Mendeteksi Plagiarism Pada Dokumen Proposal Skripsi Menggunakan Algoritma Jaro Winkler Distance

Sherly Christina, Enny Dwi Oktaviyani, Buyung Famungkas
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引用次数: 3

Abstract

The practice of plagiarism among students in working on their thesis might happen. Plagiarism is done considering to the limited workmanship and lack of motivation to try with their own ability. It is necessary to provide a tool to prevent the act of plagiarism among the students. In this research, we built an application to detect the plagiarism on the thesis proposal. The application applies the Jaro Winkler Distance algorithm to detect the similarity from several documents. The first phase to detect the similarity of the thesis proposals is The text preprocessing phase of the document such as case folding, tokenizing,  stopwords removal and stemming. Precision and Recall formula will be used to analyze the performance of the method in application. The test result of the data set shows the application could find the 80% relevant data that indicated the similarity. It means the application could contribute to detect the plagiarism on the thesis proposal document.
使用远程Jaro Winkler算法检测论文建议书的剽窃
学生在写论文时可能会出现抄袭的现象。抄袭是考虑到自己的技术水平有限,缺乏用自己的能力去尝试的动力。有必要提供一个工具来防止学生之间的抄袭行为。在这项研究中,我们建立了一个应用程序来检测论文的抄袭。该应用程序应用Jaro Winkler距离算法来检测多个文档的相似性。检测论文提案相似度的第一个阶段是文档的文本预处理阶段,如案例折叠、标记化、停止词去除和词干提取。用查全率和查全率公式来分析该方法在实际应用中的性能。数据集的测试结果表明,应用程序可以找到80%表示相似度的相关数据。这意味着该应用程序可以帮助检测论文开题文件中的抄袭。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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