Implementation of a Sound Sensor-Based Automatic Light Switch Using a Wemos D1 R32 Microcontroller in a Classroom
Year: 2025
Type: article
Abstract: The development of Internet of Things (IoT) technology and intelligent control systems has encouraged theuse of microcontroller devices to support energy efficiency and comfort in learning environments. One of the problemsoften encountered in classrooms is the use of inefficient lights, such as lights left on even when not in use or late turningoff the lights after learning activities are finished. This study aims to design and implement a sound sensor-basedautomatic light switch system using a Wemos D1 R32 microcontroller in a classroom. This system is designed to detectcertain voice commands, such as clapping or sound intensity at a certain threshold, which are then processed by themicrocontroller to control the condition of the lights (on or off). The research method used is Research andDevelopment (R&D), which includes the stages of needs analysis, system design, hardware and software development,testing, and system performance evaluation. The sound sensor is used as the main input to detect audio signals from theenvironment, while the Wemos D1 R32 functions as a control center that processes data and activates relays as lightswitches. The test results show that the system is able to respond to voice commands with a good success rate inrelatively normal classroom environmental conditions. The implementation of this system contributes to increasing theefficiency of electrical energy use in classrooms and provides convenience for users without having to directly contactmanual switches. Furthermore, this system also supports technology-based learning concepts and can be used as apractical learning medium for students in electronics and IoT. Therefore, the implementation of a sound sensor-basedautomatic light switch using the Wemos D1 R32 is expected to be an innovative solution for managing educationalfacilities more intelligently and sustainably
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7220146958