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All Journal Journal of Students‘ Research in Computer Science (JSRCS)
Muhammad Anas Kusuma Amir
Universitas Bhayangkara Jakarta Raya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Arsitektur Mikrolayanan pada Platform Penilaian Risiko Kardiovaskular Menggunakan Vue.js dan Integrasi Vertex AI Muhammad Anas Kusuma Amir; Prio Kustanto
Journal of Students‘ Research in Computer Science Vol. 7 No. 1 (2026): Mei 2026
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/gxcnsw60

Abstract

Heart disease is a leading cause of death in Indonesia, exacerbated by delayed diagnosis and lack of access to healthcare facilities. This study aimed to develop JantungIn, a cardiovascular risk assessment web platform using a microservices architecture. The system separated the user interface layer using Vue.js, server logic with Hapi.js, and a Supabase relational database. The novelty of this research lay in the real-time integration of a TensorFlow.js prediction model and a Vertex AI Dialogflow CX intelligent virtual assistant. System evaluation using the Black Box method covered positive and negative scenarios on core functionalities, including role authentication for doctors and patients, medical parameter validation, and medical history storage. The testing results showed that the software architecture successfully processed data exchange without functional errors. In conclusion, JantungIn was successfully implemented as a reliable medical decision support system to facilitate early detection of heart disease in the community.
Co-Authors Kustanto , Prio