Spatial Analysis of Sulfur Dioxide (SO₂) and Nitrogen Dioxide (NO₂) Distribution Using Getis-Ord Gi* in DKI Jakarta Region, Indonesia

Abstract The increasing mobility of population and industry is the main problem in this study, so it will affect the spatial pattern in the distribution of pollutants. The parameters to measure air quality are Sulfur Dioxide and Nitrogen Dioxide. This study aims to (1) analyze air quality distribution patterns with SO 2 and NO 2 concentration parameters in the DKI Jakarta area in 2021, (2) analyze ambient air quality distribution patterns based on air quality threshold values, and (3) analyze the spatial distribution of SO 2 and NO 2 in the DKI Jakarta area in 2021. The data used for this research is the average concentration data of SO 2 and NO 2 pollutants in DKI Jakarta in 2021. This research uses the interpolation method using Inverse Distance Weighting and Getis-Ord Gi*. The results of this research show that the concentration of pollutants that have been interpolated using Inverse Distance Weighting produces higher NO 2 than SO 2 . From the interpolated image, a Hot Spot analysis (Getis-Ord Gi*) was conducted. This analysis showed significant clustering of nearest neighbors, with high concentrations of SO 2 in East Jakarta and NO 2 in West Jakarta. Therefore, air quality needs to be monitored and managed to maintain environmental stability.