Abstract: This study compares
the accuracy of forecasting using ANFIS and Fuzzy Time Series the number of
Australian tourists to Bali. The data used in this study are data on the number
of Australia tourists visit to Bali from the period January 2006 through
December 2011. ANFIS consists of two stages of learning and testing phases.
Least Squares Estimator is used to study the forward direction and Error Back
Propagation learning is used in the reverse direction. Forecasting with Fuzzy
Time Series is forecast to capture the pattern of previous data is then used to
project the data to come. The results of comparison of both methods showed that
the ANFIS method has a higher forecasting accuracy than the method of Fuzzy
Time Series. Forecasting by using ANFIS method obtained AFER aqual to 9,26%
while the prediction using the method of Fuzzy Time Series obtained AFER aqual
to 14,02%
Keywords: ANFIS; Fuzzy Time
Series; Forecasting; Australian Tourist Forecasting
Penulis: IDA BAGUS KADE PUJA
ARIMBAWA K., KETUT JAYANEGARA, I PUTU EKA NILA KENCANA
Kode Jurnal: jpmatematikadd130012
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