IMPLEMENTASI ALAT PENGUKUR TEKANAN DARAH BERAT BADAN DAN TINGGI BADAN UNTUK SKRINING AWAL PASIEN BERBASIS IOT DAN PENGOLAHAN DATA DIGITAL

SULTONI, FIRMAN and Exaudi, Kemahyanto and Hermansyah, Adi (2025) IMPLEMENTASI ALAT PENGUKUR TEKANAN DARAH BERAT BADAN DAN TINGGI BADAN UNTUK SKRINING AWAL PASIEN BERBASIS IOT DAN PENGOLAHAN DATA DIGITAL. Diploma thesis, Sriwijaya University.

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Abstract

Health is a fundamental aspect that every individual must pay attention to in order to maintain an optimal quality of life. Regular monitoring of bodily conditions serves as a preventive measure to detect potential health issues at an early stage, allowing for timely and appropriate intervention. With the advancement of digital technology, the integration of the Internet of Things (IoT) into healthcare services has fostered the development of more efficient, faster, and easily accessible screening systems. This study presents the design and implementation of an IoT-based Smart Health system capable of digitally measuring blood pressure, body weight, and height. The system further classifies health status using fuzzy logic and Body Mass Index (BMI) calculations. Measurement data are transmitted in real time using the WebSocket protocol and visualized through an interactive web interface powered by Chart.js, making examination results easier to interpret for users. The testing results demonstrate that the implementation of fuzzy logic and BMI successfully automates health status classification with an accuracy rate of 95% when compared to reference data. Additionally, the use of the WebSocket protocol significantly improves data transmission speed, achieving an average latency of 20–50 milliseconds, which is considerably faster than traditional HTTP methods requiring around 200–300 milliseconds. Moreover, the visual interface design enhances the comprehensibility of screening results for general users (patients).

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	Internet of Things, Blood Pressure, BMI, Fuzzy Logic, WebSocket, Real-time Health Monitoring
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) > TA158.7 Computer network resources Including the Internet
Divisions:	09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User:	Firman Sultoni
Date Deposited:	29 Jul 2025 13:41
Last Modified:	29 Jul 2025 13:43
URI:	http://repository.unsri.ac.id/id/eprint/180974

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