Implementation of K-Means clustering on student learning achievements based on social economic and social related
The premise of this study is that education is an intentional attempt to discover pupils' potential. Students receive learning outcomes for every course they have taken at the conclusion of each semester, along with learning successes or the Cumulative Achievement Index. Using the K-Means Clust...
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| Format: | Article |
| Language: | English |
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Universitas Muhammadiyah Malang
2024-12-01
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| Series: | Research and Development in Education |
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| Online Access: | https://ejournal.umm.ac.id/index.php/raden/article/view/36742 |
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| author | Hotmaida Lestari Siregar Rahma Hidayanthi Air Langga Dewa Sakti |
| author_facet | Hotmaida Lestari Siregar Rahma Hidayanthi Air Langga Dewa Sakti |
| author_sort | Hotmaida Lestari Siregar |
| collection | DOAJ |
| description | The premise of this study is that education is an intentional attempt to discover pupils' potential. Students receive learning outcomes for every course they have taken at the conclusion of each semester, along with learning successes or the Cumulative Achievement Index. Using the K-Means Clustering approach is one way to categorize pupils based on their cumulative achievement index. This study uses a combination of quantitative and qualitative methodologies, which is known as a mix-method study. A sequential explanatory design is used in this investigation. This study's findings include the application of the Data Mining Algorithm to classify students' learning outcomes in the Informatics Vocational Education Study Program according to socioeconomic and social factors, particularly if they major in computer education. Because of this, students require computers and other learning aids in order to facilitate learning in the classroom and to avoid any problems when the lecturer assigns homework. |
| format | Article |
| id | doaj-art-874519692f2e4986a8fbe8c6bc49fc16 |
| institution | DOAJ |
| issn | 2809-0284 2809-3216 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Universitas Muhammadiyah Malang |
| record_format | Article |
| series | Research and Development in Education |
| spelling | doaj-art-874519692f2e4986a8fbe8c6bc49fc162025-08-20T02:56:02ZengUniversitas Muhammadiyah MalangResearch and Development in Education2809-02842809-32162024-12-01421447145910.22219/raden.v4i2.3674234681Implementation of K-Means clustering on student learning achievements based on social economic and social relatedHotmaida Lestari Siregar0Rahma Hidayanthi1Air Langga Dewa Sakti2Informatics Vocational Education, Faculty of Mathematics and Natural Sciences Education, Institut Pendidikan Tapanuli Selatan, IndonesiaElementary School Teacher Education, Faculty of Social Sciences and Language Education, Institut Pendidikan Tapanuli Selatan, IndonesiaInformatics Vocational Education, Faculty of Mathematics and Natural Sciences Education, Institut Pendidikan Tapanuli Selatan, IndonesiaThe premise of this study is that education is an intentional attempt to discover pupils' potential. Students receive learning outcomes for every course they have taken at the conclusion of each semester, along with learning successes or the Cumulative Achievement Index. Using the K-Means Clustering approach is one way to categorize pupils based on their cumulative achievement index. This study uses a combination of quantitative and qualitative methodologies, which is known as a mix-method study. A sequential explanatory design is used in this investigation. This study's findings include the application of the Data Mining Algorithm to classify students' learning outcomes in the Informatics Vocational Education Study Program according to socioeconomic and social factors, particularly if they major in computer education. Because of this, students require computers and other learning aids in order to facilitate learning in the classroom and to avoid any problems when the lecturer assigns homework.https://ejournal.umm.ac.id/index.php/raden/article/view/36742k-means clustering algorithmsocial and socioeconomicstudent learning achievement |
| spellingShingle | Hotmaida Lestari Siregar Rahma Hidayanthi Air Langga Dewa Sakti Implementation of K-Means clustering on student learning achievements based on social economic and social related Research and Development in Education k-means clustering algorithm social and socioeconomic student learning achievement |
| title | Implementation of K-Means clustering on student learning achievements based on social economic and social related |
| title_full | Implementation of K-Means clustering on student learning achievements based on social economic and social related |
| title_fullStr | Implementation of K-Means clustering on student learning achievements based on social economic and social related |
| title_full_unstemmed | Implementation of K-Means clustering on student learning achievements based on social economic and social related |
| title_short | Implementation of K-Means clustering on student learning achievements based on social economic and social related |
| title_sort | implementation of k means clustering on student learning achievements based on social economic and social related |
| topic | k-means clustering algorithm social and socioeconomic student learning achievement |
| url | https://ejournal.umm.ac.id/index.php/raden/article/view/36742 |
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