Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics (IJEEEMI) publishes peer-reviewed, original research and review articles in an open-access format. Accepted articles span the full extent of the Electronics, Biomedical, and Medical Informatics. IJEEEMI seeks to be the world’s premier open-access outlet for academic research. As such, unlike traditional journals, IJEEEMI does not limit content due to page budgets or thematic significance. Rather, IJEEEMI evaluates the scientific and research methods of each article for validity and accepts articles solely on the basis of the research. Likewise, by not restricting papers to a narrow discipline, IJEEEMI facilitates the discovery of the connections between papers, whether within or between disciplines. The scope of the IJEEEMI, covers: Electronics: Intelligent Systems, Neural Networks, Machine Learning, Fuzzy Systems, Digital Signal Processing, Image Processing, Electromedical: Biomedical Signal Processing and Control, Artificial intelligence in biomedical imaging, Machine learning and Pattern Recognition in a biomedical signal, Medical Diagnostic Instrumentation, Laboratorium Instrumentation, Medical Calibrator Design. Medical Informatics: Intelligent Biomedical Informatics, Computer-aided medical decision support systems using heuristic, Educational computer-based programs pertaining to medical informatics
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<![CDATA[Integrated Visitor Management System with Smart Hand Sanitizer based on IoT Approach ]]>
<![CDATA[Hafidz, Adli Al]]>;
<![CDATA[Pujiharsono, Herryawan]]>;
<![CDATA[Kadarisman, Kadarisman]]>;
<![CDATA[Yusro, Muhammad]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i3.173
<![CDATA[Coronary heart disease is a public health problem because of its very high morbidity and mortality, the death rate caused by coronary heart disease is quite high in the world, including in Indonesia. This study aims to analyze and develop and realize the application of non-invasive blood cholesterol measurement based on ICT. Contribution of this research is that it can be used as a reference or recommendation for developing a non-invasive ICT-based blood cholesterol measurement system. The research method used in this study is the library study method and the experimental method. The results of this study are: (1) The monitoring system for measuring blood cholesterol levels Non-invasive methods using near infrared technology can be implemented properly and can be monitored based on ICT using webBase; (2) Tests were carried out on 25 random samples with two conditions, conditions before eating and conditions after eating and compared with the invasive method (auto check), found an accuracy value in conditions before eating of 98.47% with an error value of 1.53%, while in the condition after eating found an accuracy of 98.55% with an error value of 1.45%; (3) Testing the blood cholesterol level detection tool with Non-invasive shows a more real time with a duration of 10 seconds until the results are displayed on the LCD screen, while with an invasive method it shows a measurement duration of 26 seconds until the results are displayed on the screen. (4) Based on this test, a non-invasive cholesterol level measuring device can be used as a reference in the development of a blood cholesterol measurement tool so that it can be an option for routine measurements.]]>
<![CDATA[Prototype of Automatic Control System for Water Temperature and Acidity in Ornamental Fish Aquarium Based on Internet of Things (IOT) ]]>
<![CDATA[Hermansyah, Adi]]>;
<![CDATA[Septian, Tri Wanda]]>;
<![CDATA[P, Aditya Putra Perdana]]>;
<![CDATA[Faris, Mgs Muhammad]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i3.174
<![CDATA[The Internet of Things (IoT) has brought changes to modern life, such as automatic traffic lights, smart homes, optimizing energy utilization, and monitoring water conditions in ornamental fish. It is necessary to design an integrated system that can monitor and maintain stable water conditions and is suitable for ornamental fishing. This paper describes the design of an automatic control system tool for regulating water temperature and acidity in an IoT-based fish aquarium. The design of the tool consists of a NodeMCU ESP 8266 as the microcontroller, connected to DS18B20 to measure water temperature, and PH-4502C to measure acidity. The application of the control system in the aquarium works well, with an average temperature of 28.99 centigrade and a pH of 5.44.]]>
<![CDATA[Analysis of Histogram and Grayscale on Chest X-Ray in Lung Cancer Using Image-J ]]>
<![CDATA[Susanto, Fani]]>;
<![CDATA[Utami, Hernastiti Sedya]]>;
<![CDATA[Pradika, Fannisa Rahma]]>;
<![CDATA[Idris, Festyana Fillauhid]]>;
<![CDATA[Febriana, Chindi]]>;
<![CDATA[Kurniawan, Martindra Yoni]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i3.175
