Proceedings of the Conference on Global Research on Sustainable Transport (GROST 2017)

PROJECTIONS NEED OF PASSENGER AND CARGO MOVEMENT AT SOEKARNO-HATTA INTERNATIONAL AIRPORT

Authors
Lia Alvianita
Corresponding Author
Lia Alvianita
Available Online November 2017.
DOI
https://doi.org/10.2991/grost-17.2018.43How to use a DOI?
Keywords
projection, trend analysis, passenger, cargo
Abstract
This research was conducted to determine projections passenger numbers and cargo at Soekarno-hatta for next 10 years. From the process of analysis can be specified that for the calculation of the projection of the number of passengers and cargo at the Soekarno-Hatta Airport and the most appropriate method to use is a good method of trend analysis that has the highest coefficient value with the regression equation models for each of the categories, such as the number of arriving passengers Y = -11,272x2 + 2,092,814x + 23,778,625 with R2 = 0.089, the number of departing passengers Y = 1,293,985x2 - 4,594,289x + 24,053,873 with R2 = 0.217 the number of transit passengers Y = 24,754x2 - 365,743x + 3,032,822 with R2 = 0.371 as for the projection of the number of cargo can be used the equation Y = 50,462,439x2 - 188,365,612x + 586,755,803 with R2 = 0.262. Soekarno-hatta airport is expected to be ready to face the increasing number of passengers and cargo by preparing and improve all the services and amenities.
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Proceedings
Global Research on Sustainable Transport (GROST 2017)
Part of series
Advances in Engineering Research
Publication Date
November 2017
ISBN
978-94-6252-449-1
ISSN
2352-5401
DOI
https://doi.org/10.2991/grost-17.2018.43How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lia Alvianita
PY  - 2017/11
DA  - 2017/11
TI  - PROJECTIONS NEED OF PASSENGER AND CARGO MOVEMENT AT SOEKARNO-HATTA INTERNATIONAL AIRPORT
BT  - Global Research on Sustainable Transport (GROST 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/grost-17.2018.43
DO  - https://doi.org/10.2991/grost-17.2018.43
ID  - Alvianita2017/11
ER  -