<?xml version="1.0" encoding="UTF-8" ?>
<modsCollection xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" xmlns:slims="http://slims.web.id" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd">
 <slims:resultInfo>
  <slims:modsResultNum>3</slims:modsResultNum>
  <slims:modsResultPage>1</slims:modsResultPage>
  <slims:modsResultShowed>10</slims:modsResultShowed>
 </slims:resultInfo>
 <mods version="3.3" ID="7836">
  <titleInfo>
   <title>IMPLEMENTASI METODE SUPPORT VECTOR MACHINE UNTUK SENTIMENT ANALYSIS VIRUS CORONA VARIAN OMICRON</title>
  </titleInfo>
  <name type="personal" authority="">
   <namePart>Fitriyani, S.T, M.Kom (Pembimbing)</namePart>
   <role>
    <roleTerm type="text">Editor</roleTerm>
   </role>
  </name>
  <name type="personal" authority="">
   <namePart>HARNAS HAPOMEDI - 16180065</namePart>
   <role>
    <roleTerm type="text">Primary Author</roleTerm>
   </role>
  </name>
  <typeOfResource collection="yes">mixed material</typeOfResource>
  <identifier type="isbn"></identifier>
  <originInfo>
   <place>
    <placeTerm type="text"></placeTerm>
    <publisher></publisher>
    <dateIssued>2022/2023</dateIssued>
   </place>
  </originInfo>
  <slims:image>Screenshot_2023-06-07_132253.png.png</slims:image>
 </mods>
 <mods version="3.3" ID="7324">
  <titleInfo>
   <title>KLASIFIKASI KELUHAN NASABAH MENGGUNAKAN &#13;
METODE TF-IDF DAN CONVOLUTIONAL NEURAL &#13;
NETWORK (STUDI KASUS:</title>
   <subTitle>BANK RAKYAT INDONESIA)</subTitle>
  </titleInfo>
  <name type="personal" authority="">
   <namePart>Toni Arifin., S.T., M.Kom (Pembimbing)</namePart>
   <role>
    <roleTerm type="text">Editor</roleTerm>
   </role>
  </name>
  <name type="personal" authority="">
   <namePart>FEBRIANSYAH ACHMAD HIDAYAT - 17160122</namePart>
   <role>
    <roleTerm type="text">Primary Author</roleTerm>
   </role>
  </name>
  <typeOfResource collection="yes">mixed material</typeOfResource>
  <identifier type="isbn"></identifier>
  <originInfo>
   <place>
    <placeTerm type="text"></placeTerm>
    <publisher></publisher>
    <dateIssued>2021/2022</dateIssued>
   </place>
  </originInfo>
  <slims:image>Screenshot_2023-04-04_141948.png.png</slims:image>
 </mods>
 <mods version="3.3" ID="5096">
  <titleInfo>
   <title>Analisis Sentimen untuk Mengukur Tingkat Indikasi Depresi Berdasarkan Data pada Twitter Menggunakan Algoritma Text Mining</title>
  </titleInfo>
  <name type="personal" authority="">
   <namePart>Maxsi Ary, S.Si., S.Kom., M.Kom</namePart>
   <role>
    <roleTerm type="text">Editor</roleTerm>
   </role>
  </name>
  <name type="personal" authority="">
   <namePart>Bella Nurfadhila-16160114</namePart>
   <role>
    <roleTerm type="text">Primary Author</roleTerm>
   </role>
  </name>
  <typeOfResource collection="yes">mixed material</typeOfResource>
  <identifier type="isbn"></identifier>
  <originInfo>
   <place>
    <placeTerm type="text"></placeTerm>
    <publisher>UNIVERSITAS BSI BANDUNG</publisher>
    <dateIssued>2017-2018</dateIssued>
   </place>
  </originInfo>
  <slims:image>cover.PNG.PNG</slims:image>
 </mods>
</modsCollection>
