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    Penentuan Tingkat Kerawanan Longsor Menggunakan Metode Fuzzy Logic

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    Date
    2013
    Author
    Akshar, Akshar
    Advisor(s)
    Zarlis, Muhammad
    Ramli, Marwan
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    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.
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    https://repositori.usu.ac.id/handle/123456789/50957
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    Repositori Institusi Universitas Sumatera Utara (RI-USU)
    Universitas Sumatera Utara | Perpustakaan | Resource Guide | Katalog Perpustakaan
    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV