Deteksi Penyakit Dengue Hemorrhagic Fever dengan Pendekatan One Class Classification
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ID: 11773
2017
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Abstract
Abstrak— Pada kasus deteksi penderita penyakit demam berdarah ( Dengue Hemorrhagic Fever - DHF), data training yang tersedia umumnya hanya data pasien penderita positif. Sedangkan data orang normal (data negatif) tidak tersedia secara khusus. Pada makalah ini dipaparkan pembangunan model klasifikasi untuk deteksi DHF dengan pendekatan One Class Classification (OCC). Data yang digunakan pada penelitian ini adalah hasil uji darah dari laboratorium dari pasien penderita penyakit demam berdarah. Metode yang diteliti adalah One-class Support Vector Machine dan K-Means . Hasil yang diperoleh pada penelitian ini adalah untuk metode SVM memiliki nilai precisi
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| Reference Key |
azkiya2017deteksijournal
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|---|---|
| Authors | Zida Ziyan Azkiya;Fatma Indriani;Heru Kartika Chandra; |
| Journal | journal of information systems engineering and business intelligence |
| Year | 2017 |
| DOI |
10.20473/jisebi.3.2.129-133
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