Skripsi

SISTEM PEMANTAUAN SUHU TUBUH DAN LINGKUNGAN BERBASIS IOT DENGAN IMPLEMENTASI FUZZY LOGIC UNTUK MENCEGAH HIPOTERMIA

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Hypothermia is a condition in which body temperature drops below the normal limit because the body loses heat faster than it can produce it. This condition can be influenced by low environmental temperature and humidity, which may endanger human health. This study aims to design an Internet of Things (IoT)-based body and environmental temperature monitoring system with the implementation of Mamdani fuzzy logic to help detect hypothermia risk in real-time. The system uses the MLX90614 sensor to measure body temperature and the DHT22 sensor to measure environmental temperature and humidity. Sensor data are processed using the Mamdani fuzzy method through fuzzification, inference, and defuzzification stages to determine hypothermia risk categories, namely low, medium, and high. The test results show that the system is capable of monitoring and transmitting data in real-time through the Blynk platform. From 20 observation data, 17 were categorized as low risk, 1 as medium risk, and 2 as high risk. The average body temperature measured by the sensor was 36.31°C with an error percentage of 0.88% compared to a digital thermometer. The results indicate that the designed system performs well in assisting body and environmental condition monitoring as an early prevention effort against hypothermia.

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Detail Information

Series Title

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Call Number

T2008672026

Publisher

Palembang : Prodi Diploma III Teknik Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2026

Collation

xiii, 95 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

681.207

Content Type

Text

Media Type

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Carrier Type

-

Edition

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Subject(s)

Prodi Diploma III Teknik Komputer
Alat Ukur Medis

Specific Detail Info

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Statement of Responsibility

MI

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