BibTex Citation Data :
@article{JSM8031, author = {Rahmat Gernowo and Yenny Ernitawati}, title = {Prediksi Variabilitas Nilai Tukar Rupiah Indonesia Terhadap Dollar Amerika Serikat Berbasis Sistem Inferensi Fuzzy Jaringan Saraf Adaptif sebagai Analisis Tingkat Perekonomian}, journal = {JURNAL SAINS DAN MATEMATIKA}, volume = {21}, number = {2}, year = {2015}, keywords = {}, abstract = { The purpose of this paper to predict the variability of exchange rate (Rp/ US \$) based Adaptif Neuro-Fuzzy Inference Systems (ANFIS) analysis of the economic level. The data is secondary data obtained from the movement of the exchange rate (Rp / US \$) in Bank Indonesia from January 2003 to December 2013 . The software is used among others of ANFIS system. The results obtained with the Neuro-Fuzzy system shows the range of estimates for all data were obtained at 89.51% for treatment with ANFIS. Dollar exchange rate variability index, showed a pattern that tends to stabilize after years in which Indonesia was hit by the financial crisis of 1998.. Keywords: Prediction, dollar exchange rate index, ANFIS. }, pages = {39--41} url = {https://ejournal.undip.ac.id/index.php/sm/article/view/8031} }
Refworks Citation Data :
The purpose of this paper to predict the variability of exchange rate (Rp/ US $) based Adaptif Neuro-Fuzzy Inference Systems (ANFIS) analysis of the economic level. The data is secondary data obtained from the movement of the exchange rate (Rp / US $) in Bank Indonesia from January 2003 to December 2013 . The software is used among others of ANFIS system. The results obtained with the Neuro-Fuzzy system shows the range of estimates for all data were obtained at 89.51% for treatment with ANFIS. Dollar exchange rate variability index, showed a pattern that tends to stabilize after years in which Indonesia was hit by the financial crisis of 1998..
Keywords: Prediction, dollar exchange rate index, ANFIS.
Last update:
Last update: 2024-12-23 09:27:46
