Karel Octavianus Bachri, Arka Soewono, Kevin

Implementasi dan Analisis Alat Kompres Demam Suhu Hangat dengan Sensor DS18B20 dan Pengendali Arduino Uno

Introduction

Implementasi dan analisis alat kompres demam suhu hangat dengan sensor ds18b20 dan pengendali arduino uno. Rancang bangun alat kompres demam digital berbasis Arduino Uno dengan sensor DS18B20 untuk manajemen demam non-medis. Kontrol suhu hangat (37.5-42°C) & timer 20 menit.

Abstract

Fever is a condition where the body temperature rises above normal levels, often caused by an infection. Non-medical management of fever can be done by using cold or warm compresses. Warm compresses are more effective but require a complex and repetitive process. This study is the design of a Digital Fever Compress Device using warm temperature based on Arduino Uno. The Digital Fever Compress Device is designed for non-medical fever management. The Digital Fever Compress Device is equipped with a DS18B20 sensor, Liquid Crystal Display (LCD), Relay, cartridge heater as a heating element, three pushbuttons, XL4005 stepdown module, and one On-Off switch. The Digital Fever Compress Device can produce warm temperatures and adjust them according to the user's preferences with a minimum limit of 37.5°C and a maximum of 42°C with a timer for 20 minutes. Environmental temperature affects the temperature setting processing carried out by the microcontroller. Based on the tests conducted in an air-conditioned room, the average time from the initial temperature to the setpoint is 6 minutes and 15 seconds, and the temperature increase from the setpoint ranges from 45.6°C or 15.079%. Meanwhile, testing in a non-air-conditioned room, the average time from the initial temperature to the setpoint is 2 minutes and 26 seconds, and the temperature increase from the setpoint ranges from 44.64°C or 12.37%.

Review

This study presents the design and implementation of a digital warm compress device for fever management, addressing the limitations of manual warm compress application. The authors introduce an Arduino Uno-based system equipped with a DS18B20 temperature sensor, a cartridge heater, and an LCD for user interaction. The project's premise is highly relevant, as automated and precise temperature control for warm compresses could significantly improve patient comfort and caregiver efficiency. The ability to set a specific temperature range (37.5°C to 42°C) and a fixed timer of 20 minutes indicates a thoughtful approach to safety and efficacy, aligning with common practices for fever reduction. The paper clearly outlines the various components integrated into the device, including an LCD for display, relays for heater control, pushbuttons for input, and a step-down module, demonstrating a practical understanding of embedded system design. A significant strength lies in the initial testing conducted under varied environmental conditions (air-conditioned vs. non-air-conditioned rooms), which provides valuable insights into the device's performance in different settings. The reported average time to reach the setpoint (6 minutes 15 seconds in AC, 2 minutes 26 seconds in non-AC) offers a practical measure of the device's responsiveness, highlighting the impact of ambient temperature on heating dynamics. However, a critical area for improvement and further investigation emerges from the reported temperature increase *above* the setpoint, reaching 45.6°C (15.079% overshoot) in an air-conditioned room and 44.64°C (12.37% overshoot) in a non-air-conditioned room. Such significant overshoots are concerning for a medical device where precise temperature control is paramount for patient safety and efficacy. Temperatures exceeding 42°C, even momentarily, could pose a risk of discomfort or even minor burns, counteracting the intended therapeutic benefits. Future work should prioritize refining the control algorithm, potentially incorporating a more robust PID (Proportional-Integral-Derivative) controller, to minimize overshoot and achieve stable temperature regulation within the desired therapeutic window. Further validation with a larger sample size and more detailed analysis of temperature stability and accuracy over prolonged periods would also be essential for clinical applicability.

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