This study aims to determine the Analysis of Operational Factors, Tariffs, Facilities and Safety Against Guidance Services at PT. Port of Indonesia (Persero) Regional 4 pelabuhan Bitung This research was conducted on employees of the Shipping Agency working area of ??Tanjung Redeb as a population. Data was collected through the methods of Observation, Literature Study, Interview, Documentation and Questionnaire. The analytical technique used is based on the results of research and multiple analysis with the help of the SPSS V.26. Here’s the result from research of regression : Y = -0,219 + 0,308X1 + 0,200X2 + 0,192X3 + 0,349X4 + µ. The multiple linear regression equation can be seen that the most dominant variable influencing the guidance is the safety variable with a regression coefficient of 0.349. With the coefficient of determination (Adjusted R square) the results obtained are 0.837 or 83.7%, which means that the guidance at PT. Port of Indonesia (Persero) Regional 4 Pelabuhan Bitung is influenced by operational variables, tariffs, facilities and safety which is 83.7% and other factors that affect the guidance of PT. Port of Indonesia (Persero) Regional 4 Pelabuhan Bitung is 16.7%. Thus the results of the study indicate that Operations, Tariffs, Facilities and Safety have a positive and significant effect on the PT. Port of Indonesia (Persero) Regional 4 Pelabuhan Bitung.

This research was carried out to determine the factors that influence telecommunications equipment, ship  crew resources, ship seaworthiness and pilotage of cruisers at Bukit Batu port. Data collection was carrie d o ut th r o u gh observation, literature study, interviews, documentation and questionnaires. Th is research uses a non-probability sampling technique, namely the ce ns u s me th o d . The data analysis used in this research is descriptive and quantitative analysis. The data is analyzed using multiple linear regression analysis with the help of th e Statistical Pack age For Social (SPSS) version 25 software. Based on the research results, it can be seen that the research model of the multiple linear regression equation is Y= -0.219 + 0.308.X1 + 0.200.X2 + 0,192.X3 + 0.349. X4 + µ. Where the variables Safety (Y), Telecommunication Equipment (X1), Crew Resources (X2), Ship Seaworthiness (X3) and Guidance (X4) were tested using the t test showing that the four independent variables partially have a significan t influence on consumer decisions as the dependent variable. The Adjusted R Square figure of 0.837 shows that 83.7 percent of consumer decision variables can be explained through the four independent variables in the regression equation. Meanwhile, the remaining 16.3 percent is explained by other variables outside the four variables used in this research.

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.