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Journal > Jurnal Gaussian > PERBANDINGAN METODE PEMULUSAN EKSPONENSIAL TUNGGAL DAN FUZZY TIME SERIES UNTUK MEMPREDIKSI INDEKS HARGA SAHAM GABUNGAN

 

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Jurnal Gaussian
Vol 2, No 2 (2013): Wisuda Periode April 2013
PERBANDINGAN METODE PEMULUSAN EKSPONENSIAL TUNGGAL DAN FUZZY TIME SERIES UNTUK MEMPREDIKSI INDEKS HARGA SAHAM GABUNGAN
Article Info   ABSTRACT
Published date:
12 Jun 2013
 
The development of methods of forecasting with time series data quite rapidly result there are many options that the method can be used to predict the data according to the needs and the need to compare one method to the other methods that get results of prediction with high accuracy. In this thesis, comparison of forecasting will be done using measure forecasting accuracy in the form of MAPE, MAE, and MSE of a forecast in calculating the value of The composite stock price index (CSPI) using Single Exponential Smoothing method that will be compared to modern forecasting methods, namely Fuzzy Time Series . Fuzzy Time Series methods used in this study is the method of Fuzzy Time Series proposed by Chen and Cheng. Between the three forecasting methods obtained the best  method is of Cheng’s Fuzzy Time Series.
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