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Spatial data warehouse technology is one solution to the problem of big spatial data. Accumulation In the process of making spatial data warehouse, extraction, transformation, and loading (ETL) process has an important role to determine the quality of data. Manual ETL process requires a long time and makes a lot of queries. Therefore, this research uses Geokettle as a spatial ETL tool to integrate spatial data. This research used hotspot dataset of Indonesia from 2006 to 2014 and administrativedoi:10.1016/j.proenv.2016.03.117 fatcat:mgf23kcadfdxbhlmg767fotoia