Sistem Pakar Diagnosa Penyakit Diabetes dengan Menggunakan Metode Bayes Berbasis Web

Diabetes Mellitus is one of the non-communicable diseases with highest proportion in Indonesia and sixth cause death this country. Especially Asahan District, number people diabetes who died increasing over time, so there needs to be effective treatment that no longer feared by public because it easy treat. Many patients experience are getting worse they cannot detect early symptoms diabetes, which still considered trivial. There information about its symptoms, making difficult diagnose disease. In diagnosis DM disease limited conventional diagnoses doctors. necessary build a system on computer application help DM. To determine level disease, an expert diagnostic was made method used case Bayes method. This approximation uncertainty measured probability. Bayes' approach at time classification find probability inputting required attributes related symptoms. The results implementation selection according experiencing type 1 has weight = 2 higher than other diseases, provides process will provide what he order get solution