KESESUAIAN METODE FUZZY AUTO-REGRESSIVE UNTUK MODEL CURAH HUJAN DI INDONESIA
Abstract: Rain is one of the
attenuation factors in very high frequency radio wave. Attenuation caused by
rainfall gives a big impact in communication systems, especially wireless
communication systems at millimeter-wave. This paper seeks to apply the fuzzy
auto-regressive model (fuzzy AR) for rainfall in Indonesia. In this study,
firstly the rainfall is measured, followed by getting the fuzzy variables for
each event of rainfall measurements. Thirdly, the fuzzy variables based on the
timing of the rain to get a fuzzy time series is set, and fourth step is the
fuzzy time series modeling as a fuzzy AR(2) process. The fifth is estimating
the matrix of model parameter, and the last step is simulating the generation
of rainfall using fuzzy AR(2) model. The results obtained from the generation
of simulated rainfall with Fuzzy AR(2) shows a good agreement with the actual
measurement results.
Penulis: uhammad Rusdi
Kode Jurnal: jptkomputerdd100024
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