I. G. S. Mas Diyasa, Kraugusteeliana, Gideon Setya Budiwitjaksono, Alfiatun Masrifah, Muhammad Rif'an Dzulqornain
{"title":"使用Levenshtein距离算法的“SITUK”应用程序的单词搜索","authors":"I. G. S. Mas Diyasa, Kraugusteeliana, Gideon Setya Budiwitjaksono, Alfiatun Masrifah, Muhammad Rif'an Dzulqornain","doi":"10.33005/ijdasea.v1i2.13","DOIUrl":null,"url":null,"abstract":"Integrated System for Online Competency Certification Test (SITUK) is an application used to carry out\n the assessment process (competency certification) at LSP (Lembaga Sertifikasi Profesional) UPN (University\n of Pembangunan Nasional) “Veteran” Jawa Timur, each of which is followed by approximately five hundred (500)\n assessments. Thus the data stored is quite a lot, so to find data using a search system. Often, errors occur\n in entering keywords that are not standard spelling or typos. For example, the keyword \"simple,\" even though\n the default spelling is \"simple.\" Of course, the admin will get incomplete information, and even the admin\n fails to get information that matches the entered keywords. To overcome the problems experienced in\n conducting data searches on the SITUK application, we need a string search approach method to maximize the\n search results. One of the algorithms used is Levenshtein which can calculate the distance of difference\n between two strings. Implementation of the Levenshtein algorithm on the data search system in the SITUK\n application has been able to overcome the problem of misspelling keywords with the mechanism of adding,\n inserting, and deleting characters.","PeriodicalId":220622,"journal":{"name":"Internasional Journal of Data Science, Engineering, and Anaylitics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Word Search on the \\\"SITUK\\\" Application Using the Levenshtein Distance Algorithm\",\"authors\":\"I. G. S. Mas Diyasa, Kraugusteeliana, Gideon Setya Budiwitjaksono, Alfiatun Masrifah, Muhammad Rif'an Dzulqornain\",\"doi\":\"10.33005/ijdasea.v1i2.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Integrated System for Online Competency Certification Test (SITUK) is an application used to carry out\\n the assessment process (competency certification) at LSP (Lembaga Sertifikasi Profesional) UPN (University\\n of Pembangunan Nasional) “Veteran” Jawa Timur, each of which is followed by approximately five hundred (500)\\n assessments. Thus the data stored is quite a lot, so to find data using a search system. Often, errors occur\\n in entering keywords that are not standard spelling or typos. For example, the keyword \\\"simple,\\\" even though\\n the default spelling is \\\"simple.\\\" Of course, the admin will get incomplete information, and even the admin\\n fails to get information that matches the entered keywords. To overcome the problems experienced in\\n conducting data searches on the SITUK application, we need a string search approach method to maximize the\\n search results. One of the algorithms used is Levenshtein which can calculate the distance of difference\\n between two strings. Implementation of the Levenshtein algorithm on the data search system in the SITUK\\n application has been able to overcome the problem of misspelling keywords with the mechanism of adding,\\n inserting, and deleting characters.\",\"PeriodicalId\":220622,\"journal\":{\"name\":\"Internasional Journal of Data Science, Engineering, and Anaylitics\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Internasional Journal of Data Science, Engineering, and Anaylitics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33005/ijdasea.v1i2.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internasional Journal of Data Science, Engineering, and Anaylitics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33005/ijdasea.v1i2.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.