Implementation of the K-Means Algorithm on Learning Outcomes and Self-Regulated Learning

Anisatul Farida; Nugroho Arif Sudibyo

doi:10.30738/union.v10i2.12233

Authors

Anisatul Farida Universitas Duta Bangsa, Indonesia
Nugroho Arif Sudibyo Universitas Duta Bangsa, Indonesia

DOI:

https://doi.org/10.30738/union.v10i2.12233

Keywords:

learning outcomes, self regulated learning, k-means algoritm

Abstract

This study aims to apply data mining to Student Self-Regulated Learning and learning outcomes in online learning in higher education using the k-means algorithm. The cluster analysis method in this research is the k-means method. The research was conducted by taking data from students who took the Statistical course Informatics Engineering, the faculty of Computer Science at Duta Bangsa University Surakarta. The number of student data was 22 data. The results show that the number of clusters according to the k-means algorithm is 3.

References

Aggarwal, D., & Sharma, D. (2019). Application of clustering for student result analysis. Int J Recent Technol Eng, 7(6), 50–53.

Azizah, A. N. (2021). Kontribusi Self-Regulated Learning Terhadap Kepuasan Mahasiswa Mengenai Pembelajaran Jarak Jauh yang Dimoderasi Penilaian Peran Pengajar. Universitas Pendidikan Indonesia.

Chotimah, C., & Nurmufida, L. (2020). Pengaruh Self Regulated Learning Dan Pola Asuh Orang Tua Terhadap Prokrastinasi Akademik Mahasiswa. J-MPI (Jurnal Manajemen Pendidikan Islam), 5(1), 55–65.

Fernandes, E., Holanda, M., Victorino, M., Borges, V., Carvalho, R., & Van Erven, G. (2019). Educational data mining: Predictive analysis of academic performance of public school students in the capital of Brazil. Journal of Business Research, 94, 335–343.

Kusuma, D. A. (2020). Dampak penerapan pembelajaran daring terhadap kemandirian belajar (self-regulated learning) mahasiswa pada mata kuliah geometri selama pembelajaran jarak jauh di masa pandemi covid-19. Teorema: Teori Dan Riset Matematika, 5(2), 169–175.

Ma’rifatin, U. (2020). Implementasi Algoritma K-Means untuk Pengelompokan Penyakit Pasien Pada Puskesmas Warujayeng. Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 4(1), 285–291.

Meri, M. (2020). Pengaruh Self-Regulated Learning terhadap kemampuan komunikasi matematis siswa pada era Covid-19. UIN Sunan Gunung Djati Bandung.

Nurcahyo, A., Ishartono, N., & Sudibyo, N. A. (2020). Implementasi Pembelajaran Interaktif Kalkulus Dengan Wolfram Cdf Player Pada Kelas Semu Schoology. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 9(4), 883. https://doi.org/10.24127/ajpm.v9i4.3137

Oyelade, O. J., Oladipupo, O. O., & Obagbuwa, I. C. (2010). Application of k Means Clustering algorithm for prediction of Students Academic Performance. ArXiv Preprint ArXiv:1002.2425.

Pratama, F. W. (2017). Peran Self-Regulated Learning dalam Memoderatori Pembelajaran dengan Pendekatan Saintifik Terhadap Hasil Belajar Siswa. Satya Widya, 33(2), 99–108.

Pribadi, T., Irsyada, R., Audytra, H., & Fatah, D. A. (2020). Implementasi Algoritma K-Means untuk Klasterisasi Potensi Desa pada Sektor Produksi Pertanian di Kabupaten Bojonegoro. Jurnal Simantec, 9(1), 20–28.

Santosa, E. B. (2020). Implementasi Data Mining Self Regulated Learning Siswa pada Lingkungan Belajar Daring di Perguruan Tinggi. Edudikara: Jurnal Pendidikan Dan Pembelajaran, 5(2), 123–132.

Shovon, M., Islam, H., & Haque, M. (2012). An Approach of Improving Students Academic Performance by using k means clustering algorithm and Decision tree. ArXiv Preprint ArXiv:1211.6340.

Sihombing, L. (2020). Hubungan antara Self-Efficacy dengan Self-Regulated Learning pada Mahasiswa Kota Medan yang Mengikuti Kuliah Online. Skripsi. Universitas HKBP Nommensen

Suprihatiningsih, S., & Sudibyo, N. A. (2020). Pengaruh Penggunaan Bahan Ajar Kalkulus Diferensial Berbasis Pendekatan Penemuan Terbimbing di STKIP Pamane Talino. Mercumatika, 4(2), 10–13.