Text Mining To Detect Plagiarism In E-Learning System Using Rabin Karp Algorithm

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@article{1701953,
      author = {Dita Baitu Rahmawati, Muhammad Luthfi Irfani, Rita Br Purba, Indra Ranggadara},
      title = {Text Mining To Detect Plagiarism In E-Learning System Using Rabin Karp Algorithm},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {8},
      pages = {183-191},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701953.pdf},
      abstract = {Plagiarism is copying someone else's work, by someone who makes the work as his work. Plagiarism can be considered a criminal act for stealing the works of others. The most common plagiarism acts are found in many academic fields, such as in the E-Learning system. E-Learning is a learning system that utilizes information technology in the process of learning and teaching, from accessing modules, filling the forum, and finish quizzes. This study aims to analyze plagiarism when filling out E-Learning forums. We apply the strategic approach of the Rabin-Karp algorithm, as a tool to detect plagiarism. The data we use in this study is processed using the text mining method. The process of detecting plagiarism in E-Learning systems uses the white insensitivity, K-Gram, Hash, Fingerprint, and Dice Similarity Coefficient processes. The results of plagiarism detection are obtained from the percentage of the similarity of answers in the E-Learning forum.},
      keywords = {Algorithm Rabin Karp, Data Mining, E-learning, Plagiarism, Similarity},
      month = {February},
  }