Rancang Bangun dan Implementasi Sistem Kebersihan Lingkungan Cerdas Berbasis IoT Menggunakan Sensor Partikulat dan Kontrol Kelembapan Adaptif

Abstract

Indoor environmental cleanliness and air quality play a crucial role in human health and comfort. High concentrations of fine particulate matter, such as PM2.5 and PM10, combined with suboptimal humidity levels, can cause respiratory problems and discomfort. This study presents the design and implementation of a smart environmental hygiene system based on the Internet of Things (IoT), utilizing particulate sensors and adaptive humidity controllers. The system comprises particulate sensors, temperature and humidity sensors, an IoT microcontroller, and a cloud-based monitoring platform. Real-time data collected from the sensors are used to automatically operate actuators, such as air purifiers and humidifiers, to maintain optimal indoor conditions. Experimental results show that the system can reduce PM2.5 concentrations by more than 50% and maintain humidity within a comfortable range according to recommended standards. These findings demonstrate that the IoT-based system is effective in monitoring and controlling indoor environmental quality in real-time, while enhancing user comfort and health.