Monitoring air pollution in Perak using fuzzy logic

Air pollution is a critical environmental issue that affects human health and ecological systems. Traditional air quality monitoring methods in Tasek Ipoh, Perak and Seri Manjung, Perak often face challenges such as high costs, depending on manual data collection and limited adaptability to dynamic environmental changes. This study proposes a fuzzy logic-based system for monitoring air pollution which aims to develop a predictive model that assesses air quality more accurate. The result indicate that the fuzzy logic model successfully identifies areas with high risk of air pollution and generates reliable predictions of air quality levels. Among the two-location studied, Tasek Ipoh was found to have a higher risk of air pollution compared to Seri Manjung, primarily due to its industrial activities. The model able to handle imprecise and complex data with cost-effective solution for air quality monitoring. This research provides valuable insights for environmental agencies, enabling more responsive decision-making and contributing to improved public health and sustainable environmental management.