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      "abstract": "Perkembangan media sosial, khususnya platform YouTube, menyebabkan\r\nmeningkatnya aktivitas interaksi digital melalui kolom komentar. Namun,\r\ntingginya aktivitas tersebut juga memunculkan permasalahan berupa penyebaran\r\nkomentar spam promosi judi online yang dapat mengganggu kenyamanan\r\npengguna serta menimbulkan dampak sosial dan ekonomi yang merugikan.\r\nKarakteristik komentar spam yang menggunakan variasi penulisan seperti Unicode\r\ndekoratif, leetspeak, dan pengulangan karakter menyebabkan proses deteksi\r\nmenjadi lebih kompleks. Oleh karena itu, diperlukan sistem klasifikasi otomatis\r\nyang mampu mendeteksi komentar spam secara efektif menggunakan pendekatan\r\nNatural Language Processing (NLP) dan machine learning.\r\nPenelitian ini menggunakan dataset sebanyak 10.946 komentar YouTube\r\nyang diperoleh melalui YouTube Data API. Tahapan penelitian meliputi\r\npreprocessing teks berupa Unicode normalization, case folding, leetspeak\r\nconversion, compress character, dan text cleaning. Pelabelan data dilakukan secara\r\notomatis menggunakan pendekatan rule-based entity detection berbasis pola nama\r\nsitus judi online. Selanjutnya, representasi teks dilakukan menggunakan metode\r\nTF–IDF dan proses klasifikasi menggunakan algoritma Naïve Bayes dan Support\r\nVector Machine (SVM). Penelitian juga menerapkan teknik data balancing\r\nmenggunakan Random UnderSampling untuk menganalisis pengaruh\r\nketidakseimbangan kelas terhadap performa model.\r\nHasil penelitian menunjukkan bahwa algoritma SVM memiliki performa\r\nlebih baik dibandingkan Naïve Bayes dalam mengklasifikasikan komentar spam\r\njudi online berdasarkan metrik accuracy, precision, recall, dan F1-score. Selain itu,\r\npenerapan data balancing terbukti mampu meningkatkan kemampuan model dalam\r\nmendeteksi kelas spam. Penelitian ini diharapkan dapat menjadi referensi dalam\r\npengembangan sistem moderasi otomatis komentar media sosial serta mendukung\r\nupaya deteksi spam berbasis teks pada platform digital.",
      "date": "2026-05-22",
      "corp_creators": [
        "Universitas AMIKOM Yogyakarta"
      ],
      "keywords": "NLP, spam komentar, judi online, Naïve Bayes, SVM, spam comments, online gambling.",
      "rev_number": 16,
      "contributors": [
        {
          "name": {
            "family": "Verawati",
            "honourific": null,
            "lineage": null,
            "given": "Ike"
          }
        }
      ],
      "creators": [
        {
          "name": {
            "given": "Ginaris",
            "family": "Buono",
            "honourific": null,
            "lineage": null
          },
          "nim": "22.11.5068"
        }
      ],
      "title": "KLASIFIKASI KOMENTAR SPAM JUDI ONLINE BERBASIS\r\nNLP PADA PLATFORM YOUTUBE MENGGUNAKAN\r\nALGORITMA NAÏVE BAYES DAN SVM",
      "thesis_type": "bachelor",
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      "department": "Fakultas Ilmu Komputer",
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