Open AccessSistem Pendukung Pengambilan Keputusan Kesesuaian Beasiswa Menggunakan Naive Bayes
Author(s) -
Yohanes Christianto Aryo Wicaksono Tan,
YB Dwi Setianto
Publication year - 2020
Publication title -
praxis
Language(s) - English
Resource type - Journals
ISSN - 2622-9137
DOI - 10.24167/praxis.v2i2.2624
Subject(s) - naive bayes classifier , scholarship , computer science , test (biology) , psychology , artificial intelligence , political science , support vector machine , biology , paleontology , law
Until now there are no system that helps determine candidates who are eligible to receive the Sandjojo Foundation scholarship at Soegijapranata Catholic University. Therefore, scholarship recipients are sometimes not on target. This research can help solve problems by using the Naive Bayes algorithm as a medium for decision makers with criteria such as based on the student's GPA, the total income of parents, and must be an active student in the organization. Using previous registrant data, the Naive Bayes algorithm can study the data for each of the criteria entered to determine whether applicants qualify or not to receive scholarships from the Sandjojo Foundation. This research was made using a web-based application and has been tested four (4) times with a variety of test and training data, with an accuracy of around 50% to 65% and a time of less than three (3) seconds..