Automatic Operational Identification System (AOIS) To Detect The Illegal Fishing Practice in Indonesia
Debby Ratna Daniel,Shinta Pratiwi, and Ivana Laksmono
Airlangga University, Surabaya-Indonesia
Abstract
Two-thirds parts of Indonesia territory is oceans that has highly potential of marine and fishery products that should be used to support the Indonesian economy, but it is hurt by the existence of illegal fishing practices by other countries. Our research used quantitative exploratory research methodology which aims to design an operational information system through implementing the automatic identification system by installing the LAPAN Satellite in order to detect the illegal vessels entering Indonesia and to increase the national income from non-tax revenue. The result of research assists in detecting all vessels that doing illegal fishing practices that process can be viewed by data flow diagrams, flowcharts, entity relationship diagrams, and examples of reports and illustrations of notifications. The further research about legal information system can be implemented to deal with illegal fishing.
Keywords: illegal fishing practices, automatic identification system, national income
Topic: Modeling, Simulation and Optimization