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 (Unpublished)

Preview

Text forecasting.pdf Download (224kB) | 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:	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/41624

Actions (login required)

View Item