PROTOTYPE SMART STREET LIGHT SYSTEM BERBASIS ARDUINO MENGGUNAKAN METODE FUZZY LOGIC

Abstract

Street lighting plays a crucial role in enhancing the safety and security of the community as a whole, while providing adequate illumination for road users and the surrounding environment. However, the use of street lights installed and illuminated throughout the night also leads to wasteful electricity consumption. Therefore, the purpose of this research is to save electricity usage in street lighting. This research discusses the application of Fuzzy Logic method in the prototype of Arduino-based Smart Street Light System, which utilizes Light Dependent Resistor (LDR) sensor to detect brightness level and Ultrasonic sensor to detect objects around the light. Fuzzy Logic method requires two inputs, namely brightness level and distance. Each input has several predefined values or linguistic terms. The brightness input has three linguistic terms, namely bright, cloudy, and dark, while the distance input has three linguistic terms, namely near, medium, and far. The prototype testing results show that if the light level is detected as dark, the light will illuminate with different intensities based on the object's distance. If the object is far, the light intensity will be 40%, if the object is