The survey geomorphology, it is the one apart of applied geomorphology. In case has done investigation character of geomorphological landscape of Mount Talang and mapping of landslide hazard potential. In this research has used some method, the first field observation and sampling for geomorphology character study were conducted. Second the mapping landslide hazard used method the MAFF Japan where integrating physical field data and spatial data using geographic information system. The results of this study where found some volcanic morphology, volcanic cones, upper slopes, middle slope, lower slopes, foot slope, and volcanic plain. The landslide hazard, where involving sources of observation and sampling for the study of geomorphological characters. From the research has found the landslide hazard in four zone, zone (I) land stable and low hazard potential large 9 ha, zone (II) land enough stable and middle hazard potential large 12.295 ha, zone (III) land less stable and high hazard potential large 1.118 ha, and Zone (IV) land unstable and highest hazard potential 0.1 ha. The typical of geomorphology, morphometry, and land use it has really influence to landslide potential to landslide hazard.

Landslide susceptibility zonation is necessary to be considered in land use planning at various scales., different approaches and analytical methods can be used to evaluate and zone the area and processed with GIS software. However, there are constraints in its use, such as the cost of the licenses of software and source code that cannot be accessed and evaluated by users. The recent development of open-source software that can integrate data, analysis, and graphs in a representation such as the R program, has opened up opportunities for researchers to reevaluate and modify interpretation further from available ones to address issues. In this regard, this study aims to create functions in R using the Weight of Evidence (WoE) method, a form of bivariate statistic approach to acquire the significant factors controlling landslides and generate a susceptibility map. The case study is located in Limapuluh Kota Regency, West Sumatra Province of Indonesia, a hilly and mountainous region where its districts are prone to landslides. Eight of eleven factors such as geology, landform, land cover, elevation, density of vegetation greenness, slope, rainfall intensity, and proximity to stream were regarded to control landslides which set up four classes of landslide susceptibility zone (very low, low, moderate, and high).