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All Journal International Journal of Advanced Health Science and Technology Frontiers in Community Service and Empowerment Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Wakidi, Levana Forra
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Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Health Professions Materials Science & Nanotechnology Nursing Public Health Other

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Journal : Jurnal Teknokes

 1 
Analysis of Inspiratory Minute Volume (mVi) and Expiratory Minute Volume (mVe) Parameter Measurement using Flow Analyzer Design with Volume Control Ventilation (VCV) Mode on Ventilator Wakidi, Levana Forra; Farid Amrinsani
Jurnal Teknokes Vol. 18 No. 1 (2025): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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The Flow Analyzer Ventilator functions as a breathing aid by controlling the volume of air provided to the patient. In VCV mode, the ventilator regulates a fixed volume of inspiration for each patient's breath. To ensure that the ventilator functions according to its specifications, accurate measurements of the Inspiratory Minute Volume (mVi) and Expiratory Minute Volume (mVe) parameters are required. Flow analyzers play an important role in this research as a tool to measure and verify the output produced by ventilators. This research focuses on the manufacture of a flow analyzer to measure and evaluate two important parameters, namely mVi and mVe, on ventilators operating in VCV mode. Data collection was carried out using VCV mode and was carried out 5 times with tidal volume settings of 200mL, 300mL, 400Ml, 500mL, and 600ml as well as with an I:E ratio of 1:2 and a PEEP pressure of 5cmH2O. Based on the available data, the Minute Volume Expiratory (MVE) parameter showed the highest error in the 300 mL tidal volume setting with a value of -14.7%. After the module was adjusted, the 600 mL tidal volume setting had an average error of 0.69 with a standard deviation of 1.351, while the 200 mL setting recorded the lowest average error of -0.12. Adjustments to the module and manual calculations resulted in more accurate information, suggesting that lower tidal volume settings, such as 200 mL, may improve measurement accuracy on the ventilator. Overall, this study indicates that while higher volume settings can increase data variation, lower settings can provide more consistent and accurate measurement results.The use of the AFM 3000 sensor on the Flow Analyzer is proven to be used in measuring airflow on ventilators.
Measuring Instruments for Oxygen Concentration, Flow, Temperature, and Humidity in CPAP Equipped with Microcontroller Based External Data Storage Wafa, Muhammad Ali; Assalim Tetra Putra, Moch. Prastawa; Wakidi, Levana Forra; Misra, Shubhrojit
Jurnal Teknokes Vol. 16 No. 3 (2023): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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The recommended approach for addressing sleep apnea in infants involves the utilization of CPAP therapy. A pivotal component of CPAP therapy is the inclusion of a humidifier, which serves to counteract potential hazards by introducing humidified air. The purpose of this study was centered on developing a compact, portable model to assess temperature and humidity parameters in CPAP humidifiers. The method utilized was the pre-experimental One Group Post Test Design. The contribution of this research lies in its ability to measure temperature and humidity in the CPAP humidifier using the SHT30 sensor. The sensor readings were processed using the Arduino Mega 2560 Pro Mini microcontroller. The measurement data was presented on a 20x4 LCD screen and had the capability to be stored using an SD Card, alongside the inclusion of a buzzer indicator on the tool. The results demonstrated that the highest error value for the temperature parameter was 1.8%, while the lowest was 0.49%. The expected conclusion is that these findings can be implemented effectively to assist operators in recording, measuring, and monitoring temperature and humidity in CPAP humidifiers and to facilitate monitoring of sleep apnea treatment procedures.
aby Incubator Calibration", Jurnal Teknokes, vol. 17, no. 1, pp. 20–28, March. 2024. Design of Incu Analyzer for IoT-Based Baby Incubator Calibration Maulani, Salsabilla Kusuma; Syaifudin, Syaifudin; Maghfiroh, Anita Miftahul; Wakidi, Levana Forra
Jurnal Teknokes Vol. 17 No. 1 (2024): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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An incubator analyzer, serving as a calibration tool, is utilized to measure diverse parameters such as temperature, mattress temperature, humidity, airflow, and noise in infant incubators. The present study focuses on the development of the Design Incubator Analyzer for IoT (Mattress Temperature and Humidity) with LCD and ThingSpeak display, specifically designed for calibrating baby incubators. The primary objective is to design and develop an Incubator Analyzer as a calibration device for assessing various parameters in infant incubators, encompassing temperature, mattress temperature, humidity, airflow, and noise. The design of this calibration device incorporates a Thermocouple Type-K sensor for baby incubator mattress temperature parameters, a DHT22 sensor for humidity parameters, and an ESP32 microcontroller. The ESP32 processes data from the Thermocouple Type-K and DHT22 sensors to generate values for mattress temperature (TM) and humidity (RH), which are then displayed on LCD and ThingSpeak displays. The device underwent rigorous testing against an established measuring device, the INCU II. In the study, the TM parameter or mattress temperature exhibited the smallest error of -0.0140% at 35°C and the largest error of 0.0584% at 36°C. Concerning the humidity parameter, the largest error was 0.0570% at 32°C, while the smallest error was 0.0207% at 35°C. Overall, the Incubator Analyzer Design for IoT-Based Baby Incubator Calibration device, or IoT-based Incubator Analyzer, demonstrates potential usability following the planning and execution phases, including a thorough review of existing literature. To enhance user experience during the calibration process, an IoT system was developed for data transmission over Wi-Fi, presenting results on the ThingSpeak platform in real-time.
Comparison of Pressure Sensor in Flow Analyzer Design for Peep Measurement on Ventilators Wakidi, Levana Forra; Amrinsani, Farid; Zeha, Alfi Nur; Dewiningrum, Riqqah; Nyatte, Steyve
Jurnal Teknokes Vol. 16 No. 4 (2023): December
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

