Lost Data and Transmition Speed Analysis on Incubator Analyzer Based IoT Technology

Authors

  • I Kade Nova Paramartha Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia
  • Torib Hamzah Department Of Electromedical Engineering Poltekkes Kemenkes Surabaya, Surabaya, Indonesia https://orcid.org/0000-0003-3989-8287
  • Bedjo Utomo Departement Of Electromedical Engineering Poltekkes Kemenkes Surabaya, Surabaya, Indonesia https://orcid.org/0000-0002-7295-7923
  • Sari Luthfiyah Departement Of Electromedical Engineering Poltekkes Kemenkes Surabaya, Surabaya, Indonesia https://orcid.org/0000-0001-9677-7209
  • Emre ÖZDEMĐRCĐ Çankırı Karatekin University, Technical and Business College, 18200, Çankırı, TURKEY

DOI:

https://doi.org/10.35882/ijahst.v2i1.7

Keywords:

Internet of Things (IoT), Lost Data, Delivery Speed, Incu Analyzer

Abstract

The importance of the readiness of the baby incubator for critical infant patients who are treated intensively encourages health technicians to carry out regular maintenance and calibration to overcome the problem of equipment malfunctions. Critical infant patients are babies who are treated in the NICU (Neonatal Intensive Care Unit) due to premature birth or babies using incubators are diagnosed with abnormalities or diseases, this situation makes babies need tools for survival, especially in the first month. Calibrating temperature control is very necessary for the incubator. In addition to temperature, it is necessary to control humidity so that the baby's respiratory system is in optimal condition. In addition, it is also equipped with a noise sensor to ensure that the noise in the baby incubator room is appropriate. From the above problems, a tool for temperature testing was made using a DHT22 sensor with five measurement points, humidity with a level of 30% RH - 60% RH and noise with a range of 30dB-60db to ensure the tool functions properly equipped with a lost data testing system and delivery speed. using internet access with thingspeak display. This research resulted in the design of a calibration tool with three parameters, namely the temperature setting at 33ºC the smallest error percentage is 0% and the largest error is 0.96%, and at the temperature setting 35ºC the smallest error percentage is 0.28% and the largest error is 4 .1%, humidity with an error percentage of 0.82% and noise with an error percentage of 0.93%. The drawback in using the Thingspeak application is that there is a limit on the channel ID, which can only display 8 readings, while the minimum time lag is 20 seconds. For the MAX4466 noise sensor, there are shortcomings, namely the accuracy in readings is not good.

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References

C. Pislaru, V. Șontea, and S. Railean, “Assessing the Safety of Using Incubators for Newborns BT - 4th International Conference on Nanotechnologies and Biomedical Engineering,” 2020, pp. 645–648.

Ozdemİrcİ Emre, Ö. Y. Meral, D. Fecir, and C. M. Rahmi, “Reliability assessments of infant incubator and the analyzer,” Gazi Univ. J. Sci., vol. 27, no. 4, pp. 1169–1175, 2014.

A. A. Charisa, B. Utomo, and S. Syaifudin, “Visual Programming Based Portable Analyzer Incubator Equipped with Storage to Sd Card,” J. Teknokes, vol. 12, no. 2, pp. 29–35, 2019, doi: 10.35882/teknokes.v12i2.5.

H. N. A. Samputri, S. Syaifudin, and D. Titisari, “Incubator Analyzer Using Android App,” J. Teknokes, vol. 12, no. 1, pp. 14–20, 2019, doi: 10.35882/teknokes.v12i1.3.

A. Mohammed Ali, Michel Beusenberg, Monika Bloessner, Cynthia Boschi Pinto, Sylvie Briand, Anthony Burton, “World HealtH StatiSticS,” World Heal. Stat., pp. 5–6, 2009.

A. Tavakoli Golpaygani, M. M. Movahedi, and H. Hafezi, “Medical Devices Safety Enhancement and Performance Improvement Through a Periodic Calibration Program BT - World Congress on Medical Physics and Biomedical Engineering 2018,” 2019, pp. 51–54.

V. Sarancha, V. Sulyma, N. Pros, and K. Vitale, “Approaches to the international standards application in healthcare and public health in different countries,” South East. Eur. J. Public Heal., no. SE-Review Articles, Jun. 2017, doi: 10.4119/seejph-1859.

E. H. Yayan, “A Key Point in Medical Measurements : Device Calibration and Knowledge Level of Healthcare Professionals,” vol. 13, no. 2, pp. 1346–1354, 2020.

J. Prinyakupt and K. Roongprasert, “Verification Device for Temperature and Relative Humidity Inside the Infant Incubator via IoT,” BMEiCON 2019 - 12th Biomed. Eng. Int. Conf., pp. 1–6, 2019, doi: 10.1109/BMEiCON47515.2019.8990351.

