ANISA RISKA ANDI SAPUTRI, 1517031025 (2019) METODE PENGHALUSAN EKSPONENSIAL HOLT-WINTERS DAN METODE SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (SARIMA) PADA PERAMALAN DATA DERET BERKALA MUSIMAN. FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM, UNIVERSITAS LAMPUNG.
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Abstract
The aim of this study is to examine Holt-Winters Multiplicative Exponential Smoothing Method and Seasonal Autoregressive Integrated Moving Average (SARIMA) Method and to compare this two methods in forecasting data on the number of train passengers in Indonesia. Based on the results of the study, it was found that the Holt-Winters Multiplicative Exponential Smoothing Method was more feasible than the SARIMA Method in predicting the number of train passengers in Indonesia in the future period. Keywords: Holt-Winters, Multiplicative, SARIMA, MSE. Tujuan dari penelitian ini adalah untuk mengkaji Metode Penghalusan Eksponensial Holt-Winters Multiplikatif dan Metode Seasonal Autoregressive Integrated Moving Average (SARIMA) serta membandingkan kedua metode tersebut pada peramalan data jumlah penumpang Kereta Api di Indonesia. Berdasarkan hasil penelitian diperoleh bahwa Metode Penghalusan Eksponensial Holt-Winters Multiplikatif lebih layak digunakan dibandingkan Metode SARIMA dalam meramalkan jumlah penumpang kereta api di Indonesia periode kedepan. Kata kunci: Holt-Winters, Multiplikatif, SARIMA, MSE.
| Item Type: | Other |
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| Subjects: | Q Science (General) > QA Mathematics |
| Divisions: | Fakultas MIPA > Prodi Matematika |
| Depositing User: | Users 8313 not found. |
| Date Deposited: | 14 Mar 2022 02:20 |
| Last Modified: | 14 Mar 2022 02:20 |
| URI: | http://digilib.unila.ac.id/id/eprint/54487 |
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