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Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya Jl. Pucang Jajar Timur No. 10, Surabaya, Indonesia
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Journal of Electronics, Electromedical Engineering, and Medical Informatics
Published by Polilteknik Kesehatan Kemenkes Surabaya
ISSN : -     EISSN : 26568632     DOI : https://doi.org/10.35882/jeeemi
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
The Journal of Electronics, Electromedical Engineering, and Medical Informatics (JEEEMI) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics which covers three (3) majors areas of research that includes 1) Electronics, 2) Biomedical Engineering, and 3)Medical Informatics (emphasize on hardware and software design). Submitted papers must be written in English for an initial review stage by editors and further review process by a minimum of two reviewers.
Arjuna Subject : Teknik (semua kategori) - Teknik Biomedis
Articles 7 Documents
 1 
Search results for , issue "Vol 4 No 4 (2022): October" : 7 Documents clear
Planning a Protection Coordination System Against Over Current Relays and Ground Fault Relays Using the NN Method Siti Zaibah; Anggara Trisna Nugraha; Fortunaviaza Habib Ainudin
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.v4i4.239

Abstract

PT PAMA PERSADA is one of the power plants located in Kalimantan, Barunang which has 2 feeders. In one of the feeders, protection coordination often occurs. These disturbances can hamper the performance of the company PT PAMA PERSADA. This turned out to be a disturbance in the coordination of protection types of overcurrent relays and ground fault relays. Where in the end it takes an evaluation analysis of the relay setting coordination using the Electrical Transient Analysis Program (ETAP) 19.0.1 software on the electrical system. The disturbance that occurs is in feeder 2 which is divided into KM30 and Parilahung substations. This disturbance occurs because the relay coordination trips work simultaneously. From the results of the ETAP simulation, the power value is 4.164 KW, the reactive power is 780.3 KVAR, the apparent power is 4.237 KVA, and the cos phi value used is 0.9. Meanwhile, the protection coordination setting meets the IEEE 60255 standard with a grading time of 0.2 – 0.6 second. After being successfully simulated with the Electrical Transient Analysis Program (ETAP) 19.0.1 software, it was continued with the Matlab software which was used as an optimization of the relay settings and the use of the working effect of the NN (Neural Network) method. In accordance with the MSE (Main Square Error) value it reached 0.33452.
A Review on EMI Issues in High speed Designs and Solutions Uma Maheswari Y; Amudha A; Ashok Kumar L
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.v4i4.253

Abstract

As data speed on printed circuit boards have increased, new difficulties have evolved and necessitating the development of new analytical methodologies and solutions. It will be necessary to continue research in order to keep up with the ever-increasing data rates and smaller form factors. The literature and issue pertaining to the EMI/EMC of printed circuit boards are reviewed in detail in this paper for the purpose of providing an overview and to assist people looking for more extensive references related to this area. This review includes EMI issues related to high speed PCB, EMI measurement techniques using software and hardware and solution for the EMI issues. Also reviewed the use of electromagnetic band gap (EBG) technology to minimize electromagnetic interference (EMI). In recent years, there have been a number of articles describing the several uses of EBG for the purpose of blocking undesired radiation at discontinuities. Various EBG structure performances with its applications are analysed and detailed.
Reduction of Feature Extraction for COVID-19 CXR using Depthwise Separable Convolution Network Zendi Iklima; Trie Maya Kadarina; Rinto Priambodo
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.v4i4.255

Abstract

A Convolutional Neural Network (CNN) classifier is generally utilized to classify an image tensor according to the mapped labels. The simplification of the classifier causes CNN to be often used to classify images, especially in the biomedical field. Thus, CNN is widely used to classify computer tomography (CT) and chest X-ray (CXR) images against the mapped labels. Several transfer learning models were implemented to classify CXR images for preliminary detection of COVID-19 infection, e.g., ResNet, Inception, Xception, etc. However, a transfer learning model has a maximum and minimum input resolution. Thus, the computational cost tends to be huge and unable to be optimized. Therefore, A custom CNN model can be a solution to reduce computational costs by configuring the feature extraction layers. This study proposed an efficient reduction of feature extraction for COVID-19 CXR namely Depthwise Separable Convolution Network. Furthermore, numerous strategies were adopted to lower the computational cost while retaining accuracy, including customizing the Batch Normalization (BN) layer and replacing the convolution layer with a separable convolution layer. The proposed model successfully reduced the feature extraction represented by the decreases in trainable parameters from 28.640 trainable parameters to 4.640 trainable parameters. The depthwise separable convolution effectively retains the performance accuracy 72.96%, loss 12.43%, recall 74.67%, precision 77.67%, and F1-score 75.33%. The CXR augmentation is also successfully increase the performance accuracy 74.55%, loss 11.37%, recall 77.67%, precision 79.56%, and F1-score 78.33%.
Analysis of the Effectiveness of Using Digital Filters in Electronic Stethoscopes Andi Fathkur Rohman; Muhammad Ridha Mak'ruf; Triwiyanto Triwiyanto; Lamidi Lamidi; Phuoc-Hai Huynh
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.v4i4.256

