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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 Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advanced Health Science and Technology
Endro Yulianto
POLTEKKES KEMENKES Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Health Professions Nursing Public Health

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Baby Incubator Based on PID Control With Kangaroo Mode (Kangaroo Mode and Humidity) Nur Fildzah Hidayati; Endro Yulianto; Abd Kholiq
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 2 (2019): 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.v1i2.3

Abstract

Baby Incubator is one of the electromedical equipment used to provide protection to premature babies or low birth weight. Baby care in the baby incubator causes separation of mother and baby. A new innovation in the care of premature babies who bring their babies and mothers closer is Kangaroo Method Management (PMK). Kangaroo method treatment aims to create emotional attachment to the baby, so that the mother will confidently take care. The research and manufacture of this module uses a method of treating baby incubator by adding a reading of the room temperature when the kangaroo mode runs at a setting of 34 ° C - 37 ° C with the effect of room temperature at 18 ° C, 24 ° C, and 30 ° C and setting the humidity control automatically by measuring at a temperature of 32 ° C, then measuring the results immediately. Sensors used to detect temperature are LM35 sensors and sensors used to detect humidity using DHT22. Based on the measurement results obtained uncertainty values ​​on the measurement of humidity 2.1, the measurement of temperature stability can be seen from the results of the graph which shows that the room temperature is not too influential at the temperature of the baby incubator. This study has shown the development of baby incubators to help mothers who have babies born prematurely so that they can have a good bond with how to treat skin to skin. This study has proven that its accuracy is appropriate to be used to stabilize the condition of babies born prematurely and help to treat PMK in some hospitals. In the future, this research can be made and used in small clinics in villages at low costs.
Peak Flow Meter Equipped with Inspection Results Indicator Nadiya Garnis Sallyfan; Endro Yulianto; Torib Hamzah
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 1 (2020): 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.v2i1.2

Abstract

Peak Flow Meter (PFM) is a tool to measure the Peak Flow of Air Expiration in the road (PFR) or commonly referred to as Peak Expiration Flow (PEF) and to connect asthma. The value of PEF can help a number of factors in age, respiratory muscle strength, height and gender. Airway measurements are used to measure patients suffering from asthma. This peak flow meter tool works based on the air pressure produced from the patient's puff using the MPX5100GP pressure sensor in the range of 0 to 100 kPa and the voltage output is 0.2 to 4.7 VDC to increase wind pressure in the patient. From the pressure converted to voltage and enter the 0 from the Arduino nano minimum system circuit to be processed into analog data and then put into units of liters / second, the value of the flow meter is sent and replaced to a PC with the Delphi7 application. The measurement results of PEF values at peak flow meters have an error value of less than 5% This peak flow meter tool also has a consideration value of 0.095475 so that this tool can be said to be very certain to be used as asthma. Then it can be concluded that the peak flow meter is feasible and meets the specified requirements
Design of an Electromyograph Equipped with Digital Neck Angle Elevation Gauge Ahmad Kamil Solihin; Endro Yulianto; Her Gumiwang Ariswati; K. K. Mujeeb Rahman
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 3 No 3 (2021): 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.v3i3.4

Abstract

The development of technology also affects human health, including body posture due to poor human position when using gadgets, both smartphones, and laptops. This study is design a tool that can measure the elevation of a person's neck angle equipped with electromyography, to help health workers, medical rehabilitation doctors to diagnose and provide treatment to patients with a bent head posture or forward head posture. In this research, an electromyography module is designed which consists of a series of instruments, a pre-amplifier circuit, a high pass filter, a low pass filter, and a dc offset regulator to be converted to digital so that it can be displayed on a laptop. In this study, the tapped muscle was the upper trapezius muscle using disposable electrodes. Meanwhile, to measure the angular elevation, the MPU 6050 sensor is used to measure the movement of the head forward. The frequency of the electromyography signal is 20-500 Hz. For software or display readings from this tool is Delphy. Meanwhile, the microcontroller used for ADC communication is Arduino Uno. From the research, it was found that the neck angle elevation gauge has a 0,597% error rate, for conditioning conducted on respondents, all respondents experienced a decrease in amplitude on the same frequency spectrum in the last ten minutes. Meanwhile, a drastic decrease occurred at the neck angle of 60°. Thus, it can be concluded that the forward position of the head affects the frequency spectrum of the neck muscles.
Use of a Portable Particle Counter to Analyze Particle Stability Time in a Biological Safety Cabinet (BSC) Herlina Candra Putri; Priyambada Cahya Nugraha; Endro Yulianto; Ashish Bhatt
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 2 (2022): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i2.4

