{"title":"基于Android手机前向链的新型冠状病毒SIMTEKDIN","authors":"Erly Krisnanik, Nadia Imawangi, H. N. Irmanda","doi":"10.1109/ICIMCIS53775.2021.9699351","DOIUrl":null,"url":null,"abstract":"Based on the results of monitoring through the covid19.go.id information channel managed by the Covid-19 Handling Task Force regarding the analysis of Covid-19 virus data as of July 18, 2021, there were 2,877,476 cumulative Covid-19 cases in Indonesia, of which 542.236 (18.8%) Among them were active cases, 2,261,658 (78.6%) were declared cured from being confirmed, and 73,582 (2.6%) died and were confirmed to have contracted Covid-19. The problems faced by the community today are still afraid to come to the hospital for an initial examination. Based on this, it is necessary to have a system application that can detect the level of risk of being exposed to Covid-19 for the community without having to come to the hospital. The research methodology used is agile software development using the sprint (the stages of the research carried out consisted of 3 sprints to produce a mobile-based SIMTEKDIN Covid 19 application). The results of this study are expected to help the public in knowing early the symptoms of Covid 19 disease. The contribution of this research is in the form of a mobile-based application of the Covid-19 Disease Early Detection Monitoring Information System (SIMTEKDIN).","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SIMTEKDIN of Covid-19 Using Forward Chaining Based on Android Mobile\",\"authors\":\"Erly Krisnanik, Nadia Imawangi, H. N. Irmanda\",\"doi\":\"10.1109/ICIMCIS53775.2021.9699351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the results of monitoring through the covid19.go.id information channel managed by the Covid-19 Handling Task Force regarding the analysis of Covid-19 virus data as of July 18, 2021, there were 2,877,476 cumulative Covid-19 cases in Indonesia, of which 542.236 (18.8%) Among them were active cases, 2,261,658 (78.6%) were declared cured from being confirmed, and 73,582 (2.6%) died and were confirmed to have contracted Covid-19. The problems faced by the community today are still afraid to come to the hospital for an initial examination. Based on this, it is necessary to have a system application that can detect the level of risk of being exposed to Covid-19 for the community without having to come to the hospital. The research methodology used is agile software development using the sprint (the stages of the research carried out consisted of 3 sprints to produce a mobile-based SIMTEKDIN Covid 19 application). The results of this study are expected to help the public in knowing early the symptoms of Covid 19 disease. The contribution of this research is in the form of a mobile-based application of the Covid-19 Disease Early Detection Monitoring Information System (SIMTEKDIN).\",\"PeriodicalId\":250460,\"journal\":{\"name\":\"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIMCIS53775.2021.9699351\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIMCIS53775.2021.9699351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SIMTEKDIN of Covid-19 Using Forward Chaining Based on Android Mobile
Based on the results of monitoring through the covid19.go.id information channel managed by the Covid-19 Handling Task Force regarding the analysis of Covid-19 virus data as of July 18, 2021, there were 2,877,476 cumulative Covid-19 cases in Indonesia, of which 542.236 (18.8%) Among them were active cases, 2,261,658 (78.6%) were declared cured from being confirmed, and 73,582 (2.6%) died and were confirmed to have contracted Covid-19. The problems faced by the community today are still afraid to come to the hospital for an initial examination. Based on this, it is necessary to have a system application that can detect the level of risk of being exposed to Covid-19 for the community without having to come to the hospital. The research methodology used is agile software development using the sprint (the stages of the research carried out consisted of 3 sprints to produce a mobile-based SIMTEKDIN Covid 19 application). The results of this study are expected to help the public in knowing early the symptoms of Covid 19 disease. The contribution of this research is in the form of a mobile-based application of the Covid-19 Disease Early Detection Monitoring Information System (SIMTEKDIN).
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
