Jurnal Ekonomi dan Bisnis
Vol 19 No 2 (2016)

Pendekatan Adaptive Neuro Fuzzy Sebagai Alternatif Bagi Bank Indonesia Dalam Menentukan Tingkat Inflasi Di Indonesia

Armaini Akhirson (Univeritas Gunadarma)
Brahmantyo Heruseto (Unknown)

Article Info

Publish Date
05 Oct 2016

Abstract

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.

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Journal Info
Jurnal Ekonomi dan Bisnis
Website

Abbrev

jeb

Publisher

Universitas Kristen Satya Wacana

Subject

Arts Humanities Economics, Econometrics & Finance Social Sciences

Description

Jurnal Ekonomi dan Bisnis is a fully refereed (double blind peer review), open-access online journal for academics, researchers, graduate students, early-career researchers, and undergraduate students, published by Fakultas Ekonomika dan Bisnis Universitas Kristen Satya Wacana, Indonesia. Jurnal ...