Application of K-Nearest Neighbor Algorithm for Classification of Mental Disabilities Patients Based on Age

Abstract

Abstract People with mental disabilities have the same position, rights and obligations as the non-disabled community. As part of Indonesian citizens, it is not appropriate for men and women with mental disabilities to be treated bad and experience discrimination. In Sukamulia Subdistrict, East Lombok, it is noted that the number of people with disabilities at the end of 2018 recorded 358 sufferers where people with disabilities are dominated by people over 18 years who are categorized as persons with disabilities. To find out the number of patients categorized as persons with disabilities, classification is needed. The purpose of this study was to classify people with disabilities based on age using the classification of KNN (K-Nearest Neighbor) Algorithm based on Age. Validity test is used to determine the best and most accurate level of accuracy. In this study the level of accuracy obtained is that in testing using K-Fold Validation 3 with a value of k = 3, the accuracy result is 97.49%.