DETEKSI KATA TAK BAKU DAN KESALAHAN PENULISAN KATA PADA TUGAS AKHIR MAHASISWA MENGGUNAKAN METODE DICTIONARY LOOKUP

Alim Misbullah, Viska Mutiawani, Cut Mulyani
{"title":"DETEKSI KATA TAK BAKU DAN KESALAHAN PENULISAN KATA PADA TUGAS AKHIR MAHASISWA MENGGUNAKAN METODE DICTIONARY LOOKUP","authors":"Alim Misbullah, Viska Mutiawani, Cut Mulyani","doi":"10.22373/cj.v6i2.15423","DOIUrl":null,"url":null,"abstract":"Dictionary lookup is a simple searching method that aimed to find a word in the dictionary. The technique is effectively implemented to find the incorrect spelling based on the lexical resource. This research will create a system to detect non-standard and misspell words by looking into Standard Indonesian Language Dictionary (KBBI) and Kateglo Dictionary. In addition, the lookup process of the system is optimized by utilizing an index in the database. To validate the system, the front-end interface is created by displaying the options for end-user to upload their documents. The system will be evaluated by using 40 documents of the students' final project. The testing result shows that the average document processing speed is 187 words per second. The average of incorrect words in each document is 2.76%, with a precision value is 28.71%. The low precision is caused by the higher value of False Positive, which was determined by non-existence words in the dictionary. However, the system has shown good performance by obtaining higher True Negative values from each document which implies the accuracy is also high.","PeriodicalId":283432,"journal":{"name":"Cyberspace: Jurnal Pendidikan Teknologi Informasi","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cyberspace: Jurnal Pendidikan Teknologi Informasi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22373/cj.v6i2.15423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Dictionary lookup is a simple searching method that aimed to find a word in the dictionary. The technique is effectively implemented to find the incorrect spelling based on the lexical resource. This research will create a system to detect non-standard and misspell words by looking into Standard Indonesian Language Dictionary (KBBI) and Kateglo Dictionary. In addition, the lookup process of the system is optimized by utilizing an index in the database. To validate the system, the front-end interface is created by displaying the options for end-user to upload their documents. The system will be evaluated by using 40 documents of the students' final project. The testing result shows that the average document processing speed is 187 words per second. The average of incorrect words in each document is 2.76%, with a precision value is 28.71%. The low precision is caused by the higher value of False Positive, which was determined by non-existence words in the dictionary. However, the system has shown good performance by obtaining higher True Negative values from each document which implies the accuracy is also high.
使用使用字典查看方法,在学生的期末作业中检测生词和书写错误
字典查找是一种简单的搜索方法,目的是在字典中查找单词。该技术有效地实现了基于词汇资源查找错误拼写的功能。本研究将建立一个系统,通过查找标准印尼语词典(KBBI)和Kateglo词典来检测非标准和拼写错误的单词。此外,通过利用数据库中的索引优化了系统的查找过程。为了验证系统,前端界面是通过显示供最终用户上传文档的选项来创建的。该系统将通过使用学生期末项目的40个文档进行评估。测试结果表明,平均文档处理速度为187字/秒。每个文档的平均错误率为2.76%,精度值为28.71%。低精度是由较高的False Positive值引起的,这是由字典中不存在的单词决定的。然而,该系统显示出良好的性能,从每个文档中获得较高的真负值,这意味着精度也很高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信