The research was conducted on Gintung sub-Watershed. Gintung sub-Watershed is located
among three districts: Loano District, Purworejo District, and Kaligesing District in Central
Java Province. Gintung sub-Watershed is one of areas frequently suffered by landslide
hazard. This research is aimed to manage landslide risk in the study area. Land allocation
based on risk levels is proposed to provide the management of landslide risk.
Three methods were applied in this research. First, statistic-probabilistic method was
applied to obtain landslide susceptibility level of the study area. Multivariate statistic was
used in this step. Logistic regression model was executed as the statistical approach. Slope,
landform, soil, geology, land use, and aspect were the variables which were used in this
analysis. Second, questioner survey was done to obtain vulnerability level of the elements at
risk in the study area. Settlement and road network were the elements at risk which were
analyzed in this step. Stratified-random sampling was applied on vulnerability assessment.
Third, risk matrix was applied to obtain the risk level of landslide in the study area.
The result of this research showed that 59.4% susceptibility level of landslide in Gintung
sub-Watershed is categorized into moderate level. Probability of future landslide in the
study area is greater than 0.6 respectively. Logistic regression equation stated that land use
is the most controlling factor of landslide in the study area. Vulnerability level of settlement
in the study area is categorized into moderate level. Vulnerability level of road network is
categorized into high level. Based on the risk matrix, landslide risk level in the study area is
categorized into moderate level. As a consequence, according to landslide risk levels in the
study area, the proposed land uses are to limit settlement expansion in very steep slope area,
to reduce garden uses through changing into dryland agriculture in flat up to undulating area
and changing into bush and shrub in slightly steep up to steep slope area