| dc.description.abstract | This the research aims at the application of Fuzzy logic in determining level of
vulnerability to landslides in a particular area by taking the variable of Land Elevation
Map, Map of Land Slope, Rainfall Map, Map of Soil Types and Land Cover Map, so
it can be determined how much the likelihood of landslides on area or of the
coordinates. Fuzzy logic method has three stages of the process, namely fuzzification,
inference and defuzzification. Fuzzy logic is a value that has vagueness (fuzziness)
between right and wrong. In the theory of fuzzy logic could be worth a value of true
and false at the same time but how much truth and error a value depending on how
much weight they have membership. Fuzzy logic contained in the fuzzy set is
groupings of things based on variable language (linguistic variables) are expressed in
the membership function of zero to one. Fuzzy logic is based intelligent system can be
used as an audit to determine areas prone to landslides. The system is determining
vulnerability to landslides created for web based reference that can be used as a tool to
be determination on certain areas the possibility of landslides. Users must input some
parameters consisting of rainfall, soil slope, elevation of the land, soil type, and land
use which is subsequently processed into the system by using fuzzy logic and the
results will be displayed according to the input data that has been entered by the user.
It can be concluded that the landslide-prone area prediction system has high accuracy
and can be used easily. | en_US |
