Design of Incu Analyzer for IoT-based Baby Incubator Calibration
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Incubator Analyzer is a calibration tool that measures baby incubators' temperature, mattress temperature,
humidity, airflow, and sound level. This research aims to design an "Incu Analyzer for IOT-based Baby Incubator
Calibration (Chamber Temperature)" tool with an LCD and Thingspeak integration. The design of this calibration tool
involves the baby incubator chamber temperature parameters, namely T1, T2, T3, T4, and T5, which are measured using the
DS18B20 sensor. The ESP32 microcontroller is employed to leverage the IoT system, and Wi-Fi is used for IoT
communication. The ESP32 processes data collected from the DS18B20 temperature sensor and displays it on the LCD and
Thingspeak. This tool is tested by comparing the incubator analyzer module with a standard measuring instrument, INCU II.
The temperature parameter yielded the smallest error value of -0.059293% at T5 with a setting temperature of 36°C and the
largest error value of -0.0254188% at T2 with a setting temperature of 35°C. In conclusion, after conducting a
comprehensive study of the literature and planning, it can be affirmed that the "Incu Analyzer Design for IOT-Based Baby
Incubator Calibration" tool functions as planned, demonstrating its efficacy as an IoT-based Incubator Analyzer. This
research has successfully developed an IoT system that utilizes Wi-Fi to transmit data and display reading results on
Thingspeak, which significantly facilitates users in monitoring the calibration process.
Copyright (c) 2023 Silvi Dwi Septiana, Syaifudin , Anita Miftahul Maghfiroh, and Phuoc-Hai Huynh
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