PREDIKSI DISTRIBUSI PERGERAKAN PENUMPANG PESAWAT UDARA DI PROVINSI BALI DENGAN MODEL GRAVITY

Rohniatun, Janti (2023) PREDIKSI DISTRIBUSI PERGERAKAN PENUMPANG PESAWAT UDARA DI PROVINSI BALI DENGAN MODEL GRAVITY. Thesis thesis, Institut Teknologi Dirgantara Adisutjipto.

	Text (ABSTRAK) 19050079_ABSTRAK.pdf Download (144kB)
	Text (BAB I) 19050079_BAB 1.pdf Download (197kB)
	Text (DAFTAR PUSTAKA) 19050079_DAFTAR PUSTAKA.pdf Download (163kB)
	Text (FULL SKRIPSI) 19050079.pdf Restricted to Repository staff only Download (4MB)

Abstract

Bali Province has a total area of 5.636,66 km2 with superior commodities resulting in the growing economy of Bali Province. Especially after the end of the Covid 19 pandemic period which has been announced by WHO and the Indonesian Ministry of Health, it is certain that population productivity continues to increase. With the growth of economic productivity that occurs in Bali Province, this is the cause of an increase in the intensity of transportation use, especially in air transportation modes that have the shortest travel time effectiveness. To determine the increase in passenger movements, it needs to be analyzed to determine the number and distribution of existing aircraft passengers with the influence of socio economic factors that occur in Bali Province in this study used to predict in 2029. In this study, secondary data in the form of the number of airplane passengers, GRDP, labor, and population of Bali Province were used, obtained from the Central Statistics Agency CSA. From the passenger and socio economic data obtained, it was then analyzed to make a model of the distribution of passenger movement with a multiple linear regression method that produced a model of aircraft passenger movement. Then the data was reanalyzed using the gravity model of the movement pull generation to predict the distribution of the generation and the pull of the aircraft passengers. From the analysis with gravity models, the limits of generation and pull of aircraft passenger movements. From the data processing that has been carried out produces different modeling on the pull of passenger movement and produces a model on the movement generation of Y= 5202629,840 + 2,197X3. From this model, the magnitude of the rotation generation is 6.588.92 with a different amount of pull distribution on each route.

Actions (login required)

View Item

Downloads