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      "title": "ANALISIS OPINI PUBLIK TERHADAP PENANGANAN BENCANA\r\nALAM DI SUMATRA BERDASARKAN DATA X MENGGUNAKAN\r\nMETODE MULTINOMIAL NAÏVE BAYES",
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      "abstract": "Pada tahun 2025 khususnya akhir bulan November hingga pertengahan\r\nDesember, Sumatra mendapat banyak sorotan dari publik karena terjadinya bencana\r\nbanjir dan tanah longsor terutama di provinsi Sumatra Barat, Sumatra Utara dan\r\nAceh. Namun banyak masyarakat yang mengkritik kinerja dari pemerintah\r\nterutama di media sosial x. Menurut masyarakat jajaran petinggi ataupun pejabat\r\npemerintahan kita dalam menangani bencana yang terjadi kurang cepat dan tanggap\r\nkarena beberapa pejabat yang turun langsung pun seolah hanya melakukan\r\npencitraan. Dari beberapa rangkaian kejadian tersebut, saya ingin tau bagaimana\r\ntanggapan masyarakat terhadap kinerja yang telah dilakukan pemerintah dalam\r\nmenangani bencana di Sumatra. Pada penelitian ini media yang saya gunakan untuk\r\nmengukur tanggapan masyarakat ialah x , karena pada media sosial tersebut sering\r\ndigunakan untuk menyampaikan beberapa pendapat dan argumen perseorangan\r\nmaupun organisasi. X sendiri merupakan media sosial berbasis teks, gambar dan\r\nvideo. Namun beberapa pengguna twitter lebih banyak menggunakan media sosial\r\nini untuk mengkritik maupun menyampaikan pendapatnya terhadap isu yang\r\nsedang dibicarakan. Pada penelitian ini saya menilai argumen-argumen tersebut\r\nmenggunakan analisis sentimen, klasifikasi textblob dan algoritma Naïve Bayes.\r\nTextblob sendiri merupakan analisis teks digital untuk menampilka term yang\r\npaling banyak. Namun sebelum itu, teks yang telah terambil harus di-preprocessing\r\nterlebih dahulu. Naïve Bayes merupakan salah satu metode yang dapat digunakan\r\nuntuk mengklasifikasikan dan memprediksi data. Hasil klasifikasi yang dilakukan\r\nnantinya akan menampilkan jumlah data tweet positif, negative.",
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      "datestamp": "2026-10-06 02:37:28"
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