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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 Most Optimal Transportation Policy to Address Carbon Emissions: A Bibliometric Analysis, Benchmarking, and Future Research Plan Tiara Nugrahayani; Rifqi Raza Bunahri; Musri Kona; Dhian Supardam; Hadi Prayitno
Dinasti International Journal of Management Science Vol. 5 No. 2 (2023): Dinasti International Journal of Management Science (November - December 2023)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijms.v5i2.2113

Abstract

This research article examines the role of transportation policies in reducing carbon emissions, focusing on various cities in Indonesia. The study aims to identify the most optimal transportation policies to address carbon emissions and promote environmentally friendly urban development. Bibliometric methods quantitatively analyzed scholarly literature on transportation policies and carbon emissions, while benchmarking methods compared transportation policies worldwide based on carbon emission data and air quality. A total of 100 articles were found in the Scopus database using the keywords 'transportation policy city carbon emission' from 2018 to 2023. The selection was refined to 50 articles with the highest citations and further narrowed down to 31 articles, then to 10 articles focusing on specific city research, and finally to the top 5 articles in Scopus Q1 journals (journals with the highest academic quality and impact) based on benchmarking results as the basis for policymaking. The research results indicate four optimal transportation policy recommendations to address carbon emissions: urban-scale fossil fuel consumption calculations, spatial planning prioritizing sustainable transportation, the use of micro-electric vehicles (micromobility), and increased energy efficiency in transportation. The study also identified under-researched variables related to carbon emission reduction efforts, such as urban airports, climate change mitigation, low-carbon mobility transition, and other future research formulation plans that can be further investigated. This research underscores the urgency of prioritizing the development of sustainable transportation policies to reduce carbon emissions and improve air quality in Indonesian cities.