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All Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics
Dyah Titisari
Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Nine Channels Temperature Data Logger Design for Dry Sterilizer Calibration Syaifudin Syaifudin; Dyah Titisari; Tanuj Kumar
Jurnal Teknokes Vol 15 No 2 (2022): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v15i2.243

Abstract

In the process of sterilizing medical devices, a sterilizer that is able to produce an accurate and even temperature is needed. If the resulting temperature is not in accordance with the regulated temperature and is not evenly distributed, it will be fatal/damage to the material sterilized. Periodic calibration should be applied to the sterilizer to monitor its function. Based on the research that has been done, no one has done research on making a temperature data logger with 9 channels to calibrate the sterilizer. This study aims to design a temperature measuring device with 9 sensors that can measure simultaneously, so that the accuracy and the distribution of the temperature of a sterlisator can be obtained. This tool used a K thermocouple-type temperature sensor which will detect the temperature and further enters the analog signal conditioning circuit. This then enters the ATMegga 2560 which has been programmed and processed in such a way, leading to the display of the temperature on the 4x20 character LCD. Temperature measurement data will be further stored to SD Card every 10 seconds in the form of a txt file. Tests were carried out on sterilizers, continued by comparison with the Madgetech OctTemp2000 data logger. Based on the measurement and comparison data, the average error was obtained at a temperature of 50ºC with the smallest error value of 0.7% and the largest error value of 3.9%. At a temperature of 100ºC, the smallest error value is 1.6% and the largest error value is 10.5%. Furthermore, at a temperature of 120ºC, the smallest error value is 0.0% and the largest error value is 8.5%. The module resulting from this research is stable in response to temperature by looking at the very small uncertainty value. This research can be further used to help analyze the temperature distribution in a sterilizer. With these measurement results, this study is considered having a fairly high error value at several measurement points.
Design and Build a Ventilator Tester with a Peak Inspiratory Flow Waveform Display as Validation using the F1031V Sensor Rusdi Pratiwo Hadi; Her Gumiwang Ariswati; Dyah Titisari; Syaifudin Syaifudin; Sari Luthfiyah; Bedjo Utomo; Liliek Soetjiatie
Jurnal Teknokes Vol 15 No 4 (2022): December
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i4.472

Abstract

The ventilator is a supporter of respiratory needs which is very important for the patient so that there are several parameters that must be monitored specifically, such as the measurement of pressure and flow rate used in the ventilator system, the accuracy of which must be in accordance with the accuracy of the respirator. One of the important parameters to monitor is PIF (Peak Inspiratory Flow) which is the peak inspiratory flow rate given through the ventilator. PIF that is too high or too low can cause adverse effects on the patient. PIF monitoring can be seen through the PIF value and waveform on the PIF. Monitoring the waveform of the PIF will be very useful to improve the results of using the ventilator. The purpose of this research is to get the accuracy and precision of the sensor to display the waveform of the ventilator output. The procedure carried out is to use the F1031V sensor to detect the flow generated by the ventilator and then detect the PIF value and PIF waveform. From this research, the measurement of accuracy and precision of the F1031V sensor to detect PIF and generate a waveform graph is said to be good. This is because the highest error value is ±2.04% at the 20 LPM setting. While the value of the largest standard deviation at the 30 LPM setting is 1.517 and the greatest uncertainty value at the 30 LPM setting is 0.061. Then, the largest correction value is found in the setting of 20 LPM and 30 LPM, namely 0.4. PIF monitoring is carried out to maximize patient care and reduce the breakdown time on the ventilator.
Analysis of The Accuracy of Temperature Sensors at The Calibrator Incubator Laboratory are equipped with data storage base on Internet of Thing Candra Prastyadi; Bambang Guruh Irianto; Her Gumiwang Ariswati; Dyah Titisari; Steyve Nyatte; Shubhrojit Misra
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): November
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i3.241

Abstract

A laboratory incubator is a tool used to incubate or incubate a breed. Incubators provide optimum temperature conditions for microorganisms to grow. The incubator has a temperature regulator so that the temperature can be adjusted according to the breed to be incarnated. Incubators utilize hot-dry like ovens. The purpose of this study is to conduct testing and analyze the accuracy of thermocouple sensors with incubator media in laboratory incubator calibrator tools. The contribution of the research is to know the level of accuracy of the sustainable sensor for sensing the temperature in the lab incubator. The main Design consists of 8 MAX 6675 Standards, 8 Thermocouple type K, Arduino Mega, and SD Card Standards. The temperature not in the incubator device is measured by a Type K thermocouple sensor. Thermocouple sensor numbers 8 channels that measure the temperature at each incubator camber point. The temperature will be stored on the SD card to analyze the data and the data can be processed into the form of a graphic. Benchmarking is done using a data logger temperature tool. This is done to make the Design results are under the standards of the Standard. After comparing with the Standard get the largest error value is 3.98%, at channel T6 temperature 35 °C with ordinary incubator media and the smallest error in ordinary incubator media point T6 temperature 37 ° C which is 0.06 % and in fan incubator temperature 35 C has the largest error which is 2.98 % and the smallest error 0.86%. The conclusion of this study is that the design can work well in measuring the temperature of the incubator, as well as the system for storing readings using the SD card Design and sending data using the internet network can work well.
Eight Channel Temperature Monitoring using Thermocouple Sensors (type K) Based on Internet of Thing using ThinkSpeak Platform Candra Prastyadi; Bedjo utomo; Her Gumiwang Ariswati; Dyah Titisari; Sumber Sumber; A. Senthil Kumar
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v5i1.276

