PERAMALAN JUMLAH PENUMPANG PESAWAT BANDARA I GUSTI NGURAH RAI MENGGUNAKAN EXPONENTIAL SMOOTHING DAN RUEY-CHYN TSAUR

Abstract

Bali province is a tourist destination island with good transportation. Airplane is the most used transportation to go to Bali. Convenience of the airline passengers are the most important thing for I Gusti Ngurah Rai Airport Authorithy. An exact forecast method is needed to predict the numbers of passenger in the future. There are two types of forecasting methods; triple exponential smoothing and Fuzzy Time Series Ruey-Chyn Tsaur, however based on the research Fuzzy Time Series Ruey-Chyn Tsaur is better than triple exponential smoothing due to a small error MAPE (Mean Absolute Percentage Error) of 2,4% and plot is close to actual data.

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Author Biographies

WILDAN FATTURAHMAN MUJTABA, Universitas Udayana

Program Studi Matematika, Fakultas MIPA – Universitas Udayana

I GUSTI AYU MADE SRINADI, Universitas Udayana

Program Studi Matematika, Fakultas MIPA – Universitas Udayana

I WAYAN SUMARJAYA, Universitas Udayana

Program Studi Matematika, Fakultas MIPA – Universitas Udayana

Published
2021-11-30
How to Cite
MUJTABA, WILDAN FATTURAHMAN; SRINADI, I GUSTI AYU MADE; SUMARJAYA, I WAYAN. PERAMALAN JUMLAH PENUMPANG PESAWAT BANDARA I GUSTI NGURAH RAI MENGGUNAKAN EXPONENTIAL SMOOTHING DAN RUEY-CHYN TSAUR. E-Jurnal Matematika, [S.l.], v. 10, n. 4, p. 222-228, nov. 2021. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/81466>. Date accessed: 04 nov. 2024. doi: https://doi.org/10.24843/MTK.2021.v10.i04.p346.
Section
Articles

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