<mets:mets OBJID="eprint_32083" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2026-07-26T09:32:59Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>EPrints Universitas Amikom Yogyakarta</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_32083_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>IMPLEMENTASI SISTEM REKOMENDASI WISATA PADA&#13;
WEBSITE NUSATRIP TAMBORA DENGAN METODE&#13;
CONTENT-BASED FILTERING</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Abidah</mods:namePart><mods:namePart type="family">Rahmi</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Pariwisata merupakan sektor strategis yang berperan penting dalam &#13;
meningkatkan perekonomian daerah, termasuk kawasan Tambora di Kabupaten&#13;
Dompu yang memiliki beragam potensi wisata alam, budaya, dan sejarah. Namun,&#13;
keterbatasan akses informasi yang relevan serta tidak adanya fitur rekomendasi&#13;
destinasi serupa pada platform digital menyebabkan wisatawan kesulitan dalam&#13;
menentukan pilihan wisata yang sesuai dengan minat dan kebutuhan mereka.&#13;
Penelitian ini bertujuan untuk mengimplementasikan sistem rekomendasi wisata&#13;
pada website NusaTrip Tambora dengan menggunakan metode Content-Based&#13;
Filtering berbasis Sentence-BERT dan Cosine Similarity. Data penelitian diperoleh&#13;
melalui proses web scraping terhadap artikel wisata yang tersedia secara daring,&#13;
kemudian dilakukan tahap preprocessing berupa lower casing dan cleaning teks.&#13;
Deskripsi wisata selanjutnya direpresentasikan ke dalam bentuk vektor&#13;
menggunakan model Sentence-BERT, yang kemudian dihitung tingkat&#13;
kemiripannya menggunakan Cosine Similarity untuk menghasilkan rekomendasi&#13;
wisata serupa. Hasil penelitian menunjukkan bahwa sistem rekomendasi yang&#13;
dibangun mampu memberikan rekomendasi wisata yang relevan dan kontekstual&#13;
berdasarkan kesamaan makna deskripsi wisata. Sistem juga berhasil&#13;
diimplementasikan secara fungsional pada website dan dapat membantu pengguna&#13;
dalam menemukan alternatif destinasi wisata yang sesuai, sehingga meningkatkan&#13;
efektivitas pencarian dan pengalaman pengguna dalam merencanakan perjalanan&#13;
wisata.</mods:abstract><mods:classification authority="lcc">000 Ilmu komputer, informasi dan pekerjaan umum</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2026-01-22</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Universitas AMIKOM Yogyakarta;Fakultas Ilmu Komputer</mods:publisher></mods:originInfo><mods:genre>Thesis</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_32083"><mets:rightsMD ID="rights_eprint_32083_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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