Jurnal Matematika Integratif
Vol 16, No 2: Oktober 2020

Forecasting Seasonal Time Series Data Using The Holt-Winters Exponential Smoothing Method of Additive Models

Nurhamidah Nurhamidah (Universitas Lampung)
Nusyirwan Nusyirwan (Universitas Lampung)
Ahmad Faisol (Universitas Lampung)

Article Info

Publish Date
05 Dec 2020

Abstract

The purpose of this study was 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 official website of the Central Statistics Agency.  The results showed that the Holt-Winters exponential smoothing method on the passenger's number at Hasanudin Airport in 2009 to 2019 contained trend patterns and seasonal patterns, by first determining the initial values and smoothing parameters that could minimize forecasting errors.

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Journal Info
Jurnal Matematika Integratif
Website

Abbrev

jmi

Publisher

Universitas Padjadjaran

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mechanical Engineering Transportation

Description

Jurnal Matematika Integratif (JMI) is a national journal intended as a communication forum for mathematicians and other scientists from many practitioners who use mathematics in research. JMI received a manuscript in areas of study mathematics widely, and math-based multidisciplinary studies derived ...