Unloading equipment is equipment used to assist the process of loading or unloading cargo, such as cargo or bulk cargo from transportation facilities. One example is a conveyor, a mechanical system that can move goods. However, damage often occurs to the conveyor, so an Arduino Mega-based safety device was designed to fulfill the safety aspect. The aim of this research is to find out how to design an Arduino Mega-based safety device system for conveyor unloading equipment using the Research and Development (R&D) method. Using 2 types of testing, namely: static and dynamic testing. Arduino MEGA works fine. If the motor rotates and the conveyor moves, the conveyor is said to be working properly. The safety device on the Arduino Mega-based conveyor was made using Arduino IDE software using the C++ programming language. This safety device is able to secure the conveyor when damage occurs by cutting off the electricity when there is an overload on one of the conveyors so that the entire conveyor stops working. The conveyor series consists of a power supply, box panel, and three conveyors. After the tool has been tested and can work well, the testing is complete and the tool is ready to be used.

The shipping industry faces challenges in reducing environmental impact and increasing operational efficiency. Among them are the expansion tanks on ship engines which play an important role in maintaining the pressure and water quality of the engine cooling system, which is still run manually on some ships. This can result in the risk of engine damage due to overheating or unstable pressure. Manual water filling that requires crew supervision can cause operational instability. This research designed a prototype of an automatic water filling system for expansion tanks, using microcontroller-based automation technology and an Internet of things system to make monitoring easier. This system aims to increase efficiency and reduce the risk of engine damage, thereby supporting the sustainability of ship operations in the future. In the trials that have been carried out, this tool is able to operate the expansion tank filling automatically and efficiently. The distance sensor used has high accuracy with a largest error of 1.6%, and an average error of 0.01%. Integration with the Internet of Things system can run well and reliably with 100% success and latency of 0.5 – 1 second. The system's overall success rate is 80%. So the system can be used in real working conditions