Menilai Kecenderungan Nilai Antar Mata Pelajaran Menggunakan Association Rule Pada Rapidminer

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Adi Nurrachman
Muhammad Faisal
Fachrul Kurniawan

Abstract

The focus of this research is trying to assess the tendency of scores between subjects using the association rule method using Rapidminer. The Association Rule method itself is often called Market Basket Analysis. The results showed that there was a tendency that students with good grades in English had good Mathematics scores with a 100% confidence level with a support value of 0.333

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How to Cite
Nurrachman, A., Faisal, M., & Kurniawan, F. (2022). Menilai Kecenderungan Nilai Antar Mata Pelajaran Menggunakan Association Rule Pada Rapidminer. EDUPEDIA, 5(2), 178–182. https://doi.org/10.24269/ed.v5i2.868
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Articles

References

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Agrawal, R., & S&ant, R. (2013). Fast Algorithms For Mining Association Rules In Datamining. International Journal of Scientific & Technology Research, 2(12), 13–24.

Gemala, M. (2011). Penerapan Metode Market Basket Analysis Pada Situs Web E-Commerce (Studi Kasus: Dhian Handicraft Indonesia). Jurnal Sistem Informasi, Sekolah Tinggi Manajemen Informatika & Teknik Komputer Surabaya, 1(1). https://jurnal.dinamika.ac.id/index.php/jsika/article/view/93