Aplikasi Metode Singular Spectral Analysis (SSA) dalam Peramalan Pertumbuhan Ekonomi Indonesia Tahun 2017

The purpose of this study was to look at seasonal patterns in the data of Gross Domestic Product (GDP) quarterly in the year 2000-2016 and the implementation of Singular Spectral Analysis (SSA) in the data of GDP to predict the data of GDP in 2017. The SSA method used is the method of recurrent fore...

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Autores principales:	Rina Sri Kalsum Siregar, Dina Prariesa, Gumgum Darmawan
Formato:	article
Lenguaje:	EN
Publicado:	Department of Mathematics, UIN Sunan Ampel Surabaya 2017
Materias:	Gross domestic product; Singular spectral analysis method; Forecasting Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/e1ea06962d0f44f68e17bcbaa7de63d7
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spelling	oai:doaj.org-article:e1ea06962d0f44f68e17bcbaa7de63d72021-12-02T17:17:10ZAplikasi Metode Singular Spectral Analysis (SSA) dalam Peramalan Pertumbuhan Ekonomi Indonesia Tahun 20172527-31592527-316710.15642/mantik.2017.3.1.5-12https://doaj.org/article/e1ea06962d0f44f68e17bcbaa7de63d72017-10-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/157https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167The purpose of this study was to look at seasonal patterns in the data of Gross Domestic Product (GDP) quarterly in the year 2000-2016 and the implementation of Singular Spectral Analysis (SSA) in the data of GDP to predict the data of GDP in 2017. The SSA method used is the method of recurrent forecasting with bootstrap confidence interval to look at its beliefs of the interval. The source of data derived from the data of GDP in 2000-2016 with the base year in 2000 compiled by the Central Statistics Agency (CSA). The results showed that the SSA method can be used as a reliable method and can be valid that view from the value of MAPE size is 0.82 and the size of the tracking signal at -4.00.Rina Sri Kalsum SiregarDina PrariesaGumgum DarmawanDepartment of Mathematics, UIN Sunan Ampel SurabayaarticleGross domestic product; Singular spectral analysis method; ForecastingMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 3, Iss 1, Pp 5-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Gross domestic product; Singular spectral analysis method; Forecasting Mathematics QA1-939
spellingShingle	Gross domestic product; Singular spectral analysis method; Forecasting Mathematics QA1-939 Rina Sri Kalsum Siregar Dina Prariesa Gumgum Darmawan Aplikasi Metode Singular Spectral Analysis (SSA) dalam Peramalan Pertumbuhan Ekonomi Indonesia Tahun 2017
description	The purpose of this study was to look at seasonal patterns in the data of Gross Domestic Product (GDP) quarterly in the year 2000-2016 and the implementation of Singular Spectral Analysis (SSA) in the data of GDP to predict the data of GDP in 2017. The SSA method used is the method of recurrent forecasting with bootstrap confidence interval to look at its beliefs of the interval. The source of data derived from the data of GDP in 2000-2016 with the base year in 2000 compiled by the Central Statistics Agency (CSA). The results showed that the SSA method can be used as a reliable method and can be valid that view from the value of MAPE size is 0.82 and the size of the tracking signal at -4.00.
format	article
author	Rina Sri Kalsum Siregar Dina Prariesa Gumgum Darmawan
author_facet	Rina Sri Kalsum Siregar Dina Prariesa Gumgum Darmawan
author_sort	Rina Sri Kalsum Siregar
title	Aplikasi Metode Singular Spectral Analysis (SSA) dalam Peramalan Pertumbuhan Ekonomi Indonesia Tahun 2017
title_short	Aplikasi Metode Singular Spectral Analysis (SSA) dalam Peramalan Pertumbuhan Ekonomi Indonesia Tahun 2017
title_full	Aplikasi Metode Singular Spectral Analysis (SSA) dalam Peramalan Pertumbuhan Ekonomi Indonesia Tahun 2017
title_fullStr	Aplikasi Metode Singular Spectral Analysis (SSA) dalam Peramalan Pertumbuhan Ekonomi Indonesia Tahun 2017
title_full_unstemmed	Aplikasi Metode Singular Spectral Analysis (SSA) dalam Peramalan Pertumbuhan Ekonomi Indonesia Tahun 2017
title_sort	aplikasi metode singular spectral analysis (ssa) dalam peramalan pertumbuhan ekonomi indonesia tahun 2017
publisher	Department of Mathematics, UIN Sunan Ampel Surabaya
publishDate	2017
url	https://doaj.org/article/e1ea06962d0f44f68e17bcbaa7de63d7
work_keys_str_mv	AT rinasrikalsumsiregar aplikasimetodesingularspectralanalysisssadalamperamalanpertumbuhanekonomiindonesiatahun2017 AT dinaprariesa aplikasimetodesingularspectralanalysisssadalamperamalanpertumbuhanekonomiindonesiatahun2017 AT gumgumdarmawan aplikasimetodesingularspectralanalysisssadalamperamalanpertumbuhanekonomiindonesiatahun2017
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Aplikasi Metode Singular Spectral Analysis (SSA) dalam Peramalan Pertumbuhan Ekonomi Indonesia Tahun 2017

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