Design of Incu Analyzer for IoT-Based Baby Incubator Calibration

  • Salsabilla Kusuma Maulani Department of Medical Electronic Technology, Poltekkes Kemenkes Surabaya
  • Syaifudin Syaifudin Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia
  • Anita Miftahul Maghfiroh Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia
  • Levana Forra Wakidi Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia
Keywords: Incubator Analyzer, Baby Incubator, ESP32, DHT22, Thermocouple Type-K


An incubator analyzer, serving as a calibration tool, is utilized to measure diverse parameters such as temperature, mattress temperature, humidity, airflow, and noise in infant incubators. The present study focuses on the development of the Design Incubator Analyzer for IoT (Mattress Temperature and Humidity) with LCD and ThingSpeak display, specifically designed for calibrating baby incubators. The primary objective is to design and develop an Incubator Analyzer as a calibration device for assessing various parameters in infant incubators, encompassing temperature, mattress temperature, humidity, airflow, and noise. The design of this calibration device incorporates a Thermocouple Type-K sensor for baby incubator mattress temperature parameters, a DHT22 sensor for humidity parameters, and an ESP32 microcontroller. The ESP32 processes data from the Thermocouple Type-K and DHT22 sensors to generate values for mattress temperature (TM) and humidity (RH), which are then displayed on LCD and ThingSpeak displays. The device underwent rigorous testing against an established measuring device, the INCU II. In the study, the TM parameter or mattress temperature exhibited the smallest error of -0.0140% at 35°C and the largest error of 0.0584% at 36°C. Concerning the humidity parameter, the largest error was 0.0570% at 32°C, while the smallest error was 0.0207% at 35°C. Overall, the Incubator Analyzer Design for IoT-Based Baby Incubator Calibration device, or IoT-based Incubator Analyzer, demonstrates potential usability following the planning and execution phases, including a thorough review of existing literature. To enhance user experience during the calibration process, an IoT system was developed for data transmission over Wi-Fi, presenting results on the ThingSpeak platform in real-time


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R. E. Kapti, Y. S. Arief, M. Triharini, Q. Saidah, N. Azizah, and L. Supriati, “Maternal Coping Strategies for Premature Infant: A Systematic Review,” Kesmas, vol. 17, no. 1, pp. 74–80, 2022, doi: 10.21109/kesmas.v17i2.6059.

J. E. Lawn et al., “Born Too Soon: Care for the preterm baby,” Reprod. Health, vol. 10, no. SUPPL. 1, pp. 1–19, 2013, doi: 10.1186/1742-4755-10-S1-S5.

G. Aregawi et al., “Preterm births and associated factors among mothers who gave birth in Axum and Adwa Town public hospitals, Northern Ethiopia, 2018,” BMC Res. Notes, vol. 12, no. 1, pp. 4–9, 2019, doi: 10.1186/s13104-019-4650-0.

A. Sekarwati, S. Syaifudin, T. Hamzah, and S. Misra, “Sensor Accuracy Analysis on Incubator Analyzer to Measure Noise and Airflow Parameters,” J. Electron. Electromed. Eng. Med. Informatics, vol. 4, no. 3, pp. 135–143, 2022, doi: 10.35882/jeeemi.v4i3.227.

H. B. D. L. Mathew, Ashish Gupta, “Controlling of Temperature and Humidity for an Infant Incubator Using Microcontroller,” Int. J. Adv. Res. Electr. Electron. Instrum. Eng., vol. 04, no. 06, pp. 4975–4982, 2015, doi: 10.15662/ijareeie.2015.0406012.

E. O. Ohuma et al., “National, regional, and global estimates of preterm birth in 2020, with trends from 2010: a systematic analysis,” Lancet, vol. 402, no. 10409, pp. 1261–1271, 2023, doi: 10.1016/S0140-6736(23)00878-4.

D. Morniroli et al., “Beyond survival: the lasting effects of premature birth,” Front. Pediatr., vol. 11, no. July, pp. 1–6, 2023, doi: 10.3389/fped.2023.1213243.

R. W. Newton, P. A. C. Webster, P. S. Binu, N. Maskrey, and A. B. Phillips, “Psychosocial stress in pregnancy and its relation to the onset of premature labour,” Br. Med. J., vol. 2, no. 6187, pp. 411–413, 1979, doi: 10.1136/bmj.2.6187.411.

R. Larcade and R. Ciannella, “Gestational age at birth and mortality from infancy into mid-adulthood: A national cohort study. Crump C, Sundquist J, Winkleby MA, Sundquist K.,” Arch. Argent. Pediatr., vol. 118, no. 1, pp. E85–E86, 2020, doi: 10.1016/S2352-4642(19)30108-7.GESTATIONAL.

N. M. Raharja, I. Suwarno, and Sugiyarta, “Current Trends in Incubator Control for Premature Infants with Artificial Intelligence Based on Fuzzy Logic Control: Systematic Literature Review,” J. Robot. Control, vol. 3, no. 6, pp. 863–877, 2022, doi: 10.18196/jrc.v3i6.13341.

L. Lamidi, A. Kholiq, and M. Ali, “A Low Cost Baby Incubator Design Equipped with Vital Sign Parameters,” Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 3, no. 2, pp. 53–58, 2021, doi: 10.35882/ijeeemi.v3i2.3.

