Sistem Pengelompokan Siswa Berdasarkan Tingkat Kedisiplinan Menggunakan Metode Naïve Bayes Classifier

B. Hartanto, Sri Tomo
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Abstract

Discipline is a very important thing in the educational process. Discipline will succeed if it is applied to students correctly. Student discipline is that every student follows every rule and order that has been set by the school. At SMK Muhammadiyah 2 Sukoharjo student discipline. Declining discipline at SMK Muhammadiah 2 Sukoharjo is marked by the increase in points of violation from students. The purpose of this study was to apply the nave Bayes method in the classification of student discipline levels at SMK Muhammadiyah 2 Sukoharjo. With this information will be obtained that can be used for information on which students need to be given Counseling Guidance to provide direction and guidance to students. The attributes used are cases of fights, not attending apples, not carrying out picket, not entering without explanation, arriving late, noisy in class. Test results with 490 records with a portion of 75% training data and 25% test data. And produces an accuracy of 76%.
基于等级纪律的学生分类系统,使用天真的贝斯经典法
纪律在教育过程中是非常重要的。如果对学生运用得当,纪律就会成功。学生纪律是指每个学生都遵守学校制定的各项规则和秩序。在SMK Muhammadiyah 2 Sukoharjo学生纪律。SMK Muhammadiah 2 Sukoharjo学校纪律下降的标志是学生违规得分的增加。本研究的目的是将朴素贝叶斯方法应用于SMK Muhammadiyah 2 Sukoharjo学生纪律水平的分类。有了这些信息,就可以获得可以用于学生信息的信息,需要给予辅导指导,为学生提供指导和指导。使用的属性是打架,不参加苹果,不执行纠察,不解释进入,迟到,在课堂上吵闹的情况下。490条记录的测试结果,其中75%为训练数据,25%为测试数据。并产生76%的准确率。
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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