Rancang Bangun Aplikasi Desktop Penilaian Mutu Telur Puyuh Berbasis Fitur Tekstur, Warna, dan SVM
DOI:
https://doi.org/10.29407/9byf9b90Abstract
Penilaian mutu telur puyuh secara manual rentan terhadap subjektivitas dan kelelahan pekerja, sehingga hasilnya seringkali tidak konsisten. Oleh karena itu, diperlukan sistem otomatis untuk meningkatkan objektivitas penilaian. Penelitian ini bertujuan merancang bangun aplikasi desktop klasifikasi mutu telur puyuh menggunakan bahasa pemrograman Python dan antarmuka PyQt5. Pengolahan citra dilakukan melalui ekstraksi fitur tekstur Gray Level Co-occurrence Matrix dan fitur warna Hue Saturation Value. Data tersebut kemudian diklasifikasikan menggunakan algoritma Support Vector Machine ke dalam tiga kelas mutu: baik, sedang, dan buruk. Hasil pengujian fungsional black box menunjukkan seluruh fitur aplikasi berjalan dengan baik sesuai rancangan sistem. Selain itu, evaluasi performa model membuktikan tingkat akurasi mencapai sembilan puluh persen. Kesimpulannya, aplikasi yang dibangun terbukti efektif dan siap digunakan sebagai alat bantu penilaian yang objektif bagi peternak telur puyuh.
Keywords:
aplikasi, citra digital, ekstraksi fitur, klasifikasi, telur puyuh##plugins.themes.default.displayStats.downloads##
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