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).