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

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.

Design of Incu Analyzer for IoT-Based Baby Incubator Calibration

“…By employing this technique, it was discovered that the tool's design was suitable, as real-time graphics could be used to present measurement data on Thing Speak and the Thing View mobile app, and the accuracy on each sensor had a high level of accuracy, the accuracy value of humidity reached 99.434% at the setting temperature of 36 ° C and the accuracy value of the noise level reached 99.675% on the first measurement. Using this method, there are drawbacks, namely the tool designed is not made portable using rechargeable batteries and the manufacture of temperature sensor holders is not good [19]. Subsequent research conducted research using computerbased monitoring methods for PC and Android applications.…”

Advancement and Maintenance of Infant Incubator in Medokan Ayu Health Centre Surabaya for Effort to Kepp Continuity of Serive

“…noise is 0.17% at 37°C. temperature setting [22] [23]. However, because of the power of electromedical until now is still limited.…”

Sensor Accuracy Analysis on Incubator Analyzer to Measure Noise and Airflow Parameters

“…However, there are still some shortcomings, in which the parameters of the tool and the results of the research were not explained in detail [20] [21]. Research on the incubator analyzer has also been carried out by other researchers with varying error results, but the airflow measurement error is still high with the results on the airflow sensor module having the highest error at 36 0 C and 37 0 C which is equal to 0.5%, and the highest error of the noise sensor module is 0.17% at 37°C of the setting temperature [22] [23]. Research on incubator analyzer using Bluetooth with Android further was also done focusing on the parameters of humidity and air flow.…”