Penerapan Data Mining Pemilihan Siswa Kelas Unggulan dengan Metode K-Means Clustering di SMP N 02 Tasikmadu

Wibowo, Teguh and , Nurgiyatna, S.T.,M.Sc.,Ph.D. (2018) Penerapan Data Mining Pemilihan Siswa Kelas Unggulan dengan Metode K-Means Clustering di SMP N 02 Tasikmadu. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Tasikmadu 02 junior high school is a school located in Karanganyar city. This school has a good learning system that is a superior student class program. Tasikmadu 02 junior high school has increased enrollment of new students every year. The number of students who register then in the selection of superior studentspace resulted in the difficulty in determining the superior classroom in accordance with the ability of students.. Therefore the application of data mining is done to help the distribution of superior classes with reference values that students have using the method of k-means clustering. As the application of the clustering method for k-means algorithm calculation data used is the student's rapot score and each value data is used as an attribute. The selected attributes are applied using k-means clustering method to produce 5 clusters taken 3 clusters for the superior class. The results of this study indicate that the k-means algorithm is able to produce selection and distribution of superior class according to the student's ability.

Item Type: Karya ilmiah (Skripsi)
Uncontrolled Keywords: Data mining, K-Means clustering, class division.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika
Depositing User: TEGUH WIBOWO
Date Deposited: 10 Aug 2018 07:59
Last Modified: 10 Aug 2018 07:59

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