Abstract

The heart sound produced in some cases of the disease shows a certain pattern. The purpose of this study was to design an electronic stethoscope for cardiac auscultation with the following display. The contribution in this study is being able to show certain patterns that can be diagnosed in the sound signal. So that the pattern can be known when there is a heart disease disorder, an electronic stethoscope will be made for auscultation of the next display, making it easier for users to diagnose heart disease. The heart sound is obtained from the mechanical activity of the heart which is tapped by a condenser mic. The heart sound will be held in a pre-amp circuit, then the filters used are High Pass Filters and Low Pass Filters with an interrupted frequency of 20-95 Hz. The output of the filter circuit will enter the booster circuit. Then it will be processed by the microcontroller. In processing the data that will be displayed on Nextion and Speaker, the author uses Arduino Mega. Based on the test, it can be seen that the digital filter has a slight error rate because it removes the most noise, while in the analog filter there is still a lot of noise. The results of the research that has been done can be implemented using a system that really supports the needs.
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
Enhancing the Electrocardiogram Signal Quality by Applying Butterworth Infinite Impulse Response Filter 8th Order Nindia Rena Saputri; Sari Luthfiyah; Dyah Titisari; Bedjo Utomo; Lusiana Lusiana; Triwiyanto Triwiyanto; Faheem Ahmad Reegu; Wahyu Caesarendra
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.v4i4.259

Abstract

The electrocardiogram (ECG) of the human body is an important basis in heart function as well as the diagnosis of cardiovascular diseases, which has a very vital role in clinical diagnosis. Obtaining high-quality ECG signals with a portable remote ECG acquisition system is a big challenge given limited resources. According to the World Health Organization (WHO), disorders of the cardiovascular system still rank high, causing about 31% of deaths globally. This is because the symptoms of cardiovascular disease cannot be seen directly, but rather by conducting an electrocardiograph (ECG) examination. The purpose of this research is to develop and analysis the ECG signal by comparing the 2nd order AD8232 module analogue filter with the 8th order Butterworth digital filter by applying infinite impulse response. This research uses a multiplexer circuit for switching leads, AD8232 ECG module, 50Hz notch filter circuit, non-inverting amplifier, adder, Arduino Mega 2560, USB module, and an application to display digital signals, namely Delphi 7. Signal acquisition is done by monitoring for one minute. Data collection was carried out with 5 respondents 5 times on each lead. The results of the data collection can be concluded that 80% of digital filters display smoother signals for ECG signals than analogue filters.
Design and Build a Distance and Heart Rate Monitoring System on a Dynamic Bike Integrated with Power Generating System Anggara Trisna Nugraha
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.v4i4.260

Abstract

One of the organs of the body that must be protected is the heart. The heart is an organ of the human body that performs important functions to sustain life. Maintaining health is a top priority and requires careful attention, so small abnormalities in the heart can have a big impact on our body's performance [2]. In addition to the rapid development of the field of health sciences, this can affect not only aspects of medicine, but also other supporting fields of science such as chemistry, biology, pharmacy and other scientific fields. Don't forget that informatics plays an important role in maintaining, monitoring, diagnosing, and managing health, especially heart health. With the development of medical science, people are always active in improving their physical fitness in order to remain optimal in the current new normal era. After the Covid-19 pandemic, many things change to adapt to the environment around us. One of the implications of the adjustment in the new normal era is the use of transportation for social distancing. Many people use environmentally friendly and healthy modes of transportation, such as bicycles, to travel. In 2016, Deshmukh and colleagues conducted a study entitled 'Design of a Walking Bike', one of several developments in the title of research that discusses the design of a treadmill bicycle [5]. In this study, a mechanical test and design of a treadmill bicycle was carried out in the form of 3D modeling which had been integrated with a power generating system in the form of adding a BLDC motor to the rear wheel. By following the rapid development of technology. The authors investigated the effect of treadmill cycling on heart rate monitoring using the MAX30102 sensor. The two initial values ​​can easily be derived from the results of the conducted studies. The first test has an error rate of 12.64% and the second test has an error rate of 22.09%. From the results of these tests, the author is in further investigation by adding the Kalman filtering method to the MAX30102 sensor. Then, the output generated from this power generating system can charge the battery up to 12.95 volts with a period of 25 minutes of testing. From the results of these tests, the author is in further investigation by adding the Kalman filtering method to the MAX30102 sensor. Then, the output generated from this power generating system can charge the battery up to 12.95 volts with a period of 25 minutes of testing. From the results of these tests, the author is in further investigation by adding the Kalman filtering method to the MAX30102 sensor. Then, the output generated from this power generating system can charge the battery up to 12.95 volts with a period of 25 minutes of testing.

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