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Judul:	Diagnosa Penyakit Saluran Pernafasan Dengan Menggunakan Support Vector Machine (SVM)
Penulis:	Zeth A. Leleury & Berny P. Tomasouw \|\| email: info@mx.unpatti.ac.id
Jurnal:	Barekeng Vol. 9 no. 2 - hal. 109-119 Tahun 2015 [ MIPA ]
Keywords:	Respiratory disease, SVM.
Abstract:	Support Vector Machine (SVM) has been widely used to solve various problems in the context of decision making based on the training provided. SVM application can be applied in various fields, one of them is in the health field. In this study, application of SVM is used to diagnose diseases of respiratory tract, especially in Tuberculosis, Asthma, Sinusitis, Bronchitis, Pneumonia, and ISPA diseases based on the symptoms of the respiratory disease. The data used in this study as many as 77 data, the data for the 56 training and 21 data for testing. The above data was obtained from medical records space Hospital Dr. M. Haulussy Ambon. In this study, variations on SVM kernel functions is tested to get the best accuracy. Best accuracy rate of 21 testing data is obtained by 80.95%.
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