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All Journal Dinasti International Journal of Management Science Jurnal Ekonomi Manajemen Sistem Informasi Dinasti International Journal of Education Management and Social Science Dinasti International Journal of Digital Business Management Jurnal Ilmu Manajemen Terapan (JIMT) Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) Darmabakti: Jurnal Inovasi Pengabdian dalam Penerbangan Journal of Accounting and Finance Management (JAFM)
Rifqi Raza Bunahri
Politeknik Penerbangan Jayapura
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Transportation Other

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Journal : Dinasti International Journal of Digital Business Management

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Forecasting Passengers Arriving and Departing at Sentani International Airport Terminal Using the ARIMA Method Jemi Victor Palpialy; Rifqi Raza Bunahri; Musri Kona; Dhian Supardam; Hadi Prayitno
Dinasti International Journal of Digital Business Management Vol. 4 No. 6 (2023): Dinasti International Journal of Digital Business Management (October-November
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijdbm.v4i6.2114

Abstract

The airport terminal is one of the impacts of Covid-19 which can still be felt with a decrease in the number of arriving passengers and the number of departing passengers. The sentani international airport terminal adjusts airport activities along with normalization after covid-19. The purpose of this study was to determine the number of arriving passengers and the number of departing passengers at the Sentani International Airport terminal by forecasting using the ARIMA forecasting method. This research method uses the ARIMA method. The results show that the best model for forecasting the number of incoming passengers is the ARIMA (1.1.1) model with an RMSE value of 31433.34, MAE of 23993.72, and MAPE of 5207.000, and the number of departing passengers with the ARIMA (1.1.1) model with RMSE of 25220.27, MAE of 18720.95, and MAPE of 11690.43. The ARIMA model can provide accurate forecasts if conducted over a short or brief time frame.
The Effect of Perceptions, Study Program Accreditation, and Promotion on the Decision to Choose the Air Transportation Logistics Management Study Program at Jayapura Aviation Polytechnic Musri Kona; Rifqi Raza Bunahri; Dhian Supardam; Hadi Prayitno
Dinasti International Journal of Digital Business Management Vol. 5 No. 1 (2023): Dinasti International Journal of Digital Business Management (December 2023 - J
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijdbm.v5i1.2160

Abstract

This study aims to identify the influence of perception, study program accreditation, and promotion on student decisions in choosing the Air Transportation Logistics Management study program at the Jayapura Aviation Polytechnic. Data were collected from 381 prospective student respondents and analyzed using multiple regression analysis. The results of the analysis show that perception (? = 0.262, p < 0.05), study program accreditation (? = 1.178, p < 0.05), and promotion (? = 0.291, p < 0.05) have a significant influence on the decision choose a study program. Study program accreditation variable has the most significant influence. Although the Air Transportation Logistics Management Study Program does not yet have study program accreditation, respondents are confident that they have chosen this study program because of the good reputation of the tertiary institution and its graduates have broad job opportunities. The recommendations for the Jayapura Aviation Polytechnic are strengthening marketing strategies with effective promotion, obtaining study program accreditation, and maintaining a good reputation. This will increase the attractiveness of the study program and meet the needs of prospective students.
Co-Authors Andi Frianto Perangin Angin Cris Kuntadi Dhian Supardam Hadi Prayitno Jemi Victor Palpialy Musri Kona Musri Kona Musri Kona Nikolas Makanuay Pipa Biringkanae Tiara Nugrahayani Tiara Nugrahayani Ukkasyah Sabbit Aqdamana Lubis