Artificial Intelligence Diagnosys System of Ribbon Diseases using forward Chaining Method (Case study of Pringsewu District)

Authors

  • Tri Susilowati
  • Rinawati ​
  • Sucipto ​
  • Suyono ​
  • Phong Thanh Nguyen
  • Ivan Aditya

Abstract

The large number of buffaloes in the Pringsewu Regency is not matched by the number of veterinarians. Department of Fisheries and Animal Husbandry (Dinkanak) of Pringsewu District recorded 961 cases of buffalo sick with 39 types of buffalo disease in 2016, plus the cost of bringing in doctors to treat buffalo sick was still expensive for farmers. To overcome this problem, this study aims to create a website-based expert diagnosis of Buffalo disease using the Forward Chaining method to help Buffalo farmers identify Buffalo disease and its treatment. For the development of expert systems this research uses the RAD (Rapid Application Development) method. To ensure the quality of the expert system, testing using three approaches of Validation comparing the results of the Expert System diagnosis with the doctor where the accuracy of the expert system diagnosis is 85% that the application can help to diagnose Buffalo disease and the expert system is quite easy to operate.

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Published

2019-12-09

Issue

Section

Articles