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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Majalah Forum Teknik UGM Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Ilmiah Tatengkorang Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics Indonesian Journal of Electrical Engineering and Computer Science 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
Endro Yulianto
Jurusan Teknik Elektromedik, Poltekkes Kemenkes Surabaya
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Nursing Public Health Other

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Assistance of Health Personnel in The Implementation of Calibration Results in Public Hospitals Dr. Iskak Tulungagung: Assistance of Health Personnel in The Implementation of Calibration Results in Public Hospitals Dr. Iskak Tulungagung Maghfiroh, Anita Miftahul; Yulianto, Endro; Syaifudin
Frontiers in Community Service and Empowerment Vol. 2 No. 3 (2023): September
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v2i3.46

Abstract

Optimal quality of health services depends on the accuracy of medical devices. In an effort to improve quality standards, Dr. General Hospital Iskak Tulungagung implements a program to assist health workers in understanding and applying the results of medical device calibration. This research aims to increase health workers' knowledge about calibration, strengthen patient confidence, and improve the accuracy of diagnosis and treatment. This research contributes to improving the competency of health workers and increasing patient satisfaction through assistance in implementing calibration results. This contribution is important in building public trust in health services. The mentoring program involves regular counseling, practical workshops, skills training, as well as individual mentoring by a team of calibration experts. A feedback system is also implemented for continuous evaluation and improvement. This research shows a significant increase in health workers' understanding of medical device calibration. Patients report higher levels of satisfaction with services provided by healthcare professionals who use calibrated devices. This mentoring program was successful in increasing health workers' understanding of calibration, building patient trust, and increasing the accuracy of diagnosis and treatment. This success indicates the importance of assistance in the context of implementing calibration results in hospitals. The results of this research have positive implications for improving health service quality standards. These implications extend to the health education sector and clinical practice, strengthening evidence-based practice and increasing public trust in the health system. Thus, the mentoring program becomes a viable model for improving the quality of health services in hospitals and other health institutions
Effect of Muscle Fatigue on Heart Signal on Physical Activity with Electromyogram and Electrocardiogram Monitoring Signals Fauzi, Muhammad; Yulianto, Endro; Irianto, Bambang Guruh; Luthfiyah, Sari; Triwiyanto, Triwiyanto; Shankhwar, Vishwajeet; Elbaghazaoui, Bahaa Eddine
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 3 (2022): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i3.149

Abstract

Physical activity is an activity of body movement by utilizing skeletal muscles that are carried out daily. One form of physical activity is exercise which aims to improve health and fitness. Parameters related to health and wellness are heart and muscle activity. Strong and prolonged muscle contractions result in muscle fatigue. The authors used electromyographic (EMG) signals to measure muscle fatigue by monitoring changes in electrical muscle activity. This study aims to analyze the effect of muscle fatigue on cardiac signals during subjects perform physical activity. This research method uses Fast Fourier Transform (FFT) with one group pre-test-post-test research design. The independent variable is the EMG signal when doing plank activities, while the dependent variable is the result of monitoring the EMG signal. The authors use MPF, MDF, and MNF to get more detailed measurement results and perform a T-test. The test results showed a significant value (p-value <0.05) in the pre-test and post-test. The Pearson correlation test got a value of 0.628, indicating a strong relationship between exercise frequency and plank duration. When the respondent experiences muscle fatigue, the heart signal is affected by noise movement artifacts that appear when doing the plank. It is concluded that the device in this study can be used properly. To overcome noise in the EMG signal, it is recommended to use dry electrodes and high-quality components. To improve the ability to transmit data, it is recommended to use a Raspberry microcontroller.
Design of Carbon Dioxide Levels Measurement in Human Expiration Using End Tidal Carbon Dioxide (EtCO2) Capnography Method Fuadi, Rifky Maulana; Yulianto, Endro; Irianto, Bambang Guruh; Mishra , Abhishek
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 1 (2023): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.160

