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  1. 81

    Evaluasi Kinerja MLLIB APACHE SPARK pada Klasifikasi Berita Palsu dalam Bahasa Indonesia by Antonius Angga Kurniawan, Metty Mustikasari

    Published 2022-06-01
    “…Algoritma klasifikasi yang diterapkan adalah Naïve Bayes, Gradient-Boosted Tree, SVM dan Logistic Regression. …”
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    Article
  2. 82

    Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

    Published 2021-10-01
    “…This process is useful to understand the true meaning of a word with ambiguous meaning, which may have different meanings depending on the context. …”
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  3. 83

    Analisis Perbandingan Algoritma Machine Learning dan Deep Learning untuk Klasifikasi Citra Sistem Isyarat Bahasa Indonesia (SIBI) by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

    Published 2023-08-01
    “…Machine learning classification algorithms have lower computation time, while Deep learning has higher classification performance. …”
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  4. 84

    Implementasi Simple Additive Weight pada Sistem Pendukung Keputusan Penerima Bantuan Stimulan Perumahan Swadaya Berbasis Web di Dinas Perumahan dan Kawasan Pemukiman Kota Magelang by Eko Joko Pamungkas, Uky Yudatama, Emilya Ully Artha

    Published 2022-08-01
    “…The criteria that must be met to get this Self-Help Housing Stimulant Assistance are Conditions of Roof, Walls, Doors & Windows, Floor, Foundation, Sanitation, and prospective recipients must be Indonesian citizens and have a certificate of title to the land of the house. …”
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  5. 85

    Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

    Published 2020-05-01
    “…Abstract Posts sent via twitter are called tweets or in Indonesian better known as chirping, the posts shared have a maximum limit, the writing cannot be more than 140 characters, the characters here consist of letters, numbers, and symbols. …”
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  6. 86

    Pemodelan Simulasi Sistem Dinamik untuk Meningkatkan Jumlah Pendapatan Unit Rawat Inap Rumah Sakit Islam Surabaya A.Yani by Anwar Romadhon, Erma Suryani

    Published 2020-05-01
    “…Of course this has an impact on more competitive competitiveness. Indonesian government policy that requires hospitals to work closely with the National Health Insurance (JKN) in order to equalize health services affects the amount of revenue. …”
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  7. 87