KLASIFIKASI PENYAKIT KULIT MENGGUNAKAN SUPPORT VECTOR MACHINE
Keywords:
Support Vector Machine, Wavelet Transform, Citra Medis, Pengolahan Citra Digital, Identifikasi Penyakit KulitAbstract
Penyakit kulit adalah kelainan pada kulit yang mempengaruhi kesehatan kulit, seperti
ruam, peradangan, rasa gatal, atau perubahan kulit lainnya. Penyakit kulit dapat
disebabkan oleh berbagai hal, termasuk faktor kebersihan diri, paparan zat berbahaya di
lingkungan, dan infeksi. Perkembangan penyakit kulit yang beragam saat ini, baik dalam
aplikasi bentuk, warna, dan tekstur/motif menimbulkan ide peneliti untuk menciptakan
suatu cara guna mempermudah pengenalan jenis penyakit kulit pada citra, salah satunya
melalui metode klasifikasi. Klasifikasi citra bermanfaat untuk mempercepat proses
pencarian citra penyakit kulit. Pada penelitian ini klasifikasi citra dilakukan
menggunakan Support Vector Machine (SVM). Support Vector Machine dapat
mengidentifikasi sekitar 60% ruam merah dan 30% ruam hitam pada kelainan kulit.
Meskipun demikian, penelitian menunjukkan masih terdapat ruang untuk pengembangan
algoritme yang lebih kompleks dan akurat.
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