Pendekatan Adaptive Neuro Fuzzy Sebagai Alternatif Bagi Bank Indonesia Dalam Menentukan Tingkat Inflasi Di Indonesia
In uncertain economic like today, research and modeling the inflation rate is considered necessary to provide estimates and predictions of inflation rates in the future. Adaptive Neuro Fuzzy approach is a combination of Neural Network and Fuzzy Logic. This study aims to describe the movement ofinfl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Kristen Satya Wacana
2016-10-01
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| Series: | Jurnal Ekonomi dan Bisnis |
| Subjects: | |
| Online Access: | http://ejournal.uksw.edu/jeb/article/view/463 |
| _version_ | 1797428219365818368 |
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| author | Armaini Akhirson Brahmantyo Heruseto |
| author_facet | Armaini Akhirson Brahmantyo Heruseto |
| author_sort | Armaini Akhirson |
| collection | DOAJ |
| description | In uncertain economic like today, research and modeling the inflation rate is considered necessary to provide estimates and predictions of inflation rates in the future. Adaptive Neuro Fuzzy approach is a combination of Neural Network and Fuzzy Logic. This study aims to describe the movement ofinflation(output variable ) so it can beestimated by observing four Indonesia's macroeconomic data, namely the exchange rate, money supply, interbank interest rates, and the output gap (input variable). Observation period started from the data in 20011 to 20113. After the learning process is complete, fuzzy systems generate 45 fuzzy rules that can define the input-output behavior. The results of this study indicate a fairly high degree of accuracy with an average error rate is 0.5315. |
| first_indexed | 2024-03-09T08:55:55Z |
| format | Article |
| id | doaj.art-2a73779374cf49a5b9b0aa048bb69830 |
| institution | Directory Open Access Journal |
| issn | 1979-6471 2528-0147 |
| language | English |
| last_indexed | 2024-03-09T08:55:55Z |
| publishDate | 2016-10-01 |
| publisher | Universitas Kristen Satya Wacana |
| record_format | Article |
| series | Jurnal Ekonomi dan Bisnis |
| spelling | doaj.art-2a73779374cf49a5b9b0aa048bb698302023-12-02T13:09:11ZengUniversitas Kristen Satya WacanaJurnal Ekonomi dan Bisnis1979-64712528-01472016-10-0119230932210.24914/jeb.v19i2.463382Pendekatan Adaptive Neuro Fuzzy Sebagai Alternatif Bagi Bank Indonesia Dalam Menentukan Tingkat Inflasi Di IndonesiaArmaini Akhirson0Brahmantyo HerusetoUniveritas GunadarmaIn uncertain economic like today, research and modeling the inflation rate is considered necessary to provide estimates and predictions of inflation rates in the future. Adaptive Neuro Fuzzy approach is a combination of Neural Network and Fuzzy Logic. This study aims to describe the movement ofinflation(output variable ) so it can beestimated by observing four Indonesia's macroeconomic data, namely the exchange rate, money supply, interbank interest rates, and the output gap (input variable). Observation period started from the data in 20011 to 20113. After the learning process is complete, fuzzy systems generate 45 fuzzy rules that can define the input-output behavior. The results of this study indicate a fairly high degree of accuracy with an average error rate is 0.5315.http://ejournal.uksw.edu/jeb/article/view/463estimation of inflationexchange ratemoney suplyPUABoutput gapfuzzy. |
| spellingShingle | Armaini Akhirson Brahmantyo Heruseto Pendekatan Adaptive Neuro Fuzzy Sebagai Alternatif Bagi Bank Indonesia Dalam Menentukan Tingkat Inflasi Di Indonesia Jurnal Ekonomi dan Bisnis estimation of inflation exchange rate money suply PUAB output gap fuzzy. |
| title | Pendekatan Adaptive Neuro Fuzzy Sebagai Alternatif Bagi Bank Indonesia Dalam Menentukan Tingkat Inflasi Di Indonesia |
| title_full | Pendekatan Adaptive Neuro Fuzzy Sebagai Alternatif Bagi Bank Indonesia Dalam Menentukan Tingkat Inflasi Di Indonesia |
| title_fullStr | Pendekatan Adaptive Neuro Fuzzy Sebagai Alternatif Bagi Bank Indonesia Dalam Menentukan Tingkat Inflasi Di Indonesia |
| title_full_unstemmed | Pendekatan Adaptive Neuro Fuzzy Sebagai Alternatif Bagi Bank Indonesia Dalam Menentukan Tingkat Inflasi Di Indonesia |
| title_short | Pendekatan Adaptive Neuro Fuzzy Sebagai Alternatif Bagi Bank Indonesia Dalam Menentukan Tingkat Inflasi Di Indonesia |
| title_sort | pendekatan adaptive neuro fuzzy sebagai alternatif bagi bank indonesia dalam menentukan tingkat inflasi di indonesia |
| topic | estimation of inflation exchange rate money suply PUAB output gap fuzzy. |
| url | http://ejournal.uksw.edu/jeb/article/view/463 |
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