<mets:mets OBJID="eprint_32186" 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="2026-07-21T07:09:36Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>EPrints Universitas Amikom Yogyakarta</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_32186_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>SENTIMENT ANALYSIS OF THE AMIKOM WHATSAPP&#13;
 CALLER CENTER CHATBOT USING LONG SHORT-TERM&#13;
 MEMORY (LSTM)</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Kezaala Dody Islam</mods:namePart><mods:namePart type="family">Mohammed</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Penelitian  ini  bertujuan  untuk  menganalisis  sentimen  chatbots  Amikom  yang &#13;
 digunakan  oleh  Whatsapp  Caller  Center  dengan  menggunakan  metode  Long  Short-Term &#13;
 Memory  (LSTM).  Data  yang  digunakan  adalah  data  sentimen  yang  terdiri  dari &#13;
 pesan-pesan  yang  dikirim  oleh  pengguna  kepada  chatbots  Amikom  melalui  layanan &#13;
 Whatsapp  Caller  Center.  Metode  LSTM  dipilih  karena  mampu  menangani  data  yang &#13;
 memiliki  hubungan  temporal  yang  kuat  dan  mampu  memprediksi  sentimen  pengguna &#13;
 dengan  akurasi  yang  tinggi.  Hasil  dari  penelitian  ini  menunjukkan  bahwa  metode  LSTM &#13;
 dapat  digunakan  untuk  menganalisis  sentimen  chatbots  Amikom  dengan  akurasi  sebesar &#13;
 96%.</mods:abstract><mods:classification authority="lcc">000 Ilmu komputer, informasi dan pekerjaan umum</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2026-02-27</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_32186"><mets:rightsMD ID="rights_eprint_32186_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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