KSOP Class III Tanjung has a big responsibility in ensuring that the guidance service runs smoothly. However, the realization of the availability of guided facilities and infrastructure is still not in accordance with the state of the field. This study aims to calculate the adequacy level (ideal) of human resources, facilities and infrastructure for ship guidance according to the report of guiding activities. This research is quantitative descriptive with a formula method or an empirical calculation formula of the level of adequacy, used as a reference or reference provided by the Directorate General of Ports. The results of the study show that there is an excess of Human Resources (HR) and Guidance Infrastructure amounting to 2 guides and 1 kepil ship. The factor that affects the calculation of the ideal result is the characteristics of the vessel's guiding area.

The shipping industry is closely related to economic growth in various countries. This transportation is very dependent on export and import activities. As the country's economy improves, especially in Asia, the maritime transportation business in Indonesia will also develop. The pattern of sending goods via sea transportation has changed, especially in terms of bulk transportation. which demands modern technology such as automation and intelligent control systems. This research aims to design and develop Android-based spreader control using Arduino Mega 2560 on a floating ship. This project is designed to increase efficiency and ease of operation in the loading and unloading process on ships, which previously still used manual control with a remote control or joystick which had limitations such as limited visibility. In this research, the spreader control system is connected to an Arduino Mega 2560 microcontroller via the HC-05 Bluetooth module, allowing the operator to control the spreader via an Android device. Test results show that data is obtained at a distance of 1 to 13 meters, the Android-based spreader control system shows a response time ranging from 1 to 9 seconds, which shows that the system is functioning properly. At a distance of 14 to 19 meters, the response time increases to 18 seconds, indicating quite good system performance. This shows that there is quite significant latency in data transmission. However, the system still managed to carry out spreader control well. At 20 meters, the system failed to respond to the spreader control. This shows that the effective range of this Bluetooth module is below 15 meters. This research makes a significant contribution to the development of automatic control technology in the shipping industry, especially in the use of intelligent control systems integrated with mobile devices.

In the operation of ships, there are a lot of jobs, both light and heavy, that have a high risk to occupational safety. Work accidents do not only occur on land, but work accidents often occur on ships. The research method used is qualitative, namely data collection through documentation, observation, and interviews with data analysis techniques using Fishbone Diagrams to determine what are the possible obstacles in the implementation of the use of personal protective equipment, factors that cause work accidents in the crew, and efforts made to optimize the implementation of occupational safety and health on board and determine the priority of problems. By using Fishbone Diagram as a data analysis technique, the root cause of the problem can be found. Based on these data analysis techniques, the causes of work accidents on ships often occur due to lack of awareness, low supervision, and lack of understanding of the crew at work. In addition, there are also other factors, namely work equipment that is not suitable for use. Work accidents can be prevented if the company's leadership and all executives are committed to developing and implementing effective occupational safety and health procedures. This includes instilling awareness of the importance of work safety, direct guidance and supervision to the crew of ships, as well as the establishment of a safety management system supported by skilled human resources and adequate safety equipment facilities. The implementation of optimal K3 procedures will create a safe and efficient work environment, so that ship operations can run smoothly and work accidents can be prevented.

Internal audit activities are carried out to meet and implement the Safety Management System (SMS) rules so that safety on board ships is implemented in accordance with the ISM Code. In addition, an internal audit conducted by a shipping company can minimize the findings of an external audit of the Safety Management System (SMS). The purpose of this research is to find out the implementation process, obstacles and solutions for the implementation of MV internal audit. Dewi Shinta Manggala. The method carried out in this study is qualitative descriptive. Data collection was carried out by in-depth interviews, observations, and documentation. The results of the study show that the obstacles faced in the obstacles experienced in the internal audit process are the unsuitable time between the ship's schedule and the auditor resulting in delays, crew ratings that are not optimal in implementing the Safety Management System (SMS), and the crew's understanding of the Safety Management System (SMS) on board the ship which is considered to be still lacking. So that the efforts that must be made, namely the company's internal parties communicate well with each other, the company gives strict sanctions to crews who do not optimally implement SMS, the company requires crews to attend SMS training.