MONITORING DAN KENDALI PENERANGAN JALAN UMUM (PJU) BERBASIS LONG RANGE (LORA)

MONITORING AND CONTROL OF PUBLIC STREET LIGHTING (PSL) USING LONG RANGE (LORA) TECHNOLOGY

Penerangan Jalan Umum (PJU) memiliki peran penting dalam menunjang keselamatan dan kenyamanan pengguna jalan, terutama pada malam hari. Sistem PJU konvensional umumnya masih menggunakan metode kendali sederhana yang berpotensi menyebabkan inefisiensi energi dan keterlambatan respon. Penelitian ini bertujuan merancang dan mengimplementasikan sistem PJU berbasis Internet of Things (IoT) dengan komunikasi Long Range (LoRa) yang mampu melakukan kendali dan monitoring secara otomatis dan manual. Sistem dikembangkan menggunakan ESP32, modul LoRa SX1278, sensor cahaya (LDR), serta Real Time Clock (RTC) dengan mekanisme prioritas kendali. Monitoring sistem dilakukan menggunakan platform Node-RED dan pencatatan data pada Google Sheet. Metode penelitian yang digunakan adalah metode eksperimental dengan pengujian terhadap tiga aspek utama, yaitu keberhasilan kendali sistem, pencatatan data, dan komunikasi LoRa berdasarkan jarak dan nilai Received Signal Strength Indicator (RSSI). Hasil pengujian menunjukkan bahwa sistem memiliki tingkat keberhasilan kendali sebesar 100% pada ketiga metode kendali (manual, LDR, dan RTC). Pengujian pencatatan data selama 7 hari menghasilkan tingkat keberhasilan sebesar 98,10%. Sementara itu, pengujian komunikasi LoRa menunjukkan performa optimal hingga jarak 200 meter dengan tingkat keberhasilan 100%, dan mengalami penurunan pada jarak yang lebih jauh seiring dengan melemahnya nilai RSSI. Berdasarkan hasil tersebut, sistem yang dikembangkan mampu bekerja secara andal dalam melakukan kendali dan monitoring PJU serta memiliki potensi untuk dikembangkan lebih lanjut sebagai solusi sistem PJU cerdas berbasis IoT yang efisien dan adaptif.

Public street lighting plays a crucial role in ensuring the safety and comfort of road users, especially at night. Conventional PSL systems generally still rely on simple control methods that can lead to energy inefficiency and slow response times. This study aims to design and implement an IoT-based PJU system with Long Range (LoRa) communication capable of both automatic and manual control and monitoring. The system was developed using an ESP32, an SX1278 LoRa module, a light sensor (LDR), and a Real-Time Clock (RTC) with a control priority mechanism. System monitoring is performed using the Node-RED platform, and data logging is conducted in Google Sheets. The research method employed is an experimental approach, testing three main aspects: system control success, data logging, and LoRa communication based on distance and Received Signal Strength Indicator (RSSI) values. Test results showed that the system achieved a 100% control success rate across all three control methods (manual, LDR, and RTC). Data logging tests conducted over 7 days yielded a success rate of 98.10%. Meanwhile, LoRa communication testing demonstrated optimal performance up to a distance of 200 meters with a 100% success rate, and performance declined at greater distances as the RSSI value weakened. Based on these results, the developed system is capable of reliably controlling and monitoring streetlights and has the potential to be further developed as an efficient and adaptive IoT-based smart streetlight system solution.