Penerapan Sistem Lampu Jalan Automatis Berbasis Sensor Cahaya Dengan Integrasi IoT
- Mhd Rizki Syahputra Universitas Pembangunan Panca Budi, Indonesia
-
Andri Syahputra
*
Universitas Pembangunan Panca Budi,
Indonesia
- Mangiring Hokkop Kristofer Sitinjak Universitas Pembangunan Panca Budi, Indonesia
- Fitri Febriadi Turnip Universitas Negeri Medan, Indonesia
- Muhammad Habib Universitas Negeri Medan, Indonesia
Abstract
The development of Internet of Things (IoT) technology provides significant opportunities in automation systems, including public street lighting systems. Manual operation of street lights often causes energy waste because the lights remain active when unnecessary. This research aims to design and implement an automatic street lighting system based on light sensors integrated with IoT using NodeMCU ESP8266 and Light Dependent Resistor (LDR) sensors. The system is designed to automatically control the lights based on environmental light intensity and provide real-time monitoring through the Blynk application. The research method used is an experimental method involving hardware design, programming, implementation, and testing stages. The results show that the system can accurately detect changes in light intensity and automatically control the street lights according to environmental conditions. In addition, monitoring data can be displayed in real-time through the Blynk application via internet connectivity. The system also improves energy efficiency because the lights only operate when needed. Based on testing results, the system works properly, stably, and has potential applications in smart lighting and smart city infrastructure.
References
[2] K. Kimani, V. Oduol, and K. Langat, “Cyber security challenges for IoT-based smart grid networks,” International journal of critical infrastructure protection, vol. 25, pp. 36–49, 2019.
[3] S. M. Karahan, W. Vandenbruwaene, J. A. Castano, F. Van Bauwel, M. Van Loo, and J. Verwaeren, “Towards smart water monitoring: IoT-driven LSTM modelling for multi-step-ahead forecasting of river salinity dynamics,” J. Environ. Manage., vol. 394, p. 127437, 2025.
[4] M. Syukri and R. Mukhaiyar, “Alat Pendeteksi Formalin Pada Makanan Menggunakan IoT,” Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, no. 2, pp. 80–87, 2021.
[5] M. Syukri and R. Mukhaiyar, “Alat Pendeteksi Formalin Pada Makanan Menggunakan IoT,” Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, no. 2, pp. 80–87, 2021.
[6] H. Nasir, W. B. W. Aziz, F. Ali, K. Kadir, and S. Khan, “The implementation of IoT based smart refrigerator system,” in 2018 2nd International Conference on Smart Sensors and Application (ICSSA), IEEE, 2018, pp. 48–52.
[7] A. D. Dwivedi, G. Srivastava, S. Dhar, and R. Singh, “A decentralized privacy-preserving healthcare blockchain for IoT,” Sensors (Switzerland), vol. 19, no. 2, pp. 1–17, 2019, doi: 10.3390/s19020326.
[8] S. Parvin et al., “Smart food security system using iot and big data analytics,” in 16th International Conference on Information Technology-New Generations (ITNG 2019), Springer, 2019, pp. 253–258.
[9] M. K. Zuffo et al., “IoT in Brazil: An Overview From the Edge Computing Perspective,” Internet of Things–The Call of the Edge, pp. 307–339, 2022.
[10] A. I. Griva et al., “LoRa-Based IoT Network Assessment in Rural and Urban Scenarios,” Sensors, vol. 23, no. 3, p. 1695, 2023.
[11] G. Kaur, S. H. Gupta, and H. Kaur, “An Approach to Optimize LoRa Network Performance for Efficient IoT Applications,” Wirel. Pers. Commun., vol. 128, no. 1, pp. 209–229, 2023.
[12] A. Yazdinejad, A. Dehghantanha, R. M. Parizi, G. Srivastava, and H. Karimipour, “Secure intelligent fuzzy blockchain framework: Effective threat detection in iot networks,” Comput. Ind., vol. 144, p. 103801, 2023.
[13] H. Fauzy, S. Aryza, and A. S. Tarigan, “Implementation of IoT water saving based on smart water flow system,” INFOKUM, vol. 10, no. 1, pp. 649–658, 2021.
[14] N. Yadaiah, N. Ravi, and G. Shreya, “Development of iot based underwater drone for maritime security and surveillance,” in Advances in Systems Engineering: Select Proceedings of NSC 2019, Springer, 2021, pp. 667–675.
[15] N. Yadaiah, N. Ravi, and G. Shreya, “Development of iot based underwater drone for maritime security and surveillance,” in Advances in Systems Engineering: Select Proceedings of NSC 2019, Springer, 2021, pp. 667–675.
[16] P. Wibowo, S. A. Lubis, and Z. T. Hamdani, “Smart home security system design sensor based on pir and microcontroller,” International Journal of Global Sustainability, vol. 1, no. 1, pp. 67–73, 2017.
[17] IEEE, “Smart Street Lighting System Based on IoT Technology Using ESP8266,” IEEE Internet of Things Journal, vol. 10, no. 8, pp. 7452–7463, 2023.
[18] Elsevier, “Implementation of IoT-Based Automatic Street Lighting System Using LDR Sensor,” Sustainable Energy Technologies and Assessments, vol. 58, 2024.
[19] Springer, “Design and Monitoring of Smart Street Light System Using NodeMCU ESP8266,” Journal of Ambient Intelligence and Humanized Computing, vol. 15, no. 2, pp. 2145–2158, 2024.
[20] MDPI, “IoT-Based Smart Energy Management for Urban Lighting Systems,” Sensors, vol. 23, no. 14, pp. 1–19, 2023.
[21] IEEE, “Wireless Monitoring and Control System for Smart Public Street Lighting,” IEEE Access, vol. 8, pp. 223445–223457, 2021.
[21] Elsevier, “Real-Time Monitoring System for Smart Lighting Based on Internet of Things,” Measurement, vol. 211, 2023.
[22] MDPI, “Solar-Powered Smart Street Lighting System with IoT Monitoring,” Energies, vol. 17, no. 3, pp. 1–18, 2024.
[23] IEEE, “Implementation of Energy Saving Smart Lamp Using ESP8266 and Blynk Platform,” IEEE Region 10 Conference Proceedings, pp. 445–450, 2021.
Copyright (c) 2026 Mhd Rizki Syahputra, Andri Syahputra, Mangiring Hokkop Kristofer Sitinjak, Fitri Febriadi Turnip, Muhammad Habib
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
.png){kind=logo}
