The Nabire Port is the hub for pioneer ships in the Central Papua Province. The Nabire Port serves approximately 100,000 passengers per year. The lack of passenger facilities is a crucial problem in passenger services at the Nabire Port. To improve passenger services and sea transport safety, the development of a passenger terminal at the Nabire Port must be implemented immediately. The development plan at the Nabire Port passenger terminal will use the number of passengers as the variable to determine the port’s dimensions. The method in this study is an experimental method carried out to determine the best forecasting model. Experiments were carried out using the Minitab application by trying five forecasting methods: trend analysis, moving average, single exponential smoothing, double exponential smoothing, and Winter’s method. The results of the experiment are a forecasting method with the smallest accuracy value. Winter’s method has the smallest value of MAPE = 30, MAD = 45,194, MSD = 2,784,639,766. The study’s conclusion is a prompt recommendation and justification for the development of a passenger terminal at the Port of Nabire. Furthermore, the study can be deepened by conducting a primary survey to obtain more accurate results that can be used as a technical justification.

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Experimental Study of Forecasting Methods for the Passenger Terminal Development Plan of the Nabire Port

  • Lely Mareta Lestari,
  • Mauritz Halomoan Manontang Sibarani,
  • Yunika Fitrianti

摘要

The Nabire Port is the hub for pioneer ships in the Central Papua Province. The Nabire Port serves approximately 100,000 passengers per year. The lack of passenger facilities is a crucial problem in passenger services at the Nabire Port. To improve passenger services and sea transport safety, the development of a passenger terminal at the Nabire Port must be implemented immediately. The development plan at the Nabire Port passenger terminal will use the number of passengers as the variable to determine the port’s dimensions. The method in this study is an experimental method carried out to determine the best forecasting model. Experiments were carried out using the Minitab application by trying five forecasting methods: trend analysis, moving average, single exponential smoothing, double exponential smoothing, and Winter’s method. The results of the experiment are a forecasting method with the smallest accuracy value. Winter’s method has the smallest value of MAPE = 30, MAD = 45,194, MSD = 2,784,639,766. The study’s conclusion is a prompt recommendation and justification for the development of a passenger terminal at the Port of Nabire. Furthermore, the study can be deepened by conducting a primary survey to obtain more accurate results that can be used as a technical justification.