Abstract

Biological Safety Cabinet (BSC) is a laboratory work area with air ventilation that has been engineered to protect workers working with material samples, the environment and material samples from the possible danger of contamination or causing the spread of pathogenic bacteria or viruses. The purpose of this study is to analyze the stability of the time required for the BSC to reach the condition of no particles in the BSC space. This is done by making a module using the PMS7003 sensor to detect the number of particles. This study uses the Arduino Mega system for data processing and then displays it in the form of graphs and numbers. In the condition of the number of particles of 162,965, the time required for the BSC is 29 seconds, while in the condition of the number of particles of 186,408, the time required is 38 seconds. So it is known that if the number of particles in the BSC space is more and more particles in the BSC space, the longer it takes for the BSC to reach the no-particle condition. BSC that uses a single fan blower cannot achieve a stable number of particles simultaneously.
Measurement of Vital Signs Respiratory Rate Based on Non Contact Techniques Using Thermal Camera & Web Camera with Facial Recognition Raden Duta Ikrar Abadi; Endro Yulianto; Triwiyanto Triwiyanto; Sandeep Kumar Gupta; Vugar Abdullayev
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 2 (2022): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i2.3

Abstract

Examination of the respiratory rate is included in the calculation of vital sign parameters used by the medical team to determine whether a person's condition is good or not. Researchers want to develop a method of checking the respiratory rate that is easy to use by the general public and can display fast and precise results. During this pandemic, we are forced to reduce direct human-to-human contact with the aim of suppressing the exchange of viruses. From this condition, the researcher wants to develop a measuring instrument to measure the respiratory frequency with the non-contact method. This method is expected to reduce direct contact between humans and still get the results of the respiratory rate value which can be used as a parameter to determine a person's condition. To get the value of the respiratory rate, researchers have an idea by monitoring changes in temperature using a thermal camera. For the respiratory rate parameter, the researcher observed the nose area by detecting changes in expiratory and inspiration temperatures and then calculating the respiratory rate. To get these results, the researcher uses a method of detecting the face area or called face recognition and then detecting the ROI point in the area of interest in the nose area. In observing the respiratory rate, the temperature value during expiration is 31.05 °C while at the time of inspiration is 30.01 °C. This temperature difference will be carried out in the process of calculating the respiration rate value by the system made by the researcher. In the results of this study, it was found that the respiration rate module can be used as a reference with a normal use range of 60-120 cm with an error value of 1% if the distance is above 100 cm, then the results of this study are that this research can be implemented on a breathing frequency measuring instrument with a non-standard method. - contact
Pusat Pemantauan Volume Penggunaan Gas Medis Oksigen Berbasis Komputer Moh. Amin Nasrullah; Dwi Herry Andayani; Endro Yulianto Yulianto
Jurnal Teknokes Vol 12 No 2 (2019): September
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (638.91 KB)

