Abstract
Many rabbit keepers or breeders are panics when their rabbit has an illness. This paper proposed an expert diagnostic system application for Android-based rabbit disease using the Naïve Bayes method to determine the illness and Certainty Factor for the trust value of the condition by combining the rate of the trust of users and experts due to diagnose the diseases of the rabbit.The testing was using 65 data learning and 160 data learning to test the naïve Bayes method. Furthermore, the certainty factor is using CF user 1 and its variation.The results obtained for 65 data learning is 53%, while 160 data learning is 73%. With the naïve Bayes method, it can be concluded that the more data learning, the better and more accurate the system. The results of conformity with the testing data obtained from the variative CF user value, namely 53% accordingly, 13% inappropriate, 33% near. The effect of compliance with the sample data collected from the CF value of user 1 is 53% appropriate, 7% inappropriate, 40% is near. With the certainty factor method, it can be concluded that differences in user input values affect the overall CF value.
Highlights
Rabbits are mammals from the family of Leporidae, which can be found in many parts of the earth
The development model uses stages that represent the needs of expert systems for diagnosing rabbits diseases using the Naïve Bayes method and Certainty Factor
Testing of 15 testing data with 65 learning data in the expert system of diagnosing disease in rabbits and compared with the results of experts with the Naïve Bayes method. 65 learning data used to test 15 testing data, comparison of system tests with the expert have the following results: a
Summary
Rabbits are mammals from the family of Leporidae, which can be found in many parts of the earth. From the conclusion of the disease, new solutions were given to treat the disease This expert system is expected to help the rabbit owner get information about the diagnosis of the disease and how to deal with the disease based on the symptoms that appear. Symptoms of X may cause type B disease and others With these problems, it is necessary to build an expert system application for diagnosing rabbit disease. The research objective of the Development of Android-based Rabbit Diagnosis Expert System is to make a rabbit disease classification system using the Naive Bayes method to determine the disease - a certainty factor method to determine the value of trust and test an expert system for diagnosis of rabbit disease and help the first treatment of rabbits
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
