<![CDATA[Delays in detecting damage and potential theft of public street lighting remain a common problem in several areas due to reliance on manual reporting systems. Therefore, this study aimed to design and develop an Internet of Things (IoT)-based system for security monitoring and early detection of damage in public street lighting. The proposed system employed an ESP8266 microcontroller, a Light Dependent Resistor (LDR) sensor to detect lamp operating conditions (on/off), and an E18-D80NK infrared proximity sensor to detect object presence as an indication of theft. Monitoring data were transmitted in real time and displayed through the Blynk application as the user interface. The research method included hardware and software design, system implementation, and functional testing, including LDR sensor testing, infrared proximity sensor testing, and system delay evaluation. The experimental results showed that the system accurately detected lamp operating conditions during testing on a 22-watt street lamp and successfully detected objects with a 100% detection rate. Delay testing indicated that the system response time increased with object distance but remained within acceptable limits for monitoring applications. Overall, the developed system was effective in supporting monitoring, early damage detection, and improving the security of public street lighting.]]>
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