Priyambada Cahya Nugraha
Department of Electromedical Engineering Poltekkes Kemenkes, Surabaya

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Temperature Calibrator with Thermocouple Based Microcontroller Aninda Zakia Febriyanti; Priyambada Cahya Nugraha; Syaifudin Syaifudin
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 1 (2020): February
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

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Abstract

Calibration is very important to know the temperature uniformity inside the tool. One of them is at the temperature sterilizer, dry heating sterilizer which is sterilizing the device using a high heat oven. The purpose of this study is to develop a temperature Calibrator tool as a refinement of previously made tools by measuring temperatures more than one point in order to achieve a calibration process that complies with the standard. The working method of a temperature calibration device is that the sensor will detect the temperature which then enters the IC ATMEGA 328 that has been given the program and processed in such a way that the output will be displayed on the LCD 4x20 character in the form of temperature measurement of the device. Based on the results of comparative data between the module and the comparison tool "8 Channel Thermocouple Temperature Recorder" from the BPFK Surabaya, it has the largest difference of 40C and the percentage error (1,6%) and the smallest difference of 10C and the percentage error (0,16%).
Snellen Chart Based On Android Control Annisa Novantina Eka Fitria; Priyambada Cahya Nugraha; Lamidi Lamidi
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 1 (2019): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (729.332 KB) | DOI: 10.35882/ijeeemi.v1i1.5

Abstract

Eye vision is a person's visual acuity examination that is usually done using a snellen chart. Snellen chart is a poster that contains a number of letters that are different on each line with the letters getting closer to the bottom lines. Eye vision examination using a normal snellen chart is done at a distance of 6 meters because someone is considered normal if he is able to read on the 20/20 line in feet or 6/6 in meters. Snellen chart control android is an electronic snellen chart that controls the light transfer using Android. Commands originating from the mitapp application on android are sent to the bluetooth HC-05 module in the minsys Atmega16 circuit. Atmega 16 was chosen because it has a sufficient number of pins to control the displacement of the lights used by 23 lights. The appearance of the mitapp application has been adjusted to the letters contained in the snellen chart, making it easier for operator to correct the results of the readings that have been performed by the eye vision patient.
Bed For Measuring Ebv and CO With TFT Display Equipped With Data Storage (SpO2 and BPM) Ahmad Zaky Ma'arif; Priyambada Cahya Nugraha; Andjar Pudji
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 1 (2020): February
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/jeeemi.v2i1.2

Abstract

Abstract— BED for measuring EBV and CO are the tools used to monitor the condition of preoperative patients. The Estimation Blood Volume (EBV) is a calculation to determine the approximate volume of blood in the human body and CO is the amount of blood volume pumped by the heart per minute the calculation of EBV used uses weight, height and gender. CO calculations utilize BPM multiplied by standard Stroke Volume. In this section the author discusses oxygen saturation in the blood using different wavelengths of red LED light and infrared captured by the photodiode. The author also discusses BPM to monitor minute heart rates. The design of this measuring instrument uses MAX30100 sensor, Arduino Mega , Arduino Nano and TFT LCD. Data from the MAX30100 sensor enters the Arduino minimum system, then is processed to produce a percentage of SpO2 values ​​which are then displayed on the TFT LCD. In the module, the data displayed can be stored and displayed again so that patient data can be traced. Testing is done by comparing the module with a standard measuring instrument that produces the biggest error of 2.80% on BPM and 0.95% on SpO2.