<mets:mets OBJID="eprint_32067" 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="2026-07-26T09:32:53Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>EPrints Universitas Amikom Yogyakarta</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_32067_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>SISTEM INFORMASI REKOMENDASI BERITA&#13;
MENGGUNAKAN COSINE SIMILARITY</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Tanujaya Chandra</mods:namePart><mods:namePart type="family">Setyawan</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Perkembangan portal berita digital memudahkan akses informasi, namun&#13;
meningkatnya jumlah artikel menimbulkan masalah information overload sehingga&#13;
pengguna kesulitan menemukan berita yang sesuai. Selain itu, ketergantungan pada&#13;
API pihak ketiga berpotensi menghambat keberlanjutan layanan dan optimalisasi&#13;
pengelolaan sistem. Oleh karena itu, penelitian ini merancang sistem portal berita&#13;
berbasis web yang dikembangkan secara end-to-end, mencakup backend, basis&#13;
data, dan frontend.&#13;
Sistem dilengkapi dengan mekanisme rekomendasi berbasis konten&#13;
menggunakan metode content-based filtering dengan TF-IDF dan cosine similarity&#13;
untuk mengukur kemiripan antarartikel. Hasil penelitian menunjukkan bahwa&#13;
sistem mampu menghasilkan rekomendasi berita yang relevan berdasarkan&#13;
kesamaan konten tanpa bergantung pada data interaksi pengguna dalam jumlah&#13;
besar. Pendekatan ini dinilai efektif sebagai solusi awal sistem rekomendasi berita&#13;
dan berpotensi dikembangkan lebih lanjut dengan metode yang lebih kompleks.</mods:abstract><mods:classification authority="lcc">000 Ilmu komputer, informasi dan pekerjaan umum</mods:classification><mods:classification authority="lcc">003 Sistem-sistem</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2026-02-24</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_32067"><mets:rightsMD ID="rights_eprint_32067_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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