Authors:

I MADE ARYA ANTARA, I PUTU EKA N. KENCANA, I KOMANG GDE SUKARSA

Abstract:

“This paper aimed to elaborates and compares the performance of Fuzzy Time Series (FTS) model with Markov Chain (MC) model in forecasting the Gross Regional Domestic Product (GDRP) of Bali Province. Both methods were considered as forecasting methods in soft modeling domain. The data used was quarterly data of Bali’s GDRP for year 1992 through 2013 from Indonesian Bureau of Statistic at Denpasar Office. Inspite of using the original data, rate of change from two consecutive quarters was used to model. From the in-sample forecasting conducted, we got the Average Forecas­ting Error Rate (AFER) for FTS dan MC models as much as 0,78 percent and 2,74 percent, respec­tively. Based-on these findings, FTS outperformed MC in in-sample forecasting for GDRP of Bali’s data.”

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PDF:

https://jurnal.harianregional.com/mtk/full-12002

Published

2014-08-29

How To Cite

ANTARA, I MADE ARYA; N. KENCANA, I PUTU EKA; SUKARSA, I KOMANG GDE. KOMPARASI KINERJA FUZZY TIME SERIES DENGAN MODEL RANTAI MARKOV DALAM MERAMALKAN PRODUK DOMESTIK REGIONAL BRUTO BALI.E-Jurnal Matematika, [S.l.], v. 3, n. 3, p. 116 - 122, aug. 2014. ISSN 2303-1751. Available at: https://jurnal.harianregional.com/mtk/id-12002. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/MTK.2014.v03.i03.p073.

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ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 3 No 3 (2014)

Section

Articles

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