Smart Door Handle Berbasis Internet of Things (IoT) dengan Sensor Touch Kapasitif dan Algoritma Fuzzy Logic
DOI:
https://doi.org/10.70340/jirsi.v5i1.262Keywords:
Smart Door Handle, IoT, capacitive sensor, fuzzy logic, Blynk, TelegramAbstract
The development of Internet of Things (IoT) technology offers opportunities to enhance home security through smart devices. This study aims to design and implement an IoT-based Smart Door Handle using a capacitive sensor and a magnetic mounting design that can be easily installed on door handles. The system is equipped with a fuzzy logic model capable of mapping capacitive sensor variables, such as signal amplitude, touch duration, and pattern changes, into real-time threat level decisions. In addition, the device is integrated with notification platforms, namely Blynk and Telegram, allowing users to receive door status information directly and monitor security even when they are away from the location. The test results show that the device can detect touches with adequate accuracy, update security status in real-time, and successfully send notifications to users. The system also allows user management through a web interface, accessible via PC/laptop using mDNS or IP address, and via smartphones using IP address. Based on testing, the system meets the design objectives in terms of monitoring, user management, and real-time notification.
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References
A. A. Laghari, H. Li, A. A. Khan, Y. Shoulin, S. Karim, and M. A. K. Khani, “Internet of Things (IoT) applications security trends and challenges,” Dec. 01, 2024, Springer Nature. doi: 10.1007/s43926-024-00090-5.
J. S. Sonamoni et al., “IoT-Based Smart Remote Door Lock and Monitoring System Using an Android Application †,” Engineering Proceedings, vol. 76, no. 1, 2024, doi: 10.3390/engproc2024076085.
A. Ahmed, S. Abdulkadir, J. Mohamed, S. A. Ali, M. Abdi, and S. A. Kahie, “Design and Implementation of an IoT based Smart Door Lock System,” in 2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS), IEEE, 2023, pp. 1–6.
H. Nam, K. H. Seol, J. Lee, H. Cho, and S. W. Jung, “Review of capacitive touchscreen technologies: Overview, research trends, and machine learning approaches,” Jul. 02, 2021, MDPI AG. doi: 10.3390/s21144776.
D. I. Setiawan, F. T. S. F. Titan, and N. A. Zen, “PENERAPAN TTP223 SEBAGAI SENSOR SENTUH UNTUK SISTEM PEMANGGIL PELAYAN DENGAN KONSEP NIRKABEL PADA MEJA MAKAN DI RESTORAN,” Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi, vol. 2, no. 2, pp. 57–65, 2025.
R. Moheimani, P. Hosseini, S. Mohammadi, and H. Dalir, “Recent Advances on Capacitive Proximity Sensors: From Design and Materials to Creative Applications,” C (Basel), vol. 8, p. 26, May 2022, doi: 10.3390/c8020026.
C. Kim, C. So-In, Y. Kongsorot, and P. Aimtongkham, “FLSec-RPL: a fuzzy logic-based intrusion detection scheme for securing RPL-based IoT networks against DIO neighbor suppression attacks,” Cybersecurity, vol. 7, no. 1, p. 27, 2024, doi: 10.1186/s42400-024-00223-x.
C. Ouyang, D. Liu, K. He, and J. Kang, “Recent advances in touch sensors for flexible displays,” IEEE Open Journal of Nanotechnology, vol. 4, pp. 36–46, 2022.
S. H. Wong and R. Sanudin, “IoT-Based Smart Home Door Lock Security System Using ESP32,” Evolution in Electrical and Electronic Engineering, vol. 5, no. 1, pp. 195–203, 2024.
T. Bayer and H. Richter, “Optical and Mechanical Sensor Integration for Wearable Devices,” Sens Actuators A Phys, vol. 341, p. 113579, 2022, doi: 10.1016/j.sna.2022.113579.
C. M. Torres-Hernandez and et al., “Smart Homes: A Meta-Study on Sense of Security and Home Automation,” Technologies (Basel), vol. 13, no. 8, p. 320, 2025, [Online]. Available: https://www.mdpi.com/2227-7080/13/8/320
H. Sebestyen, D. E. Popescu, and R. D. Zmaranda, “A literature review on security in the Internet of Things: Identifying and analysing critical categories,” Computers, vol. 14, no. 2, p. 61, 2025.
M. Q. Mehmood, M. S. Malik, M. H. Zulfiqar, M. A. Khan, M. Zubair, and Y. Massoud, “Invisible touch sensors-based smart and disposable door locking system for security applications,” Heliyon, vol. 9, no. 2, 2023.
J. Vegas, A. R. Rao, and C. Llamas, “Deep Learning System for User Identification Using Sensors on Doorknobs,” Sensors, vol. 24, no. 15, p. 5072, 2024, doi: 10.3390/s24155072.
F. Alghayadh and D. Debnath, “A hybrid intrusion detection system for smart home security,” in 2020 IEEE International Conference on Electro Information Technology (EIT), IEEE, 2020, pp. 319–323.
Q. Mi, H. Yu, Q. Xiao, and H. Wu, “Intrusion behavior classification method applied in a perimeter security monitoring system,” Opt Express, vol. 29, no. 6, pp. 8592–8605, 2021.
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