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

Sultoni, Firman - Personal Name;

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).


Availability
#
Central Library (REFERENS) T1809742025
T180974
Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1809742025
Publisher
Palembang : Prodi D3 Teknik Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025
Collation
xiii, 81 hlm.; ilus.; tab, 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
006.307
Content Type
Text
Media Type
unmediated
Carrier Type
other (computer)
Edition
-
Subject(s)
Kecerdasan Buatan
Prodi D3 Teknik Komputer
Specific Detail Info
-
Statement of Responsibility
MURZ
Other version/related
TitleEditionLanguage
DESAIN ALAT MONITORING KUALITAS AIR BERBASIS INTERNET OF THINGS (IOT)id
File Attachment
  • IMPLEMENTASI ALAT PENGUKUR TEKANAN DARAH BERAT BADAN DAN TINGGI BADAN UNTUK SKRINING AWAL PASIEN BERBASIS IOT DAN PENGOLAHAN DATA DIGITAL
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