The Sri Bintan Pura port is managed by PT Pelabuhan Indonesia (Persero) located on the West coast of Bintan Island, which administratively belongs to Tanjungpinang city—Riau Islands Province—Indonesia. A form of Pelindo’s commitment to providing the best service to terminal service users and passengers is carrying out the development and arrangement of the Sri Bintan Pura passenger terminal with the general spatial plan of the Tanjungpinang city government. The method used is an experimental method with analysis and projections of the growth in the number of loading and unloading goods and the number of boarding and boarding passengers as well as the number of ship visits. Analysis and forecasting projections were done using regression methods based on data since the year of 2005–2018 taken from port operational activity recapitulation. In conclusion, this study aims to contribute to the assessment of views and recommendations on the optimal implementation of development activities so that development activities can be carried out in a structured and comprehensive way, starting from planning, construction, operation, maintenance, and financing that has been completed, thus forming to reduce problems that will arise during the port’s operational time in the future.

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Experimental Study of Forecasting Methods for the Passenger Terminal Development Plan of the Sri Bintan Pura Port

  • Ahmad Taufik

摘要

The Sri Bintan Pura port is managed by PT Pelabuhan Indonesia (Persero) located on the West coast of Bintan Island, which administratively belongs to Tanjungpinang city—Riau Islands Province—Indonesia. A form of Pelindo’s commitment to providing the best service to terminal service users and passengers is carrying out the development and arrangement of the Sri Bintan Pura passenger terminal with the general spatial plan of the Tanjungpinang city government. The method used is an experimental method with analysis and projections of the growth in the number of loading and unloading goods and the number of boarding and boarding passengers as well as the number of ship visits. Analysis and forecasting projections were done using regression methods based on data since the year of 2005–2018 taken from port operational activity recapitulation. In conclusion, this study aims to contribute to the assessment of views and recommendations on the optimal implementation of development activities so that development activities can be carried out in a structured and comprehensive way, starting from planning, construction, operation, maintenance, and financing that has been completed, thus forming to reduce problems that will arise during the port’s operational time in the future.