Abstract

Penggunaan oksigen yang terjadi di rumah sakit saat ini masih kurang memberikan transparansi kepada pihak pasien. Besar tarif selama ini hanya melalui pencatatan secara manual dari lamanya pemakaian gas oksigen, bukan berdasar volume penggunaannya. Alat pendeteksi volume penggunaan oksigen yang dibuat sebelumnya, outputnya hanya sebatas per menit, belum dapat mendeteksi pemakaian per detik. Selain itu alat sebelumnya hanya khusus untuk orang dewasa, dan belum terhubung ke PC serta belum ada sentral monitoring dari ruang perawat. Tujuan penelitian ini membuat central monitoring pendeteksi volume penggunaan gas oksigen secara riil tampil pada PC. Peneliti menggunakan sensor yang lebih sensitive dengan pembacaan minimal 1 L/min sehingga bisa di gunakan untuk pasien anak dan dewasa. Disamping itu juga dapat mendeteksi output pemakaian per detik, sehingga tarif dan volume pemakaian oksigen yang di keluarkan adalah linier, transparan dan akurat. Desain penelitian ini menggunakan after only design dan yang bertindak sebagai control PT. SMS. Penghitungan total volume serta beban tarif pada modul ini menggunakan rumus persamaan fungsi
Infant Incubator Berbasis Proportional Integral dan Derivative (PID) Dilengkapi Dengan Mode Kanguru Anggraeni Dara Pratiwi; Endro Yulianto; Abd Kholiq
Jurnal Teknokes Vol 12 No 1 (2019): April
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.785 KB)

Abstract

Infant Incubator merupakan salah satu peralatan elektromedik yang digunakan untuk memberikan perawataan kepada bayi baru lahir berat rendah dengan cara memberikan suhu ruang yang stabil dan pemantauan suhu tubuh bayi. Tujuan dari penelitian ini adalah mengembangkan sistem kontrol suhu ruang Infant Incubator sehingga didapatkan hasil suhu yang stabil. Penelitian dan pembuatan alat menggunakan sensor thermistor untuk suhu kulit bayi dan sensor LM35 untuk suhu ruang Infant Incubator dengan sistem kontrol PID yang dilakukan dengan metode trial and error sampai mendapatkan respon suhu yang optimal pada konstanta proportional (Kp) sebesar 57, konstanta integrator (Ki) sebesar 8 dan konstanta differential (Kd) sebesar 3.2. Berdasarkan hasil pengukuran yang dilakukan dengan INCU Analyzer didapatkan rata – rata error terbesar pada pengaturan suhu 350C sebesar 0.689% dan rata – rata error terkecil pada pengaturan suhu 370C sebesar 0.139%. Pada pengukuran suhu skin terdapat rata – rata pengukuran sebesar 35 0C dengan error sebesar 0.12% terhadap alat pembandingnya. Infant Incubator memiliki kestabilan suhu yang optimal dan pemantauan suhu tubuh bayi yang bermanfaat agar bayi tidak mengalami hipotermi maupun hipertermi.
Twelve Channel ECG Phantom Based on MEGA2560 and DAC-MCP4921 Fadilla Putri Devito Nur Azizah; Bambang Guruh Irianto; Endro Yulianto
Jurnal Teknokes Vol 14 No 2 (2021): September
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v14i2.5

Abstract

Electrocardiograph (ECG) is one of the diagnostic sciences that is often studied in modern medicine, one of which is to diagnose and treat diseases caused by the heart. Therefore, it is necessary to check the function of the ECG recorder tool, namely by carrying out the tool calibration procedure using Phantom ECG. The purpose of this research is to design a Phantom ECG for a 12 channel ECG device which includes lead I, lead II, lead III, aVR, aVL, aVF, V1, V2, V3, V4, V5, and V6 and completes it with a sensitivity selector. The contribution of this research is that the tool can be used as a calibration tool for the ECG Recorder and can be used as a learning medium in the world of health. In order to create a signal that matches the original, this tool uses a heart signal formation method using a DAC type MCP4921 with an ATMEGA2560 microcontroller and for display settings using a 2.4 inch TFT Nextion Display. The MCP4921 type DAC converts the digital signal data into analog data which will then be forwarded to the resistor network circuit as a signal formation for each lead. In the measurement results, the error in measurements with sensitivity of 0.5 mV, 1.0 mV, and 2.0 mV using an ECG Recorder at BPM 30 is 0.00%, BPM 60 is 0.00%, BPM 120 is 0.00%, and BPM 180 is 0.56%. The results showed that the biggest error was found in BPM 180, which was 0.56%.
Digital ECG Phantom Design to Represent the Human Heart Signal for Early Test on ECG Machine in Hospital Sella Octa Ardila; Endro Yulianto; Sumber Sumber
International Journal of Advanced Health Science and Technology Vol. 1 No. 1 (2021): November
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.633 KB) | DOI: 10.35882/ijahst.v1i1.3

