ALGORITMA K-NEAREST NEIGHBOR TERHADAP PELUANG MAHASISWA MENJADI AKTIVIS KAMPUS PADA JURUSAN MATEMATIKA UNIVERSITAS NEGERI PADANG

The purpose of this study was to predict whether mathematics students at Padang State University have the opportunity become campus activists using K-Nearest Neighbor Algorithm (KNN). This research will be used as a benchmark calculate how many can University. (KNN) is machine learning algorithm that has resistance training data where there lot noise and more effective for large data. itself distance-based classification process determining closeness between different closest neighbor choose class or category based on K nearest neighbors. In research, first step, collected several factors influenced them activists, an analysis finding distance Euclidean carried out. 46% are not