Data Mining dalam Mengukur Tingkat Keaktifan Siswa dalam Mengikuti Proses Belajar pada SMP IT Andalas Cendekia dengan Menggunakan Metode K-Means Clustering
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Keywords:
Data Mining, Clustering, K-Means, PBM, Student Activity
AbstractThe learning process is essentially to develop the activities and creativity of students through various interactions and learning experiences. The teacher is the most important factor in the process of improving the quality of education. In addition, student learning activeness is also an important basic element for the success of the learning process. The quality and activeness of students in learning at school has a lot of diversity which makes students have different levels of understanding, this needs to be a concern for the school, especially teachers as teachers and educators of students in schools. The purpose of this study is to measure the extent to which students' ability to undergo the learning process as well as a reference and evaluation material for the school in the success of educators when carrying out the teaching and learning process. In this study the data were sourced from the Integrated Islamic Junior High School Andalas Cendekia Dharmasraya which consisted of several variables, namely the presence of student data, Academic value (knowledge), Psychomotor value (skills), Affective value (spiritual and social). In grouping the data, the appropriate method in this study is the Clustering method with the K-Means Algorithm. The results of this study obtained 3 groupings of students, namely students who are very active, students who are active and students who are less active. This research is used as a guideline for teachers in the field of study in selecting students to participate in competitions and Olympics, and can be used as a benchmark for schools of the ability of educators in the teaching and learning process. ReferencesAranski, A. W., & Handoko, K. (2019). (2019). Data Mining dalam Pengelompokan Nilai IQ Siswa. Jurnal Teknologi dan Open Source, 2(2), 13-22. 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Published
2021-09-30
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How to Cite
Triandini, M., Defit, S., & Nurcahyo, G. W. (2021). Data Mining dalam Mengukur Tingkat Keaktifan Siswa dalam Mengikuti Proses Belajar pada SMP IT Andalas Cendekia dengan Menggunakan Metode K-Means Clustering. Jurnal Informasi Dan Teknologi, 3(3), 167-172. https://doi.org/10.37034/jidt.v3i3.120
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