KLASIFIKASI HASIL BELAJAR SISWA MENGGUNAKAN METODE C4.5 BERDASARKAN RIWAYAT AKADEMIK DI SMP XYZ

Bryan Daniel Pinenda Pasaribu, T. Sutrisno, Bagus Mulyawan
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Abstract

This research was conducted to classify student learning outcomes at XYZ Middle School based on academic history during learning and student learning interests. This study aims to provide information to students and teaching staff regarding student learning outcomes. With the available information, it is hoped that teaching staff can develop methods for conveying material in order to obtain better results. The method used in solving this problem is the C.45 algorithm method. Starting from collecting data consisting of assignment scores, daily tests, UTS, and UAS. Then the formation of a decision system as initial data that has condition and decision attribute values. Then calculate the entropy value of each attribute. Calculating the highest gain value which will then be used as a node. Then, determine the decision from the results of the decision tree process by starting from the highest root to the lowest root to determine the decision criteria.
根据XYZ初中的学术历史,学生使用C4.5方法对学习成绩进行分类
本研究以XYZ中学学生学习期间的学术经历和学生的学习兴趣为基础,对学生的学习成果进行分类。本研究旨在为学生和教师提供有关学生学习成果的信息。在现有的信息基础上,希望教学人员能够制定出更好的材料传递方法,以获得更好的效果。解决这一问题的方法是C.45算法方法。从收集作业分数、日常测试、UTS和UAS数据开始。然后形成一个具有条件值和决策属性值的决策系统初始数据。然后计算各属性的熵值。计算最高增益值,然后将其用作节点。然后,从决策树过程的结果中确定决策,从最高根到最低根确定决策标准。
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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