ANALISIS POTENSI PERGERAKAN PENUMPANG PESAWAT UDARA
DI DAERAH ISTIMEWA YOGYAKARTA
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Institusion
INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO
Author
Tri Aini S, Nanda
Subject
T Technology (General)
Datestamp
2024-07-29 08:52:01
Abstract :
Transportation plays a very important role, so that the provision or development of facilities and infrastructure in an area must be adequate in the sense that it can accommodate and support the smooth movement of existing movement activities within the area itself and its relationship with other regions. This is because the movement of aircraft and passengers will continue to increase from year to year The methodology used in this analysis is the correlation method and linear regression using SPSS software with 1 dependent variable, namely the number of airplane passengers and 9 independent variables including, the number of residents, the number of hotels, the number of hospitals, the number of students, the number of universities, the number of workers, the number of companies, the number of attractions and the number of visitors/tourists. This potential analysis uses data from 2015 to 2020. The results showed that the most influencing factor in the movement of passengers was the number of mountains/tourists. With a correlation strength of 88.5% for the pull of the movement and 94.6% for the rise of the movement. The influence of the number of mountains/tourists on the number of incoming passenger movements is 78.4%, while the influence of mountains/tourists on the movement of departing passengers is 89.5%. which means, the more the number of mountains/tourists, the greater the movement of passengers
Transportation plays a very important role, so that the provision or development of facilities and infrastructure in an area must be adequate in the sense that it can accommodate and support the smooth movement of existing movement activities within the area itself and its relationship with other regions. This is because the movement of aircraft and passengers will continue to increase from year to year The methodology used in this analysis is the correlation method and linear regression using SPSS software with 1 dependent variable, namely the number of airplane passengers and 9 independent variables including, the number of residents, the number of hotels, the number of hospitals, the number of students, the number of universities, the number of workers, the number of companies, the number of attractions and the number of visitors/tourists. This potential analysis uses data from 2015 to 2020. The results showed that the most influencing factor in the movement of passengers was the number of mountains/tourists. With a correlation strength of 88.5% for the pull of the movement and 94.6% for the rise of the movement. The influence of the number of mountains/tourists on the number of incoming passenger movements is 78.4%, while the influence of mountains/tourists on the movement of departing passengers is 89.5%. which means, the more the number of mountains/tourists, the greater the movement of passengers
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