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      "keywords": "YouTube, Sentimen, Barak Militer, SVM, Pendidikan, Sentiment, Military Barracks, Education.",
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      "abstract": "Penelitian ini membahas analisis sentimen terhadap komentar pengguna\r\nYouTube yang merespons video bertema “Siswa Kabur dari Pesantren” yang\r\nberkaitan dengan wacana pengiriman siswa bermasalah ke barak militer. Isu\r\ntersebut menuai beragam reaksi publik, mulai dari dukungan terhadap pendekatan\r\ndisipliner hingga kritik atas metode yang dianggap terlalu represif. \r\nPenelitian ini bertujuan untuk mengklasifikasikan sentimen komentar ke\r\ndalam kategori positif dan negatif guna memperoleh gambaran umum persepsi\r\nmasyarakat terhadap kebijakan tersebut. Data diambil dari kolom komentar pada\r\nvideo yang relevan dan diolah melalui proses crawling, preprocessing teks, dan\r\nvektorisasi menggunakan TF-IDF. Untuk klasifikasi sentimen, digunakan\r\nalgoritma Support Vector Machine (SVM) yang dikenal memiliki akurasi tinggi\r\ndalam pemrosesan teks. \r\nHasil penelitian menunjukkan bahwa mayoritas komentar bernada negatif,\r\nyang mencerminkan kekhawatiran terhadap pendekatan militeristik dalam dunia\r\npendidikan. Meski begitu, terdapat pula komentar yang menunjukkan dukungan\r\nterhadap kebijakan tersebut dengan alasan pembentukan karakter dan\r\nkedisiplinan. Penelitian ini diharapkan dapat memberikan wawasan bagi\r\npengambil kebijakan, pendidik, dan masyarakat umum dalam memahami respons\r\npublik terhadap isu-isu pendidikan yang kontroversial di ruang digital.",
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