Illegal, Unreported and Unregulated (IUU) Fishing and Transshipment Identification System Design Towards a Resilient Indonesian Marine

The Indonesian sea, as one of the main trade routes in the world, is very vulnerable to infringing practices, including Illegal, Unreported, and Unregulated (IUU) fishing and transshipment. Therefore, strong fisheries and marine regulations are imperative to uphold the principles of state sovereignty, ecosystem sustainability, and people's welfare. One of the strategies to improve Indonesia’s maritime security is through the design of systems that identify all forms of sea infringements. This study designs an IUU fishing and transshipment identification system using the fuzzy type 2 (SLF-type-2) method. The dynamic data input variable is obtained from Automatic Identification System data by building 3 subsystems, which are the selector subsystem, the IUU transshipment decision maker, and the IUU fishing decision maker. The test is carried out in two ways that involve the generation of ship motion pattern data and the validation of ship data. The results showed that the constructed identification system successfully identified IUU fishing and IUU transshipment actions, with a maximum accuracy of 85.0377% and a minimum accuracy of 75.5%.