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This quantitative study analyzes the influence of Ship Docking Schedule (X1), Port Availability (X2), and Loading and Unloading Productivity (X3) on Vessel Waiting Time (Y) at Tanjung Intan Cilacap Port. Data were collected through questionnaires administered to 86 vessel crew respondents and analyzed using Multiple Linear Regression (SPSS v.26). The t-test results indicate that X1, X2, and X3 individually exert a positive and significant influence on Y.1 The regression model demonstrates robust predictive power, explaining 55.2% of the variance in vessel waiting time (R^2{adj}=0.552). Based on the standardized beta coefficients, the Ship Docking Schedule (X1, \beta=0,385) is identified as the most dominant factor, followed by Loading and Unloading Productivity (X3, \beta=0,302) and Port Availability (X2, \beta=0,307).1 This finding confirms that optimizing maritime logistics performance, particularly in bulk terminals facing physical constraints, requires prioritizing procedural efficiency and scheduling accuracy.

This research is mainly aimed at improving the way of discharging coal at PLTU Rembang, which is one of the power plant business units of a subsidiary of PT PLN located in Sluke District, Rembang Regency, Central Java Province. It maps the dimensions of the discharging speed using conveyor and grape . Data collected through surveys to coal shipping companies are regressed in the Linear Regression model. The results show that two characteristics of discharging services with conveyors and grapes affect time and cost (1) The duration of coal discharging (2) The cost of coal discharging. using qualitative and quantitative primary and secondary by direct observation to the field and data collection then the data is processed using multiple linear regression, the targeted outputs are national journals, national seminars, monographs.