| dc.description.abstract | Air pollution is one of the major environmental issues that negatively impacts human health and ecosystems. One of the main pollutants contributing to air pollution is sulfur dioxide (SO₂), which is produced by the combustion of fossil fuels, such as those used in coal-fired power plants. High concentrations of SO₂ in the air can cause various health problems, including respiratory tract irritation, and contribute to acid rain, which damages the environment. Therefore, this study aims to design and implement an Internet of Things (IoT)-based air pollution monitoring system that utilizes an SO₂ sensor to detect gas concentrations around the Pangkalan Susu Power Plant. The system consists of an ESP32 microcontroller as the main processing unit, Arduino IDE software for programming, and the Blynk application for real-time data visualization. The test results indicate that the system can detect SO₂ concentrations ranging from 1.7 ppm to 2.2 ppm, with an average of 2 ppm. The system is also equipped with an automatic notification feature through the IoT platform, enabling more efficient remote monitoring. The implementation of this system is expected to contribute to increasing awareness of air quality in industrial environments and support efforts to mitigate air pollution. Further development can be carried out to enhance sensor accuracy and expand monitoring coverage to other pollution parameters, creating a more comprehensive monitoring system. | en_US |
