PERAMALAN JUMLAH KUNJUNGAN WISATAWAN MANCANEGARA KE BALI MENGGUNAKAN METODE SINGULAR SPECTRUM ANALYSIS

Singular spectrum analysis (SSA) is a method to decompose the original time series into a summation of a small number of components that can be interpreted as varied trends, oscillatory, and noise components. The purpose of this research is to model and to find out the results of forecasting the num...

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Bibliographic Details
Published in:E-Jurnal Matematika
Main Authors: MIRA AYU NOVITA SARI, I WAYAN SUMARJAYA, MADE SUSILAWATI
Format: Article
Language:English
Published: Universitas Udayana 2019-11-01
Online Access:https://ojs.unud.ac.id/index.php/mtk/article/view/54991
Description
Summary:Singular spectrum analysis (SSA) is a method to decompose the original time series into a summation of a small number of components that can be interpreted as varied trends, oscillatory, and noise components. The purpose of this research is to model and to find out the results of forecasting the number of foreign tourists arrival to Bali using SSA method. In this research, the accuracy of forecasting results will be calculated using the SSA model with reccurent singular spectrum analysis (RSSA) method. The best SSA model was obtained with a window length (L=94) and produces MAPE value of 7,65%.
ISSN:2303-1751

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