Nusyirwan, Nusyirwan Forecasting Seasonal Time Series Data using The Holt-Winters Exponential Smoothing Method of Additive Models. Jurusan Matematika, Universitas Lampung. (Unpublished)

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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: Other
Subjects: Q Science > QA Mathematics
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika
Depositing User: NUSYIRWAN
Date Deposited: 13 May 2022 07:07
Last Modified: 13 May 2022 07:07
URI: http://repository.lppm.unila.ac.id/id/eprint/41620

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