Abstract

Asthma is a chronic respiratory disease that has become the main reason patients are always rushed to the hospital emergency department. Capnography is a new method for examining asthma by measuring CO2 levels released by the lungs. The aim of this research was to create an EtCO2 capnography device that is able to measure CO2 levels in patients with asthma or difficult breathing to assist doctors in determining the urgency of using a ventilator in a patient. The EtCO2 Capnography device used in the hospital uses a sensor that is expensive, but in this study, a CO2 gas sensor type Cozir-WX-20 was used at a low price. The research was conducted by utilizing a CO2 gas sensor type Cozir-WX-20 which read CO2 concentration in ppm value and a microcontroller as an analog to digital data processor to be displayed on the LCD. Sensor characterization was carried out to compare the side-stream and main-stream methods, response time readings, and the accuracy of the cozir sensor. The resulting data were taken from CO2 cylinders and medical air gas at various flow volume values and was connected to the Cozir sensor, EtCO2 main-stream patient monitors, and side-stream EtCO2 patient monitors. The resulting CO2 readings from CO2 tubes and medical water on the Cozir-WX-20 sensor and main-stream patient monitors obtained an error of 4.6%, namely at a CO2 concentration of 7% or 70,000 ppm and sensor accuracy is above 95%. As for the side-stream method, the reading error is 1.96% and 1.74% at a CO2 concentration of 6-7%. Sensor accuracy on the side-stream method cozir module is above 95%. Response time reading CO2 gas at a concentration of 1%-7% under 5 seconds.
Design and Development of Flow Analyzer for Peak Inspiratory Flow (PIF) and Peak Expiratory Flow (PEF) Parameters Pambudi, Andri Lazuardi Wahyu; Yulianto, Endro; Wakidi, Levana Forra
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i3.176

Abstract

This research study focused on the development and testing of a flow analyzer for monitoring the PIF (Peak Inspiratory Flow) and PEF (Peak Expiratory Flow) parameters in patients undergoing mechanical ventilation. These parameters are crucial for managing respiratory diseases like asthma and COPD. The study aims to ensure the accuracy of ventilator information provided to users by periodically testing and calibrating the ventilator using the flow analyzer. The primary contribution of this research is the utilization of the AFM3000 flow sensor to measure PIF and PEF parameters. By using this sensor, the researchers intend to enhance the accuracy of ventilator readings. The study was conducted in Volume Control (VC) mode with various VT (Tidal Volume) settings, ranging from 200 to 600 mL. Two different methods of data collection were employed to gather two sets of data. From the first data collection, the largest discrepancies in reading PIF and PEF values were found to be 3.49% and 2.99%, respectively. In the second data collection, the sensor exhibited a consistent reading for a constant flow of ±0.1 LPM (Liters Per Minute), indicating stability. The research findings suggest that the AFM3000 flow sensor demonstrates good accuracy and stability in measuring PIF and PEF parameters. Furthermore, the sensor is sensitive and has a minimal delay, making it suitable for real-time graph display in the module. Overall, this study contributes to the field of medical technology by developing and validating a flow analyzer for monitoring PIF and PEF parameters in mechanical ventilation. The research showcases the potential of the AFM3000 flow sensor to improve the accuracy and reliability of ventilator information, ultimately benefiting patients with respiratory disorders.
Enhancing Infusion Pump Calibration through Evaluating Occlusion Sensor Performance in a Dual-Channel Infusion Device Analyzer Asrori’, Ach Jiddan; Yulianto, Endro; Rahmawati, Triana
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i3.178

Abstract

Occlusions frequently hinder the continuous delivery of medications or fluids through syringes and infusion pumps, posing a critical challenge in medical practice. To address this issue, the infusion set occlusion threshold has been established at 20 Psi, guided by ECRI standards. Annual recalibration is essential to ensure compliance with this benchmark. This study focuses on appraising the precision of a pressure sensor integrated into a dual-channel TFT display infusion device analyzer. The innovative dual-channel design streamlines the concurrent calibration of two medical instruments, enhancing efficiency. The research employs a water pressure sensor to detect occlusions and a solenoid valve to simulate pressure conditions. Upon pressure detection, the sensor transmits data to an Arduino for processing. Results are vividly displayed on a 7-inch TFT LCD screen, providing real-time graphical and numerical insights, which are also stored on an SD card. Significant findings reveal distinct error margins across devices: 2.84% for the Terumo TE-331 Infusion Pump, 7.26% for the TOP-5300 Infusion Pump, a notable 58.20% for the TOP-3300 Infusion Pump, and a striking 71.26% for the Infusia VP7 infusion, indicative of pressure accuracy variations. Notably, the SEN0257 sensor exhibits superior precision when integrated with a syringe pump, showcasing a more favorable error rate compared to larger infusion pumps. This study's implications extend to the critical domain of infusion pump calibration, offering a valuable reference for assessing device suitability. The research contributes not only to refining infusion accuracy but also offers a practical framework for optimizing medical device performance, thus enhancing the overall quality of patient care.
Defibrillator with Monophasic and Biphasic Fibrillation Signal Wijaya, I Gusti Bagus Aditya; Wijaya, Aditya; Yulianto, Endro; Kholiq, Abd
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 2 (2019): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i2.252

