Implementasi Aplikasi Pengajuan Beasiswa menggunakan Naïve Bayes untuk Efisiensi Pemilihan Mahasiswa Beasiswa

R. Endra, Yuthsi Aprilinda, Doni Triyanto
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引用次数: 0

Abstract

- Every student at the Bandar Lampung University has the right to apply for a scholarship for those whose parents cannot afford to pay for their education, and is entitled to a scholarship for those who have good achievement and a good rating index. This study aims to apply the nave Bayes algorithm for the efficient implementation of application and selection of scholarship students by using the Nave Bayes method which is a simple probabilistic classification that calculates a set of probabilities by adding up the frequency and combination of values from a given dataset by determining the eligibility of scholarships according to the criteria specified. determined by the university. On the basis of the existing problems, a system or application is needed that can assist the student bureau in making decisions on the determination of scholarship applications. By applying the Naïve Bayes Method to the implementation of scholarship applications for efficient selection of scholarship students. In the process, this system was created to overcome the problems that exist at the university and become a solution for the student bureau to select the file for applying for scholarships at the University of Bandar Lampung according to the criteria and parameters set.
使用天真的Bayes实现奖学金申请,提高学生选择的效率
-凡在楠榜港大学就读的学生都有权为父母无法支付其学费的学生申请奖学金,而成绩优异和评价指数良好的学生则有权获得奖学金。本研究旨在应用朴素贝叶斯算法,通过使用朴素贝叶斯方法有效地实现奖学金学生的申请和选择。朴素贝叶斯方法是一种简单的概率分类,通过根据指定的标准确定奖学金的资格,通过将给定数据集中的值的频率和组合相加来计算一组概率。由大学决定。在存在问题的基础上,需要一个系统或应用程序,可以帮助学生局对奖学金申请的确定做出决策。通过应用Naïve贝叶斯方法实施奖学金申请,实现奖学金学生的高效筛选。在此过程中,该系统的创建是为了克服大学存在的问题,并成为学生事务局根据设定的标准和参数选择申请楠榜港大学奖学金的文件的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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