Implementation of least-square constrain inversion method of geoelectrical resistivity data Wenner-Schlumberger for investigation the characteristic of landslide

Parameters that used to find out how landslides occur and how much the risk of disasters due to landslides is the characteristics of the slide surface. There are many studies conducted using the Geoelectric method which uses single configuration electrodes to assess landslides. Conversely, The results of previous studies have not been generally accepted. This condition is caused by each study area having unique and very complex conditions. In addition, the results of interpretation with inversion methods are not unique and bivalent. Nevertheless, inversion methods are used to interpret the Geoelectric data. In this research, we implementation of Least-Square constrain Geoelectrical resistivity that the data are measured through Wenner-Schlumberger configurations. The characteristic of landslide depends on, such as the type of rock, the slide surface, the depth and the slope angle of the landslide. Accordingly, we implementation of Least-Square Inversion Constrain Geoelectrical resistivity data Wenner-Schlumberger configurations to determine the characteristic of landslide. Data obtained through Geoelectrical exploration using with an automatic resistivity meter. The result, the rock structure in Malalak of Agam consists of clay, sandstone, Andesite, and Limestone and Dolomite. The depth and the slope angle of the slide surface of the active landslide are 43 degrees and 23 meters. Implementation this research can be used to develop mitigation of landslide deserter.