DEVELOPMENT OF BACKEND SOFTWARE SYSTEM FOR HEART DISEASE SENSOR READER USING ELECTROCHEMICAL VOLTAMMETRY TECHNIQUE

• Main Author: Abdi Wiguna, Kristo
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/82418
• Institution: Institut Teknologi Bandung

The potential for heart disease can be detected through the use of sensor readers that apply electrochemical voltammetry techniques. This technique allows for the rapid identification of critical biomarkers, specifically cardiac troponin, resulting in raw data from voltammetry tests. This study focuses on developing a backend module capable of processing raw data from voltammetry measurements into information that is easy to interpret for assessing heart disease potential. This process involves converting complex data into a format that can be used by users through a web interface. The implementation of this backend system uses FastAPI technology and a PostgreSQL database to manage data and communicate with the client side. System testing and evaluation are conducted in several ways, including testing the functionality and performance scenarios of the backend application. The test results of the backend system architecture demonstrate reliability and effectiveness in processing and presenting data according to defined needs.