Published: 2025-07-01
Smart Absen Siswa dan Guru dengan Menggunakan Computer Vision pada Mafatih Islamic School Tebet
DOI: 10.35870/jtik.v9i3.3792
Dadang Iskandar Mulyana, Sopan Adrianto, Muhammad Rifqi Syatria, Muhammad Rival, Rodhi Shafia Zaidan
- Dadang Iskandar Mulyana: Affiliation name not available , Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika , Indonesia
- Sopan Adrianto: Affiliation name not available , Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika , Indonesia
- Muhammad Rifqi Syatria: Affiliation name not available , Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika , Indonesia
- Muhammad Rival: Affiliation name not available , Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika , Indonesia
- Rodhi Shafia Zaidan: Affiliation name not available , Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika , Indonesia
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Abstract
An integrated technology-based attendance system was developed to address the inefficiencies of queuing and the dependency on manual input at Mafatih Islamic School. The proposed solution leverages a ResNet model within the dlib framework (Python) alongside a Laravel API for real-time face detection using a camera installed at the entrance. Data is temporarily stored in SQLite as an offline backup and later transmitted to the server in base64 format, accompanied by bounding box visualization as audit evidence.This system is capable of handling.
Keywords
Smart Attendance System ; Facial Recognition ; Computer Vision ; Student Attendance ; Educational Techno
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Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 9 No. 3 (2025)
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Section: Computer & Communication Science
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Published: %750 %e, %2025
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License: CC BY 4.0
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Copyright: © 2025 Authors
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DOI: 10.35870/jtik.v9i3.3792
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Dadang Iskandar Mulyana
Program Studi Teknik Informatika, Fakultas Teknik, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.
Sopan Adrianto
Program Studi Teknik Informatika, Fakultas Teknik, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.
Muhammad Rifqi Syatria
Program Studi Teknik Informatika, Fakultas Teknik, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.
Muhammad Rival
Program Studi Teknik Informatika, Fakultas Teknik, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.
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Arceo, A. J. C., Borejon, R. Y. N., Hortinela, M. C. R., Ballado, A. H., & Paglinawan, A. C. (2020). Design of an e-attendance checker through facial recognition using histogram of oriented gradients with support vector machine. Proceedings - 2020 IEEE 8th International Conference on Smart City and Informatization, iSCI 2020, 1-5. https://doi.org/10.1109/iSCI50694.2020.00008.
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Lin, Z. H., & Li, Y. Z. (2019). Design and implementation of classroom attendance system based on video face recognition. Proceedings - 2019 International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2019, 385-388. https://doi.org/10.1109/ICITBS.2019.00101.
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Mothwa, L., Tapamo, J. R., & Mapati, T. (2018). Conceptual model of the smart attendance monitoring system using computer vision. Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018, 229-234. https://doi.org/10.1109/SITIS.2018.00042.
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