Expert System for Diagnosing Exanthema Virus Using Web-Based KNN (K-Nearest Neighbor) Method
Keywords:
Exanthema disease, K-Nearest Neighbor (KNN) method, web-basedAbstract
Exanthema is a disease that is often found in children, especially in the early stages of a child's development. Even though exanthema disease often gives a clinical picture that is similar to one another each exanthema disease has distinctive clinical characteristics so we must be able to distinguish one exanthema disease from another. Misdiagnosis can impact the patient, those in contact with the patient, and the surrounding community. The purpose of this expert system research is to determine skin diseases caused by exanthema viruses experienced by patients in Pidie Regency. An expert system built using the K-Nearest Neighbor (KNN) method. The K-Nearest Neighbor method is used to classify participants who will be accepted. The KNearest Neighbor method is used to overcome the cases above, namely by classifying the types of symptoms of the disease suffered by each patient. By comparing the proximity distance between training data and testing data.
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