Mapping Landslide Prone Areas Using Geographic Information Systems with Polygon Thiessen Method
Kristoko Hartomo, Bambang Ismanto, Agus Nugraha, Sri Yulianto, Dhimas Affan
Information Technology Faculty, Satya Wacana Christian University, Jalan Diponegoro 52-60, Salatiga, Indonesia
Abstract
Landslides are an activity of the process of disturbance of balance which causes the movement of the soil and rocks from higher ground to lower ground. Boyolali District is one of 35 cities / regencies that have a high level of vulnerability to the occurrence of landslides. In this research, the mapping of landslide-prone areas using landslide-causing parameters such as thiessen rainfall, soil type, drainage, slope, and land cover. From these parameters will be processed and analyzed by using the scoring method, where scoring is a calculation system that can be used as a control system and problem solving that can be used to detect landslide areas in Boyolali District. In the process of analysis is done by using the features of spatial analysis tools in the form of Overlay software Qgis and R Studio. Then we will get the result of the map of landslide vulnerability level that has 3 classes of vulnerability, including low vulnerability class, medium vulnerability class, and high vulnerability class.
Keywords: Landslides; mapping, thiessen, spatial
Topic: Computer Science