Abstract

A laboratory incubator is a device used to incubate a breed. a very important condition in the procedure Incubator is the optimal temperature conditions for microorganisms to grow. The incubator is equipped with a temperature controller so that the temperature can be adjusted according to the breed to be raised. Incubators use an oven like dry heat. The purpose of this study was to test and analyze the accuracy of the thermocouple sensor with incubator media in a laboratory incubator calibrator. The main design method uses the 8 MAX 6675 module, the 8 K type Thermocouple module, Arduino Mega, and SD Card data storage. Temperature measurements were measured with a Type K thermocouple sensor. The thermocouple sensor has 8 channels which function to measure the temperature at each camber point of the incubator. The temperature will be stored on the SD card for data analysis and the data can be processed in graphical form. Benchmarking is done using a temperature data logger. This is done so that the design results are below the standard comparison tool. The measurement results on the module compared to the comparison tool obtained the largest error value, namely 3.98%, namely on channel T6 at 35°C with ordinary incubator media and the smallest error on ordinary incubator media at point T6 at 37°C, which is 0.06 % and at 35 C the temperature of the incubator fan has the largest error of 2.98% and the smallest error of 0.86%. the module can perform well by testing the comparison tool at every point
Temperature Distribution Monitoring on Blood Bank Chamber Using Android Application on Mobile Phone Dianti Mayasari; Syaifuddin Syaifudin; Dyah Titisari; Triwiyanto Triwiyanto
Jurnal Teknokes Vol 16 No 1 (2023): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i1.506

Abstract

Blood cold chain is a mandatory requirement of blood donation procedures to protect blood from bacterial contamination and to extend the shelf life of blood. Blood bank as a storage medium for blood bags requires a temperature between 2℃-6℃ on average. However, in general, blood banks only have 1 cold temperature distribution point, which is feared that the spread of cold temperatures in the compartment will be different at each point. For this reason, the researcher intended to design a blood bank temperature distribution monitoring device consisting of 7 measurement points. In this case, temperature sensor readings at each point are displayed wirelessly to smartphone devices using the Blynk platform and are also on a 3.5-inch TFT screen. The measurement data were then stored on the SD card memory so that the level of temperature fluctuations in the blood bank compartment can be analyzed during use. The module was also equipped with an alarm warning on the module and the Blynk application if the temperature is out of the normal temperature range (2℃-6℃). Before being used for measuring temperature distribution, the device made was compared with the standard Fluke DPM4 tester, in which the highest error obtained was 2.08% at T1, 1.58% at T2, -2.73% at T3, 1,61% at T4, -1.07% at T5, -0.06% at T6, and -2.32% at T7. After being compared with standard equipment, the device was used to measure the temperature spread in the Kirsch brand blood bank and the average temperature obtained was 3.56℃ at T1, 3.58℃ at T2, 3.73℃ at T3, 3.57℃ at T4, 3.67℃ at T5, 3.63℃ at T6, and 3.72℃ at T7. Based on the analysis results, the blood bank monitoring device can be used to measure the temperature spread in the blood bank compartment at 7 measurement points. Furthermore, temperature readings can be monitored wirelessly and remotely. It is hoped that this research can further help laboratory personnel at the Blood Transfusion Unit to monitor and evaluate the level of temperature spread in the blood bank compartment and prevent early damage to blood components.
Design and Build a Ventalitor Tester With PIP and PIF Waveform Displays As Validation (PIP) Sandhi Dhanindra; Her Gumiwang Ariswati; Dyah Titisari; Mansour Asghari
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.473

Abstract

PIP (Peak Inspiratory Pressure) is the highest level of pressure exerted into the lungs by the ventilator during inhalation. This PIP parameter is important for monitoring because inappropriate PIP values ​​can lead to fatal errors in patients. PIP should be kept below 20 to 25 cm H2O each time ventilation. This PIP control can be a value as well as a waveform. This waveform display is also used to validate the ventilator output. Checking the output on this ventilator is used using a ventilator tester. The purpose of this research is to get the accuracy and precision of the sensor to display the waveform and PIP value of the ventilator output. The procedure of this research is to use MPX5010GP to detect the pressure value on the ventilator and then display the value and waveform of the PIP. From this study, the results of the measurement of accuracy and precision from the MPX5010 sensor to detect PIP and display a waveform graph are said to be good. This is because the highest error value is ±6.27% at the 15 CmH20 setting. While the value of the largest standard deviation at the 15 CmH20 setting is 0.837 and the greatest uncertainty value at the 15 CmH20 setting is 0.033. Then, the largest correction value is found in the 25 CmH20 setting, which is 1.56. PIF monitoring is carried out to maximize service to patients and maximize ventilator care.
Co-Authors ., Sumber A. Senthil Kumar Bambang Guruh Irianto Candra Prastyadi Dianti Mayasari Her Gumiwang Ariswati Liliek Soetjiatie Mansour Asghari Rusdi Pratiwo Hadi Sandhi Dhanindra Sari Luthfiyah Shubhrojit Misra Steyve Nyatte Syaifuddin Syaifudin Syaifudin Tanuj Kumar Utomo, Bedjo