<![CDATA[Cancer often attacks the human body, one of which was the lung, and lung cancer was the main cause of death from cancer. Posteranterior (PA) chest radiographic examination is a screening tool for the diagnosis of lung cancer. The computed radiography (CR) modality produces thoracic images quickly and optimally and can be processed as needed, but so far, radiologists have only interpreted images with visual and subjective assessments. So that digital medical image processing is needed by looking at the histogram and gray scale values to increase the quantitative accuracy of lung cancer enforcement, This study aims to analyze the comparison of histograms and grayscale values on CR thoracic images between normal and lung cancer patients. This type of quantitative experimental research was carried out on a sample of 100 chest images consisting of a control group in normal patients and a treatment group in lung cancer patients, totaling 50 images each. Purposive sampling was used for the control group in patients aged 18–60 years and normal, and for the treatment group in patients aged 18–60 years and lung cancer clinicians. All images were calculated in grayscale and displayed as histogram graphics with the Image-J application, and the region of interest (ROI) was performed on the lung lobes at the point of fog or gloom due to pathology, then analyzed statistically using the Independent T-Test. The results show that there is a difference in grayscale values between normal chest images and lung cancer (p 0.001). The grayscale and histogram values in lung cancer chest images (104.780+5.942) are higher and tend to the right compared to the grayscale and histogram values in normal chest images (65.361+3.313).]]>
<![CDATA[Design and Development of Flow Analyzer for Peak Inspiratory Flow (PIF) and Peak Expiratory Flow (PEF) Parameters ]]>
<![CDATA[Pambudi, Andri Lazuardi Wahyu]]>;
<![CDATA[Yulianto, Endro]]>;
<![CDATA[Wakidi, Levana Forra]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i3.176
<![CDATA[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.]]>
<![CDATA[Accuracy of Infrared Photodiode Sensors at The Flowrate Measurement in Infusion Device Analyzer with 2 Channel TFT Display ]]>
<![CDATA[Azizah, Wafiq Nur]]>;
<![CDATA[Rahmawati, Triana]]>;
<![CDATA[Syaifudin, Syaifudin]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i3.177
<![CDATA[Infusion is a medical procedure involving the delivery of fluids, medications, nutrients, or other substances into a patient's circulatory system through intravenous flow. In its implementation, commonly used infusion tools are infusion pumps and syringe pumps, as these devices assist in accurately and precisely controlling the flow rate. However, with continuous usage, there is a potential for inaccuracies in measuring the flow rate of fluids from these devices. Therefore, periodic calibration is necessary. According to Regulation No. 54 of 2015 from the Ministry of Health, calibration of medical devices, including infusion devices, must be conducted at least once a year to ensure their ongoing accuracy. The purpose of this research is to design an Infusion Device Analyzer (IDA) with a flow rate parameter. The contribution of this research is that the tool can accurately calculate the correct value of the flow rate that comes out of the infusion pump and syringe pump. One of the innovations resulting from this study is the Infusion Device Analyzer, equipped with a 7-inch TFT LCD screen that displays graphical parameters of the flow rate. This is achieved through the use of Infrared Photodiode sensors, which measure the rate of fluid flow. The performance graph displayed on the TFT LCD can visualize the stability of fluid flow when using various types of devices like syringe pumps and infusion pumps. The results of this research show a range of error values in the performance of various brands of infusion devices. When using the Terumo Syringe Pump, there is an error value of 0.86% (100 mL/h) for Channel 1 and 0.69% (100 mL/h) for Channel 2. For the B-Braun Syringe Pump, the error value is 1.30% (100 mL/h) for Channel 1 and 0.85% (10 mL/h) for Channel 2.]]>
<![CDATA[Enhancing Infusion Pump Calibration through Evaluating Occlusion Sensor Performance in a Dual-Channel Infusion Device Analyzer ]]>
<![CDATA[Asrori’, Ach Jiddan]]>;
<![CDATA[Yulianto, Endro]]>;
<![CDATA[Rahmawati, Triana]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i3.178
<![CDATA[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.]]>
<![CDATA[ECG and NIBP Simulator in One Device Display on TFT Nextion ]]>
<![CDATA[Melinda, Cantika]]>;
<![CDATA[Wisana, I Dewa Gede Hari]]>;
<![CDATA[Pudji, Andjar]]>;
<![CDATA[Triwiyanto, Triwiyanto]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i3.179
<![CDATA[Accurate monitoring of NIBP (Non-Invasive Blood Pressure) parameters using vital sign monitors is crucial for patient care. Therefore, calibration of vital sign monitors is essential to ensure their safety and reliability. A vital sign simulator was developed in this study, integrating ECG and NIBP parameters with a TFT Nextion display. The aim is to calibrate ECG and NIBP readings on vital sign monitors. The system utilized the Arduino Mega 2560 as the central controller and the MPX5050GP sensor for NIBP measurement and motor pump control. The NIBP parameters were measured at two settings: 60/30 and 80/50. The results showed a maximum systolic error of 3.5% and a diastolic error of 5.6% for the NIBP setting of 80/50. The largest standard deviation value of 2.05 was observed at the NIBP setting of 60/30. The highest uncertainty value of 0.5 was also found in the NIBP 60/30 setting. The obtained data indicated stable module readings within the acceptable threshold for vital sign monitor calibration. The developed vital sign simulator offers a reliable means of calibrating NIBP parameters, enabling accurate blood pressure measurements. Further research and refinement can be conducted to enhance the system's precision and expand its capabilities for calibration of additional vital sign parameters. By ensuring accurate calibration, healthcare professionals can rely on vital sign monitors for effective patient monitoring and diagnosis.]]>
<![CDATA[Utilization of Webcam Cameras as X-Ray Image Capture Based on kV Settings and Shutter Sensors ]]>
<![CDATA[Dwara, Ni Made Wagiswari]]>;
<![CDATA[Mak’ruf, Muhammad Ridha]]>;
<![CDATA[Indrato, Tri Bowo]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i3.180
