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All Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal TEKNOKES
Singgih Yudha Setiawan
Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Infant Warmer with Digital Scales for Auto Adjustment PID Control Parameters Anita Miftahul Maghfiroh; Farid Amrinsani; Singgih Yudha Setiawan; Rafi Maulana Firmansyah; Shubhrojit Misra
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.v15i2.246

Abstract

Babies need temperatures that match the temperature of the mother's womb, which is between 35°C – 37°C. The latest research on infant warmer device used fuzzy method as a system for controlling temperature in infant warmers. The problem raised in the previous research is that the temperature was not evenly distributed throughout the bed at each predetermined temperature setting. When it reached the setting temperature, the warmer continued to turn on so that the bed got hotter. Therefore, the purpose of the current research is to make an infant warmer device equipped with digital scales with a temperature setting of 350C- 370C using PID control to stabilize the temperature and ensure that the heat is evenly distributed on the bed. In addition, skin temperature is also added, allowing the nurses know at which level of patient's body temperature is when observations should be made. The infant warmer in this module used an arduino microcontroller which is displayed in 7 segments, the skin sensor used is the DS18B20 temperature sensor to read the skin temperature, while the infant warmer temperature sensor used is LM35 as a PID control system. The results of the current research in making the device module were compared with the measurement results of the comparator. It was revealed that current research has obtained smallest error of 0% in temperature setting of 350C. For the comparison with the incu analyzer, the smallest error was obtained at the temperature setting of 370C with an error value of 0% on the T5 measurement. Meanwhile, the difference in skin temperature against the thermometer is 0.10C. The results showed that the temperature distributed on the module had different error values. Hence, this research can be implemented on the PID control of infant warmer system to improve the performance of infant temperature stability.
Analysis of Temperature Stability and Accuracy on the Design of Thermometer Calibrator Based on Fuzzy Logic And On/Off Control Yunik Pujiastuti; Andjar Pudji; Singgih Yudha Setiawan; Farid Amrinsani; Khongdet Phasinam
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 3 (2022): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i3.244

Abstract

A thermometer is a medical device used to measure body temperature. To maintain the accuracy of the thermometer measurement results, periodic calibration is required. Calibration is an activity to determine the conventional correctness of the indicator values of measuring instruments and measuring materials by comparing them with measurement standards that can be traced to national and international standards for units of measure and/or international and certified reference materials. Based on the results of the identification of chronological problems that have been observed, a body thermometer that measures body temperature is needed so and a calibrator is needed to maintain the accuracy of the thermometer. The purpose of this study was to analyze the Temperature Stability and Accuracy of the Body Thermometer Calibrator Based on on-Off Control and Fuzzy Logic Control. The contribution of this research to this tool will use the development of a fuzzy logic control method to produce temperature stability in the Body Thermometer Calibrator (Digital). The method used in this study used fuzzy control and on-off control. The results of this study from the suitability test obtained a maximum error of 0.2% in the fuzzy control and 0.6% in the On-Off control. The average rise time difference for the two controls was 13.53 Seconds. The average settling time difference is 130.46 seconds. The results of this study can be concluded that the Fuzzy System is better than the On / Off system so the Fuzzy system is more suitable for thermometer calibration media.
Comparative Analysis of PID and Fuzzy Temperature Control System on Infant Warmer Abdul Majid; Endang Dian Setioningsih; Abd Kholiq; Singgih Yudha Setiawan; Anilkumar Suthar
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i4.257

Abstract

Infant Warmer is a life support equipment that is used to provide heat relief for normal and premature babies who are unable to maintain their own body temperature when in a new environment. The purpose of this research is to design an infant warmer using the DS18B20 sensor to analyze the efficiency and effectiveness between PID and fuzzy temperature control. This study used temperature settings of 34 °C, 35 °C, and 36 °C. The tool used for reference from standard measurements uses a standard infant warmer. When using the PID control used in the microcontroller detects the set temperature difference value with the actual temperature, the difference in value will be input to the PID control. The error value becomes PWM input on the PID control, the PID control will process the error value and determine the output value for the heater, the temperature sensor will read the actual temperature value which will be compared again with the temperature setting, the PID control will continue to process the error value and determine the PWM output value. until the actual temperature is equal to the setting temperature or the error value is zero
Nine Channel Data Logger to Measure Temperature Distribution on Dry Stelizer based on Andoid system Anita Miftahul Maghfiroh; Singgih Yudha Setiawan; Bayu Trisono Aji Pambudi; Steyve Nyatte
Jurnal Teknokes Vol 15 No 3 (2022): September
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i3.306

Abstract

A temperature measurement in sterilization is needed to find out whether the temperature setting has been reached, because if the tool is operated continuously it will have an impact on the performance of the tool. Data logger is a tool used to record time and temperature by recording. The purpose of this research is to develop technological advances with remote or automated systems that can monitor changes in temperature rise and fall. This study uses 9 types of K-type thermocouple sensors as temperature gauges which are placed at 9 specified points. A thermocouple is connected to the MAX6675 module for conversion which initially detects temperature into digital form data. Data processing uses the Arduino Mega 2560 system and the Arduino programming software processor. HC-05 is used as a data transmission of measured results that have been read where the results are displayed on Android using the Blynk application, the data sent will be in the form of Excel. This tool uses a temperature comparison from the MEMMERT UN 55 incubator in the microbiology laboratory. The error value contained in the 100°C temperature adjustment is 2.6% at a temperature of 1, the smallest error at temperatures 7 and 8 is 0.2% due to the location of the sensor far from the heater. The error value at a temperature of 150°C is 1.7%, the smallest error at temperature 5 is 0.3%, 0.5%. The error value at a temperature of 200°C is 1.8%, the smallest error at temperature 0.5%. This research is expected to make it easier for users to simultaneously monitor temperature and simplify data processing to obtain an accuracy error value in the unit under test (UUT).
Co-Authors Abd Kholiq Abdul Majid Andjar Pudji Anilkumar Suthar Anita Miftahul Maghfiroh Anita Miftahul Maghfiroh Bayu Trisono Aji Pambudi Farid Amrinsani Farid Amrinsani Khongdet Phasinam Rafi Maulana Firmansyah Setioningsih, Endang Dian Shubhrojit Misra Steyve Nyatte Yunik Pujiastuti