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INDONESIA
Indonesian Journal of electronics, electromedical engineering, and medical informatics
Published by Polilteknik Kesehatan Kemenkes Surabaya
ISSN : -     EISSN : 26568624     DOI : https://doi.org/10.35882/ijeeemi
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering
The Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics (IJEEEMI) 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 intelegent system 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 (Lain-Lain)
Articles 8 Documents
 1 
Search results for , issue "Vol 5 No 1 (2023): February" : 8 Documents clear
IoT-Based Medical Box Improvement for The Elderly Adapting ISO 17025 and QoS Dewi Sekar Arum; Danny Kurnianto; Muhammad Yusro
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.256

Abstract

Elderly is a period characterized by limited movement functions in the body. Elderly with multiple comorbidities have a higher risk of non-adherence because receiving more than one type of drug is more susceptible to skipping medication hours so that the elderly need reminders and drug storage areas to maintain drug quality. This research was carried out with Arduino Uno as the control center of the system and using the ESP8266 Wi-Fi module for internet connection. This system uses a DHT-22 sensor, an HW-201 IR sensor and a servo motor. Tool standardization is also carried out through method validation adapting ISO 17025 and network-related Quality of Service (QoS). The results show that the system can work according to the command with an alarm notification on the android application when the clock shows the time to take medicine. Based on the DHT 22 sensor test, by measuring the temperature and humidity, the bias value is 0.318% and the trueness value is 99.7%. This Medical Box tool also has an acceptance limit precision of 83%. Based on the QoS network testing according to THIPON, the network quality is categorized as very good for throughput of 5241 Kbps, packet loss of 0%, delay of 136.5 msec, and jitter of 21.28 which are categorized as very good. This study designed a system to make it easier for the elderly as a reminder of the schedule for taking medication as well as a place to store drugs that can maintain the quality of drugs
QRS Detection On Heart Rate Variability Readings using Two Moving Average Methods Ayu Nissa Berlianri Rizhky; I Dewa Gede Hari Wisana; Sima Das
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.258

Abstract

Heart Rate Variability or heart rate in humans is used to unify the heart rate in humans, the function of the heart rate monitor is used to unite the human heart rate. The purpose of making this tool is to read the human heart rate using the Two Moving Average method or moving average which makes it easy to find the R peak to peak signal, making it easier to read. This is achieved by discovering and studying each window size change specified by, so that it can be seen the change in every two moving averages for each window size value. This study uses the Arduino Nano system for data processing and uses Delphi to display the processed data. In this study examined signaling and heart rate monitoring for 5 minutes. In this study it can be said that, the best window size with the best signal results for measuring heart rate is the window size 15 . this method is a method with a good accuracy rate of 98%. And also this method can be displayed directly by displaying the RR Interval and HRV value for 10 minutes with results close to 0. This method is recommended to detect high enough P and T signal.
The Detection of Indonesian Hoax Content about COVID-19 Vaccine using Naive Bayes Multinomial Method Annisa Puspa Kirana; Gunawan Budi Prasetyo; Ela Widya Lestari
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.262

Abstract

One media currently famously used in all worlds is twitter. The ease of dissemination and the exchange of information is accelerating. Every day, millions of tweets exist using various information, such as politics, technology, sports, academics, and others. The information that is widely found is about COVID-19-19 nowadays. The information on Twitter is not entirely accurate or according to facts and needs to be proven true. Therefore, this study aims to try to detect the information contained in Indonesia using methods of Naive Bayes Multinomial by using the Information Gain feature selection. The classification process is carried out by crawling tweets, preprocessing, then using feature selection, namely Information Gain, and classification using the Multinomial Naive Bayes method. Meanwhile, the validation needs in this study use k-fold cross-validation where the existing dataset is divided into training and testing data that will be tested with a confusion matrix. Researchers have carried out the confusion matrix testing process using 720 datasets divided as train data & the test data received an average accuracy value of 81.39%, precision of 80.36%, and recall of 79.73%. The highest accuracy is using k-fold two. The accuracy value reaches 88.8%, the precision value is 79.1%, and the recall value is 86.3%. The lowest accuracy was obtained on the 8th k-fold with an accuracy value of 73.6%, precision 75.4%, and recall 86.9%.
Pressure Sensor Stability Analysis of Positive End Expiratory Pressure Parameters in Flow Analyzer Design Levana Forra Wakidi; Abd Kholiq; Eko Dedi Prasetyo; Chandrasekaran P
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.263

