Prediksi Pengajuan Kredit Usaha Pada Koperasi Menggunakan Algoritma K-Nearest Neighbor

Cooperative activities have become the most needed by many people because they are related to money, cooperatives places that provide loans housewives and also workers in a certain area or environment, lack of interest offered this cooperative is considered very easy. helpful for parties facilitating financial affairs, especially matters, convenience makes interested ask same thing resulting vulnerability fraud, importance making predictions on prospective new business loan applications can help reduce worst risks from various occur future, study k-nearest neighbor algorithm will be used as prediction credit at cooperatives, value obtained training data records several previous customers so easier know test study. The results found "Not Eligible" seen closest based smallest with (closest distance) between one another 3 distances, namely numbers 1, 2 where number 1 states feasible ”, second distance stating “Eligible” “Not Eligible”, stated Not Eligible decision had rejected eligible” accepted