Skripsi
KARAKTERISASI POLUTAN UDARA PASCA KEBAKARAN HUTAN DAN LAHAN MENGGUNAKAN DATA SENSOR IOT SEBAGAI KONTRIBUSI PADA MATA KULIAH FISIKA LINGKUNGAN
Forest and land fires are one of the major sources of air pollution that produce various harmful pollutants such as carbon dioxide (CO₂) and fine particulate matter (PM2.5). These pollutants can affect air quality and potentially cause impacts on human health and the environment. This study aims to analyze the temporal patterns and fluctuations of PM2.5 and CO₂ concentrations after forest and land fires, as well as to determine the relationship between these two pollutants. The research was conducted in Ogan Ilir Regency, South Sumatra, using air quality monitoring data obtained from an Internet of Things (IoT)-based sensor installed at Building D of the Faculty of Teacher Training and Education, Sriwijaya University. The data were collected from October 15 to October 29, 2025, with a recording interval of every five minutes. Data analysis was carried out using time series visualization, heatmap analysis, Seasonal-Trend decomposition using LOESS (STL), and Cross-Correlation Function (CCF). The results show that CO₂ concentrations experienced spikes reaching 1600–1900 ppm, indicating possible emissions from post-fire activities. Meanwhile, PM2.5 showed episodic increases with maximum concentrations of around 15–20 µg/m³. STL analysis indicates that CO₂ fluctuates more gradually, while PM2.5 is dominated by episodic spikes. The CCF analysis reveals that the relationship between CO₂ and PM2.5 is weak and statistically insignificant within a lag range of ±12 hours. These findings indicate that although both pollutants are influenced by the same fire event, their temporal dynamics develop differently and are more strongly affected by local atmospheric conditions.
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