The Forecasting Technique Using SSA-SVM Applied to Foreign Tourist Arrivals to Bali

According to the characteristic of the tourist arrivals data, one shows that we need a more flexible forecasting technique. Singular Spectrum Analysis (SSA) plays an important role in filtering such noise. [...]the combination of these two methods (SSA-SVM) will be used to predict the number of fore...

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Bibliographic Details
Published inTelkomnika Vol. 16; no. 4; pp. 1679 - 1687
Main Authors Sitohang, Yosep Oktavianus, Andriyana, Yudhie, Chadidjah, Anna
Format Journal Article
LanguageEnglish
Published Yogyakarta Ahmad Dahlan University 01.08.2018
Subjects
Accuracy
Arrivals
Economic recovery
Forecasting
Forecasting techniques
Methods
Model accuracy
Noise
Rain
Spectrum analysis
Time series
Tourism
Trends
New York
Jakarta Indonesia
Australia
Bali Indonesia
United States > US
Indonesia
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Summary:According to the characteristic of the tourist arrivals data, one shows that we need a more flexible forecasting technique. Singular Spectrum Analysis (SSA) plays an important role in filtering such noise. [...]the combination of these two methods (SSA-SVM) will be used to predict the number of foreign tourist arrivals to Bali in 2017. [...]reducing the influence of noise components in building the model will certainly improve the accuracy of forecasting. [...]there will be three group of the data containing trend, oscillation and noise.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v16i4.7293