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...
Saved in:
Main Authors: | Rina Sri Kalsum Siregar, Dina Prariesa, Gumgum Darmawan |
---|---|
Format: | article |
Language: | EN |
Published: |
Department of Mathematics, UIN Sunan Ampel Surabaya
2017
|
Subjects: | |
Online Access: | https://doaj.org/article/e1ea06962d0f44f68e17bcbaa7de63d7 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Peramalan Indeks Harga Konsumen dengan Metode Singular Spectral Analysis (SSA) dan Seasonal Autoregressive Integrated Moving Average (SARIMA)
by: Deltha Airuzsh Lubis, et al.
Published: (2017) -
Perbandingan Keakuratan Hasil Peramalan Produksi Bawang Merah Metode Holt-Winters dengan Singular Spectrum Analysis (SSA)
by: Yogo Aryo Jatmiko, et al.
Published: (2017) -
Study of the capability of detection of structural abnormality in rotating machines with SSA
by: Manabu TSUNOKAI, et al.
Published: (2016) -
Lectures on resolution of singularities
by: Kolla ́r, Ja ́nos
Published: (2007) -
POSITIVE MATRICES WITH PRESCRIBED SINGULAR VALUES
by: MONTAÑO,EMEDIN, et al.
Published: (2008)