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      "abstract": "Industri peternakan ayam memiliki peran penting dalam mendukung\r\nketahanan pangan di Indonesia, terutama sebagai sumber utama protein hewani.\r\nNamun, sektor ini menghadapi tantangan serius berupa tingginya tingkat\r\npenyebaran penyakit unggas seperti Coccidiosis, New Castle Disease (NCD), dan\r\nSalmonella. Penyakit-penyakit tersebut dapat menyebabkan kematian massal pada\r\nunggas, menurunkan produktivitas dan menimbulkan kerugian ekonomi yang\r\nbesar. Proses diagnosis penyakit unggas yang masih banyak dilakukan secara\r\nmanual membutuhkan keahliuan khusus dan waktu yang relatif lama, sehingga\r\nberisiko menghambat deteksi dini dan penanganan yang cepat.\r\nPenelitian ini bertujuan untuk mengembangkan sistem klasifikasi penyakit\r\nunggas berbasis citra menggunakan pendekatan deep learning dengan arsitektur\r\nVision Transformer (ViT). Vision Transformer dipilih karena kemampuannya\r\ndalam menangkap hubungan global antar bagian citra melalui mekanisme selfattention.\r\nUntuk\r\nmeningkatkan\r\nkualitas\r\ncitra,\r\nditerapkan\r\nmetode\r\nContrast\r\nLimited\r\n\r\nAdaptive\r\n\r\nHistogram Equalization (CLAHE) sebagai tahap pra-pemrosesan.\r\nPeneltian ini dilakukan dengan bebebarapa skenario, yaitu tanpa CLAHE, CLAHE\r\npenuh pada channel RGB, dan CLAHE pada komponen luminance, guna\r\nmenganalisis pengaruh peningkatan kontras terhadap kinerja model.\r\nHasil penelitian menunjukkan bahwa model Vision Transformer mampu\r\nmencapai akurasi klasifikasi di atas 97% pada seluruh skenario pengujian. Namun,\r\npenerapan CLAHE tidak memberika peningkatan performa yang signifikan\r\ndibanginkan penggunaan citra asli. Penelitian ini berkontribusi dalam penerapan\r\nVision Transformer untuk deteksi penyakit unggas secara otomatis dan dapat\r\ndimanfaatkan oleh peternak, praktisi kesehatan hewan, serta peneliti sebagai sistem\r\npendukung pengambilan keputusan. Penelitian selanjutnya disarankan untuk\r\nmenggunakan dataset yang lebih beragam dan kondisi pencahayaan yang lebih\r\nekstrem.",
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      "title": "KLASIFIKASI PENYAKIT PADA UNGGAS AYAM BERBASIS\r\nCITRA MENGGUNAKAN ALGORITMA CLAHE VISION\r\nTRANSFORMERS",
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