Spatial Model Design of Landslide Vulnerability Early Detection with Exponential Smoothing Method Using Google API

From 2005 to 2014, on average Indonesia experienced 1,295 natural disasters every year with year 2010 witnessed the most incidents. Landslide is the natural disaster with the most destructive effect and the highest death and missing human fatalities. This research produces the spatial model of early detection of landslide disaster vulnerability based on the rainfall data and soil condition using the single exponential smoothing method based on Google API. This model could predict areas vulnerable to landslide disaster and contributes in the systematic efforts in reducing human fatalities of natural disasters and mitigating natural disasters’ adverse effects.