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      "abstract": "Status gizi balita merupakan indikator penting untuk menilai kondisi\r\nkesehatan masyarakat. Setiap kabupaten\/kota di Jawa Tengah memiliki\r\nkarakteristik yang berbeda terkait proporsi balita dengan berat badan kurang, balita\r\npendek, balita gizi kurang, dan balita gizi buruk. Penelitian ini bertujuan untuk\r\nmembentuk segmentasi status gizi balita antar wilayah serta membandingkan dua\r\nmetode klasterisasi K-Means dan Hierarchical Clustering dalam menghasilkan\r\nstruktur kelompok yang paling sesuai dengan pola data. \r\nData yang digunakan merupakan data publik BPS tahun 2024 yang berisi\r\npersentase berbagai indikator status gizi balita. Tahapan analisis mencakup\r\npraproses data, pembentukan klaster, dan evaluasi menggunakan metrik validitas\r\ninternal, yaitu Silhouette Score, Calinski–Harabasz Index, dan Davies–Bouldin\r\nIndex. Hasil evaluasi menunjukkan bahwa K-Means memberikan pemisahan klaster\r\nyang lebih baik dan konsisten dibandingkan Hierarchical Clustering. \r\nMetode terbaik tersebut kemudian digunakan untuk membentuk segmentasi\r\nwilayah di Jawa Tengah. Hasil segmentasi memperlihatkan adanya perbedaan pola\r\nindikator gizi antar kabupaten\/kota yang membentuk beberapa kelompok kondisi.\r\nTemuan ini dapat menjadi dasar awal untuk memahami kerentanan relatif setiap\r\nwilayah serta mendukung pemantauan dan evaluasi status gizi pada periode\r\nselanjutnya.",
      "subjects": [
        "000.000.000A",
        "000.000.004"
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      "rev_number": 16,
      "institution": "Universitas AMIKOM Yogyakarta",
      "keywords": "Status Gizi Balita, Klasterisasi, Hierarchical Clustering,\r\nAnalisis Segmentasi, Nutritional Status Toddlers, Clustering, K-Means, Hierarchical\r\nClustering, Segmentation Analysis.",
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      "title": "ANALISIS PERBANDINGAN K-MEANS DAN HIERARCHICAL\r\nCLUSTERING UNTUK SEGMENTASI WILAYAH \r\nBERDASARKAN INDIKATOR STATUS GIZI BALITA DI\r\nPROVINSI JAWA TENGAH",
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