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          <dc:title>Sistem Rekomendasi Buku Menggunakan Collaborative Filtering dengan Matrix Factorization</dc:title>
          <dc:creator>Sari Indah Lestari</dc:creator>
          <dc:subject>sistem rekomendasi</dc:subject>
          <dc:subject>collaborative filtering</dc:subject>
          <dc:subject>matrix factorization</dc:subject>
          <dc:subject>machine learning</dc:subject>
          <dc:description>Penelitian ini membangun sistem rekomendasi buku perpustakaan menggunakan metode Collaborative Filtering dengan pendekatan Matrix Factorization. Evaluasi menggunakan RMSE menunjukkan akurasi 0.82 pada dataset 50.000 rating pengguna.</dc:description>
          <dc:publisher>Universitas Informatika Indonesia</dc:publisher>
          <dc:contributor>Dr. Siti Aisyah, M.T</dc:contributor>
          <dc:date>2024-09-01</dc:date>
          <dc:type>THESIS</dc:type>
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          <dc:identifier>https://repository.unimof.ac.id//sistem-rekomendasi-collaborative-filtering</dc:identifier>
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        <identifier>oai:repository.unimof.ac.id:cmp3jq0x500002a32varz1pt7</identifier>
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          <dc:title>Implementasi Machine Learning untuk Deteksi Berita Hoaks pada Media Sosial</dc:title>
          <dc:creator>Budi Santoso</dc:creator>
          <dc:creator>Ani Rahayu</dc:creator>
          <dc:subject>machine learning</dc:subject>
          <dc:subject>deteksi hoaks</dc:subject>
          <dc:subject>NLP</dc:subject>
          <dc:subject>media sosial</dc:subject>
          <dc:description>Penelitian ini mengimplementasikan algoritma Random Forest dan LSTM untuk mendeteksi berita hoaks yang tersebar di platform media sosial Indonesia. Dataset yang digunakan terdiri dari 10.000 berita berlabel yang dikumpulkan dari berbagai sumber terpercaya.</dc:description>
          <dc:publisher>Universitas Informatika Indonesia</dc:publisher>
          <dc:contributor>Dr. Eko Prasetyo, M.Kom</dc:contributor>
          <dc:date>2024-06-01</dc:date>
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          <dc:identifier>https://repository.unimof.ac.id//implementasi-machine-learning-deteksi-hoaks</dc:identifier>
          <dc:identifier>10.1234/uii.2024.0001</dc:identifier>
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