Mudjijana, Mudjijana and Risdiana, Nurvita and Adiningrat, Arya and Himarosa, Rela Adi and Krisdiyanto, Krisdiyanto and Adi, Rahmad Kuncoro and Yulianti, Evy and Sofyantoro, Fajar and Ansori, Muchamad Afif (2024) Design and Performance Evaluation of Alternative Home Care Systems for Detecting SARS CoV-2 using the RT-LAMP Method. In: THE 8TH INTERNATIONAL CONFERENCE AND EXHIBITION ON SUSTAINABLE ENERGY AND ADVANCED MATERIALS (ICE-SEAM) 2022, 28–29 October 2022, Bandung, Indonesia.
Full text not available from this repository. (Request a copy)Abstract
The global pandemic announced by the World Health Organization (WHO) in January 2020 has infected many people in various countries. The Covid-19 pandemic, caused by SARS CoV-2, is a disease that is difficult to diagnose because of its non-specific clinical symptoms. Some observed clinical symptoms include fever, cough, or shortness of breath that occurs approximately two days after exposure to the virus. RT-qPCR is a method that can be used to detect the SARS CoV-2 virus, with high sensitivity and specificity. However, this method has several disadvantages, including requiring special equipment, a long process, high costs, and the need for special expertise from operators and analysts in implementing the method. RT-LAMP is an alternative method that can detect the SARS CoV-2 virus faster with high sensitivity. The advantages of RT-LAMP compared to the RT-qPCR method are that it requires less equipment, a relatively shorter time, and a lower cost to detect the SARS CoV-2 virus. Our current study reported that the RT-LAMP machine showed an accuracy of 96.67 in detecting the presence of the SARS CoV-2 virus. © 2024 American Institute of Physics Inc.. All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Cited by: 0 |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering > Mechanical and Industrial Engineering Department |
| Depositing User: | Rita Yulianti Yulianti |
| Date Deposited: | 17 Jul 2025 01:37 |
| Last Modified: | 17 Jul 2025 01:37 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/12908 |
