Muhammad Alvin Noor Reza, E. A. Z. Hamidi, Ririn Herawati, E. Mulyana
{"title":"印度尼西亚人工智能的研究发展和景观","authors":"Muhammad Alvin Noor Reza, E. A. Z. Hamidi, Ririn Herawati, E. Mulyana","doi":"10.1109/ICWT50448.2020.9243659","DOIUrl":null,"url":null,"abstract":"This study aims to find out the map of the development of Artificial Intelligence Research in Indonesia. The development of a study will be interrelated with research that has been done before. The existence of methods, infrastructure, data and others become a consideration when conducting research. The success of a study is supported by the existence of these things. The method used is to browse through the Lens.org website with keywords Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Network, Convolution Neural Network, Natural Language Processing, Computer Vision, Backpropagation, and Support Vector Machine. Data sources were also taken from surveys conducted using the Google form platform, where the data from the survey results are still in the form of preliminary results. Data from these two sources are exported and processed into several parts, namely the number of publications, the type of publication, the most active institutions, open access publications, the most publications cited and the application of artificial intelligence technology in life aspects. The most published category is Support Vector Machine. The types of publications that are widely publicized are journal articles and conference proceedings. Institutions that have the most publications in each field are generally Telkom University, University of Indonesia, Bandung Institute of Technology and Sepuluh November Institute of Technology. The most cited paper is in the support vector machine category. Based on these data, Artificial Intelligence Research in Indonesia can be said to have developed rapidly.","PeriodicalId":304605,"journal":{"name":"2020 6th International Conference on Wireless and Telematics (ICWT)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research Development and Landscape Artificial Intelligence in Indonesia\",\"authors\":\"Muhammad Alvin Noor Reza, E. A. Z. Hamidi, Ririn Herawati, E. Mulyana\",\"doi\":\"10.1109/ICWT50448.2020.9243659\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to find out the map of the development of Artificial Intelligence Research in Indonesia. The development of a study will be interrelated with research that has been done before. The existence of methods, infrastructure, data and others become a consideration when conducting research. The success of a study is supported by the existence of these things. The method used is to browse through the Lens.org website with keywords Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Network, Convolution Neural Network, Natural Language Processing, Computer Vision, Backpropagation, and Support Vector Machine. Data sources were also taken from surveys conducted using the Google form platform, where the data from the survey results are still in the form of preliminary results. Data from these two sources are exported and processed into several parts, namely the number of publications, the type of publication, the most active institutions, open access publications, the most publications cited and the application of artificial intelligence technology in life aspects. The most published category is Support Vector Machine. The types of publications that are widely publicized are journal articles and conference proceedings. Institutions that have the most publications in each field are generally Telkom University, University of Indonesia, Bandung Institute of Technology and Sepuluh November Institute of Technology. The most cited paper is in the support vector machine category. Based on these data, Artificial Intelligence Research in Indonesia can be said to have developed rapidly.\",\"PeriodicalId\":304605,\"journal\":{\"name\":\"2020 6th International Conference on Wireless and Telematics (ICWT)\",\"volume\":\"150 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 6th International Conference on Wireless and Telematics (ICWT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWT50448.2020.9243659\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th International Conference on Wireless and Telematics (ICWT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWT50448.2020.9243659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research Development and Landscape Artificial Intelligence in Indonesia
This study aims to find out the map of the development of Artificial Intelligence Research in Indonesia. The development of a study will be interrelated with research that has been done before. The existence of methods, infrastructure, data and others become a consideration when conducting research. The success of a study is supported by the existence of these things. The method used is to browse through the Lens.org website with keywords Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Network, Convolution Neural Network, Natural Language Processing, Computer Vision, Backpropagation, and Support Vector Machine. Data sources were also taken from surveys conducted using the Google form platform, where the data from the survey results are still in the form of preliminary results. Data from these two sources are exported and processed into several parts, namely the number of publications, the type of publication, the most active institutions, open access publications, the most publications cited and the application of artificial intelligence technology in life aspects. The most published category is Support Vector Machine. The types of publications that are widely publicized are journal articles and conference proceedings. Institutions that have the most publications in each field are generally Telkom University, University of Indonesia, Bandung Institute of Technology and Sepuluh November Institute of Technology. The most cited paper is in the support vector machine category. Based on these data, Artificial Intelligence Research in Indonesia can be said to have developed rapidly.