Sistem Keamanan Pintu Cerdas Berbasis Rfid, Esp32-Cam, Dan Notifikasi Telegram
DOI:
https://doi.org/10.51903/elkom.v19i1.3797Keywords:
RFID, ESP32-CAM, IoT, Door Security, Reed SwitchAbstract
The security of home access is a critical aspect of asset protection and occupant safety. Conventional security systems using physical keys have weaknesses such as potential key loss, illegal duplication, and a lack of access records. This research develops Smart Door Guardian, an intelligent door security system that integrates RFID technology, the ESP32-CAM microcontroller, a servo motor lock mechanism, a reed switch sensor, and real-time notifications via the Telegram Bot API. The system operates by reading RFID cards; if registered, the servo motor rotates to unlock the door, and the ESP32-CAM captures and sends the user's image to the administrator. Conversely, forced entry attempts are detected by the reed switch, triggering an intruder's alert and photo capture. Test results show an RFID reading accuracy of 98.7%, an average photo notification speed of 2.3 seconds, and a 100% detection accuracy for forced entry at a 5 mm gap. This system provides an effective, low-cost IoT solution for room security.
References
Adi, P. D. P. (2022). Performance evaluation of ESP32 camera face recognition for various projects. Internet of Things and Artificial Intelligence Journal. https://doi.org/10.31763/iota.v2i1.512
Espressif Systems. (2023). ESP32 series datasheet (Version 4.1). Espressif Systems Documentation. https://www.espressif.com/sites/default/files/documentation/esp32_datasheet_en.pdf
Fakhruddin, A. (2024). Rancang bangun sistem keamanan pintu rumah berbasis Internet of Things dengan ESP32 dan aplikasi Blynk. E-Link: Jurnal Teknik Elektro dan Informatika. https://doi.org/10.30587/e-link.v19i1.7600
Fakhruddin, A., & Irawan, D. (2024a). Rancang bangun sistem doorlock berbasis Internet of Things dengan Telegram. Jurnal Sistem Cerdas dan Rekayasa, 6(1). https://doi.org/10.61293/jscr.v6i1.660
Fakhruddin, A., & Irawan, D. (2024b). Rancang bangun sistem keamanan pintu rumah berbasis Internet of Things dengan ESP32 dan aplikasi Blynk. E-Link, 19(1). https://journal.umg.ac.id/index.php/e-link/article/view/10770/5621
Intelligent lock system with facial recognition and fingerprint-based authentication applications. (2026). International Journal of AI Electronics and Nexus Energy, 2(2), 255–261. https://doi.org/10.64751/4qf11v82
Koroy, A. M., Mandar, G., & Muhammad, A. H. (2020). Rancang bangun sistem keamanan pintu rumah menggunakan ESP32-CAM. J-TIFA, 3(2). https://doi.org/10.52046/j-tifa.v3i2.1038
Kurniasari, A. A., Sudirman, M., Ramadan, A., Firmansyah, F., & Damayanti, N. (2023). Face recognition untuk smart door lock menggunakan metode Haar-Cascades classifier dan LBPH. Angkasa: Jurnal Ilmiah Bidang Teknologi. https://doi.org/10.28989/angkasa.v15i2.1662
Ma’muriyah, N., Yulianto, A., & Tymoden. (2024). Perancangan sistem smart door dengan notifikasi Telegram. Jurnal Mahajana Informasi, 8(2). https://doi.org/10.51544/jurnalmi.v8i2.4642
Monk, S. (2022). Programming Arduino: Getting started with sketches (3rd ed.). McGraw Hill.
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). https://doi.org/10.59562/jessi.v6i2.8456
NXP Semiconductors. (2016). MFRC522 standard performance MIFARE and NTAG frontend. 1–95.
Putra, R. H., & Ihsan, M. (2025). Rancang bangun sistem smart door lock berbasis ESP32-CAM. Pendas: Jurnal Ilmiah Pendidikan Dasar, 10(1). https://doi.org/10.23969/jp.v10i01.22872
Ramadhan, F., & Sari, M. (2024). Optimalisasi penggunaan modul ESP32-CAM untuk pengenalan wajah pada sistem kunci pintar. Jurnal Komputasi dan Informatika, 11(2), 98–105. https://doi.org/10.31294/jki.v11i2.21098
Salfian, M. W. (2025). Design of door security system using RFID based on IoT. Journal of Artificial Intelligence and Engineering Applications, 5(1). https://doi.org/10.59934/jaiea.v5i1.1367
Saputra, E., & Rahmawati, D. (2023). Sistem pengaman pintu rumah menggunakan RFID dan sensor reed switch berbasis NodeMCU. Jurnal Teknik Elektro dan Komputer, 12(2), 115–122. https://doi.org/10.35793/jtek.v12i2.45123
Setiady, K. W., & Ginting, J. A. (2023). Perancangan dan implementasi security dan sistem kendali otomatis smart home menggunakan NodeMCU. Jurnal Algoritma, Logika dan Komputasi, 6(1), 543–552. http://dx.doi.org/10.30813/j-alu.v6i1.3756.
Setiawan, B., & Nugroho, S. (2021). Penerapan metode interrupt pada mikrokontroler ESP32 untuk deteksi dini percobaan pembobolan rumah. Jurnal Elektronika dan Otomasi Industri, 8(2), 64–71. https://doi.org/10.25203/jeoi.v8i2.1122
Suryawinata, M. (2018). Buku ajar arsitektur dan organisasi komputer. Umsida Press.
Syafutra, H., et al. (2024). Implementasi sistem keamanan pintu otomatis berbasis face recognition di Proactive Robotic: Integrasi ESP32-CAM dan Telegram. Jurnal Riset Fisika Indonesia, 4(2). https://doi.org/10.33019/jrfi.v4i2.5380
Winarno, A., & Saputra, D. R. (2024). Home door security system with face recognition using the ESP32-CAM. BEST Journal of Applied Electrical Science and Technology, 6(2). https://doi.org/10.36456/best.vol6.no2.9588
Published
Issue
Section
License
Copyright (c) 2026 Elkom: Jurnal Elektronika dan Komputer
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
