Penerapan Algoritma K-Nearest Neighbor dengan Euclidean Distance untuk Menentukan Kelompok Uang Kuliah Tunggal Mahasiswa

Single tuition fee or called UKT is the amount of determined based on student's economic ability. In its application, there are still many students who object to group that obtained. Therefore, university must apply right and accurate method in group. This study aims obtain result student’s classification using K-Nearest Neighbor (KNN) algorithm with Euclidean Distance calculation determine accuracy optimal k value. used a quantitative descriptive approach. The data collection techniques interviews, literature study, documentation. has been collected 1,650 verification for 2019-2021 which be processed mining RStudio software. results showed KNN can applied UKT. With testing as 320 students, 23 were get I, 149 II, 129 III, 32 IV, 2 got V. 87.58% Good Classification category. obtained K-Fold Cross Validation k=1.