Open AccessPERAMALAN JUMLAH KUNJUNGAN WISATAWAN MANCANEGARA KE BALI MENGGUNAKAN METODE SINGULAR SPECTRUM ANALYSIS
Author(s) -
M. A. N. Sari,
I Wayan Sumarjaya,
Made Susilawati
Publication year - 2019
Publication title -
e-jurnal matematika
Language(s) - English
Resource type - Journals
ISSN - 2303-1751
DOI - 10.24843/mtk.2019.v08.i04.p269
Subject(s) - singular spectrum analysis , mathematics , spectrum (functional analysis) , statistics , series (stratigraphy) , noise (video) , econometrics , algorithm , computer science , physics , singular value decomposition , artificial intelligence , quantum mechanics , paleontology , image (mathematics) , biology
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%.