Nathanael Liman, M. Wijanto, M. Ayub, Bernard Suteja, Try Atmaja Linggan Jaya
{"title":"基于知识管理系统的高校招生工作开发","authors":"Nathanael Liman, M. Wijanto, M. Ayub, Bernard Suteja, Try Atmaja Linggan Jaya","doi":"10.28932/jutisi.v8i2.4651","DOIUrl":null,"url":null,"abstract":" The study will develop a prototype to implement a knowledge management system using the information retrieval method. As a study case, the knowledge about university admission will be used. The users of the system consist of guests, admin, and admission staff. The guest can search for information in the dashboard and give suggestions. The admission staff can add new knowledge or modify the existing knowledge. The new knowledge should be verified and approved by the admin. The testing was performed to verify that the system works as it should be, especially for information searching. The results show that searchingusing lowercase and without stopword, or punctuation gives better similarity index. Searching using unigram also has better similarity index.","PeriodicalId":185279,"journal":{"name":"Jurnal Teknik Informatika dan Sistem Informasi","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of University Admission Based on Knowledge Management System\",\"authors\":\"Nathanael Liman, M. Wijanto, M. Ayub, Bernard Suteja, Try Atmaja Linggan Jaya\",\"doi\":\"10.28932/jutisi.v8i2.4651\",\"DOIUrl\":null,\"url\":null,\"abstract\":\" The study will develop a prototype to implement a knowledge management system using the information retrieval method. As a study case, the knowledge about university admission will be used. The users of the system consist of guests, admin, and admission staff. The guest can search for information in the dashboard and give suggestions. The admission staff can add new knowledge or modify the existing knowledge. The new knowledge should be verified and approved by the admin. The testing was performed to verify that the system works as it should be, especially for information searching. The results show that searchingusing lowercase and without stopword, or punctuation gives better similarity index. Searching using unigram also has better similarity index.\",\"PeriodicalId\":185279,\"journal\":{\"name\":\"Jurnal Teknik Informatika dan Sistem Informasi\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Teknik Informatika dan Sistem Informasi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.28932/jutisi.v8i2.4651\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Teknik Informatika dan Sistem Informasi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.28932/jutisi.v8i2.4651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of University Admission Based on Knowledge Management System
The study will develop a prototype to implement a knowledge management system using the information retrieval method. As a study case, the knowledge about university admission will be used. The users of the system consist of guests, admin, and admission staff. The guest can search for information in the dashboard and give suggestions. The admission staff can add new knowledge or modify the existing knowledge. The new knowledge should be verified and approved by the admin. The testing was performed to verify that the system works as it should be, especially for information searching. The results show that searchingusing lowercase and without stopword, or punctuation gives better similarity index. Searching using unigram also has better similarity index.