The import of gasoline is one of the biggest causes of the deficit in the country of Indonesia. Indonesia has committed to reducing CO2 emissions. Electric vehicles can be a solution to reduce dependence on gasoline and reduce CO2 emissions significantly. Sebelas Maret University is appointed by the Ministry of Education and Culture to develop an electric car vehicle named Mobil Listrik Nasional (Molina). However, the charging station is nowhere to be found in the city of the university, Surakarta. A charging station is urgently needed to popularize electric vehicles and reduce its technology bottleneck. This study aims to optimize the location selection to build a charging station facility in the city of Surakarta.  The method used is a center of gravity method and software called Microsoft Excel. The result is optimum charging location for electric car vehicles that minimize total cost. This study proposes a recommendation to the city government or Sebelas Maret University to support the acceleration of electric vehicles, especially Molina in the city of Surakarta.