Abstract

Electrocardiograph (ECG) is a diagnostic tool that can record the electrical activity of the human heart. By analyzing the resulting waveforms of the recorded electrical activity of the heart, it is possible to record and diagnose disease. Given the importance of the ECG recording device, it is necessary to check the function of the ECG recording device, namely by performing a device calibration procedure using the Phantom ECG which aims to simulate the ECG signal. The purpose of this research is to check the ECG device during repairs, besides that the Electrocardiograph (EKG) tool functions for research purposes on ECG signals or for educational purposes. Electrocardiograph (EKG) simulator or often called Phantom ECG is in principle a signal generator in the form of an ECG like signal or a recorded ECG signal. This device can be realized based on microcontroller and analog circuit. The advantage of this simulator research is that the ECG signal displayed is the original ECG recording and has an adequate ECG signal database. ECG This simulator also has the advantage of providing convenience for research on digital signal processing applications for ECG signal processing. In its application this simulator can be used as a tool to study various forms of  ECG signals. Based on the measurement results, the error value at BPM 30 and 60 is 0.00% at the sensitivity of 0.5mV, 1.0mV, and 2.0mV, then the measurement results for the error value at BPM 120 are 0.33% and at the BPM 180 value, the error value is 0.22%. From these results, it can be concluded that the highest error value is at BPM 120 with sensitivities of 0.5mV, 1.0mV, and 2.0mV.  
Dynamic feature for an effective elbow-joint angle estimation based on electromyography signals Triwiyanto Triwiyanto; Triana Rahmawati; Endro Yulianto; Muhammad Ridha Mak'ruf; Priyambada Cahya Nugraha
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp178-187

Abstract

Some physical parameters influence the electromyography signal (EMG). when the EMG signal is used to estimate the position of the elbow. An adaptable feature was important to reduce a variation on the parameters. The aim of this paper is to estimate the joint position of the elbow using EMG signal based on a dynamic function. The major contribution of this work is that the method proposed is capable of determining the elbow position using the non-pattern (NPR) recognition (PR) method. A Wilson amplitude (WAMP) which used a dynamic threshold was used to reduce the EMG signal. The dynamic threshold was generated from the root mean square (RMS) processor. With the dynamic threshold, the model could adapt to any variations on the independent variables. In order to confirm this opportunity, this work involved ten healthy male subjects to perform an experimental protocol. After a tuning and calibration process, the mean of RMS error and correlation coefficient are 9.83º±1.69º and 0.98±0.01 for a single cycle of motion, 10.39º±1.82º and 0.97±0.01 for a continuous cycle of motion and 15.19º±1.92º and 0.94±0.02 for the arbitrary gesture. For conclusion, the performance of the prediction did not significantly depend on the varying cycle of gesture (p-value>0.05). This study has confirmed that the success of the non-pattern recognition-based prediction of elbow position is adaptable to any different subjects, loads, and speed of motion.
Co-Authors ., Sumber Abd Kholiq Ahmad Kamil Solihin Anggraeni Dara Pratiwi Ashish Bhatt Bahaa Eddine ELBAGHAZAOUI Bambang Guruh Irianto Dwi Herry Andayani Fadilla Putri Devito Nur Azizah Her Gumiwang Ariswati Herlina Candra Putri K. K. Mujeeb Rahman Kholiq, Abd Luthfiyah, Sari Moh. Amin Nasrullah Muhammad Fauzi Muhammad Ridha Mak'ruf Nadiya Garnis Sallyfan Nur Fildzah Hidayati Priyambada Cahya Nugraha Priyambada Cahya Nugraha Raden Duta Ikrar Abadi Rahmawati, Triana Sandeep Kumar Gupta Sella Octa Ardila Torib Hamzah Triwiyanto Triwiyanto Vishwajeet Shankhwar Vugar Abdullayev