Penggunaan Algoritma Support Vector Machine Untuk Penentuan Rekomendasi Penerima Beasiswa Di SMA Negeri 8 Kota Bogor

Abstract

Scholarship is an assistance program in the form of educational funding in the form of being
given to assist students in obtaining proper education. SMA Negeri 8 Bogor City as an
educational unit that organizes formal education, participates in providing scholarships for its
students. The scholarship program at SMA Negeri 8 Bogor City has not used an effective and
efficient method in determining the eligibility of students to receive scholarships so that errors
often occur such as scholarships that are not on target. To overcome this, a website-based
scholarship prediction application was created to predict the eligibility status of students to
receive scholarships. Prediction is done using the classification method with the Support Vector
Machine model. The results in the composition of 70% training data and 30% testing data get the
highest evaluation results with Accuracy 89%, Precision 91%, Recall 95%.