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. Putri, R. Abidin, and B. Utomo, “Delphi-Based Portable Incubator Analyzer Equipped with SD Card ( Noise and Humidity Parameters ),” vol. 1, no. 1, pp. 1–5, 2019, doi: 10.1234/jeeemi.v1i1.9xx.

S. T. Akhir, “MODIFICATION OF INFANT INCUBATOR EQUIPPED INCUBATOR TEMPERATURE CONTROL AND BODY TEMPERATURE MONITORING,” pp. 1–10, 2014.

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.

S. T. Imro’ah Dyah Sulistya, Syaifudin, “Portable Incubator Analyzer Equipped with Data Transfer Via Bluetooth Android Appears,” 2018.

A. Sachenko, O. Osolinskyi, P. Bykovyy, M. Dobrowolski, and V. Kochan, “Development of the Flexible Traffic Control System Using the LabView and ThingSpeak,” Proc. - 2020 IEEE 11th Int. Conf. Dependable Syst. Serv. Technol. DESSERT 2020, pp. 326–330, 2020, doi: 10.1109/DESSERT50317.2020.9125036.

R. A. Wijaya, S. W. L. W. Lestari, and M. Mardiono, “Design and Build a Temperature and Humidity Monitoring Device for a Baby Incubator Based on the Internet of Things,” J. Teknol., vol. 6, no. 1, p. 52, 2019, doi: 10.31479/jtek.v6i1.5.

S. W. D. Lestari, P. C. Nugraha, and D. Titisari, “Testing Optimal Speed And Distance In Sending Signals And Heart Rate Via Bluetooth,” Pros. Semin. Nas. Kesehat. Poltekkes Kemenkes Surabaya 2020, vol. 2, no. 1, pp. 1–14, 2020.

H. Yuliansyah, “Wireless Data Delivery Performance Test Using the ESP8266 Module Based on Rest Architecture,” J. Rekayasa dan Teknol. Elektro, vol. 10, no. 2 (Mei 2016), pp. 68–77, 2016.

F. Khair, “Internet Of Things, History, Technology And Its Application.,” J. Ilm. Teknol. Inf., vol. IV, no. 3, pp. 62–66, 2015.

A. I. Abdul-Rahman and C. A. Graves, “Internet of things application using tethered MSP430 to thingspeak cloud,” Proc. - 2016 IEEE Symp. Serv. Syst. Eng. SOSE 2016, pp. 352–357, 2016, doi: 10.1109/SOSE.2016.42.

Y. A. Ahmad, T. Surya Gunawan, H. Mansor, B. A. Hamida, A. Fikri Hishamudin, and F. Arifin, “On the Evaluation of DHT22 Temperature Sensor for IoT Application,” pp. 131–134, 2021, doi: 10.1109/iccce50029.2021.9467147.

M. Kolhe, R. Paturkar, U. Sahu, S. Pillai, and A. Titarmare, “Analytic for Temperature and Humidity-Cloud based Forecasting and Dashboard,” Proc. Int. Conf. Intell. Comput. Control Syst. ICICCS 2020, no. Iciccs, pp. 674–679, 2020, doi: 10.1109/ICICCS48265.2020.9120944.

P. MacHeso, S. Chisale, C. Daka, N. Dzupire, J. Mlatho, and D. Mukanyirigira, “Design of Standalone Asynchronous ESP32 Web-Server for Temperature and Humidity Monitoring,” 2021 7th Int. Conf. Adv. Comput. Commun. Syst. ICACCS 2021, pp. 635–638, 2021, doi: 10.1109/ICACCS51430.2021.9441845.

N. A. Zakaria, F. N. B. Mohd Saleh, and M. A. A. Razak, “IoT (Internet of Things) based infant body temperature monitoring,” 2nd Int. Conf. BioSignal Anal. Process. Syst. ICBAPS 2018, pp. 148–153, 2018, doi: 10.1109/ICBAPS.2018.8527408.

Y. Setiawan, H. Tanudjaja, and S. Octaviani, “Use of Internet of Things (IoT) for Hydroponic System Monitoring and Control,” TESLA J. Tek. Elektro, vol. 20, no. 2, p. 175, 2019, doi: 10.24912/tesla.v20i2.2994.

N. Fotiou, V. A. Siris, A. Mertzianis, and G. C. Polyzos, “Smart IoT Data Collection,” 19th IEEE Int. Symp. a World Wireless, Mob. Multimed. Networks, WoWMoM 2018, pp. 588–599, 2018, doi: 10.1109/WoWMoM.2018.8449766.

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Published

2022-01-17

How to Cite

[1]
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”, International Journal of Advanced Health Science and Technology, vol. 2, no. 1, pp. 39–46, Jan. 2022.

Issue

Section

Medical Engineering and Technology