Landslides susceptibility mapping using fuzzy logic: A case study in Ponorogo, East Java, Indonesia

The main goal of this study is a landslide susceptibility mapping each of village in Ponorogo area using fuzzy logic and compare the result with Analytical Hierarchy Process (AHP)-natural break classification. Fuzzy logic method uses five variables to detect the most susceptible areas. The variables are land slope, soil type, land use, rain fall, and elevation of the land. They are used to determine the vulnerability level of landslide area is very low, low, moderate or high. The validation of the comparison results between the two methods using chi-squared calculation. Chi-squared will examine the relationship level of vulnerability to landslides with point of landslides that have occurred a latest year. As a result of these calculations, show that the total value of fuzzy logic is 92.576 and 184.917 for AHP-natural break classification. The two validation value of each of these methods can be concluded that the relationship is very significant between the classification of susceptibility to landslide with the landslides itself. Although both are very significant, but the greater total AHP-natural break chi squared value is the better validation result.