PERAMALAN JUMLAH PENUMPANG PESAWAT BANDARA I GUSTI NGURAH RAI MENGGUNAKAN EXPONENTIAL SMOOTHING DAN RUEY-CHYN TSAUR
Main Authors: | MUJTABA, WILDAN FATTURAHMAN, SRINADI, I GUSTI AYU MADE, SUMARJAYA, I WAYAN |
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Format: | Article info application/pdf eJournal |
Bahasa: | eng |
Terbitan: |
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
, 2021
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Online Access: |
https://ojs.unud.ac.id/index.php/mtk/article/view/81466 https://ojs.unud.ac.id/index.php/mtk/article/view/81466/42455 |
Daftar Isi:
- 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.