Prototype Design and Development of an IoT-Enabled Monitoring and Control System for Public Street Lighting

Authors

  • Dirja Nur Ilham Politeknik Aceh Selatan, Indonesia Author
  • Rudi Arif Candra Politeknik Aceh Selatan, Indonesia Author
  • Arie Budiansyah Universitas Syiah Kuala, Indonesia Author
  • Zulfan Universitas Syiah Kuala, Indonesia Author

DOI:

https://doi.org/10.62671/perfect.v2i1.53

Keywords:

Public street lighting, IoT, LoRa, MQTT

Abstract

This research discusses the Internet of Things (IoT)-based Public Street Lighting (PJU) system to improve energy efficiency and remote monitoring. The background problem is the need to improve operational efficiency and energy savings in the PJU system. This final project aims to design and test an IoT-based PJU system that transmits real-time data between nodes and gateways using LoRa technology and the MQTT protocol. The research process involves hardware and software design, as well as system testing under various conditions. The tests measured the data transmission time and analyzed the delay using LED indicators on the gateway and dashboard devices. The test results showed significant variations in data transmission time compared to the programmed time. The programmed transmission time was 10 seconds for node 1 and 20 seconds for node 2, but the test results showed an average time of about 15 seconds for node 1 and 21.89 to 36.02 seconds for node 2. This variation is due to factors such as network communication delay, processor load, and LoRa system efficiency.

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Published

2025-06-21

How to Cite

Ilham, D. N., Candra, R. A., Budiansyah, A., & Zulfan, Z. (2025). Prototype Design and Development of an IoT-Enabled Monitoring and Control System for Public Street Lighting. PERFECT: Journal of Smart Algorithms, 2(1), 16-22. https://doi.org/10.62671/perfect.v2i1.53

How to Cite

Ilham, D. N., Candra, R. A., Budiansyah, A., & Zulfan, Z. (2025). Prototype Design and Development of an IoT-Enabled Monitoring and Control System for Public Street Lighting. PERFECT: Journal of Smart Algorithms, 2(1), 16-22. https://doi.org/10.62671/perfect.v2i1.53