KAJIAN PERANCANGAN RULE ALGORITMA TERHADAP KELAYAKAN PEMBERIAN BEASISWA PADA SEKOLAH MENENGAH ATAS

Fitriana Destiawati, Harry Dhika

Abstract


The study was conducted on high school students in the scholarship, it intends to build a spirit of good learning, build learning achievement and certainly provide educational opportunities for underprivileged students. In determining the feasibility of granting scholarships is made with several attributes including parental income, student achievement, classroom of students, number of dependents of parents in one house, student attendance, and student activity in the organization. The method used in this study is the CRISP-DM (Cross standart Industries Proses for Data Mining) using Naive Bayes algorithm in the feasibility of providing scholarships. The results of this study in the form of naïve Bayes model of the measured level of accuracy reached 94% or by 0.94 with the title very well so that classification in the category very well with a percentage of 0.90 - 1:00.

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References


Abadi, H. F., K., B. K., & Irhamni, F. (2012). Analisa Validitas Penerima Beasiswa Menggunakan Analytic Network Process (ANP) dan TOPSIS. Jurnal Sarjana Teknik Informatika, 1(1), 1–10.

Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., & Wirth, R. (2000). Crisp-Dm 1.0. CRISP-DM Consortium.

Eniyati, S. (2011). Perancangan Sistem Pendukung Pengambilan Keputusan untuk Penerimaan Beasiswa dengan Metode SAW (Simple Additive Weighting). Dinamik-Jurnal Teknologi Informasi, 16(Sri Eniyati), 171–177. Retrieved from http://www.unisbank.ac.id/ojs/index.php/fti1/article/view/364

Glassick, C. E. (2000). Reconsidering scholarship. Journal of Public Health Management and Practice, 6(1), 4–9. Retrieved from I:ResearchArticlesFAIMER-RefMgr3103.pdf

Gorunescu, F. (2011). Data mining: Concepts, models and techniques. Intelligent Systems Reference Library, 12. http://doi.org/10.1007/978-3-642-19721-5

Han, J., Kamber, M., & Pei, J. (2012). Data Mining. Data Mining. http://doi.org/10.1016/B978-0-12-381479-1.00001-0

Hand, D. J. (2007). Principles of data mining. In Drug Safety (Vol. 30, pp. 621–622). http://doi.org/10.2165/00002018-200730070-00010

Karismariyanti, M. (2011). Simulasi Pendukung Keputusan Penerima Beasiswa Menggunakan Metode Composite Performance Index. Jurnal Teknologi Informasi, 1(2).

Lengkong, S. P., Permanasari, A. E., & Fauziati, S. (2015). Implementasi Metode VIKOR untuk Seleksi Penerima Beasiswa. Proceedings of The 7 Th National Conference on Information Technology and Electrical Engineering, 33, 107–112.

Wu, X., Zhu, X., Wu, G.-Q., & Ding, W. (2014). Data Mining with Big Data. Knowledge and Data Engineering, IEEE Transactions on, 26, 97–107. http://doi.org/10.1109/TKDE.2013.109


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