Implementation of a Responsive Web Interface for IoT-Based Scoliosis Monitoring Visualization

Haekal Ahmad Zanziban; Bagus Adhi Kusuma

doi:10.59934/jaiea.v5i3.2435

Authors

Haekal Ahmad Zanziban Universitas Amikom Purwokerto
Bagus Adhi Kusuma Universitas Amikom Purwokerto

DOI:

https://doi.org/10.59934/jaiea.v5i3.2435

Keywords:

Internet of Things, Scoliosis Monitoring, Responsive Web Interface, Real-Time Visualization, Digital Healthcare

Abstract

The rapid advancement of digital health technology has increased the demand for real-time and continuous patient monitoring systems, particularly for conditions such as scoliosis that require routine postural assessment. Conventional monitoring approaches often lack effective data visualization and multi-device accessibility, limiting their practical use in healthcare environments. This study aims to design and implement a responsive web interface for real-time visualization of data generated by an Internet of Things (IoT)-based scoliosis monitoring system. The Research and Development (R&D) approach was applied through four stages: system requirement identification, interface design, system implementation, and system evaluation. Data were collected from IoT sensors measuring the Angle of Trunk Rotation (ATR) and transmitted continuously to a web-based dashboard. Evaluation results demonstrated that the system successfully performed stable real-time data transmission, maintained proper synchronization between the IoT device and the server, and displayed monitoring information through responsive graphical and indicator-based visualizations on both desktop and mobile devices. The proposed interface improves data accessibility, supports early detection of scoliosis, and facilitates faster interpretation of patient condition data, contributing to more effective digital healthcare monitoring.

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