Prediction of Student Study Period Based on Admission Pathways Using Support Vector Machine Algorithm

In Indonesia, the quality of a university is measured based on accreditation by BAN-PT (National Accreditation Board for Higher Education). possesses several main standards in measuring university, one which students and graduates. The accuracy student study period crucial issue because it basis effectiveness university. Prediction process systematically estimating something most likely to happen future past present information minimize error (difference between that happens forecast results). One technique used make predictions data mining. Universitas Muhammadiyah Yogyakarta (UMY), as best private universities must maintain its students. Student admission at UMY an internal selection carried out through methods: achievement academic ability tests. Support Vector Machine (SVM) method part prediction method. Analysis SVM utilized historical from alumni Faculty Law graduation year 2015-2019. application has provided better accuracy, precision, recall results. kernel level was RBF with optimum C value 10 gamma 0.4 96.00%.