Eigen Face Menggunakan Matlab 7.11.0.548’, Jurnal IPSIKOM, vol. 6, no. 1, Jun. 2018.
H. Nalatissifa, W. Gata, S. Diantika, and K. Nisa, ‘Perbandingan Kinerja Algoritma Klasifikasi Naive Bayes, Support Vector Machine (SVM), dan Random Forest untuk Prediksi Ketidakhadiran di Tempat Kerja’, JIUP, vol. 5, no. 4, p. 578, Dec. 2021, doi: 10.32493/informatika.v5i4.7575.
A. C. Khotimah, ‘Comparison Naïve Bayes Classifier, K-Nearest Neighbor And Support Vector Machine In The Classification Of Individual On Twitter Account’, Jurnal Teknik Informatika, vol. 3, no. 3, pp. 673–680, Jun. 2022.
R. A. Rizal, I. S. Girsang, and S. A. Prasetiyo, ‘Klasifikasi Wajah Menggunakan Support Vector Machine (SVM)’, Riset dan E-Jurnal Manajemen Informatika Komputer, vol. 3, no. 2, Apr. 2019.
A. Thariq and R. Y. Bakti, ‘Sistem Deteksi Masker dengan Metode Haar Cascade pada Era New Normal COVID-19’, justin, vol. 9, no. 2, p. 241, Apr. 2021, doi: 10.26418/justin.v9i2.44309.
F. L. Ahmad, A. Nugroho, and A. F. Suni, ‘Deteksi Pemakai Masker Menggunakan Metode Haar Cascade Sebagai Pencegahaan COVID 19’, Journal Education of Electrical and Electronic Engineering, vol. 10, no. 1, Jul. 2021, doi: https://doi.org/10.15294/eej.v10i1.47861.