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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2016 Vol.6(1): 66-70 ISSN: 2010-3697
DOI: 10.7763/IJMO.2016.V6.505

Application of Wavelet Fuzzy Model to Forecast the Exchange Rate IDR of USD

Tri Wijayanti Septiarini, Agus Maman Abadi, and Muhammad Rifki Taufik
Abstract—The exchange rate of IDR of USD can be the indicator to analyze Indonesian economy. The exchange rate which is an important factor has big effect in Indonesian economy overall. The government gives attention to the movement of exchange rate. So, it needs a mathematics model to forecast the exchange rate of IDR of USD. The model that used is fuzzy wavelet model. Fuzzy wavelet model is the combination of fuzzy Mamdani model and Discrete Wavelet Transforms (DWT). DWT is used to transform a function with the time domain into the frequency domain. This model is very effective to identify the case, have high accurate result, and have simple structure. In this paper, data of exchange rate that are used are weekly data taken from January 1, 2012 until November 9, 2014. The result of forecasting gives a level of accuracy of MAPE of 3.45% for training data and 1.74% for testing the data.

Index Terms—Discrete wavelet transforms, forecasting, fuzzy Mamdani, the exchange rate.

The authors are with the Department of Mathematics, Faculty of Mathematics and Natural Science, State University of Yogyakarta, Indonesia (e-mail: tiar_septiarini@yahoo.com, agusmaman@uny.ac.id, m.rifki.taufik@gmail.com).


Cite: Tri Wijayanti Septiarini, Agus Maman Abadi, and Muhammad Rifki Taufik, "Application of Wavelet Fuzzy Model to Forecast the Exchange Rate IDR of USD," International Journal of Modeling and Optimization vol. 6, no. 1, pp. 66-70, 2016.

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