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All Journal International Journal of Advanced Health Science and Technology
Torib Hamzah
Department of Medical Electronics Engineering Technology, Poltekkes Kemenkes Surabaya
Electrical & Electronics Engineering Health Professions Nursing Public Health

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Lost Data and Transmition Speed Analysis on Incubator Analyzer Based IoT Technology I Kade Nova Paramartha; Torib Hamzah; Bedjo Utomo; Sari Luthfiyah; Emre ÖZDEMĐRCĐ
International Journal of Advanced Health Science and Technology Vol. 2 No. 1 (2022): February
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (848.982 KB) | DOI: 10.35882/ijahst.v2i1.7

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.
Implementation of a Microcontroller Arduino for Portable Peak Expiratory Flow Rate to Examine the Lung Health Nabilla Farikha Azzahra; Priyambada Cahya Nugraha; Torib Hamzah; Kamilu O. Lawal
International Journal of Advanced Health Science and Technology Vol. 2 No. 2 (2022): April
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijahst.v2i2.1

Abstract

A peak flow meter will measure the ability to push air out of the lungs; the lungs are one of the body's most vital organs. The commonly used method is to deploy a peak flow meter, which uses mechanical systems. This mechanical system is prone to a high error rate of reading, and as a result, a more accurate and reliable means becomes inevitable. This paper describes the design and implementation of a micro-controller-based portable peak flow meter, which can be used to provide accurate data for the diagnosis of asthma, bronchitis, and emphysema. In the heart of the system are the programmable Mega Arduino microcontroller and a device called MPX5100GP sensor, which has a pressure range of 0-100 Kpa to detect a patient breath. The device was equipped with a display facility, which uses Nextion touch TFT output to display related tests and examinations. There is also a provision to store the results data using SD Card, while a printer prints the test results for further diagnostic purposes. An experimental setup in the laboratory shows that the designed micro-controller-based PFM shows that the error rate was between 0.50 % and 4.21 % compared with the mechanical-based peak flow meter. The application of micro-controller-based peak flow meters also allows real-time and remote monitoring of peak flow parameters. The evolution of modern technology has made the possibility of developing a micro-controller based portable, peak flow meters, which can be used to measure the data involved in the diagnosis of lung-related diseases more accurately.
Co-Authors Emre ÖZDEMĐRCĐ I Kade Nova Paramartha Kamilu O. Lawal Luthfiyah, Sari Nabilla Farikha Azzahra Priyambada Cahya Nugraha Utomo, Bedjo