This research aims to examine what factors influence the level of customer loyalty of GeraiHALO Telkomsel Wonosobo, Central Java. The population in this study are customers who have subscribed or are currently subscribing to Telkomsel Kartu HALO, simPATI and AS product services, having subscribed for at least six months. Determining the sample in this research used the probability sampling method. This analysis uses the Importance Performance Analysis (IPA) method which is used to determine the level of importance and perception (expectations) of the Marketing Mix towards customer satisfaction implemented by the company. The results of the IPA analysis show that the dominant factors influencing customer loyalty are product quality, price, distribution variables. and promotion variables in this research are quite good in explaining customer perceptions. The author's advice to companies is that companies create products that are superior in quality, and always maintain product quality, namely by always innovating products that are tailored to customer desires for the product. Apart from that, companies must always pay attention to customer complaints by minimizing customer complaints.

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 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 aims to analyze the comparison of financial performance of banks before and after the adoption of International Financial Reporting Standards (IFRS) in Indonesia. The type of data used is secondary data taken from the balance sheets of banks listed on the Indonesia Stock Exchange (IDX) for the period 2010-2013. The variables used are financial ratios with Capital Adequacy Ratio (CAR), Return on Assets (ROA), Return on Equity (ROE), Loan to Deposit Ratio (LDR) and Non Performing Loan (NPL) indicators. This study uses quantitative methods, data were analyzed with a paired t-test. The results show that the implementation of IFRS has no impact on the financial performance of banks, because in principle the implementation of IFRS is not directly aimed at improving performance.
 

There are many activities in the logistics and supply chain management process, starting from the origin of goods (upstream) to the final consumer (downstream), to prepare maritime human resources, especially graduates of the commercial and port shipping management study program, it is necessary to focus on 3 (three) main activities, namely: 1) Procurement; 2) Storage (warehousing); and 3) Delivery. The development of industry and technology that continues to change and is dynamic, as well as the impact of the current covid 19 pandemic where the business logistics and courier service sector is a business sector that has an important role in goods delivery services which is also influenced by people's behavior in online shopping activities or e-commerce. commerce. Vocational higher education, such as diploma three study programs, management of commercial shipping and ports, maritime faculty, Amni Maritime University, Semarang, of course, has the opportunity to prepare human resources and develop their cadets to adapt to the needs of the world of work based on logistical competence and supply chain management so that graduates Commercial and port shipping management study programs can be directly ready to use / plug and play / link and match with the real world of work.

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.