Klasifikasi Ras Mongoloid Berbasis Citra Wajah menggunakan Algoritma k-Nearest Neighbors

Febryanti Sthevanie, Kurniawan Nur Ramadhani, Hafidh Fikri Rasyid

Abstract


Pada penelitian ini dibangun sistem untuk mengklasifikasi ras Mongoloid dan non-Mongoloid berdasarkan daerah periorbital wajah. Penelitian ini menggunakan metode ekstraksi ciri Local Binary Pattern (LBP) dan algoritma klasifikasi k-Nearest Neighbors (k-NN). Penelitian ini menggunakan citra wajah dari 996 individu berbeda. Dari penelitian ini, didapatkan konfigurasi parameter terbaik untuk algoritma LBP yaitu nilai P=8, R=4 dan ukuran grid 5x5. Sedangkan untuk k-NN didapatkan nilai optimal untuk parameter k=5. Nilai akurasi terbaik yang didapatkan pada sistem klasifikasi ras ini  menggunakan metode LBP dan k-NN adalah sebesar 91,88%.

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DOI: http://dx.doi.org/10.21108/INDOJC.2018.3.1.212

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