In a few years, electric vehicles will transition to vehicles that are massively used in transportation activities in order to reduce carbon footprint. The Indonesian government is committed to achieving the ‘Net-Zero Emission’ target by 2060. In its implementation, the existence of electric motor charging infrastructure such as charging stations is one of the critical factors in the electric vehicle adoption program. Consumers will feel anxious if their vehicle runs out of battery in the middle of their journey before reaching their destination. Therefore, this study focuses on determining the location of charging stations in Surakarta City, Central Java, Indonesia which is targeted to be an effective strategy in providing a large initiation impact on emission reduction in Central Java Province. This research takes into account the placement of locations that are suitable for electric motor users so that the utility of charging stations is optimal and able to serve electric motor users in Surakarta City with the minimum travel cost. The method used is it applies optimization model: a mixed integer linear programming (MILP) model to find the optimal locations for new charging stations that can maximize the coverage of the demand. This study uses user data, travel routes, and candidate charging station location points as data initiation for optimization models. The optimization is run to determine the most optimal solution for location of charging stations that consider electric motor users’ travel costs so that the demands can be met well.