This thesis discusses the Spatial Analysis of the 2020 Depok City Regional Head Election. The source of the data was taken from the results of the 2020 Depok City Regional Head Election in the form of the number 2 contestant vote, population demographic data in the same year. This research uses quantitative methods with GeoDa applications. The purpose of this study analyzes the spatial distribution in each village, demographic factors and voter behavior and to determine the spatial influence on each contestant. The results of this study showed that contestant number 2 only had 30 village bases, but won absolutely in 53 villages. The factor of novice voters and voters with high school education level and above, affects the victory of contestant number 2. Other factors that influence victory are the quality of voters and the contestant's capabilities, the candidate's vision and mission, work program, government experience, contestant's level of education. Further research can be deepened by testing other demographic variables such as gender, socioeconomics, characteristics of commuter workers, both qualitatively and quantitatively.

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This thesis discusses the Spatial Analysis of the 2020 Depok City Regional Head Election. Data sources are taken from the results of the 2020 Depok City Regional Head Election in the form of the vote acquisition of contestant number 2, population demographic data in the same year. This research uses quantitative methods with the GeoDa application. The purpose of this research is to analyze the spatial distribution in each village, demographic factors and voter behavior and to determine the spatial influence on each contestant. The results of this study show that contestant number 2 only has 30 base villages, but won absolutely in 53 villages. The factor of novice voters and voters with a high school education level and above, influenced the victory of contestant number 2. The other factors that influence victory are the quality of voters and contestant capabilities, candidates' vision and mission, work programs, government experience, and contestant education levels. Further research can be deepened by testing other demographic variables such as gender, socio-economic, characteristics of commuter workers, both qualitatively and quantitatively.