Classification of Graduates Student on Entrance Selection Public Higher Education through Report Card Grade Path Using Support Vector Machine Method

Entrance selection Public Higher Education through report card grades is one way of accepting new students at Public Higher Education, free of registration fees, and without written examinations. In Mojokerto, the students' participation in the selection process is still done manually, so the results have not been maximized. Students with good report cards are not necessarily accepted, and vice versa, students with average report cards can be one General Higher Education through this pathway. Therefore, a classification system is needed to predict student graduation at Public HigherEducation through this path to obtain optimal results. In this study will make the classification of student graduation at SNMPTN, SPAN PTKIN, SNMPN, and not received / not passed by using the parameters of the average semester report card grades 1, average semester report card grades 2, averagesemester report card grades 3, grades average semester report card 4, and the average grade report card semester 5 using the Support Vector Machine (SVM) method. Based on the results of data testingto identify how well the classification performed by measuring levels of accuracy of data classification at SMAN Puri, SMAN Sooko, and MAN 1 Mojosari in 2018 and 2019 using SVM method obtained a gooddegree of accuracy, namely amounted with 82% for SMAN Puri, 81% for SMAN Sooko, and 90% for MAN 1Mojosari. The results showed that the level of accuracy of the SVM method could be used as a classifier to predict student graduation in Public Higher Education Entrance Selection through a report card grade path.