• DocumentCode
    3734003
  • Title

    Expert system for diagnosis of Discus fish disease using fuzzy logic approach

  • Author

    Novita Hanafiah;Kelvin Sugiarto;Yulius Ardy;Ruben Prathama;Derwin Suhartono

  • Author_Institution
    Computer Science Department, Bina Nusantara University, Jakarta, 11480, Indonesia
  • fYear
    2015
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    Discus fish is a favourite fish because of its beauty and unique characteristic, ranging from a variety of style, colour and shape. This fish has become one of the profitable business opportunities for fish farmers, mainly for export to overseas because the price is quite expensive. However, Discus fish is difficult to maintain since it is susceptible to various diseases. An expert system application utilizing fuzzy logic is presented to resolve this problem by diagnosing diseases of the discus fish. It is expected to help beginner fish farmers to detect the disease in the earliest time. Besides diagnosing, this desktop-based application can be exploited to get more information about the diseases in order to prevent and treat the Discus fish. The algorithm shows a good result which achieves 90.32% of accuracy.
  • Keywords
    "Diseases","Expert systems","Fuzzy logic","Clouds","Artificial neural networks"
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communications (ICCC), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4673-8125-3
  • Type

    conf

  • DOI
    10.1109/CompComm.2015.7387540
  • Filename
    7387540