COVID-19 DETECTION SYSTEM ARCHITECTURE FOR PRE- SCREENING USING PSKVE-S

• Main Author: Fauziya, Arifa
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/82446
• Institution: Institut Teknologi Bandung

Coughing is one of the signs that makes it easier for diseases to spread. As research advances, the cough detection method can be used to stop the higher transmission chain by screening people across the country before they have symptomatic. A significant amount of work has been made in making these systems more accurate, but architectural solutions are still needed to deal with problems like scalability, sustainability, affordability, and utilization. Therefore, in this study, the author discusses the architectural layout of a cough detection system that can serve 300 million Indonesians through a scalable system at a low cost without sacrificing the system's sustainability over time. Utilizing PSKVE-S in system design can ensure long-term system long-term sustainability by focusing on five key areas: Product, Service, Knowledge, Value, and Environment. After tests using requirements analysis, PSKVE-S design, architectural design, and implementation, it was found that the target cost of services could result in sufficient revenue to cover the necessary ongoing costs. In some ways, utilizing the cloud can also be optimized compared to using computers on premises. Since the planned architecture can make the system last longer by bringing in greater revenue than it costs to construct, it can be stated that it is sustainable.