ANALYSIS PASSENGER VOLUME AGAINST THE FORECAST OF CAPACITY REQUIREMENTS FOR WAITING ROOM FACILITIES AT HALU OLEO AIRPORT IN 2045

Abstract

The wide capacity of Halu Oleo Airport waiting room has 4.236 m² which is currently only able to accommodate 730 peak-hour passengers. The perfect airport development planning is a need in analyzing the capacity requirements for waiting room facilities with passenger data support for the last 5 years in order to create a sense of comfort and prevent the passenger stacking in 2045. The study aims to forecast the total number of passenger and to calculate the capacity requirements for waiting room facilities at Halu Oleo Airport in 2045. Applying the linear regression method to predict the number of passengers over the following twenty-one years. The number of passengers during peak hours is also calculated using this method to determine the capacity needed for waiting room facilities. The SPSS software furthermore employs a straightforward linear regression technique. To ascertain the impact of an independent variable on the dependent variable, one regression technique that can be utilized as a statistical inference tool is simple linear regression analysis. In 2014-2018, the average increase in passengers was 17.2% so in 2045 the predicted number of passengers reached 6,981,470 pax/year. Following calculating the total, it was determined that 3,491 passengers could be accommodated during peak hours, with 1,781 passengers departing and 1,710 arriving. For the number of passengers, the need to expand and increase the capacity of facilities includes a departure waiting room of 5,878 m², 588 seats, public facilities (toilets) of 768 m², and security gates (centralized) as many as 9 pairs of WTMD, HHMD, and x-ray units.