<![CDATA[The end product of an x-ray image is often a sheet of film. The film must go through chemical processing in order to produce an image. To get around these issues, efforts were undertaken to create digital x-ray detectors utilizing far less expensive gadgets. The aim of this research is to present a study that explores the development of a digital X-ray imaging system using cost-effective sensors, assesses its image quality, and discusses the potential benefits of this technology for capturing X-rays.Utilizing sensors that try to determine the difference in the final image's quality as well as voltage variances. The system may present negative image findings from webcam camera captures that have already passed the image processing process with the Matrix Laboratory (MATLAB) Application, which is the study's main contribution. With a set mA of 25mA, a period of irradiation of 1 second, and a moderate intensity of illumination light, the measurement ranges employed are 60, 65, and 70 kV. Knowing the value of kv and optimal sensor settings based on image results is the study's goal. The measurement findings demonstrate that the Philip brand DR's picture results and those from the X-ray picture Capture Tool may be compared thanks to the MSE value of 34.8775 and the parameters Phototransistor BPT1331 at 70kV and 25mA. And the LDR, 66kV, 25mA configuration has the lowest MSE value at 61.7615. The study's findings suggest that the gadget can be used to record X-rays.]]>
<![CDATA[Antenatal Care Bed For Preeclamsi Early Detection Based on Web System ]]>
<![CDATA[Ramadhan, Fiqih Fahrur]]>;
<![CDATA[Pudji, Andjar]]>;
<![CDATA[Mak’ruf, Muhammad Ridha]]>;
<![CDATA[Misra, Shubhrojit]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i3.181
<![CDATA[One of the causes of the high maternal mortality rate is dominated by three factors, one of which is preeclampsia. Preeclampsia is a condition in which the mother experiences hypertension and changes in BMI (Body Mass Index) at the 20th week of gestation. Preeclampsia indications in pregnant women are related to examinations, namely Antenatal care (ANC). Antenatal care is one of the prenatal checks with certain standards. Pregnant women need extra antenatal supervision from health workers. Preeclampsia detection carried out in health care facilities is currently considered to be still not optimal so that there are still many cases of preeclampsia that are not handled properly. A web-based ANC test is one of the ways that services for pregnant women may be improved. To make NIBP and BMI data supplied and received by IoT media helpful for the diagnostic procedure, this study will evaluate them. Knowing the reaction of NIBP and BMI data provided and received over IoT medium is the contribution of this research. The MPX5050 sensor and Loadcell, whose output will be processed and presented on a web page, will be used in the technique to accomplish this purpose. Although the largest error value was -5.4 at the measurement point of 150 mmHg at diastole, it can be argued that the measurement findings for the NIBP parameter are plausible. Overall NIBP measures, however can be considered practicable and can be used to human measurements. Additionally, the weight parameter measurement data have an error value of 0.19328%. From this study, it can be inferred that transmitting IoT-based NIBP and BMI data has an impact on received lost data or delays. The findings from this study are expected to be developed in further research.]]>
<![CDATA[PID Temperature Control on Blood Warmer Equipped with Patient Temperature and Blood Temperature ]]>
<![CDATA[Santoso, Clarissa Grace]]>;
<![CDATA[Hamzah, Torib]]>;
<![CDATA[Syaifudin, Syaifudin]]>;
<![CDATA[Mujahid, Muhammad Umer Farooq]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i3.182
<![CDATA[Blood, being a sensitive biological fluid, can undergo cellular and biochemical changes when subjected to temperatures that are too high or too low. Consequently, administering blood that is not at an appropriate temperature can result in hemolysis (the destruction of red blood cells), clotting issues, and even patient harm. Therefore, ensuring that the temperature of transfused blood remains within a specific range is crucial for the success and safety of the procedure, The objective of the described project is to enhance the success and safety of blood transfusion procedures by implementing a temperature control system using various sensors and control techniques. The methodology employed in this project, DS18B20 Sensor This sensor is used to measure the temperature of the blood being transfused. It provides accurate temperature readings, which are crucial for maintaining optimal conditions. MLX90614 Sensor, This sensor is utilized to adjust the temperature of the transfused blood according to the recipient's body temperature. It ensures that the introduced blood is compatible with the patient's internal environment. PID Control: The Proportional-Integral-Derivative control technique is implemented to regulate the heater that maintains the temperature of the blood. The PID parameters (Kp, Ki, Kd) are tuned to achieve precise control and response. Fuzzy Control: Fuzzy logic control is also employed for temperature regulation. While PID control is known for its rapid response and stability, Fuzzy control is utilized to handle potential non-linearities and complex relationships in the system. PID and Fuzzy control techniques are evaluated and compared in terms of their effectiveness in regulating blood temperature during transfusion.This study uses the DS18B20 Sensor to control the heater with PID and Fuzzy controls, the MLX90614 Sensor to adjust the temperature according to the patient's body temperature and the Optocoupler Sensor as an indicator when fluids run out.]]>
