使用Levenshtein距离算法的“SITUK”应用程序的单词搜索

I. G. S. Mas Diyasa, Kraugusteeliana, Gideon Setya Budiwitjaksono, Alfiatun Masrifah, Muhammad Rif'an Dzulqornain
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引用次数: 0

摘要

在线能力认证测试综合系统(SITUK)是一个应用程序,用于在LSP (Lembaga Sertifikasi专业)UPN (Pembangunan国立大学)“退伍军人”爪哇铁木尔进行评估过程(能力认证),每次评估之后都要进行大约500次评估。因此存储的数据相当多,所以要使用搜索系统来查找数据。通常,在输入非标准拼写或拼写错误的关键字时会出现错误。例如,关键字“simple”,尽管默认拼写是“simple”。当然,管理员会得到不完整的信息,甚至管理员无法获得与输入的关键字匹配的信息。为了克服在SITUK应用程序上进行数据搜索时遇到的问题,我们需要一种字符串搜索方法来最大化搜索结果。其中使用的一种算法是Levenshtein,它可以计算两个字符串之间的差距离。在SITUK应用程序的数据搜索系统上实现Levenshtein算法,通过添加、插入和删除字符的机制,克服了关键词拼写错误的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Word Search on the "SITUK" Application Using the Levenshtein Distance Algorithm
Integrated System for Online Competency Certification Test (SITUK) is an application used to carry out the assessment process (competency certification) at LSP (Lembaga Sertifikasi Profesional) UPN (University of Pembangunan Nasional) “Veteran” Jawa Timur, each of which is followed by approximately five hundred (500) assessments. Thus the data stored is quite a lot, so to find data using a search system. Often, errors occur in entering keywords that are not standard spelling or typos. For example, the keyword "simple," even though the default spelling is "simple." Of course, the admin will get incomplete information, and even the admin fails to get information that matches the entered keywords. To overcome the problems experienced in conducting data searches on the SITUK application, we need a string search approach method to maximize the search results. One of the algorithms used is Levenshtein which can calculate the distance of difference between two strings. Implementation of the Levenshtein algorithm on the data search system in the SITUK application has been able to overcome the problem of misspelling keywords with the mechanism of adding, inserting, and deleting characters.
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