Abstract. The Land conversion can increase the risk of landslide disaster in Semarang Regency caused by human activity. Remote sensing and geographic information system to be used in this study to mapping the landslide areas because satellite image data can represent the object on the earth surface in wide area coverage. Satellite image Landsat 8 is used to mapping land cover that processed by supervised classification method. The parameters to mapping landslide areas are based on land cover, rainfall, slope, geological factors and soil types. Semarang Regency have the minimum value of landslide is 1.6 and the maximum value is 4.3, which is dominated by landslide prone areas about 791.27 km 2 . The calculation of the environmental vulnerability index in the study area is based on Perka BNPB No. 2/2012. Accumulation score of environmental vulnerability index is moderate value, that means environment condition must be considered, such as vegetation as ground cover and many others aspects. The range of NDVI value shows that density level in conservation areas (0.030 -0.844) and conservation forest (0.045 -0.849), which rarely until high density level. The results of this study furthermore can be assessed to reduce disaster risks from landslide as an effort of disaster preventive.

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Mount Merapi is one of the most active volcanoes in Indonesia. Seeing the status of Mount Merapi which until now is still quite active, disaster mitigation action efforts are needed. One of the disaster mitigation actions is by making the Risk Map. This study aims to provide an assessment of risk assessment of eruption of Mount Merapi in settlement areas so as to minimize losses that can occur. Mapping of eruption risk of Mount Merapi using two parameters, namely hazard and vulnerabilities. Risk assessment is derived from Matrix comparison of Risk Assessment. Making the risk map using processing method and spatial analysis of Geographic Information System (GIS) with scoring method, weighting, and overlay. The addition of settlement information was obtained using the Normalized Difference Built-up Index (NDBI) method to know total settlement areas. This research will produce a risk settlement area map of Mount Merapi eruption and conclusion that there is still a large risk that occurs in Sleman regency. And Remote sensing technology and GIS can answer challenges in providing disaster analysis with a fast response and better accuracy so that the need for other implementations in building disaster maps in other regions with this technology.