Building A Web-Based Final Project Detection Information System with Incremental Method and Jaccard Similarity Algorithm

Maria Eryestin Nahak, Darsono Nababan, Yasinta O.L Rema
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引用次数: 0

Abstract

Thesis is a scientific work and one of the graduation requirements for students in tertiary institutions. The process of implementing the thesis at the Information Technology Study Program at the University of Timor is still done manually, starting from submitting titles to data processing which allows for duplicate titles, difficulty finding data and losing data. For this reason, a system is needed to avoid the risk of duplicate titles and difficulty finding the data. So in this study an information system will be built to detect the similarity of the title of the final project (Thesis) using the incremental method and the Jaccard similarity algorithm as a plagiarism detection algorithm. The application of the incremental method is due to its flexible nature and less risk of failure than other development methods. System testing is carried out on the functional system and using the User Acceptance Test. Based on the test results, this system facilitates Study Programs in submitting final assignment titles, finding final assignment data, minimizing the risk of duplicate titles through the Title Similarity Percentage testing feature to find out the highest level of similarity based on thesis title category and avoiding data loss.
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基于增量法和Jaccard相似度算法构建基于web的期末项目检测信息系统
论文是一项科学工作,是高等院校学生的毕业要求之一。东帝汶大学资讯科技研究计划的论文执行过程仍然是手工完成的,从提交题目到数据处理,这可能导致题目重复,难以找到数据和丢失数据。出于这个原因,需要一个系统来避免重复标题和难以找到数据的风险。因此,本研究将构建一个信息系统来检测期末项目(论文)标题的相似度,采用增量法和Jaccard相似度算法作为抄袭检测算法。增量方法的应用是由于它的灵活性和比其他开发方法更小的失败风险。系统测试是在功能系统上进行的,并使用用户验收测试。本系统根据测试结果,方便Study Programs提交最终作业题目,查找最终作业数据,通过题目相似度百分比测试功能,根据论文题目类别找出最高的相似度,最大限度地减少重复题目的风险,避免数据丢失。
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自引率
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发文量
15
审稿时长
8 weeks
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