Komparasi Algoritma Klasifikasi Data Mining Menggunakan Optimize Selection untuk Peminatan Program Studi

The selection of a study program is unique opportunity for student. STMIK IKMI Cirebon now KIP Kuliah provider, offering three program. research problem the unavailability model student interest in program, so it necessary to carry out an by applying algorithm classification model. used as comparison Decision Tree (C4.5), Naive Bayes, k-Nearest Neighbor and Support Vector Machine. applies Optimize Selection operator looking dominant attribute its influence on specialization Finally, will be tested parametric t-test order test significance algorithm. results accuracy obtained that SVM has best with value 80.76%. While lowest Bayes 74.64%. other two algorithms have sequential rate 80.47% 76.09% k-NN. this are classify preference students which useful predicting based background