Implementation of a Sound Sensor-Based Automatic Light Switch Using a Wemos D1 R32 Microcontroller in a Classroom
Abstract
The development of Internet of Things (IoT) technology and intelligent control systems has encouraged the
use of microcontroller devices to support energy efficiency and comfort in learning environments. One of the problems
often encountered in classrooms is the use of inefficient lights, such as lights left on even when not in use or late turning
off the lights after learning activities are finished. This study aims to design and implement a sound sensor-based
automatic light switch system using a Wemos D1 R32 microcontroller in a classroom. This system is designed to detect
certain voice commands, such as clapping or sound intensity at a certain threshold, which are then processed by the
microcontroller to control the condition of the lights (on or off). The research method used is Research and
Development (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 the
environment, while the Wemos D1 R32 functions as a control center that processes data and activates relays as light
switches. The test results show that the system is able to respond to voice commands with a good success rate in
relatively normal classroom environmental conditions. The implementation of this system contributes to increasing the
efficiency of electrical energy use in classrooms and provides convenience for users without having to directly contact
manual switches. Furthermore, this system also supports technology-based learning concepts and can be used as a
practical learning medium for students in electronics and IoT. Therefore, the implementation of a sound sensor-based
automatic light switch using the Wemos D1 R32 is expected to be an innovative solution for managing educational
facilities more intelligently and sustainably
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