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Berthing time in the port of Tanjung Priok, Jakarta, Indonesia
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This research aims to know and analyze the contribution of Truck Waiting Time and Crane Operator Waiting Time through Box Crane Hour to Berthing Time. The model of data analysis in this research uses the approach of the Path Analysis model. The research uses secondary data with time series from the data from the performance report of cargo ships berthed in Terminal 3. The samples used in this research are saturated samples in the form of the data of four variables for 36 months from 2016 to 2018 after the implementation of the Terminal Operating System (TOS). Some of the results of the hypothetical test state that the hypotheses having significant contributions are the variable of Truck Waiting Time to Berthing Time, Crane Operator Waiting Time to Berthing Time, and the variable of Crane Operator Waiting Time to Box Crane Hour. Whereas two hypotheses do not contribute, namely the variable of Truck Waiting Time to Box Crane Hour and the Box Crane Hour to Berthing Time. The Management is also expected to reduce the length of Berthing Time to give satisfaction to the shipping companies as the users by prioritizing the improvement of Truck Waiting Time and Crane Operator Waiting Time so that it will contribute directly to Box Crane Hour and Berthing Time.
Fausta Ari Barata - Personal Name
Prasadja Ricardianto - Personal Name
Ahmad Mulyana - Personal Name
Erni Pratiwi Perwitasari - Personal Name
Dian Artanti Arubusman - Personal Name
Harry Purwoko - Personal Name
ENDRI ENDRI - Personal Name
Prasadja Ricardianto - Personal Name
Ahmad Mulyana - Personal Name
Erni Pratiwi Perwitasari - Personal Name
Dian Artanti Arubusman - Personal Name
Harry Purwoko - Personal Name
ENDRI ENDRI - Personal Name
NONE
electronic file
English
Growing Science
2022
Canada
Uncertain Supply Chain Management 10 (2022) 1387–1396
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