Nurhamidah, Nurhamidah and Nusyirwan, Nusyirwan and Faisol, Ahmad (2020) Forecasting Seasonal Time Series Data using The Holt-Winters Exponential Smoothing Method of Additive Models. Jurnal Matematika Integratif, 16 (2). pp. 151-157. ISSN p-ISSN: 1412-6184, e-ISSN: 2549-9033
|
Text
Forecasting Seasonal Time Series Data using The Holt-Winters Exponential Smoothing Method of Additive Models.pdf - Published Version Download (272kB) | Preview |
Abstract
This study aimed to predict seasonal time series data using the Holt-Winters exponential smoothing additive model. The data used in this study is data on the number of passengers departing at Hasanudin Airport in 2009-2019, the source of the data obtained from the o�cial website of the Central Statis- tics Agency. The results showed that the Holt-Winters exponential smoothing method on the passenger's number at Hasanudin Airport from 2009 to 2019 contained trend patterns and seasonal patterns by �rst determining the initial values and smoothing parameters minimize forecasting errors.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika |
| Depositing User: | AHMAD FAISOL |
| Date Deposited: | 07 Dec 2020 01:23 |
| Last Modified: | 07 Dec 2020 01:23 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/27002 |
Actions (login required)
 |
View Item |