Green Land Mapping Using QGIS and Fuzzy Logic in Maintaining Air Quality in Central Jakarta

Abstract

The air quality in Central Jakarta in the past year has been the talk of the town. This is due to many things, including green spaces that are not maximized. In this research, in addition to using the QGIS geospatial application, fuzzy logic is also used in decision making. The research uses quantitative research with additional literacy studies. The data used in this research is image data from QGIS, which is then integrated with fuzzy logic. The parameters used in this research are Vegetation Density, Population Density, and Air Quality. The data obtained in this study is that the vegetation density obtained is included in the low category, the population density is included in the high category with a value of 22,062.98 people/km2. Based on fuzzy logic, if vegetation is low and population density is high then air quality is low. This is in accordance with the data which states that during August-September 2024 the air quality in Jakarta was at 51.84 on the PM2.5 scale. Therefore, it is necessary to create more green open land than what currently exists if the air quality in central Jakarta is to be better than now.