MONITORING KUALITAS UDARA RUANG GAS DI RSUD DR. SOEDARMO TRENGGALEK DENGAN IOT BERBASIS WEB

Air leaks in hospital gas stations can have a negative impact on health. This research develops a website-based air quality monitoring system to detect air leaks in hospital gas stations, focusing on the parameters PM2.5, carbon monoxide (CO), total volatile organic compounds (TVOC), temperature and humidity. This system uses the fuzzy logic method to analyze the relationship between parameters to determine the level of air quality. In system development, the Waterfall method is applied systematically to ensure that each stage, from requirements analysis to implementation, is carried out well. In addition, the system is equipped with an automatic warning feature via the Telegram application, which will send notifications when air pollution levels exceed safe thresholds. The research results show that the system can monitor air quality effectively and provide accurate and easy to understand data through a responsive website interface. It is hoped that the implementation of this system can help hospital management improve air quality in vital rooms and minimize health risks caused by indoor air pollution.