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<title><![CDATA[ANALISIS SENTIMEN FILM ICE COLD DI NETFLIX DENGAN  METODE K MEANS]]></title>
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<namePart>Britney Levina Sukma</namePart>
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<namePart>Indra Kelana Jaya, S.T., M.Kom.</namePart>
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<namePart>Asaziduhu Gea, S.Kom., M.Kom.</namePart>
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<publisher><![CDATA[Universitas Methodist Indonesia]]></publisher>
<dateIssued><![CDATA[2024]]></dateIssued>
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<note>ABSTRAK
Penelitian ini menganalisis sentimen penonton terhadap film "Ice Cold" di 
Netflix menggunakan metode K-Means Clustering. Dari 326 tweet yang dianalisis, 
implementasi K-Means Clustering berhasil mengidentifikasi dua cluster utama. 
Cluster positif (C1) dengan presentase 78,52% menunjukkan dukungan terhadap 
keyakinan bahwa Jessica tidak bersalah. Sementara itu, cluster negatif (C2) 
sebanyak 21,47% mencakup ulasan yang meragukan Jessica tidak bersalah. Hasil 
ini memberikan gambaran mendalam tentang perpecahan pandangan di masyarakat 
terkait kontroversi Jessica Mirna dalam film "Ice Cold" di Netflix. Temuan ini 
memberikan wawasan yang berharga terkait respons penonton dan kompleksitas 
opini masyarakat terhadap kasus yang diangkat dalam film tersebut.
Kata Kunci : Film Ice Cold, Netflix, K-Means Clustering</note>
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