Sistem Diagnosis Penyakit Hewan Pada Anjing Dengan Menggunakan Metode Naive Bayes

Alfian Himawan (Fakultas Ilmu Komputer, Universitas Brawijaya)
Nurul Hidayat (Fakultas Ilmu Komputer, Universitas Brawijaya)
Mahardeka Tri Ananta (Fakultas Ilmu Komputer, Universitas Brawijaya)

Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 2 No 10 (2018): Oktober 2018

Human pets, dog is a social creature that can interact with each other or humans so that not a few people prefer dogs as pets. However, dogs can also have an infectious disease that can be bad for humans, the presence of an expert would be helpful in terms of solving the diseases that attack dogs by means of identifying the symptoms that plagued and conclude what disease. Naive Bayes method is a method used to predict probabilities. While Bayes classification is the classification of statistics that can predict the probability of a class member. For a more simple Bayes classification known as naive Bayesian Classifier can be assumed that the effect of an attribute value is a class given is free of other attributes. The required variable in this study is clinical symptoms in dogs. The results of this research testing showed the accuracy of the system are 90%.