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A Modest Numerical Simulation for Automatic Ship Collision Avoidance System to Support Green and Autonomous Shipping Concept Hermawan, Yuda Apri; Pratama, Fernanda Wahyu; Yulianto, Totok; Purwanto, Dedi Budi
International Journal of Offshore and Coastal Engineering (IJOCE) Vol 7, No 1 (2023)
Publisher : Pusat Publikasi Ilmiah Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25800914.v7i1.15530

Abstract

The development of autonomous ship is being pursued massively and significantly, either industrially, regulatory, or academic. The autonomous ship is considered to be able to significantly reduce challenges caused by unexpected errors of manual navigation (manned ship). One of the challenges for autonomous ship development is constructing an automatic ship collision avoidance system as a basic system for identifying and avoiding an obstacle object around the ship. The collision avoidance system must consider not only the position of the ship and the obstacle but also the maneuvering characteristic (ship dynamics) and control system of the ship, thereby making its numerical system more complex. This research presents a modest numerical simulation for designing an automatic ship collision avoidance system. However, the numerical model still considers the main necessary elements of the system. The numerical model includes a set of automatic guidance system, collision avoidance system, ship dynamics, and control system. Head on head, overtaking, and crossing collision scenarios are performed to investigate the numerical model. The simulation results show that the modest numerical simulation can be used to perform an automatic ship collision avoidance system in which the ship can automatically avoid a target ship considered as the ship’s obstacle in those three collision scenarios.
Design of Internet of Thing (IoT)-based Control and Monitoring System of Eco-Aquaculture Hervianto, Jonathan; Widjaja, Raden Sjarief; Megawati, Sintia; Hermawan, Yuda Apri; Yulianto, Totok
International Journal of Marine Engineering Innovation and Research Vol 10, No 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i2.22648

Abstract

Aquaculture plays a vital role in global food supply, contributing nearly 43% of the food consumed by humans. The rapid growth in aquaculture production demands a significant amount of electricity, which accounts for approximately 40% of the total energy costs. The primary energy sources in aquaculture used fossil fuels, it can be reduced by utilizing alternative energy sources. This research aims to develop a prototype of a floating net cage using an Internet of Things (IoT)-based water quality monitoring system powered by solar energy. The water quality parameters monitored in this study include temperature, pH, salinity, and dissolved oxygen levels. The sensors used for monitoring these parameters have undergone testing. The results indicate that the sensors can perform accurate measurements with over 90% accuracy. The solar panels installed in the system are capable of generating sufficient power to meet the operational demands, allowing the system to operate for approximately two days without sunlight. By maintaining well-controlled aquatic environmental conditions through IoT-based monitoring and control systems supported by renewable photovoltaic solar energy, environmentally friendly aquaculture operations can be conducted efficiently and productively. Ultimately, this leads to the production of high-quality aquaculture products, cost-effective operations, and the utilisation of eco-friendly energy sources.