Abstract

Lack of knowledge about functions, working methods, and safety can pose a big risk (death). Defibrillators are electronic devices that flow the shock electrical signal (pulse) to the heart muscle to maintain myocardial depolarization that is experiencing cardiac fibrillation (ventricular fibrillation or atrial fibrillation). The purpose of this study is make a defibrillator as a learning material so that anyone can have sufficient knowledge about the working principle and function of the defibrillator tool. This defibrillator is equipped with two wave selections namely monophasic and biphasic with asynchronous and synchronous modes, the energy provided ranges from 10-50 joules with use on tools 10, 20, 30, 50 joules. The energy will be flowed to the patient by pressing the Discharge button on Paddle which equivalently is adapted to humans. Energy disposal is controlled by a driver then the relay will work alternately from the first condensator then the second condensator to Paddle. Energy testing is done by 10 times using a defibrillator analyzer in a predetermined test point, the results of the monofacic wave measurement obtained by the error value of each setting with the smallest value of 0.0024% and the largest error value of 0.023%. To produce energy (joule) that appropriate capacitor is needed with real value. Bifasic waves cannot be tested because the defibrillator analyzer measuring instrument cannot detect the energy value (joule) capacitor that has been delivered.
Co-Authors ., Sumber Abd Kholiq Abhishek Mishra Ach Jiddan Asrori' Achmad Rizal Adhi Susanto Ahmad Kamil Solihin Ali, Latafat Mikayilzade Andjar Pudji Andri Lazuardi Wahyu Pambudi Anggraeni Dara Pratiwi Anita Miftahul Maghfiroh Aprilina Gayuh Arniningtyas Arifah Putri Caesaria Arniningtyas, Aprilina Gayuh Ashish Bhatt Asrori’, Ach Jiddan Bahaa Eddine ELBAGHAZAOUI Bambang Guruh Irianto Caesar Febri Nugroho Dimas Adi tya Dwi Herry Andayani Edy Haryanto Elbaghazaoui, Bahaa Eddine Fadilla Putri Devito Nur Azizah Fahmi Ardhi Faizal, Ajesh Ferry Kriswandana Fuadi, Rifky Maulana Ginarsih, Yuni Her Gumiwang Ariswati Herlina Candra Putri Hilmi Yumni I Dewa Gede Hari Wisana Imam Sarwo Indarto, Tri Bowo Ira Puspitasari Irwan Sulistio Isnanto Juliana Christyaningsih K. K. Mujeeb Rahman Kholiq, Abd Kholiq, Abd Lamidi Lamidi Latafat Mikayilzade Ali Levana Forra Wakidi Liliek Soetjiatie Luthfi Rusyadi Luthfiyah, Sari Luthfiyah, Sari Maduka Nosike MINARTI Mishra , Abhishek Moh. Amin Nasrullah Muhammad Fauzi Muhammad Fauzi Muhammad Iqbal Muhammad Ridha Mak'ruf Muhammad Ridha Mak'ruf Nadiya Garnis Sallyfan Nur Fildzah Hidayati Pambudi, Andri Lazuardi Wahyu Priyambada Cahya Nugraha Priyambada Cahya Nugraha Pudji, Andjar Putra, Wahyu Ramadhan Raden Duta Ikrar Abadi Rahmawati, Triana Ramadhan, Bahrurrizki Retno Sasongko Wati Rifky Maulana Fuadi Rokhmalia, Fitri Salwa, Umaimah Mitsalia Ummi Sambhrant Srivastava Samekto Wibowo Sandeep Kumar Gupta Sari Luthfiyah Sari, Ira Rahayu Tiyar Sella Octa Ardila Shankhwar, Vishwajeet Siti Mar'atus Slamet Wardoyo SRI UTAMI Sulistyowati, Dwi Wahyu Wulan sumber sumber Syaifudin Taufiqurrahman Thomas Sri Widodo Torib Hamzah Tri Bowo Indrato Triana Rahmawati Triana Rahmawati Triwiyanto Triwiyanto Vishwajeet Shankhwar Vugar Abdullayev Wahyu Caesarendra Wahyu Pratama Wakidi, Levana Forra Wijaya, Aditya Wijaya, I Gusti Bagus Aditya Yulia Ningrum, Churie Nurhaeni