Korelasi Perilaku Siswa dengan Tingkat Prestasi Siswa Menggunakan Metode Apriori
DOI:
https://doi.org/10.61132/saturnus.v2i4.337Keywords:
Data Mining, Apriori Algorithms, Student Behavior, CorrelationAbstract
Student behavior is the actions of students which are influenced by their attitudes and responsibilities at school. Student behavior is a very important factor in determining student achievement in learning. Students who have personalities that improve skills, knowledge, attitudes, habits, understanding, skills, thinking power and other abilities will more easily increase their concentration in learning, and it will be easier to achieve the students' goals. At SDN 053960 MARYKE there are still students who do not know that student behavior greatly influences their level of achievement. Therefore, it is necessary to educate students from an early age so that students can be more responsible for the rules given by teachers at school, and students must understand that the attitude they carry out at school is assessed in improving their achievement, as well as their presence is very influential. his level of achievement at school. Therefore, there is a need for a solution to overcome the problems that exist at SDN 053960 MARYKE by utilizing data mining to collect data and then it will be processed using the a priori method with variables contained in the correlation between student behavior and student achievement levels. The a priori algorithm is able to determine min support and confidence in these variables will later show the relationship between student behavior and student achievement levels, so that researchers will get the best best rules and be able to produce the latest information..
References
Ariana, A. A. G. B., & I. M. D. P. A. (2013). Analisis keranjang belanja dengan algoritma Apriori pada perusahaan retail. Seminar Nasional Sistem Informasi Indonesia, 2–4.
Buaton, R., Maulita, Y., & Febria, A. R. (2017). Korelasi kecerdasan emosional dengan prestasi belajar siswa menggunakan metode A Priori (Studi kasus: SMPIT Alkaffah Binjai). Jurnal Informatika Kaputama (JIK), 1(1), 33–42. https://doi.org/10.59697/jik.v1i1.439
Buaton, R., Maulita, Y., & Kristiawan, A. (2018). Korelasi faktor penyebab tindak kekerasan dalam rumah tangga menggunakan data mining algoritma A Priori. Jurnal Media Infotama, 14(1). https://doi.org/10.37676/jmi.v14i1.468
Buulolo, E. (2020). Data Mining. Deepublish.
Farid, F. (2023). Pengembangan karakter tanggung jawab siswa melalui penguatan aktivitas guru di dalam kelas. Jurnal Pendidikan Karakter, 14, 114–121. https://doi.org/10.21831/jpka.v14i2.57985
Hasibuan, N. A., Silalahi, N., Nasution, S. D., Sutiksno, D. U., Nurdiyanto, H., Buulolo, E., Ambon, P. N., & Pendahuluan, I. (2017). Implementasi data mining untuk pengaturan layout. Jurnal Teknik Informatika, 4(4), 6–11.
Munanda, E., & Monalisa, S. (2021). Penerapan algoritma FP-Growth pada data transaksi penjualan untuk penentuan tataletak. Jurnal Ilmiah Rekayasa Dan Manajemen Sistem Informasi, 7(2), 173–184. http://ejournal.uin-suska.ac.id/index.php/RMSI/article/view/13253
Murti, W. (2019). Pengaruh perilaku belajar siswa terhadap prestasi belajar IPA biologi siswa kelas VIII SMPN 4 Bantimurung. Jurnal Binomial, 2(1), 54.
Pratiwi, A., Manaor Hara Pardede, A., & Serasi Ginting, B. (2022). Analisis pola pemilihan menu makanan pada rumah makan menggunakan algoritma Apriori (Studi kasus: Pondok Madukoro Bakso Mataram Medan). Jurnal Informatika Kaputama (JIK), 6(3), 989–997.
Rokhman, O., Ningsih, A. N., Augia, T., Dahlan, H., Rosyada, Amrina, Putri, D. A., Fajar, N. A., Yuniarti, E., Vinnata, N. N., Pujiwidodo, D., Ju, J., Wei, S. J., Savira, F., Suharsono, Y., Aragão, R., Linsi, L., Reeger, U., Sievers, W., Michalopoulou, C., & Devita, M. (2020). No title. Jurnal Berkala Epidemiologi, 5(1), 90–96. https://core.ac.uk/download/pdf/235085111.pdf
Rosaly, R., & Prasetyo, A. (2019). Pengertian flowchart beserta fungsi dan simbol-simbol flowchart yang paling umum digunakan. Nesaba Media. https://www.nesabamedia.com/pengertian-flowchart/
Sikumbang, E. D. (2018). Penerapan data mining penjualan sepatu menggunakan metode algoritma Apriori. Jurnal Teknik Komputer AMIK BSI (JTK), 4(1), 1–4.
Sudrajat, H., & Hariati, R. H. (2022). Profil kehadiran siswa di kelas dalam mewujudkan kedisplinan siswa. Jurnal Pendidikan Guru Madrasah Ibtidaiyah Al-Amin, 1(2), 83–92. https://doi.org/10.54723/ejpgmi.v1i2.11
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