ANALISIS KINERJA LOGISTIC REGRESSION, K-NEAREST NEIGHBOR, DECISION TREE, DAN RANDOM FOREST UNTUK PREDIKSI PUTUS STUDI MAHASISWA BERBASIS DATA AKADEMIK TABULAR. Jurnal Inovasi Artificial Intelligence & Komputasional Nusantara, [S. l.], v. 5, n. 1, p. 46–51, 2026. DOI: 10.260396/90f8b259. Disponível em: https://ejournal.siantarcodesacademy.com/jikomnus/index.php/public/article/view/145.. Acesso em: 6 aug. 2026.