Laily Nurrohmah, Dwi Herry Andayani, and Andjar Pudji, “Development of Incubator Analyzer Using Personal Computer Equiped With Measurement Certificate,” J. Electron. Electromed. Eng. Med. Informatics, vol. 2, no. 2, pp. 74–79, 2020, doi: 10.35882/jeeemi.v2i2.6.

N. Medhat, S. A. Samy, M. A. Wahed, and A. S. A. Mohamed, “Medical equipment quality assurance for healthcare facilities,” 2008 Cairo Int. Biomed. Eng. Conf. CIBEC 2008, no. January, 2008, doi: 10.1109/CIBEC.2008.4786101.

M. Subramanian, T. Sheela, K. Srividya, and D. Arulselvam, “Security and health monitoring system of the baby in incubator,” Int. J. Eng. Adv. Technol., vol. 8, no. 6, pp. 3582–3585, 2019, doi: 10.35940/ijeat.F9353.088619.

V. N. Azkiyak, S. Syaifudin, and D. Titisari, “Incubator Analyzer Using Bluetooth Android Display (Humidity & Air Flow),” Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 1, no. 2, pp. 71–77, 2020, doi: 10.35882/ijeeemi.v1i2.5.

E. Ozdemİrcİ, M. Özarslan Yatak, F. Duran, and M. R. Canal, “Reliability assessments of infant incubator and the analyzer,” Gazi Univ. J. Sci., vol. 27, no. 4, pp. 1169–1175, 2014.

A. W. Kale, A. H. Raghuvanshi, P. S. Narule, P. S. Gawatre, and S. B. Surwade, “Arduino Based Baby Incubator Using GSM Technology,” pp. 462–465, 2018.

F. Kristya Palupi, S. Luthfiyah, I. Dewa Gede Hari Wisana, M. Thaseen, K. Kementerian Kesehatan Surabaya Jl Pucang Jajar Timur No, and P. Kesehatan Kementerian Kesehatan Surabaya Jl Pucang Jajar Timur, “Journal homepage: 8 Baby Incubator Monitoring Center for Temperature and Humidity using WiFi Network,” J. Electron. Electromed. Med. Informatics, vol. 3, no. 1, pp. 8–13, 2021, [Online]. Available:

I. K. N. Paramartha, T. Hamzah, B. Utomo, S. Luthfiyah, and E. ÖZDEMĐRCĐ, “Lost Data and Transmition Speed Analysis on Incubator Analyzer Based IoT Technology,” Int. J. Adv. Heal. Sci. Technol., vol. 2, no. 1, pp. 39–46, 2022, doi: 10.35882/ijahst.v2i1.7.

R. A. Koestoer, I. Roihan, and A. D. Andrianto, “Product design, prototyping, and testing of twin incubator based on the concept of grashof incubator,” AIP Conf. Proc., vol. 2062, no. January, 2019, doi: 10.1063/1.5086560.

D. D. Vyas, “System for Remote Monitoring and Control of Baby Incubator and Warmer,” no. May 2016, 2017.

S. Pasha, “Thingspeak Based Sensing and Monitoring Systemfor IoT with Matlab Analysis,” Int. J. New Technol. Res., vol. 2, no. 6, pp. 19–23, 2016, [Online]. Available:

V. A. Athavale, A. Pati, A. K. M. B. Hossain, and S. Luthfiyah, “INCU Analyzer for Infant Incubator Based on Android Application Using Bluetooth Communication to Improve Calibration Monitoring,” J. Teknokes, vol. 15, no. 1, pp. 1–8, 2022, doi: 10.35882/teknokes.v15i1.1.

I. G. Made and N. Desnanjaya, “Integrated Room Monitoring and Air Conditioning Efficiency Optimization Using ESP-12E Based Sensors and PID Control Automation : A Comprehensive Approach,” no. November, 2023, doi: 10.18196/jrc.v4i6.18868.

H. Shaker, A. Saleh, A. H. Ali, and M. Abd Elaziz, “Self-Calibrating Enabled Low Cost, Two Channel Type K Thermocouple Interface for Microcontrollers,” Arab J. Nucl. Sci. Appl., vol. 0, no. 0, pp. 1–9, 2018, doi: 10.21608/ajnsa.2018.12391.

M. S. A. Nampira, A. Kholiq, and Lamidi, “A Modification of Infant Warmer with Monitoring of Oxygen Saturation, Heart Rate and Skin Temperature,” J. Electron. Electromed. Eng. Med. Informatics, vol. 3, no. 1, pp. 19–25, 2021, doi: 10.35882/jeeemi.v3i1.4.

D. Nettikadan and S. Raj, “Smart Community Monitoring System using Thingspeak IoT Plaform,” Int. J. Appl. Eng. Res., vol. 13, no. October, pp. 13402–13408, 2018, [Online]. Available:

How to Cite
S. Maulani, S. Syaifudin, A. M. Maghfiroh, and L. F. Wakidi, “Design of Incu Analyzer for IoT-Based Baby Incubator Calibration”, Teknokes, vol. 17, no. 1, pp. 20–28, Mar. 2024.
Biomedical Engineering