Electrical energy on fishing vessels is an unavoidable energy requirement, the electric source on board is obtained from an electric generator which is generally driven by a diesel engine. Electrical energy on fishing vessel is used for lighting, navigation purposes and assisting fishing activities to loading and unloading. The electric generator on fishing vessel will operate properly and have a long service life if the load applied to the generator does not exceed the load factor limit. Researchers carried out several stages, i.e: identify the electric power distribution system, identify the generator capacity and electrical load received, calculate the electrical load on different operational conditions. In this study, it is also known that the operating efficiency of the generator under four different operational conditions. The results of the research, this fishing vessel uses a radial electrical distribution system; using two units of electric generator with identical specifications, each has a capacity of 225 kVA; the generator operates efficiently in all operational conditions with a load factor of 79.70% to 83.08%.

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Determining the maintenance strategy for fishing vessels propulsion engines can use engine operational monitoring data. This data is used to prepare the implementation time, spare parts, labor, and costs. Unfortunately, many fishing vessels do not have this data. Currently, electronic devices are available for monitoring machine operations. This device is cheap, easy to use, takes responsibility for various physical quantity parameters, displays it on LCD, stores it digitally, and transmits data wirelessly. This paper aims to review the application of engine operational monitoring tools to apply to fishing vessel propulsion engines. The material used is scientific articles consisting of journals and proceedings indexed by online databases. Several keywords are used to obtain scientific articles that are suitable for the study. The method used is a literature review that is systematically reviewed by applying inclusion and exclusion. The results obtained in this article are the parameters for monitoring propulsion engines, namely temperature, pressure, rotational speed, and hours the engine runs. The monitoring device requires sensors to detect physical parameters, a microcontroller to process data, an LCD to display monitoring results, and memory to store data to obtain this data. The device supports wireless communication via Bluetooth or WiFi radio signal. Fishing vessels are operating in offshore areas that are not covered by internet networks as IoT communication transmissions. Further research on how to transmit operational engine data from offshore to onshore without an internet signal so that data can be accessed using the internet network.