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      "abstract": "Penyakit pada daun mangga sering kali terlambat teridentifikasi akibat\r\nketerbatasan pengetahuan visual petani dan minimnya akses terhadap tenaga ahli\r\npertanian. Kondisi ini berdampak pada penurunan kualitas panen, penyebaran\r\npenyakit di area perkebunan, serta kerugian ekonomi bagi petani.\r\nPenelitian ini mengembangkan sistem klasifikasi penyakit daun mangga\r\nsecara otomatis menggunakan pendekatan deep learning. Dua arsitektur\r\nConvolutional Neural Network (CNN), yaitu EfficientNet B0 dan MobileNetV3,\r\ndievaluasi dan dibandingkan kinerjanya dalam mengklasifikasikan delapan kelas\r\nkondisi daun mangga. Pengujian dilakukan menggunakan dataset publik Kaggle\r\nmaupun citra lapangan. Teknik pra-pemrosesan berupa segmentasi penghapusan\r\nlatar belakang (background removal) juga diterapkan untuk mengukur ketangguhan\r\nkedua model terhadap pergeseran domain dan gangguan visual.\r\nHasil pengujian pada citra lapangan menunjukkan bahwa MobileNetV3\r\nlebih tangguh dengan akurasi 71.25% dibandingkan EfficientNet B0 yang\r\nmencapai 62.50%. Setelah diterapkan segmentasi latar belakang, akurasi\r\nEfficientNet B0 meningkat signifikan menjadi 75.00%. Sistem yang dikembangkan\r\nberpotensi dimanfaatkan sebagai alat bantu diagnosis dini yang praktis bagi petani.",
      "thesis_name": "skripsi",
      "department": "Fakultas Ilmu Komputer",
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      "creators": [
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          "name": {
            "given": "Yohanes",
            "honourific": null,
            "family": "Sindhunata",
            "lineage": null
          },
          "nim": "22.11.4708"
        }
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      "thesis_type": "bachelor",
      "date": "2026-04-24",
      "ispublished": "unpub",
      "uri": "http:\/\/eprints.amikom.ac.id\/id\/eprint\/33148",
      "type": "thesis",
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      "rev_number": 15,
      "institution": "Universitas AMIKOM Yogyakarta",
      "userid": 12,
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      "datestamp": "2026-10-05 07:04:06",
      "title": "ANALISIS PERBANDINGAN KINERJA ARSITEKTUR\r\nEFFICIENTNET B0 DAN MOBILENETV3 UNTUK\r\nKLASIFIKASI PENYAKIT PADA CITRA DAUN\r\nMANGGA",
      "keywords": "Klasifikasi Penyakit Tanaman, Daun Mangga, EfficientNet B0,\r\nMobileNetV3, Segmentasi Citra, Plant Disease Classification, Mango Leaves.",
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