Design and Development of IoT-Based Smart Street Lighting with Lighting Level Adjustment Based on Environmental Sensors

Raihan Dzaky; Milli Alfhi Syari; Husnul Khair

doi:10.59934/jaiea.v5i3.2430

Authors

Raihan Dzaky Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Kaputama, Binjai
Milli Alfhi Syari Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Kaputama, Binjai
Husnul Khair Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Kaputama, Binjai

DOI:

https://doi.org/10.59934/jaiea.v5i3.2430

Keywords:

ESP32, IoT, LDR, PIR, Smart Street Lighting

Abstract

This research discusses the design of an Internet of Things (IoT)-based Smart Street Lighting system that is able to adjust lighting levels automatically based on environmental conditions. The system is implemented on a garden lamp prototype by utilizing Light Dependent Resistor (LDR) and Passive Infrared (PIR) sensors as the main input in regulating lamp intensity. The ESP32 microcontroller is used as a control center as well as an IoT communication module for monitoring and controlling the system through a real-time web interface. The research method used is prototyping which includes hardware design, software development, implementation, and system testing. The test results show that the system is able to regulate lighting automatically, namely the lights turn off in bright conditions, turn on dimly when dark conditions with no activity, and turn on brightly when activity is detected. In addition, the web-based monitoring system successfully displays the status of the lights and sensors in real-time. The developed system can be a more efficient, adaptive outdoor lighting solution and supports the application of IoT technology in smart lighting systems.

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References

S. Dang et al., “Sky cooling for LED streetlights,” Light Sci. Appl., vol. 14, no. 1, Dec. 2025, doi: 10.1038/s41377-024-01724-7.

E. Dizon and B. Pranggono, “Smart streetlights in Smart City: a case study of Sheffield,” J. Ambient Intell. Humaniz. Comput., vol. 13, no. 4, pp. 2045–2060, Apr. 2022, doi: 10.1007/s12652-021-02970-y.

A. Omar et al., “Smart City: Recent Advances in Intelligent Street Lighting Systems Based on IoT,” 2022, Hindawi Limited. doi: 10.1155/2022/5249187.

A. Selay et al., “INTERNET OF THINGS,” 2022.

H. Prakash, “IOT Based Smart Street Light System,” INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, vol. 09, no. 06, pp. 1–9, Jun. 2025, doi: 10.55041/ijsrem50208.

N. Nurhayati and B. Maisura, “Pengaruh Intensitas Cahaya Terhadap Nyala Lampu dengan Menggunakan Sensor Cahaya Light Dependent Resistor,” CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro, vol. 5, no. 2, p. 103, Sep. 2021, doi: 10.22373/crc.v5i2.9719.

S. I. Putri and S. Sudarti, “Analisis Intensitas Cahaya di Dalam Ruangan dengan Menggunakan Aplikasi Smart Luxmeter Berbasis Android,” Jurnal Materi dan Pembelajaran Fisika, vol. 12, no. 2, p. 51, Oct. 2022, doi: 10.20961/jmpf.v12i2.51474.

E. O. Amuta et al., “Motion Detection System Using Passive Infrared Technology,” in IOP Conference Series: Earth and Environmental Science, Institute of Physics, 2024. doi: 10.1088/1755-1315/1342/1/012001.

J. Nausicaa, “Smart Street Lighting System using IoT and Cloud Computing,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 9, no. VI, pp. 5014–5018, Jun. 2021, doi: 10.22214/ijraset.2021.36068.

M. Füchtenhans, E. H. Grosse, and C. H. Glock, “Smart lighting systems: state-of-the-art and potential applications in warehouse order picking,” 2021, Taylor and Francis Ltd. doi: 10.1080/00207543.2021.1897177.

W. A. Jabbar, T. K. Keat, F. A. Dael, L. C. Hong, Y. F. M. Yussof, and A. Nasir, “Optimising urban lighting efficiency with IoT and LoRaWAN integration in smart street lighting systems,” Discover Internet of Things, vol. 5, no. 1, Dec. 2025, doi: 10.1007/s43926-025-00163-z.

A. Wantoro, S. Samsugi, and M. Joko Suharyanto, “Sistem Monitoring Perawatan dan Perbaikan Fasilitas PT PLN (Studi Kasus : Kota Metro Lampung),” vol. 15, no. 1, 2021.

A. Wiesesha and A. Ridhoi, “RANCANG BANGUN MONITORING LISTRIK PADA RUMAH BERBASIS IOT MENGGUNAKAN ESP32.”

D. Chattejee, C. Chakraborty, and S. Dalapati, “Pulse-width Modulation Techniques in Two-level Voltage Source Inverters - State of the Art and Future Perspectives,” Power Electronics and Drives, vol. 8, no. 1, pp. 335–367, Jan. 2023, doi: 10.2478/pead-2023-0023