ANALISA DAN PENERAPAN METODE KLASIFIKASI DALAM DATA MINING UNTUK PENERIMAAN SISWA JALUR NON-TULIS
DOI:
https://doi.org/10.33884/jif.v8i01.1766Keywords:
Algorithm C4.5 Decision Tree ClasificationAbstract
Plus Negeri 7 Bengkulu City is needed an information that can help the school to be younger in accepting new students in accordance with the criteria school. From the admission data the student will get useful information for the school where the existing data will be an information and policy in accepting students who will go to school. Importance Information obtained from the school will help the school in determining students who will accepted. C4.5 algorithm is a classification technique in which there is a data mining process using the CRISP-DM method so that a simple but accurate data classification will be obtained. Therefore the use of the C4.5 algorithm will make it easier for schools to make policies in accepting students. new
Author Biography
Reni Kurniah, 085268311204
References
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[2] Han, J. Kamber, M & Jian, Pei. Data Mining : Concepts and techniques, Third Edition. America: Morgan Kauffman, San Francisco, 2011.
[3] Gorunescu, F. (2011). Data Mining : Concepts, Models and Techniques. New York: Springer-Verlag.
[4] Efraim Turban, dkk (2005). ”Decision Support System And Intelegent System”, Yogyakarta : Andi Yogyakarta.
[5] Feri Sulianta. Dan Dominikus Juju (2010). ”Data Mining Meramalkan Bisnis Perusahaan”. Jakarta Gramedia.
[6] Kusrini. Dan Emha Taufiq Luthfi (2009). ”Algoritma Data Mining”. Yogyakarta : Andi Yogyakarta.
[7] Simanjuntak, P., & Elisa, E. (2019). Data Mining Untuk Menentukan Pemilihan Celular Card Di Kota Batam. Journal Information System Development (ISD), 4(2).
[8] Sujana,(2010). Aplikasi Mining Data Mahasiswa Dengan Metode Klasifikasi Decission Tree. Universitas Widyatama.
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Published
2020-03-18
How to Cite
Kurniah, R. (2020). ANALISA DAN PENERAPAN METODE KLASIFIKASI DALAM DATA MINING UNTUK PENERIMAAN SISWA JALUR NON-TULIS. JURNAL ILMIAH INFORMATIKA, 8(01), 9–17. https://doi.org/10.33884/jif.v8i01.1766
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