FORECASTING AIR CARGO BUSINESS REVENUE BASED ON THE DEMAND FOR INTERNATIONAL AIR CARGO IN INDONESIAN AIRPORTS USING ARIMA TIME SERIES ANALYSIS
This thesis focuses on forecasting the revenue potential of an air cargo business based on the demand for international air cargo in Indonesian airports using the ARIMA (Autoregressive Integrated Moving Average) time series analysis. With the increasing importance of air cargo in global trade, un...
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| Format: | Theses |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/75984 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | This thesis focuses on forecasting the revenue potential of an air cargo business
based on the demand for international air cargo in Indonesian airports using the
ARIMA (Autoregressive Integrated Moving Average) time series analysis. With
the increasing importance of air cargo in global trade, understanding and predicting
revenue trends are vital for strategic decision-making and operational planning.
This study utilizes historical data on international air cargo demand, economic
indicators, and other relevant factors to develop an ARIMA model for revenue
forecasting.
The findings provide a detailed and accurate insight into the potential revenue
opportunities for air cargo businesses operating in Indonesian airports, enabling
them to optimize resource allocation, pricing strategies, and capacity planning.
The analysis also identifies key factors influencing air cargo revenue, such as trade
patterns, economic fluctuations, and infrastructure capabilities, thereby assisting
stakeholders in making informed decisions to enhance their competitiveness in the
market. Ultimately, this research contributes to the body of knowledge on revenue
forecasting in the air cargo industry and offers practical implications for industry
practitioners and policymakers in Indonesia.
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