Cianjur had 33 times occurence landslides during [2002][2003][2004][2005][2006][2007]. The objectives of this study were: (i) to identify the main cause of landslide hazard; and (ii) to analyze the landslide hazard areas in Cianjur. Analysis methods to identify the main cause of landslide hazard were based on binary logistic regression and normalization. Based on binary logistic regression and normalization result, rainfall is the main cause of landslide hazard in this study area. This was showed by the highest coeficient value of rainfall at the 3 equation (0.542 by using SPSS, 0.920 by using Idrisi, and 0.29 by using normalization). Positive coeficient value means that the occurence of landslide mainly influenced by the highest class of rainfall. The three of landslide hazard map resulted from different method showed different location with moderate to very high level hazard. Hazard map of binary logistic regression using SPSS showed that the moderate to very high level hazard were found in north west and southeast part of Cianjur. Hazard map using binary logistic regression on Idrisi showed that the moderate to very high level hazard were found in middle and north part of Cianjur. Hazard map using normalization method showed the domination of moderate level hazard which was spread through all subdistricts in Cianjur. The landslide hazard map of binary logistic regression on Idrisi was better than two other maps, indicated by highest determinant coefficient value which is 0.980.

Assessment of land damage has been included in several Indonesian government policies, but it tends to have zero dimensions or only one point in the year. This study tried to propose an inter-time assessment of land damage with a land stability index by including the development of knowledge and technology at nickel mining sites in the easternmost part of North Konawe Regency. Orthophoto and Digital Elevation Model (DEM) images from drones in 2020 were taken in a field survey and used as primary data. While the SPOT 5 Imagery in 2014 and National DEM were collected as secondary data. The developed method combining slope, soil, TRI (Terrain Ruggedness Index), and land cover factor has been considered moderately accurate. Applying the method between different periods has produced a temporal land stability index where a positive value means more unstable, zero means unchanged, and a negative value means more stable. The results showed that after six years, the largest area due to nickel mining in the area has not changed much or had zero value. This is because the area tends to remain a natural forest. The more stable area is located in the southern part of the study site. However, the increasingly unstable area is located in the northern part of the study site. If no reclamation action is taken, the potential for further damage will occur.