Efficiency of Bayes Theorem in Detecting Early Symptoms of Avian Diseases
Adil Setiawan, Soeheri, Erwin Panggabean, Mas Ayoe Elhias, Frans Ikorasaki, Bagus Riski · 2018 6th International Conference on Cyber and IT Service Management (CITSM) · 2018
Poultry diseases often make us confused in the handling or prevention, therefore need to be done in preventing the disease, so we know the first step in preventing poultry diseases. Based on applications on the computer can be used in various fields, this encourages experts to further develop computer systems to assist human work in the field of health is much more qualified and accurate in detecting the disease of poultry. Sources of animal diseases such as parasites, viruses and infectious diseases sometimes attack poultry. At this time more and more so that makes the poultry die suddenly and it causes a huge loss, so it is expected that with this system to further reduce the death of poultry, it takes the right method to get the desired results. The Bayes Theorem is a method used to calculate data uncertainty into definitive data by comparing between yes and no data. Expected to furthermore have more characteristics data, for the results of this test shows that this expert system can detect poultry disease with 100% accurate value based on the data of respondents.