AUTOMATIC EARLY DETECTION SYSTEM OF FEVERISH INFECTIOUS DISEASES IN PUBLIC AREAS: CLOUD APPLICATION SUBSYSTEM DESIGN AND IMPLEMENTATION

• Main Author: Hizbullah Rukmana, Titan
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/73867
• Institution: Institut Teknologi Bandung

This paper explores the architectural design of the cloud computing component within a 3-layered loT framework. The focus is on the automatic detection and identification of individuals with feverish infectious diseases in indoor public areas. The tightly integrated components of the cloud computing layer, including the frontend, backend, and database, function synergistically as a unified system. The primary role of this layer is to store data transmitted from edge devices and present it through an interactive dashboard. Additionally, the paper discusses important considerations to ensure compliance with system requirements and specifications. Although the implemented system has shown satisfactory results, scalability improvements are identified as a potential area for further development.