In September 2018, a magnitude 5.2 earthquake struck Palu City – Central Sulawesi Province, Indonesia. The earthquake caused a destructive tsunami and a liquefaction which paralyzed activities in the region and the surrounding. This disaster occurred shortly after the cataclysmic earthquake in Lombok – NTB in July of the same year. Furthermore, the handling of infrastructure in the aftermath of the Palu City disaster demands for very precise and efficient approaches due to lack of resources. To facilitate the handling of rehabilitation and reconstruction, this study utilizes priority mapping models using geographic information systems (GIS). Two indicators of spatial data are used which consist of 10 infrastructure components, including infrastructures (roads / transportation, clean water, waste, irrigation, and housing) and facilities (health, economy, education, public administration, and worship places). Before making a mapping model, the Analytical Hierarchy Process (AHP) is used to obtain weighting data based on the priorities of the infrastructure indicators. Furthermore, the data is analyzed using algorithm density to produce a priority mapping model of post- disaster infrastructure rehabilitation and reconstruction in Palu City. The results show that coastal areas with large amounts of infrastructure damage are the priority in handling the rehabilitation and reconstruction of Palu City followed by the area which encountered liquefaction.

Keywords : Density Algorithm, Analytical Hierarchy Process (AHP), Mapping Model, Infrastructure Rehabilitation and Reconstruction Priority, Geographic Information System (GIS).