EXPERT SYSTEM TO DIAGNOSE FISH DISEASES BILLING USING BAYES

  • Hermawan Adi Nugroho
  • Veronica Lusiana
Keywords: Keywords : Bayes Algorithm, Tilapia, Expert System.

Abstract

ABSTRACT

 

                Tilapia is one type of freshwater fish has been cultivated because of abundant benefits. However, due to the lack of knowledge of farmers about the disease in tilapia resulted in the lack of crops from these fish.

 

                Consultation of fish diseases to a specialist of course very reliable, because an expert always mastered the field he was based on the science and experience.

 

                The goal to be achieved is to create an expert system application that is useful as a tool to get information in diagnosing tilapia disease. The result of this research is expert system to diagnose tilapia disease using bayes algorithm to solve the problem of tilapia fish disease diagnosis, because it can give diagnosis result with probability value occurrence of each kind of disease.

References

DAFTAR PUSTAKA
[1] Verawaty Monica Barus, Mesran, Suginam dan Abdul Karim. 2017. Sistem Pakar Untuk Mendiagnosis Hama Pada Tanaman Jambu Biji Menggunakan Metode Bayes. STMIK Budi Darma. Medan.
[2]Elfani, Ardi Pujiyanta. 2013. Sistem Pakar Mendiagnosa Penyakit Pada Ikan Konsumsi Air Tawar Berbasis Website. Universitas Ahmad Dahlan. Yogyakarta.
[3] Giarratano, J. dan Riley, G..2005. Expert System Principles and Programming. Boston : PWS Publishing Company.
[4] Budhiarto, Widodo. Derwin Suhartono. 2014. Artificial Intelligence : Konsep dan Penerapannya. Yogyakarta : Andi Offset.
Published
2019-05-27
How to Cite
Adi Nugroho, H., & Lusiana, V. (2019). EXPERT SYSTEM TO DIAGNOSE FISH DISEASES BILLING USING BAYES. Information Technology and Telematics, 8(2). Retrieved from https://unisbank.ac.id/ojs/index.php/fti3/article/view/6555
Section
Articles