PENENTUAN TINGKAT KERAWANAN LONGSOR MENGGUNAKAN METODE FUZZY LOGIC
Abstract: Landslides is one
form of natural disasters that often occur suddenly, its effects cause
substantial losses in terms of both material and loss of life. In Indonesia,
natural disasters are very common one is because Indonesia has a high rainfall
which category each year. The authorities deal with this natural disaster is
very difficult to predict when the occurrence of landslides in certain areas
because the symptoms are not seen clearly coupled with the location of areas
difficult to reach. 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-based intelligent
systems can be used as an examination to predict areas prone to
landslides. In this research, the
landslide prediction system created a web-based reference that can be used as a
tool to predicting certain areas against possible 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.
Penulis: Akshar
Kode Jurnal: jptinformatikadd130147
