IMPLEMENTASI FUZZY INFERENCE SYSTEM METODE TSUKAMOTO PADA SISTEM REKOMENDASI PERBAIKAN SALURAN IRIGASI

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.