奖学金支持决策系统使用天真Bayes

Yohanes Tan, Yb Dwi Setianto
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引用次数: 1

摘要

到目前为止,还没有一个系统可以帮助确定有资格获得Soegijapranata天主教大学Sandjojo基金会奖学金的候选人。因此,奖学金获得者有时没有达到目标。本研究可以通过使用朴素贝叶斯算法作为决策者的媒介,以学生的GPA、父母的总收入、必须是组织中活跃的学生等标准来帮助解决问题。使用以前的注册数据,朴素贝叶斯算法可以研究输入的每个标准的数据,以确定申请人是否有资格获得Sandjojo基金会的奖学金。这项研究是使用基于web的应用程序进行的,并使用各种测试和训练数据进行了四(4)次测试,准确率约为50%至65%,时间不到三(3)秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sistem Pendukung Pengambilan Keputusan Kesesuaian Beasiswa Menggunakan Naive Bayes
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..
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