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      "abstract": "Pariwisata merupakan sektor strategis yang berperan penting dalam \r\nmeningkatkan perekonomian daerah, termasuk kawasan Tambora di Kabupaten\r\nDompu yang memiliki beragam potensi wisata alam, budaya, dan sejarah. Namun,\r\nketerbatasan akses informasi yang relevan serta tidak adanya fitur rekomendasi\r\ndestinasi serupa pada platform digital menyebabkan wisatawan kesulitan dalam\r\nmenentukan pilihan wisata yang sesuai dengan minat dan kebutuhan mereka.\r\nPenelitian ini bertujuan untuk mengimplementasikan sistem rekomendasi wisata\r\npada website NusaTrip Tambora dengan menggunakan metode Content-Based\r\nFiltering berbasis Sentence-BERT dan Cosine Similarity. Data penelitian diperoleh\r\nmelalui proses web scraping terhadap artikel wisata yang tersedia secara daring,\r\nkemudian dilakukan tahap preprocessing berupa lower casing dan cleaning teks.\r\nDeskripsi wisata selanjutnya direpresentasikan ke dalam bentuk vektor\r\nmenggunakan model Sentence-BERT, yang kemudian dihitung tingkat\r\nkemiripannya menggunakan Cosine Similarity untuk menghasilkan rekomendasi\r\nwisata serupa. Hasil penelitian menunjukkan bahwa sistem rekomendasi yang\r\ndibangun mampu memberikan rekomendasi wisata yang relevan dan kontekstual\r\nberdasarkan kesamaan makna deskripsi wisata. Sistem juga berhasil\r\ndiimplementasikan secara fungsional pada website dan dapat membantu pengguna\r\ndalam menemukan alternatif destinasi wisata yang sesuai, sehingga meningkatkan\r\nefektivitas pencarian dan pengalaman pengguna dalam merencanakan perjalanan\r\nwisata."
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