{"title":"An Approach to Monitor Vaccine Quality During Distribution Using Internet of Things","authors":"I. K. A. Enriko, Fariz Alemuda, Daniel Adrianto","doi":"10.6688/JISE.202209_38(5).0005","DOIUrl":null,"url":null,"abstract":"Vaccines containing living entities must be stored in a strictly controlled environment;otherwise, the vaccine would be obsolete if the criteria did not occur. Hence, the current distribution vaccine is only implemented in the local system. There is no interconnection between the temperature sensor to the command center. Only the local staff can know the status while they did not maintain it continuously. Moreover, the system relies on a paper -based report, so there is no prevention system to mitigate any potential failure. This research proposes an IoT-based vaccine monitoring system to help stakeholders maintain vaccine distribution. This research focuses on the distribution of Sinovac as the most extensive and most-ready stock. The overall system consists of devices, networks, and an application. Devices reside either in a static environment or a mobile environment. Network connectivity relies on LoRaWAN, and GSM depends on the actual availabilities. Application is responsible for displaying, track, and notifying the status of the vaccines. Furthermore, this research discusses the measurement method and testing method.","PeriodicalId":50177,"journal":{"name":"Journal of Information Science and Engineering","volume":"1981 1","pages":"951-962"},"PeriodicalIF":0.5000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.6688/JISE.202209_38(5).0005","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Vaccines containing living entities must be stored in a strictly controlled environment;otherwise, the vaccine would be obsolete if the criteria did not occur. Hence, the current distribution vaccine is only implemented in the local system. There is no interconnection between the temperature sensor to the command center. Only the local staff can know the status while they did not maintain it continuously. Moreover, the system relies on a paper -based report, so there is no prevention system to mitigate any potential failure. This research proposes an IoT-based vaccine monitoring system to help stakeholders maintain vaccine distribution. This research focuses on the distribution of Sinovac as the most extensive and most-ready stock. The overall system consists of devices, networks, and an application. Devices reside either in a static environment or a mobile environment. Network connectivity relies on LoRaWAN, and GSM depends on the actual availabilities. Application is responsible for displaying, track, and notifying the status of the vaccines. Furthermore, this research discusses the measurement method and testing method.
期刊介绍:
The Journal of Information Science and Engineering is dedicated to the dissemination of information on computer science, computer engineering, and computer systems. This journal encourages articles on original research in the areas of computer hardware, software, man-machine interface, theory and applications. tutorial papers in the above-mentioned areas, and state-of-the-art papers on various aspects of computer systems and applications.