PREDICTION OF DEMAND FOR AIR TRANSPORT SERVICES IN HALUOLEO AIRPORT - KENDARI
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Psychosocial Rehabilitation, Vol.24, Issue 02
Abstract
This paper will analyze the number of passengers and predictions about the number of passengers who will use
the Haluoleo airport in Kendari. Several approaches for forecasting air transport passengers at Haluoleo Airport - Kendari
are deemed necessary to facilitate the selection of realistic projection values, namely forecasting using the method
Regression analysis with several variable simulations, forecasting using passenger growth rates for historical periods,
forecasting with a linear model where time functions as an independent variable. From the results of this study the results of
forecasting transport passengers from 2014 to 2035.
Description
Keywords
Forecasting, Bandara, Regresi