ANALYSIS OF DETERMINATION OF TRY OUT MATHEMATICS SKILLS OF STUDENTS IN IPA 1 SMA N 1 KECAMATAN WITH CLUSTERING METHODS - MEANS



Sri Tria Siska(1*), Rahayu Mayang Sari(2)

(1) Sekolah Tinggi Teknologi Payakumbuh
(2) Universitas Pembangunan Panca Budi
(*) Corresponding Author

Abstract


In this study aims to analyze the determination of the ability of TRY OUT Mathematics students majoring in Natural Sciences in SMA N.1 Kecamatan to get an information that is useful for schools in determining students based on their grades. In processing these data we use data mining with the K-Means Algorithm Clustering Method. Data Mining is extracting information from a large amount of data. The information that was obtained was in the form of groups of students with high grades, medium grades and low grades. The test that we do uses the existing application, RapidMiner, so that it can be determined by the desired student clusters

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References


[1] Anita, Y. Muharmi, and S. T. Siska, “Penentuan Tingkat Minat Belanja Online Melalui Media Sosial Menggunakan Metode Clustering K-Means,†vol. I, no. 2, pp. 126-134, 2018.

[2] Ediyanto, dkk. 2013. Pengklasifikasian Karakteristik Dengan Metode K-Means Cluster Analysis. Buletin Ilmiah Mat, Stat, dan Terapannya (Bimaster). Volume 02, No.2(2013), hal 133-136.

[3] Handoyo, R, dkk. 2014. Perbandingan Metode Clustering Menggunakan Metode Single Linkage Dan K-Means Pada Pengelompokan Dokumen. ISSN. 1412-0100 Vol 15, No, 2, OKTOBER 2014.

[4] Ong, Oscar. 2013. Implementasi Algoritma K-Means Clustering Untuk Menentukan Strategi Marketing President University. Jurnal Ilmiah Teknik Industri. Vol. 12, No 1, 2010. ISSN 1412-6869.

[5] Sari, R. M., & Tasril, V. (2020). Prediksi Jumlah APBD Kota Payakumbuh dengan metode K-Means. Jurnal Ipteks Terapan, 14(1), 45-50.

[6] Sari, R. M. (2015). Prediksi Data Anggaran Pendapatan Belanja Daerah Menggunakan Algoritma K-Means. SATIN-Sains dan Teknologi Informasi, 1(2), 73-78.

[7] S. T. Siska, “ANALISA DAN PENERAPAN DATA MINING UNTUK MENENTUKAN KUBIKASI AIR TERJUAL BERDASARKAN PENGELOMPOKAN PELANGGAN MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING,†vol. 9, no. 1, pp. 86-93, 2016.

[8] S. T. Siska, “Sistem Informasi Pemasaran Perumahan dan Pembayaran Konsumen pada CV Mandiri Utama Cabang Payakumbuh Menggunakan Visual Basic 6.0,†vol. I, no. 2, pp. 296-278, 2018.


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