August 11, 2025Jurnal TeknokesOpen Access

Design of Incu Analyzer for IoT-based Baby Incubator Calibration

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The incubator analyzer shows a highest accuracy rate with an error value of -0.0254188% at 35°C.
The DS18B20 sensor accurately measures critical temperature parameters, which are processed by the ESP32 microcontroller.
An IoT system using Wi-Fi enhances data transmission and display capabilities with Thingspeak integration.
The calibration tool demonstrates reliable performance compared to the standard measuring instrument INCU II.

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This research develops an IoT-based system for monitoring baby incubators, highlighting its effectiveness in calibration and temperature measurement.

Septiana et al. (2025) studied this question.

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This research develops an IoT-based system for monitoring baby incubators, highlighting its effectiveness in calibration and temperature measurement.