<![CDATA[Electrical energy waste remains a major challenge in household energy management, with human factors such as forgetting to turn off lights contributing significantly to unnecessary energy consumption. This study aimed to design and implement an Internet of Things (IoT)-based smart lighting system using Passive Infrared (PIR) and Light Dependent Resistor (LDR) sensors. The PIR sensor was utilized to detect human movement, while the LDR sensor was employed to measure ambient light intensity. An ESP32 microcontroller processed the sensor data and transmitted the information to the Blynk application for real-time monitoring and control. The research adopted a prototype development method consisting of problem identification, requirements analysis, system design, implementation, and evaluation using the Black Box Testing approach. The results demonstrated that the proposed system operated effectively with an overall success rate of 95.8%. Automatic lamp activation and PIR data transmission achieved 100% accuracy, LDR sensor readings reached 90%, and energy monitoring through the PZEM-004T module achieved 95% accuracy. The implementation of the proposed system improved energy efficiency through automated operation and real-time monitoring, providing a practical and reliable solution for smart home applications.]]>
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