Abstract

The Positive End Expiratory Pressure (PEEP) parameter is a parameter that must be considered in the process of determining the patient's condition, a safe threshold, and must be in accordance with the settings. However, often the PEEP value on the ventilator does not match the settings so that the measuring instrument capable of detecting PEEP on the ventilator is the Flow Analyzer. The purpose of this study was to design a Flow Analyzer using the MPX2010 sensor to analyze the stability of the PEEP parameters on the ventilator. This study used PEEP settings of 0, 5, 8, 11, 14, 17, 20, 23, 26, and 29 cmH2O. Data were collected using a ventilator with VCV (Volume Control Ventilation) and PCV (Pressure Control Ventilation) modes. The tool used for reference from standard measurements uses the Standard Flow Analyzer tool. The results of this study indicate that the measurement accuracy of PEEP parameters with the Flow Analyzer module at each PEEP setting has the smallest error of ±0% at 0 cmH2O setting so that it also has the smallest value of 0 by standard. deviation and uncertainty (UA) value 0 at each setting. The Flow Analyzer measurement module has the largest error in the 5 cmH2O setting, which is ±13.2% with the largest correction value of 0.77. From the data obtained, it can be said that the monitoring of the PEEP parameter is quite stable even though the value is still out of tolerance. Monitoring of PEEP stability parameters can be implemented during the ventilator calibration process which needs to be carried out to analyze damage and reduce the time of damage to the ventilator.
Monitoring the Stability of Oxygen Flow Analyzer on Oxygen Station in the Hospital Nur Khabibatul Rosida; Triana Rahmawati; I Dewa Gede Hari Wisana; Maduka Nosike
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.265

Abstract

Oxygen therapy besides having benefits also has certain dangers and side effects. For this reason, oxygen therapy must be given at the proper dose by monitoring the patient regularly and adjusting the oxygen flowmeter. The accuracy of flowmeter under standard conditions is guaranteed by manufacturer. With time and use the precision may change and the flow accuracy given in a hospital setting may differ from the original value. Thepurpose of this research is to conduct further research on Oxygen flow analyzer which focuses on discussing the accuracy and stability of the oxygen flow sensor against the gold standard. Contribution of this study is to increase the range of oxygen flowrate measurement to 15 liters per minute (LPM). This research uses Arduino Mega while the gas flow sensor used is legris flow sensor. The measurement results are displayed on TFT LCD equipped with SD Card data storage. The gas flowrate is regulated using a flowmeter (GEA). Meanwhile the comparison tools using Oxygen Analyzer and 1 m3 oxygen gas cylinder. At the testing stage, the sensor reading value on the module that appears on the TFT LCD is compared with the resultsf a comparison tool with a measurement range of 1 LPM to 15 LPM 6 times at each point. The conclusion from these results is that the calibrator module has a relative error is still within the allowable tolerance limit of ±10%. INDEX TERMS Calibration, Oxygen Flow Analyzer, Flowmeter, TFT Display
Design of Carbon Dioxide Levels Measurement in Human Expiration Using EtCO2 Capnography Method Rifky Maulana Fuadi; Endro Yulianto; Bambang Guruh Irianto; Abhishek Mishra
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.266

Abstract

Asthma is a chronic respiratory disease and 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 is to create an EtCO2 capnography device that is able to measure CO2 levels in patients with asthma or difficulty 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 is used at a low price. The research was conducted by utilizing a CO2 gas sensor type Cozir-WX-20 which reads 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 is taken from CO2 cylinders and medical air gas at various flow volume values and is connected to the Cozir sensor and 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 get 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. It is hoped that this inexpensive EtCO2 Capnography device can be used for diagnostic purposes in the emergency room or intensive care unit to quickly and accurately determine the urgency of using a ventilator in a patient to avoid a fatal condition.
Analysis of Dialysate pH and Temperature Stability on Hemodialysis Machines Using Internet of Thing Technology Noviyanto Putera P; Lusiana Lusiana; Endang Dian Setioningsih; Sari Luthfiyah; Abhilash Pati
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.267

Abstract

Therapy for kidney replacement with hemodialysis is a treatment that is carried out in patients with Chronic Kidney Failure to survive. The purpose of this study was to determine the stability of the dialysate fluid in the hemodialysis machine by measuring the temperature using the DS18B20 sensor and measuring the dialysate pH using the 4502C sensor on pre and post-hemodialysis. The research method and the manufacture of this module use a pre-experimental research design with the type of research "one group posttest design" the independent variables are the pH value and Dialysate Temperature, the dependent variable is the pH and Temperature Sensor, the control variable is the Traceable Tool. This research made a module using an Esp32 microcontroller system with an LCD that can be monitored with Android via the Internet of Things (IoT) system. 03 and the comparison of the results of the dialysate temperature values ​​at the time of pre and post-obtained the maximum measurement error of 0.2%. From the measurement and analysis data, it can be concluded that there is no effect of pH and temperature values ​​during pre and post hemodialysis.
Data Communication Stability Test a Data Acquisition System (DAQ) for Inpatient Rooms Sentagi Sesotya Utami; Winny Setyonugroho; Iman Permana; Tri Lestari; Muhammad Dian Saputra Taher; Gilang Ari Widodo; Akhmad Khanif
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.268

Abstract

In inpatient services, patient beds are usually limited by curtains or partitions to maintain the patient's safety. At the time of data collection, the barrier or barrier is considered to the effectiveness of the results and validation of medical device sensor data. This study aims to explain the results of the reliability testing of Bluetooth and the internet on hardware and CovWatch applications. This study is action research; comparison is used using devices (tools) with different specifications. Testing internet and Bluetooth connectivity from the CovWatch unit and applications installed on the Samsung A01 devices, Redmi Note 10 and Oppo A57, have mixed results. Hardware CovWatch and Samsung A01 are considered the best in acquiring vital sign data, while Redmi Note 10 and OPPO A57 are not good because some data cannot be obtained so that it does not appear on the monitor unit.

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