Data Mining Untuk Melihat Minat Belajar Siswa Menerapkan Metode K-Means

Dudih Gustian, Muhamad Salman Al-Farits
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Abstract

Due to the lack of motivation to learn and learning method using the old method which is very boring, learning planning is currently a burden for educators and educthe ation of children at the junior high level. As a result, the purpose of this study aims at a learning system to create a learning plan for children using ICT. This educational institution known as Al-Furqon can be found in Kadudampit District, Sukabumi Regency. Outdated lecture methods are still used in teaching and learning activities in this school. Because it was previously used as a means of oral communication between teachers and students during the teaching and learning process, this method affects learning in MTs because it cannot be left behind in teaching activities even though it requires more teacher activities than students. Al-Furqon. There was no interesting interaction between students and teachers, and as a result, they became increasingly dissatisfied with traditional teaching approaches, K-Means algorithms and Data Mining techniques were used in the study. Clustering is also used. Data on Teaching Method Value, Learning Facility Value, Grade Condition Value, Environmental Influence Value, and Teacher Professionalism Value were used for testing in this study. to find out students' interests in school by grouping their data and applying K-Means Clustering analysis. It is hoped that after the number of students who are lacking or not interested in learning is identified, it will become the basis for this website design system to be a solution to the problem.
数据挖掘以寻找学生的兴趣实现从含的方法
由于缺乏学习的动力和使用旧方法的学习方法非常枯燥,学习计划是目前教育工作者和初中阶段儿童教育的负担。因此,本研究的目的是建立一个学习系统,为使用ICT的儿童制定学习计划。这所名为Al-Furqon的教育机构位于Sukabumi Regency的Kadudampit区。在这所学校的教学活动中仍然使用着过时的讲课方法。因为它之前是作为师生在教学过程中口头交流的一种手段,所以即使它需要教师比学生更多的活动,它也不能被遗忘在教学活动中,从而影响了mt的学习。Al-Furqon。学生和教师之间没有有趣的互动,因此,他们越来越不满意传统的教学方法,研究中使用了K-Means算法和数据挖掘技术。还使用了集群。本研究采用教学方法价值、学习设施价值、年级状况价值、环境影响价值、教师专业价值等数据进行测试。通过对学生的数据进行分组并应用K-Means聚类分析,找出学生对学校的兴趣。希望在识别出缺乏或对学习不感兴趣的学生数量后,成为本网站设计系统解决问题的依据。
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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