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Rancang Bangun Alat Pendeteksi Tingkat Stress Pada Manusia Berbasis Arduino Uno

Nuril Hidayah et al · Department of Electrical Engineering, Faculty of Engineering, Universitas Khairun · 2021

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Stress can be sourced from a variety of things, many negative impacts without us realizing that stress is caused by health. Therefore, a tool capable of being used to automatically measure stress levels in humans is required as a tool to monitor health. This human stress level detection tool uses a tool used to measure the level of human tension condition with three parameters, namely measuring heart rate using pulse sensor, body temperature using temperature sensor DS18B20 and skin moisture using galvanic skin response (gsr) sensor then the data will be sent, processed and processed using Arduino Uno R3 Microcontroller to process information to determine the level of stress condition of a person classified into 4 conditions namely relax , calm, anxious, and tense. Data retrieval is done for 1 minute with the measurement data results displayed on the LCD monitor scree

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APA 7

al, N. H. E. (2021). Rancang Bangun Alat Pendeteksi Tingkat Stress Pada Manusia Berbasis Arduino Uno. https://doi.org/10.33387/protk.v8i1.2240

MLA

al, Nuril Hidayah et. "Rancang Bangun Alat Pendeteksi Tingkat Stress Pada Manusia Berbasis Arduino Uno." 2021. https://doi.org/10.33387/protk.v8i1.2240.

Chicago

al, Nuril Hidayah et. 2021. "Rancang Bangun Alat Pendeteksi Tingkat Stress Pada Manusia Berbasis Arduino Uno.". https://doi.org/10.33387/protk.v8i1.2240.

Harvard

al, N. H. E. 2021, Rancang Bangun Alat Pendeteksi Tingkat Stress Pada Manusia Berbasis Arduino Uno, Department of Electrical Engineering, Faculty of Engineering, Universitas Khairun, available at: https://doi.org/10.33387/protk.v8i1.2240 [Accessed 7 Aug. 2026].

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Title
Rancang Bangun Alat Pendeteksi Tingkat Stress Pada Manusia Berbasis Arduino Uno
Author / contributors
Nuril Hidayah et al
Publisher
Department of Electrical Engineering, Faculty of Engineering, Universitas Khairun
Publication year
2021
ISSN
2354-8924
ISSN
2354-8924
Language
English

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