NDLI: Penerapan Data Mining untuk Mengetahui Minat Siswa pada Pelajaran Matematika menggunakan Metode K-Means Clustering

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Penerapan Data Mining untuk Mengetahui Minat Siswa pada Pelajaran Matematika menggunakan Metode K-Means Clustering

Content Provider	Semantic Scholar
Author	Arofah, Siti Nur Marisa, Fitri
Copyright Year	2018
Abstract	Mathematics is one of the knowledge, which can improve thinking ability, and argue. Interests are a condition in which a person has an attention to something and is accompanied by the desire to know and study as well as prove it further. Problems in this research how to know the interest of students on the subjects of mathematics by using data mining techniques using Clustering method using K-Means Algorithm. Tests in this study, researchers used data Task Value, Daily Deuteronomic Value (UH) and Values Final Test Semester (UAS) students to know students' interest in mathematics subjects.The result of clustering using k-means algorithm shows that 45 students have high interest in mathematics subjects, 48 students have moderate interest and 29 students have low interest in mathematics. Intisari— Matematika merupakan salah satu disiplin ilmu, yang dapat meningkatkan kemampuan berpikir, dan berargumentasi. Minat merupakan suatu keadaan di mana seseorang mempunyai perhatian terhadap sesuatu dan disertai keinginan untuk mengetahui dan mempelajari maupun membuktikannya lebih lanjut. Permasalahan pada penelitian ini bagaimana mengetahui minat siswa pada mata pelajaran matematika dengan menggunakan Teknik data mining dengan metode Clustering menggunakan Algoritma K-Means.Pengujian pada penelitian ini, peneliti menggunakan data Nilai Tugas, Nilai Ulangan Harian (UH)dan Nilai Ujian Akhir Semeter (UAS) siswa untuk mengetahui minat siswa terhadap mata pelajaran matematika. Hasil clustering dengan menggunakan algoritma k-means memperlihatkan bahawa 45 siswa memiliki minat tinggi pada mata pelajaran matematika, 48 siswa memiliki minat sedang dan 29 siswa memiliki minat rendah pada mata pelajaran matematika. Kata Kunci— Matematika,Nilai Tugas, Nilai Ulangan Harian (UH) dan Nilai Ujian Akhir Semeter (UAS),
File Format	PDF HTM / HTML
DOI	10.31328/jointecs.v3i2.787
Volume Number	3
Alternate Webpage(s)	http://publishing-widyagama.ac.id/ejournal-v2/index.php/jointecs/article/viewFile/787/715
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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