SISTEM PENUNJANG KEPUTUSAN KESEHATAN UNTUK HIPERTENSI MENGGUNAKAN ALGORITMA C4.5

Authors

  • Hilda Amalia Manajemen Informatika AMIK BSI Jakarta
  • Evicienna Evicienna Manajemen Informatika AMIK BSI Jakarta

DOI:

https://doi.org/10.33480/pilar.v9i1.120

Keywords:

Hypertension, C4.5 Algorithm, Decision Support System

Abstract

Hypertension is a cardiovascular disease that causes 4.5% of the global disease burden. Hypertension is a major risk factor for heart problems and can be said as the "silent killer" because there are no specific signs and can cause serious illness if left untreated for a long time. Decision support system for hypertension can be used to obtain the results of the decision of the cases, one of them using the decision tree method. Hypertension data will be processed using the method of decision tree algorithm C4.5 through software RapidMiner and will result in a decision support rules, the value of accuracy, and AUC than the rule. After testing the accuracy of the values obtained on the C4.5 algorithm by 76.6%, AUC values for 0862 with a good level of diagnostic classification.

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References

Abdullah, A. A., Zakaria, Z., & Mohammad, F. N. (2011). Design and Development of Fuzzy Expert System for Diagnosis of Hypertension. Second International Conference on Intelligent Systems, Modelling, and Simulation, 978-0-76954336-9.

Depkes. (2006). Pharmaceutical Care Untuk Penyakit Hipertensi. Jakarta: Direktorat Bina Farmasi Komunitas Dan Klinik Ditjen Bina Kefarmasian Dan Alat Kesehatan Departemen Kesehatan.

Hamdani. (2010). Sistem Pakar Untuk Diagnosa Penyakit Mata Pada Manusia. Jurnal Informatika Mulawarman. Vol 5 No. 2 Juli 2010 - 13

Han, J., & Kamber, M. (2007). Data Mining Concepts and Techniques. San Fransisco: Mofgan Kaufan Publisher.

Jr, McLeod Raymond. Sistem Informasi Manajemen. Edisi ketujuh. Jilid satu. PT. Penhelindo.Jakarta. 2001.

Kusrini, & Luthfi, E. T. (2009). Algoritma Data Mining. Yogyakarta: Andi Publishing.

Larose, D. T. (2005). Discovering Knowledge in Databases. New Jersey: John Willey & Sons Inc.

Riduwan. (2008). Metode dan Teknik Menyusun Tesis. Bandung: Alfabeta.

The Joint National Committee on Detection, Evaluation, and Treatment of High Blood Pressure: The Seventh Report of the Joint National Committee on Detection, Evaluation and Treatment of High Blood Pressure; Hypertension 2003;42:1206-52.

Vercellis, C. (2009). Business Intelligent: Data Mining and Optimization for Decision Making. Southern Gate: John Willey & Sons Inc.

Witten, H. I., Eibe, F., & Hall, A. M. (2011). Data Mining Machine Learning Tools and Techniques. Burlington: Morgan Kaufmann Publisher.

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Published

2019-03-07

How to Cite

Amalia, H., & Evicienna, E. (2019). SISTEM PENUNJANG KEPUTUSAN KESEHATAN UNTUK HIPERTENSI MENGGUNAKAN ALGORITMA C4.5. Jurnal Pilar Nusa Mandiri, 9(1), 15–22. https://doi.org/10.33480/pilar.v9i1.120

Issue

Vol. 9 No. 1 (2013): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2012 - Agustus 2013

Section

Articles

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