Authors:

MIRA AYU NOVITA SARI, I WAYAN SUMARJAYA, MADE SUSILAWATI

Abstract:

“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%.”

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PDF:

https://jurnal.harianregional.com/mtk/full-54991

Published

2019-11-30

How To Cite

SARI, MIRA AYU NOVITA; SUMARJAYA, I WAYAN; SUSILAWATI, MADE. PERAMALAN JUMLAH KUNJUNGAN WISATAWAN MANCANEGARA KE BALI MENGGUNAKAN METODE SINGULAR SPECTRUM ANALYSIS.E-Jurnal Matematika, [S.l.], v. 8, n. 4, p. 303-308, nov. 2019. ISSN 2303-1751. Available at: https://jurnal.harianregional.com/mtk/id-54991. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/MTK.2019.v08.i04.p269.

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ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 8 No 4 (2019)

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License