Sistem Klasifikasi Kondisi Pita Suara dengan Metode Decision Tree

Hertiana Bethaningtyas, Suwandi Suwandi, Chintia Dara Anggraini

Abstract


Makalah ini menyajikan studi tentang klasifikasi kondisi pita suara menggunakan pengolahan citra digital. Ada enam klasifikasi dari pita suara termasuk kondisi normal pita suara. Sebelum proses klasifikasi, gambar pita suara diekstraksi untuk mendapatkan karakteristik atau informasi objek dalam gambar. Dalam makalah ini digunakan pengukuran bentuk untuk mengekstrak kontur glotis pita suara yang dapat dianalisis dan diklasifikasikan. Proses mengukur kontur glotis pita suara membutuhkan citra biner pita suara. Untuk mendapatkan citra biner digunakan metode segmentasi otomatis tanpa inisialisasi pengguna. Segmentasi dilakukan menggunakan kontur aktif, yaitu algoritme Chan-Vese. Hasil studi ini dapat mengoptimalkan ekstraksi kontur glotis pita suara dan hasil dari proses pelatihan klasifikasi yang menggunakan algoritme pohon keputusan mendapatkan akurasi 98,3%.

Keywords


Pita Suara; Pengukuran Bentuk; Algoritme Chan-Vese; Algoritme Pohon Keputusan

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References


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DOI: http://dx.doi.org/10.22146/jnteti.v8i2.506

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