Implementation K-Nearest Neighbor Algorithm Skin Diseases Classifier

Skin diseases are skin disorders caused by germs, fungi, parasites, viruses, or due to infections that can attack anyone, skin diseases can attack part or all of the skin of the sufferer which of course can endanger the condition. The health of the sufferer is not treated seriously. Several factors can cause skin disorders, namely living factors, environment, unhealthy living habits, allergies, and climate including one factor that is often encountered, and there are many other factors. This study will analyze and classify data using existing variables using mining fund algorithms and will be processed with machine learning. The method used by researchers is K-Nearest Neighbor. In the classification of K-Nearest Neighbor, there is a good k value for the algorithm depending on the amount of data. A high k value will generally reduce the effect of noise on classification. And the results of the classification are used as a reference for making skin disease detection applications.