Rohana Silma, Maftika (2023) IMPLEMENTASI FUZZY INFERENCE SYSTEM METODE TSUKAMOTO PADA SISTEM REKOMENDASI PERBAIKAN SALURAN IRIGASI. Skripsi (S1) thesis, Universitas Muhammadiyah Ponorogo.
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Abstract
Irrigation canals are channels that distribute water for needs irrigation on agricultural land which is one of the supporting components increased production of agricultural products. If the irrigation canal does not work well will affect many things including the quality of agricultural products and the cost of processing agricultural land. In order for operation and maintenance activities can be implemented optimally and on target, so condition data is needed and the actual function of irrigation canals. In the current conditions of survey activities And recording is still done conventionally by filling in sheets a form that will later be reported to the person in charge of the irrigation area.This causes several risks or shortcomings including data files lost, unclear data track record, and takes a lot of time for data processing until the value of the condition index and channel function is obtained irrigation. Therefore, a system was created to recommend channel repairs irrigation that gives more accurate results using the fuzzy method Tsukamoto. Criteria used to determine improvement recommendations Irrigation canals i.e. condition, function and discharge. Fuzzy Tsukamoto can count Determination of recommendations for improving irrigation canals based on 30 existing data Manually calculated Fuzzy tsukamoto and the system that has been built.
Item Type: | Thesis (Skripsi (S1)) |
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Uncontrolled Keywords: | Saluran Irigasi, Algoritma Fuzzy Tsukamoto, Sistem rekomendasi |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering |
Depositing User: | ft . userft |
Date Deposited: | 01 Sep 2023 08:09 |
Last Modified: | 01 Sep 2023 08:09 |
URI: | http://eprints.umpo.ac.id/id/eprint/12268 |
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