Vessel automatic operational identification system (AOIS): A proposed system to prevent illegal fishing in Indonesia

Debby Ratna Daniel, Shinta Pratiwi, Ivana Laksmono

Research output: Contribution to journalArticlepeer-review

Abstract

Two-thirds of parts of Indonesian territory is oceans that have a high potential to produce marine and fishery products that should be used to support the Indonesian economy, but this is affected by the existence of illegal fishing practices carried out by other countries. Our research used a qualitative 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 this research assists in detecting all vessels carrying out illegal fishing practices, in that the process can be viewed using data flow diagrams, flowcharts, entity relationship diagrams, and examples of reports and illustrations of notifications. Further research about legal information systems can be implemented to deal with illegal fishing.

Original languageEnglish
Pages (from-to)248-264
Number of pages17
JournalInternational Journal of Innovation, Creativity and Change
Volume10
Issue number12
Publication statusPublished - 2020

Keywords

  • Automatic identification system
  • Illegal fishing practices
  • National income

Fingerprint

Dive into the research topics of 'Vessel automatic operational identification system (AOIS): A proposed system to prevent illegal fishing in Indonesia'. Together they form a unique fingerprint.

Cite this