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            "given": "Nasrul Amin"
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      "userid": 12,
      "title": "ANALISIS KOMPARATIF ARSITEKTUR EFFICIENTNET DAN MOBILENET UNTUK KLASIFIKASI KESUBURAN TELUR BEBEK BERDASARKAN CITRA CANDLING PADA PLATFORM ANDROID",
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      "uri": "http:\/\/eprints.amikom.ac.id\/id\/eprint\/31975",
      "date": "2026-01-22",
      "abstract": "Penelitian ini melakukan analisis komparatif untuk mengukur dan\r\nmembandingkan kinerja dua arsitektur Convolutional Neural Network (CNN),\r\nyaitu EfficientNet V2 B0 dan MobileNet V3 Large. Untuk mempercepat proses\r\npelatihan, penelitian ini mengimplementasikan teknik transfer learning dengan\r\nmenggunakan dataset citra candling telur publik dari platform Roboflow. Kinerja\r\nkedua model dievaluasi berdasarkan dua kategori utama. akurasi klasifikasi dan\r\nefisiensi pada perangkat mobile.\r\nHasil evaluasi menunjukkan bahwa EfficientNetV2B0 mencapai akurasi\r\nyang jauh lebih unggul dengan nilai accuracy 98%, F1-Score 0.9773, dan AUC\r\n0.998. Di sisi lain, MobileNetV3Large mencatatkan akurasi yang lebih rendah\r\nsebesar 86%, F1-Score 0.8637, dan AUC 0.931. Namun, dalam hal performa di\r\nperangkat mobile, MobileNetV3Large terbukti lebih efisien dengan ukuran model\r\nTF Lite hanya 13.73 MB dan kecepatan inferensi rata-rata 8.7 ms. Sebagai\r\nperbandingan, EfficientNetV2B0 memiliki ukuran model TF Lite 25.35 MB dan\r\nkecepatan inferensi 26.7 ms.\r\nHasil penelitian mengonfirmasi bahwa EfficientNetV2B0 menawarkan\r\nakurasi tertinggi, sementara MobileNetV3Large memberikan keseimbangan\r\nterbaik antara akurasi yang cukup dengan efisiensi yang baik, menjadikannya\r\nlebih cepat dan ringan untuk implementasi pada aplikasi Android. Aplikasi yang\r\ndikembangkan diharap dapat menjadi solusi praktis dan akurat bagi para peternak\r\nbebek untuk menekan potensi kerugian, dan mempermudah proses penyortiran\r\ntelur tanpa memerlukan keahlian khusus.",
      "type": "thesis",
      "thesis_type": "bachelor",
      "thesis_name": "skripsi",
      "keywords": "Klasifikasi Citra, Deep Learning, EfficientNet, MobileNet, Kesuburan Telur Bebek, Aplikasi Android, Candling, Duck Egg Fertility, Image Classification.",
      "status_changed": "2026-07-07 06:58:23",
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            "family": "Al Fatta",
            "lineage": null,
            "honourific": null,
            "given": "Hanif"
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