Flow Analyzer allows measurement of flow, pressure, volume, and oxygen concentration delivered to the patient, with PEEP (Positive End Expiratory Pressure) being a crucial parameter in mechanical ventilation. Incorrect PEEP values can elevate the risk of patient mortality. The recommended PEEP range is 5-24 cmH2O, and administration is determined by the patient's clinical condition. This research aims to identify stable and highly accurate pressure sensors by comparing the MPX2010DP and MPX5010DP sensors with pressure readings from a Digital Pressure Meter (DPM). The study involves 5 repetitions of a lung test, each with 11 pressure reading points, within a pressure measurement range of 0-30 cmH2O. The DPM has a resolution of 1 cmH2O, while both pressure sensors have a resolution of 0.01 cmH2O. Results indicated that the MPX2010DP sensor has the smallest error percentage, specifically 0.00%, at a pressure increase of 5 cmH2O and 20 cmH2O. Conversely, the MPX2010DP sensor shows the largest error percentage, 5.16%, when the pressure decreases by 5 cmH2O. The highest standard deviation of 0.52 is observed in the MPX5010DP sensor at a 20 cmH2O pressure increase, while the maximum correction value of 0.54 is found in the MPX5010DP sensor at a 25 cmH2O pressure increase. According to the ANOVA test, there is no significant difference in pressure produced between the MPX2010DP sensor, MPX5010DP sensor, and DPM. The sensors are well-calibrated and provide accurate readings according to calibration tool standards. Therefore, the MPX2010DP and MPX5010DP sensors are deemed accurate for measuring PEEP parameters in ventilators. Based on the obtained data, it can be concluded that the MPX2010DP sensor is more accurate and stable.
Co-Authors Aamir, Hafsa Adam, Madeha Ishag Amrinsani, Farid Anita Miftahul Maghfiroh Assalim Tetra Putra, Moch. Prastawa Bambang Guruh Irianto Dewiningrum, Riqqah Endarta, Ade Ryan Endro Yulianto Farid Amrinsani KHOLIQ, ABD. Maghfiroh, Anita Mifthahul Maulani, Salsabilla Kusuma Misra, Shubhrojit Nyatte, Steyve P, Chandrasekaran Pambudi, Andri Lazuardi Wahyu Prasetyo, Eko Dedi Sadiq, Muhammad Tariq Setiawan, Singgih Yudha Suryanta, Made Dwi Pandya Syaifudin Syaifudin, Syaifudin Wafa, Muhammad Ali Wahyu Caesarendra Wulandari, Dessy Tri Yudha Setiawan, Singgih Zeha, Alfi Nur