Extreme climate change in Indonesia, caused by air pollution from the use of fossil energy, has encouraged the development of renewable energy technology, including Wind Power Plants (PLTB). This technology is increasingly important for providing clean energy, especially in the maritime industry. The aim of this applied scientific work is to provide a battery charging solution when the emergency battery charger charging system on commercial ships experiences problems. To make it easier to monitor the power produced by wind power plants and also battery capacity via a smartphone application in real time. The method used in this applied scientific research research is experimental. The results of calculating the average power during testing at night show an average power of 10.22 Watt/min and an average current of 0.78 A. So it can be concluded that battery charging takes 11.53 hours. Meanwhile, the results of calculating the average power during testing during the day show an average power of 13.41 Watt/min and an average current of 1.02 A. So it can be concluded that charging the battery lasts for 8.82 hours. From the two data obtained, it can be concluded that charging is optimal during the day because the efficient charging time is 8.82 hours.

The aim of this study is to design a battery charging system using solar panels, integrated with an IoT-based monitoring system to improve efficiency and ease of supervision. The system utilizes the photovoltaic effect to convert solar energy into electrical energy, which is then stored in a battery through the regulation of a solar charge controller. The main components in this design include a solar panel, lead-acid battery, ESP32 microcontroller, current and voltage sensors, and the Blynk application for remote monitoring. The research method involves several stages, including the design of hardware such as solar panels, current and voltage sensors, and a step-down regulator, as well as software development using the Blynk platform and ESP32 programming. Test results show that the system is capable of achieving charging efficiencies between 89.45% and 99.57%, with optimal performance under clear weather and maximum sunlight conditions. The IoT system performs well up to a distance of 10–15 meters, with an average data transmission delay of less than 1.5 seconds. Therefore, this device proves to be effective as an independent battery charging and energy monitoring solution in locations without permanent electricity access.

This applied scientific work is entitled "Design of Automatic Smart Berthing System Based on Arduino". Ships are a comfortable alternative transportation. Currently, ship development is needed so that they can operate properly. During the docking process, ship accidents often occur in ports both nationally and internationally. Therefore, a better development or safety is needed that can be given to ships during the docking process. This tool uses the Arduino Nano microcontroller as the main control and an ultrasonic sensor as a distance counter to prevent accidents. This applied scientific work aims to realize and facilitate work on the ship by abandoning manual methods. Berthing is the location of the ship's mooring or security, the area around the ship where the anchor is thrown, the ship's residence, employing the ship's crew and positioning the ship in the desired place. This scientific paper uses experimental research as its research method. The use of experimental research methods in educational research will be faced with problems concerning research subjects. Experimental research is also research that is carried out intentionally by researchers by providing certain treatments to research subjects in order to create a tool or design that is expected by the researcher.

Unmanned Surface Vehicle (USV) is an unmanned vehicle that is currently being developed in Indonesian waters for the purposes of depth surveys in waters that combine autonomous navigation frames, environmental sensors, multibeam echosounders to collect topography, temperature, and other data that are utilized for the world of shipping. Researchers tested an unmanned ship tool that can move automatically and can determine the direction to a predetermined location. Output. The test results show that the unmanned ship can walk to the planned route. This unmanned ship is equipped with a Micro Air M10G GPS sensor, LoRa Sensor, Arduino Mega 2560 Pro Sensor... In testing as many as 15x experiments were carried out including 10x experiments carried out to turn right and 5x experiments with turning left. The experiments carried out were very effective and according to what had been planned, but there were 4x experiments that had differences from 11x experiments due to water waves and winds that were too large so that the ship was unstable.

The Automatic Identification System (AIS) is a maritime identification and tracking system that must be implemented on certain vessels in accordance with the regulations of the International Maritime Organization (IMO). One of the ways to enhance maritime safety on ships is by utilizing AIS. This research aims to develop a low-cost AIS intended for use on small vessels such as fishing boats. This study utilizes hardware components such as the GPS M8N, Arduino Nano, and LoRa RA-02 module. The LoRa module is chosen for its ability to transmit data over long distances with low power consumption, making it ideal for maritime applications. The Arduino microcontroller is responsible for controlling the entire system, while the GPS M8N is highly effective in achieving accurate positioning within meter-level precision. The Arduino Nano serves as the main component for receiving and processing data from the GPS M8N and LoRa RA-02, then transmitting the data to the receiver. The methodology and system design in this research follow an experimental approach, where at least one variable is manipulated to study cause-and-effect relationships. The test results of the AIS transmitter device indicate that it can successfully transmit call sign, latitude, and longitude data, with a maximum transmission range of 15 meters on land and 13 meters at sea.

In the hold of the fishing boat, it is currently unable to control the pH of the water in accordance with the living environment of the fish. The pH of the water also needs to be considered so that the fish can survive. In addition, fish feeding on fishing vessels is also very necessary. The purpose of this research is to design a system that can control pH, fish feeding, fish water replacement. in the fish hold using an IoT-based microcontroller. The method used in this research uses quantitative methods through system design, design software design models, product trials.This method is used This research method includes steps taken to design and implement the system, as well as tests carried out to ensure the performance and success of the designed system. The results of the data designed by the system are analyzing the data in testing this tool according to its function. The accuracy of using the tool when feeding is 90.5% and the percentage error is 9.5%. The accuracy of using the tool when draining mode is 100% with a percentage error of 0%. And for the results of the percentage error of the pH sensor when the mode is on by 100% with a percentage error of 0%. This shows that the Smart Pond system designed has a high level of accuracy in terms of fish feeding and pond draining.