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Azis Muslim
Badan Pengkajian dan Pengembangan Kebijakan Perdagangan Kementerian Perdagangan Jalan M. I. Ridwan Rais No. 5, Jakarta Pusat.
Aerospace Engineering Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Neuroscience Physics

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PERAMALAN HARGA PARITAS KEDELAI MODEL ANFIS Azis Muslim
Widyariset Vol 17, No 1 (2014): Widyariset
Publisher : Pusbindiklat - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1073.858 KB) | DOI: 10.14203/widyariset.17.1.2014.13-24

Abstract

The aim of this research is to compare the accuracy of the ARMA conventional model and the ANFIS softcomputing model in forecasting soybean parity price. Two variables are chosen, Rupiah exchange rate and international soybean price which are the most volatile than others that make up the parity price. The methods used to compare the two models are Theil’s Inequality and MAPE. The results show that the ANFIS models are superior in predicting the exchange rate and international soybean prices based on the selected performance method.
PERAMALAN HARGA PARITAS KEDELAI MODEL ANFIS Azis Muslim
Widyariset Vol 17, No 1 (2014): Widyariset
Publisher : Pusbindiklat - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1073.858 KB) | DOI: 10.14203/widyariset.17.1.2014.13-24

Abstract

The aim of this research is to compare the accuracy of the ARMA conventional model and the ANFIS softcomputing model in forecasting soybean parity price. Two variables are chosen, Rupiah exchange rate and international soybean price which are the most volatile than others that make up the parity price. The methods used to compare the two models are Theil’s Inequality and MAPE. The results show that the ANFIS models are superior in predicting the exchange rate and international soybean prices based on the selected performance method.
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