DIAGNOSIS SYSTEM OF HEART DISEASE BASED ON CLOUD COMPUTING USING TECHNOLOGY ACCEPTANCE MODEL

Data from WHO shows heart disease as one of the diseases with the highest mortality rate in the world, including in Indonesia. In Bali Province, the lack of early diagnosis of disorders and complaints experienced by sufferers early on, and the lack of health medical personnel scattered throughout Bali to be able to provide optimal health services, delay the handling of sufferers and early prevention. With the rapid development and utilization of Information Technology (IT), it is necessary to have a system that can make it easier for people with heart disease to be able to make diagnoses related to the complaints and symptoms they are experiencing, independently and online. The system must be able to be accessed anytime and anywhere, have high reliability and availability in computer networks, and can quickly provide diagnostic results to users. For this reason, in this study, an online cloud computing-based heart disease diagnosis system was developed. This research uses the Technology Acceptance Model (TAM) and Case Based Reasoning (CBR) methods. The research methodology used the Design Science Research Methodology (DSRM) with a case study qualitative research method. The final results of the research are expected to help the community and the Bali Provincial Health Office in reducing the death rate from heart disease.

Keywords: Case Based Reasoning (CBR), Cloud Computing, diagnosis, Design Science Research Methodology (DSRM), Technology Acceptance Model (TAM)