ANALISIS PREDIKSI KEBERANGKATAN DAN KEDATANGAN
DI BANDAR UDARA INTERNASIONAL YOGYAKARTA (YIA)
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Institusion
INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO
Author
MEGAWATI, MEGAWATI
Subject
T Technology (General)
Datestamp
2024-05-06 02:38:22
Abstract :
Yogyakarta International Airport (YIA) is one of the airports new in Indonesia, located in Temon District, Kulon Progo, DI Yogyakarta with a capacity of 14 million passengers per year. Growth in the number of passengers in The airport tends to be stable with the potential for improvement. Required study of predictions of passenger arrivals and departures that can be used The airport management is able to make anticipatory plans so that passengers can be served well. This research aims to predict the number of arrivals and departures passenger traffic at YIA Airport in the following 6 months. Method used is ARIMA Box-Jenkins. The data used is data on the number of arrivals and passenger departures per month in the range April 2020 to March 2022. Data obtained from the DI Yogyakarta Provincial Central Statistics Agency Report. According to the prediction results that have been carried out using ARIMA Box-Jenkins number of arrivals at YIA Airport in April-September 2022 respectively are 81,721, 72,912, 67,901, 65,051, 63,429, and 62,507 passengers. Meanwhile, the number of departures at YIA Airport in April-September 2022 respectively are 79,783, 70,126, 64,987, 62,252, 60,796, and 60,021 passenger. This research has many limitations, especially related to The method used is univariate. Predictions are required multivariate by including other variables, such as economic conditions, regional affordability, and community holiday activities to obtain results which is more accurate.
Yogyakarta International Airport (YIA) is one of the airports new in Indonesia, located in Temon District, Kulon Progo, DI Yogyakarta with a capacity of 14 million passengers per year. Growth in the number of passengers in The airport tends to be stable with the potential for improvement. Required study of predictions of passenger arrivals and departures that can be used The airport management is able to make anticipatory plans so that passengers can be served well. This research aims to predict the number of arrivals and departures passenger traffic at YIA Airport in the following 6 months. Method used is ARIMA Box-Jenkins. The data used is data on the number of arrivals and passenger departures per month in the range April 2020 to March 2022. Data obtained from the DI Yogyakarta Provincial Central Statistics Agency Report. According to the prediction results that have been carried out using ARIMA Box-Jenkins number of arrivals at YIA Airport in April-September 2022 respectively are 81,721, 72,912, 67,901, 65,051, 63,429, and 62,507 passengers. Meanwhile, the number of departures at YIA Airport in April-September 2022 respectively are 79,783, 70,126, 64,987, 62,252, 60,796, and 60,021 passenger. This research has many limitations, especially related to The method used is univariate. Predictions are required multivariate by including other variables, such as economic conditions, regional affordability, and community holiday activities to obtain results which is more accurate.
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