RANCANG BANGUN SISTEM LOG AKSES KE RUANG SERVER BERBASIS IoT MENGGUNAKAN PENGENALAN WAJAH
DOI:
https://doi.org/10.23969/jp.v11i02.48752Keywords:
3-Dimensional Media, Thematic Teaching Materials, Books About The Solar SystemAbstract
This study aims to design and implement an Internet of Things (IoT)-based server room access logging system using facial recognition technology. Conventional security systems such as mechanical locks and access cards have several limitations, including vulnerability to loss, duplication, and unauthorized access, as well as the absence of automatic activity logging. Therefore, this research proposes an integrated system that combines facial recognition for authentication with real-time access logging and monitoring. The system utilizes ESP32-CAM as an image acquisition device, while face detection is performed using the Haar Cascade method and identification is conducted using cosine similarity. Data collection was carried out by capturing 50 facial images per registered user at a distance of approximately 30 cm with variations in facial angles. The system was tested under real operational conditions, showing an average accuracy of 91% with a response time of approximately 1–2 seconds. In addition, the system successfully records access activities, including access status and user data, which can be monitored through a web-based interface. The results indicate that the proposed system can improve server room security by providing automated authentication, access control, and real-time monitoring in an integrated manner.
Downloads
References
Andreas, Aldawira, C. R., Putra, H. W., Hanafiah, N., Surjarwo, S., & Wibisurya, A. (2019). Door security system for home monitoring based on ESP32. Procedia Computer Science, 157, 673–682. https://doi.org/10.1016/j.procs.2019.08.218
Ariansyah, W., Ilham, D. N., Khairuman, & Candra, R. A. (2021). Opening doors using Internet of Things (IoT) based face recognition. Brilliance: Research of Artificial Intelligence, 1(2). https://doi.org/10.47709/brilliance.v1i2.1095
Bolimera, R., Karthick, S., Karthikeya, S., Kumar, V. A., & Siddhartha, R. S. (2025). ESP32-CAM face detection automatic door lock. International Journal of Data Science, IoT and Management Systems, 4(4(2)), 107–111. https://doi.org/10.64751/ijdim.2025.v4.n4(2).pp107-111
Cesar, F., Jahuira, A., Salas, D. C., & Suarez, J. T. (2024). IoT-based smart glasses assistance system with facial recognition. International Journal of Electrical and Electronics Engineering, 11(12), 287–294. https://doi.org/10.14445/23488379/IJEEE-V11I12P126
Chen, Z. (2023). A study on the CNN-based face recognition across various facial angles. Applied and Computational Engineering, 35, 265–271. https://doi.org/10.54254/2755-2721/35/20230404
Harun, N. B., & Zainal, M. S. B. (n.d.). Development of face recognition smart door lock system using ESP32-CAM and Telegram application as media control and monitoring. Progress in Engineering Application and Technology, 4(2), 35–48. https://publisher.uthm.edu.my/periodicals/index.php/peat/article/view/10586
Khadafi, M., Pardede, A. M. H., & Sembiring, H. (2024). Design of a guest face detection tool using ESP32-CAM based on Internet of Things (IoT). Journal of Artificial Intelligence Engineering and Applications, 4(1), 124–130. https://doi.org/10.59934/jaiea.v4i1.578
Koteswaramma, N., Ananthula, N., Raju, N., Rajeshwari, R., & Mounika, B. (2022). IoT based door access control system using ESP32cam. [Conference Proceedings].
Nannung, J., Miru, A. S., Muliadi, & Gunawan. (2025). Development of an IoT-based home security system prototype using multisensors and ESP32-CAM. Journal of Embedded Systems, Security and Intelligent Systems, 6(2), 168–177. https://doi.org/10.59562/jessi.v6i2.8456
Nur, M., Sulistyowati, H. S., Nurrohman, A., & Saleh, U. B. (2024). Penerapan face recognition untuk model smart security. Jurnal Informatika dan Sistem Informasi, 2(1), 152–166.
Obasi, C., & Tahir, K. M. (2025). A real-time smart door access control system using Haar Cascade Classifier and embedded vision. International Journal of Data Informatics and Intelligent Computing, 4(3), 14–22. https://doi.org/10.59461/ijdiic.v4i3.208
Putra, A., Susilo, M., Darlis, D., & Nurmantris, D. A. (2021). Pengenalan wajah berbasis ESP32-CAM untuk sistem kunci sepeda motor. Jurnal Teknik Elektro, 8(2), 1091–1103.
Sirait, A., & Siddik, M. (2025). Implementasi algoritma cosine similarity dalam pengenalan. JOISIE (Journal of Information Systems and Informatics Engineering), 9(1), 1–17. https://doi.org/10.35145/joisie.v9i1.4772
Silalahi, L. M., Simanjuntak, I. U. V., Rizki, R. B., & Fajri, N. (2024). Penerapan metode Haar Cascade terhadap objek botol menggunakan ESP32-Cam. Jurnal Pendidikan dan Teknologi Indonesia, 4(6), 269–276. https://doi.org/10.52436/1.jpti.457
Sutikno, T., Ainur, M., Ubaidillah, F., Arsadiando, W., & Purnama, H. S. (2024). Fingerprint based smart door lock system using Arduino and smartphone application. Computer Science and Information Technologies, 5(1), 91–98. https://doi.org/10.11591/csit.v5i1.pp91-98
Syafutra, H., Aziz, T. M. N., Novianty, I., Irmansyah, I., Chusnu, M., & Prayoga, D. (2024). Implementasi sistem keamanan pintu otomatis berbasis face recognition di Proactive Robotic: Integrasi ESP32-Cam dan Telegram. Jurnal Riset Fisika Indonesia, 4(2), 65–74. https://doi.org/10.33019/jrfi.v4i2.5380
Win, H. P. P., Khine, P. T. T., & Tun, K. N. N. (2021). Face recognition system based on convolution neural networks. International Journal of Image, Graphics and Signal Processing, 13(6), 23–29. https://doi.org/10.5815/ijigsp.2021.06.03
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Pendas : Jurnal Ilmiah Pendidikan Dasar
This work is licensed under a Creative Commons Attribution 4.0 International License.
