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 research focuses on designing the shortest path to a docking station for the charging system of a robotic coffee delivery system on a cruise ship. With the growing demand for more efficient and innovative services in the maritime industry, autonomous robots are increasingly being used for tasks such as delivering coffee to passengers. However, these robots face unique challenges in the confined and dynamic environment of a ship, particularly in terms of power management and recharging. The goal of this research is to create an efficient charging system using a power bank and Internet of Things (IoT) technology to minimize downtime and ensure continuous robot operation with minimal human intervention. By utilizing sensors such as the MPU 6050 for motion detection and the TCS 3200 for color recognition, the robot can autonomously navigate the shortest path to the docking station for charging, while IoT enables real-time battery capacity monitoring. This helps reduce the time spent on non-operational tasks and improves the overall efficiency of the system. This research not only enhances the robot’s ability to operate autonomously in complex environments but also provides a flexible and scalable solution for the maritime industry to integrate advanced robotics into their service operations. The results of this study contribute to the increased adoption of autonomous systems in the maritime sector, particularly in improving service efficiency on board, reducing the need for human intervention, and ensuring smoother service delivery to passengers.

The tool that detects human movement has been designed with a passive infrared sensor based on Arduino ESP32 which can send messages via SMS to the ship's security system. This is the background to the need to improve the security system on ships. The aim of this research is to find out the movement in the ship's engine room. This system can find movements. This tool can detect a maximum distance of 6 m. This system consists of software and hardware that allows sensors to detect human actions. The software uses the C+ language program and is used on the Arduino ESP32. Press the switch to activate this device. A message will be sent to the owner's smartphone if there is movement. Methods and tool system design for applied scientific work that will be carried out using prototype research methods. Prototype research methods are used to produce certain products, and test their effectiveness. The results of the research in this applied scientific work are the level of accuracy of the PIR sensor which detects human movement at a maximum distance of 6 meters and sim800L as a message sender to Android. Beyond that the data is unreadable and invalid.

The purpose of this research is to find out whether the quality of e-ticketing can provide satisfaction to consumers, what is consumer satisfaction with the services provided by e-ticketing, and to find out the effect of e-ticketing quality on consumer satisfaction at PT ASDP Ketapang Branch. The population of this study is all passengers who purchased tickets online at PT ASDP Ketapang branch, the sample used was 30 people. The data analysis techniques used are quantitative descriptive analysis techniques, simple linear regression analysis, classical assumption tests, hypothesis tests and coefficient of determination tests (R2). Based on the research results, it can be seen that the quality of e-ticketing can provide satisfaction to consumers or passengers who use ship services belonging to PT ASDP ketapang branch Banyuwangi, apart from that consumers/passengers are satisfied with the services provided by PT ASDP Ketapang branch Banyuwangi related to the existence of e-ticketing. ticketing or purchasing tickets online. Based on the calculation results, it is known that R square has a value of 0.667 or 66%. This shows the magnitude of the positive influence of E-Ticketing Quality on PT ASDP Ketapang branch , Banyuwangi (Y) is 66%, the remaining 34% is the influence of other factors.

Container services are services related to the use of containers or containers in the process of shipping goods. The container itself is a special container used to pack and transport goods efficiently, especially in trade. In the process of putting goods or stuffing goods that are packaged in the form of pallets, metal boxes and bulk. The process to enter a 20-foot or 40-foot container is determined by the number of buyer requests. The author chose qualitative descriptive research because this research is in accordance with the nature of the author's research which is descriptive and uses interview techniques, documentation, and others. In addition, this research is also in accordance with the practical research objectives. Mistakes in container stock management can have a devastating impact on the company, such as damage to goods, additional costs, and a tarnished reputation. To improve container loading and unloading services, companies need to improve communication, employee training, truck checks, forklift maintenance, and collaboration with service users. The process of shipping goods through the port involves various stages and parties such as consignees, suppliers, shippers, and field executives. The results of the study can be found that the process of container loading and unloading services in expedition companies experiences various obstacles, such as late truck drivers, delays in sending documents, shortage of containers, damage to container moving equipment at the depot, delays in the start of working hours, and too many containers that do not comply with the specifications by the exporter.

The Unmanned ships have become a primary focus in maritime technology development to enhance efficiency and navigational safety in waters. In this research, a unmanned ship utilizing ESP32CAM as its core system is designed to detect navigation lights of other vessels and avoid potential collisions. The initial response of the ESP32CAM camera reads the colors of lights approaching the unmanned ship within a distance of less than 100cm. The ESP32CAM reads and identifies colors through image processing. When the ESP32CAM detects green and red lights, it commands the buzzer to sound. The color detection system works such that when the ESP32CAM detects a red light, it sends a signal to the servo motor to move left, and when it detects a green light, it sends a signal to the servo motor to move right. The servo motor functions as the ship's rudder. Testing of the navigation light system with ESP32CAM camera to prevent ship collisions is conducted with predetermined scenarios, including testing with red LEDs, green LEDs, and overall system testing. The results show that the navigation light system with ESP32CAM camera functions well. The ESP32CAM camera can optimally identify light colors at a distance of 100cm. Based on the conducted research, the ESP32CAM camera is capable of reading both the distance and colors of lights as specified at a distance of 100cm.