Prediction and Analysis of the Factors That Influence Volume of Air Passenger at Banyuwangi Airport using Econometric

Endroyono, Suwander Husada, Yoyon K. Suprapto

2019

Abstract

The volume of passengers at the airport in the future needs to be predicted. From several air passenger prediction methods, one of them is the econometric method. This method has the excellence of long-term predictions and gaining knowledge of economic factors that affect the volume of air passengers. In this study, several economic factors, such as hotel occupancy, population, rupiah exchange rate, tourism visitor, inflation, and the Banyuwangi Consumer Price Index (CPI), were analyzed. Pre-analysis data needed before building the model, including data selection, data description, data pattern recognition, and data completeness. The best econometric model is obtained from the results of the combination test of each variable. The best econometric model is used to predict the volume of air passengers in Banyuwangi airport for the next 20 years. From the results, three factors significantly effect the volume of air passengers, that is, hotel occupancy affect 0.301%, population affect 0.132%, and the rupiah exchange rate affect -0.481%. To evaluate the accuracy of predictions using the Mean Absolute Percentage Error (MAPE) with a value of 15,208 %.

Paper Citation

in Harvard Style

Endroyono., Husada S. and Suprapto Y. (2019). Prediction and Analysis of the Factors That Influence Volume of Air Passenger at Banyuwangi Airport using Econometric.In Proceedings of the 2nd International Conference on Applied Science, Engineering and Social Sciences - Volume 1: ICASESS, ISBN 978-989-758-452-7, pages 173-179. DOI: 10.5220/0009880301730179

in Bibtex Style

@conference{icasess19,
author={Endroyono and Suwander Husada and Yoyon K. Suprapto},
title={Prediction and Analysis of the Factors That Influence Volume of Air Passenger at Banyuwangi Airport using Econometric},
booktitle={Proceedings of the 2nd International Conference on Applied Science, Engineering and Social Sciences - Volume 1: ICASESS,},
year={2019},
pages={173-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009880301730179},
isbn={978-989-758-452-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Applied Science, Engineering and Social Sciences - Volume 1: ICASESS,
TI - Prediction and Analysis of the Factors That Influence Volume of Air Passenger at Banyuwangi Airport using Econometric
SN - 978-989-758-452-7
AU - Endroyono.
AU - Husada S.
AU - Suprapto Y.
PY - 2019
SP - 173
EP - 179
DO - 10.5220/0009880301730179