Y. Indrianti, Sasmoko, S. R. Manalu, Queensy Lovenia Kerrin Waromi
{"title":"教育专业化与职业专业化作为人工智能网站发展基础的文献综述","authors":"Y. Indrianti, Sasmoko, S. R. Manalu, Queensy Lovenia Kerrin Waromi","doi":"10.1145/3508259.3508296","DOIUrl":null,"url":null,"abstract":"Profiles of specialization in education and profession are currently heavily influenced by the development of industry 4.0. The era of disruption is marked by massive changes due to innovations that change business systems and arrangements to newer levels. In various studies, there will be many professions that are extinct but there will also be many new professions that will be born. This study aims to conduct a literature review of profiles of specialization in education and profession that are relevant to industry 4.0 trends which will then be developed in a measurement through an artificial intelligence-based website. The research method used is a bibliometric approach through scientific studies of various library sources using VOSViewer with cartographic overlay techniques and density visualization maps, to represent sequences and their relationships. While the method used to develop website profiles of specialization in education and profession based on artificial intelligence is to use the waterfall method. The results of the literature review found 10 words with a high level of bibliometric correlation as the basis for developing artificial intelligence-based websites.","PeriodicalId":259099,"journal":{"name":"Proceedings of the 2021 4th Artificial Intelligence and Cloud Computing Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Literature Review Profiles of Specialization in Education and Profession as the basis for the development of Artificial Intelligence Website\",\"authors\":\"Y. Indrianti, Sasmoko, S. R. Manalu, Queensy Lovenia Kerrin Waromi\",\"doi\":\"10.1145/3508259.3508296\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Profiles of specialization in education and profession are currently heavily influenced by the development of industry 4.0. The era of disruption is marked by massive changes due to innovations that change business systems and arrangements to newer levels. In various studies, there will be many professions that are extinct but there will also be many new professions that will be born. This study aims to conduct a literature review of profiles of specialization in education and profession that are relevant to industry 4.0 trends which will then be developed in a measurement through an artificial intelligence-based website. The research method used is a bibliometric approach through scientific studies of various library sources using VOSViewer with cartographic overlay techniques and density visualization maps, to represent sequences and their relationships. While the method used to develop website profiles of specialization in education and profession based on artificial intelligence is to use the waterfall method. The results of the literature review found 10 words with a high level of bibliometric correlation as the basis for developing artificial intelligence-based websites.\",\"PeriodicalId\":259099,\"journal\":{\"name\":\"Proceedings of the 2021 4th Artificial Intelligence and Cloud Computing Conference\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 4th Artificial Intelligence and Cloud Computing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3508259.3508296\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 4th Artificial Intelligence and Cloud Computing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3508259.3508296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Literature Review Profiles of Specialization in Education and Profession as the basis for the development of Artificial Intelligence Website
Profiles of specialization in education and profession are currently heavily influenced by the development of industry 4.0. The era of disruption is marked by massive changes due to innovations that change business systems and arrangements to newer levels. In various studies, there will be many professions that are extinct but there will also be many new professions that will be born. This study aims to conduct a literature review of profiles of specialization in education and profession that are relevant to industry 4.0 trends which will then be developed in a measurement through an artificial intelligence-based website. The research method used is a bibliometric approach through scientific studies of various library sources using VOSViewer with cartographic overlay techniques and density visualization maps, to represent sequences and their relationships. While the method used to develop website profiles of specialization in education and profession based on artificial intelligence is to use the waterfall method. The results of the literature review found 10 words with a high level of bibliometric correlation as the basis for developing artificial intelligence-based websites.