APLIKASI PRESENSI KEHADIRAN GURU DI SMKN PAKISJAYA BERBASIS FACE RECOGNITION MENGGUNAKAN OPENCV
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Jan 10, 2023
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The research objective was to design a teacher attendance application that has a camera feature to take pictures during teacher absences so that it can simplify and speed up attendance requests for absences from work, leave, permission and illness. The prototype method is used as a tool to develop a model into a system with stages which include; gathering requirements, building prototypes, evaluating, coding attendance systems, conducting testing, evaluating, and finally using presence applications to see the functions of the applications being built. The results of this study have produced a prototype of teacher presence at SMKN Pakisjaya based on face recognition using OpenCV and implementing the Local Binary Pattern Histogram (LBPH) as an algorithm for detecting faces from images.
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Ceme, D., Faizah, N., & Koryanto , L. (2023). APLIKASI PRESENSI KEHADIRAN GURU DI SMKN PAKISJAYA BERBASIS FACE RECOGNITION MENGGUNAKAN OPENCV. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 4(1), 1-7. https://doi.org/10.35870/jimik.v4i1.104
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References
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Lau, H., Faizah, N. and Ginting, W. 2022. Sistem Penunjang Keputusan Penerimaan Karyawan Baru di PT. Yudita Teratai Cakti Menggunakan Metode Profile Matching, Journal Innovations Computer Science, 1(2), pp. 109–117. DOI: https://doi.org/10.56347/jics.v1i2.73.
Yanto, A. and Faizah, N.M., 2022. Rancangan Aplikasi Sistem Reservasi Tamu Balai Besar Pelatihan Kesehatan Jakarta Kampus Hang Jebat Berbasis Web Dengan Metode Rapid Application Development (RAD). Journal Digital Technology Trend, 1(2), 62–71. DOI: https://doi.org/10.56347/jdtt.v1i2.47.
Kumar, P.M., Gandhi, U., Varatharajan, R., Manogaran, G. and Vadivel, T., 2019. Intelligent face recognition and navigation system using neural learning for smart security in Internet of Things. Cluster Computing, 22(4), pp.7733-7744. DOI: https://doi.org/10.1007/s10586-022-03929-0.
Oh, S.H., Kim, G.W. and Lim, K.S., 2018. Compact deep learned feature-based face recognition for Visual Internet of Things. The Journal of Supercomputing, 74(12), pp.6729-6741. DOI: https://doi.org/10.1007/s11227-017-2198-0.
Darmansah, D.D., Wardani, N.W. and Fathoni, M.Y., 2021. Perancangan Absensi Berbasis Face Recognition Pada Desa Sokaraja Lor Menggunakan Platform Android. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 8(1), pp.91-104. DOI: https://doi.org/10.35957/jatisi.v8i1.629.
Mahalim, J.A., Rahmatulloh, M.A., Febrianto, M.R. and Shabrina, N.H., 2020. Pengaplikasian Face Recognition 3 Dimensi Untuk Keamanan. Ultima Computing: Jurnal Sistem Komputer, 12(1), pp.35-39. DOI: https://doi.org/10.31937/sk.v12i1.1620.
Arifin, M., 2022. Sistem Pengamanan Mesin Atm Dengan Menggunakan Pengenalan Sidik Jari Dan Wajah Face Recognition Untuk Meminimalisir Cyberbanking Crime. OISAA Journal of Indonesia Emas, 5(1), pp.35-42. DOI: https://doi.org/10.52162/jie.2022.005.01.5.
Kusnadi, A., Pane, I.Z., Yaman Khaeruzzaman, V. and Clara, C., 2022. Ekstrasi Fitur Dan Pengenalan Wajah Konsep Dan Aplikasinya. CV Literasi Nusantara Abadi.
Tryatmojo, B. and Maryati, R.I.S., 2019. Akurasi Sistem Face Recognition OpenCV Menggunakan Raspberry Pi Dengan Metode Haar Cascade. Jurnal Ilmiah Informatika, 7(02), pp.92-98. DOI: https://doi.org/10.33884/jif.v7i02.1354.
Susim, T. and Darujati, C., 2021. Pengolahan Citra untuk Pengenalan Wajah (Face Recognition) Menggunakan OpenCV. Jurnal Syntax Admiration, 2(3), pp.534-545. DOI: https://doi.org/10.46799/jsa.v2i3.202.
Goyal, K., Agarwal, K. and Kumar, R., 2017, April. Face detection and tracking: Using OpenCV. In 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) (Vol. 1, pp. 474-478). IEEE. DOI: https://doi.org/10.1109/ICECA.2017.8203730.
Nagpal, G.S., Singh, G., Singh, J. and Yadav, N., 2018, October. Facial detection and recognition using OPENCV on Raspberry Pi Zero. In 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) (pp. 945-950). IEEE. DOI: 10.1109/ICACCCN.2018.8748389.
Bussa, S., Mani, A., Bharuka, S. and Kaushik, S., 2020. Smart attendance system using OPENCV based on facial recognition. Int. J. Eng. Res. Technol, 9(3), pp.54-59.
Kushal, M., BV, K.K., MJ, C.K. and Pappa, M., 2020, July. ID Card Detection with Facial Recognition using Tensorflow and OpenCV. In 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 742-746). IEEE. DOI: https://doi.org/10.1109/ICIRCA48905.2020.9183342.
Nag, A., Nikhilendra, J.N. and Kalmath, M., 2018, April. IOT based door access control using face recognition. In 2018 3rd International Conference for Convergence in Technology (I2CT) (pp. 1-3). IEEE. DOI: https://doi.org/10.1109/I2CT.2018.8529749.
Hernawan, Faizah, N. and Karo, P. K. 2022. Aplikasi Pemilihan Karyawan Terbaik pada PT. Ql Trimitra dengan Metode Analytical Hierarchy Process (AHP), Journal Innovations Computer Science, 1(2), pp. 84–93. DOI: https://doi.org/10.56347/jics.v1i2.71.
Saputro, J., Faizah, N.M. and Riyanto, A., 2022. Sistem Penunjang Keputusan Pengembalian Dana Tabungan Anggota Mutasi dan Pensiun Menggunakan Metode Analytical Hierarchical Process (AHP) Berbasis Android. Jurnal Indonesia: Manajemen Informatika dan Komunikasi, 3(2), pp.37-49. DOI: https://doi.org/10.35870/jimik.v3i2.85.
Sapdana, J. and Henryanto, Y., 2022. Implementation Expert System for Diagnosing Tuberculosis Using Dempster-Shafer Method. International Journal Software Engineering and Computer Science (IJSECS), 2(1), pp.26-32. DOI: https://doi.org/10.35870/ijsecs.v2i1.763.
Muammar, Salam, A., & Fathurrahmad., 2022. Aplikasi Pendataan Kader pada DPD Komite Nasional Pemuda Indonesia (KNPI) Aceh. Jurnal Indonesia: Manajemen Informatika dan Komunikasi, 3(2), pp.50-58. DOI: https://doi.org/10.35870/jimik.v3i2.86.