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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199 Documents
<![CDATA[Design and Development of Electricity Use Management System of Surabaya State Shipping Polytechnic Based on Decision Tree Algorithm ]]>
<![CDATA[Realdo, Adam Meredita]]>;
<![CDATA[Nugraha, Anggara Trisna]]>;
<![CDATA[Misra, Shubhrojit]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 3 No. 4 (2021): November ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v3i3.215
<![CDATA[Electrical energy has become a primary need in society, including in education. This is related to the number of electrical equipment used to support teaching and learning activities. However, this is not directly proportional to the students' awareness of the importance of saving energy. From this, the authors create a management system for electric power, which aims to save electricity consumption by limiting the use of electrical loads. In this system, the method used is a decision tree; the goal is to limit and set priorities for electrical loads. When three classes are ON simultaneously, there will be a reduction in the electrical load. There is a website for monitoring and changing the automatic or manual mode in this system. The manual mode is used to control the electrical load according to the status entered on the website. While the automatic mode regulates the use of electrical loads by controlling the ON or OFF conditions using a schedule that has been made, the website also monitors current, voltage, power, energy, and usage costs. The system has been tested with automatic and manual modes for monitoring data on the website. It has data updates every 10 minutes. The system has also been tested by scheduling using a decision tree and compared with scheduling without using a decision tree. From the test results for a day, it can be concluded that the system created is able to save electricity consumption. This is reinforced by a decrease in energy use of 1,17 kWh and a cost of Rp. 1.116]]>
<![CDATA[Peak Flow Meter with Measurement Analysis ]]>
<![CDATA[Anisa, Anisa]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 3 (2020): November ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i3.217
<![CDATA[The Peak flow meter is a device used to measure the amount of airflow in the human airway or often referred to as PFR (Peak Flow Rate). Peak Flow Rate (PFR) measurement is a simple and reliable way to detect airway obstruction. PFR measurement is a simple, non-invasive, fast and economic method to assess the strength and speed of expiration in L / min, through maximum expiration of capacity total lung. The results of peak flow data can illustrate early warning signs for an illness that in some cases may show a decrease in lung function 1-3 days before other respiratory symptoms become apparent. This module is designed using MPX5100GP sensor. This sensor has a pressure range of 0-100 Kpa. The Nature module is also equipped with data storage facilities using an SD Card so that the measurement data can be processed using Ms. Excel to find out graph data for further diagnostic purposes. The inspection results can be directly viewed on the display and also automatically stored in the SD Card storage that has been available. This module has the highest error rate of 4.41% and the lowest error value of 0.42% compared to the original device. From the data collection that has been done, it can be concluded that this module can be used for the inspection process.]]>
<![CDATA[Improving the Effectiveness of Automatic Pure Tone Audiometer with Audiogram and Patient Diagnosis ]]>
<![CDATA[Rahmawati, Aulia]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 3 (2020): November ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i3.218
<![CDATA[Conventional Audiometer testing using manual mode takes quite a long time for one patient, and the audiologist must accompany until the test is complete. The purpose of this research is to design a pure tone audiometer with an automatic mode using Arduino microcontrollers. Contributions from this research is a system of automatic running to improve health services. The Hughson Westlake method is used for automatic mode. The method is prepared in the Arduino software and uses the CD4066 digital switch to regulate the frequency and intensity given to the patient. As for the frequency generator using XR2206, the raised frequencies are 250, 500, 1000, 2000, 4000, 8000 Hz. Then the patient will press the interrupt button if listening to sound, and the result will be displayed to the Audiogram on Android. Patient diagnostic results can be seen when testing the entire frequency has been completed. At frequency 250 Hz obtained error value 0.13, at frequency 500 Hz obtained error value 4.37, at frequency 1000 Hz obtained error value 39.5, at the frequency of 2000 Hz obtained error value 24.67, at the frequency of 4000 Hz obtained error value 67.33. And at the frequency of 8000 Hz obtained error value 32.33. The results of this study showed that the highest error was 3.95% at 1000Hz frequency and the smallest error was 0.05% at 250Hz frequency. The results of this study can be implemented in conventional audiometer system to accelerate testing time to improve service and facilitate audiologist during hearing testing]]>
<![CDATA[Development Portable Spirometer using MPXV7002DP Sensor and TFT Display for Lung Disease Detection ]]>
<![CDATA[Kharis, Lizarazu Maulidil Li]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 3 (2020): November ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i3.220
<![CDATA[Chronic obstructive pulmonary disease (COPD) is a disease whose prevalence tends to increase annually, with the World Health Organization (WHO) data predicting in 2020 the disease is the cause of the third-highest mortality worldwide. The assessment of the recurrence of COPD patients is very important, as it will accelerate the decline of lung function and health status. The purpose of this research is to design a spirometer by utilizing the MPXV7002DP sensor and equipped with a graphical display as well as lung health status on the Nextion TFT LCD. A portable Spirometer design has been done using the MPXV7002DP pressure sensor out as a transducer with a display on the Nextion TFT LCD. The design aims to determine the health of lung function by knowing the volume of lung Forced Vital Capacity (FVC), Forced Expired Volume in one second (FEV1), and Vital Capacity (VC). The working principle of this tool is to process the pressure from the results of the user blowing to the sensor through a mouthpiece which is designed based on Venturimeter law, the data will be processed by the Arduino microcontroller 2560 to be displayed on the LCD TFT and Nextion stored in SD card memory. The result of module validation data against a Spirometer 3L calibrator Benchmarking tool was obtained 1.58% VC error. The value is still below the 5% error tolerance limit so that the VC parameters in the secure module is used]]>
<![CDATA[Utilization of Power Setting in Monopolar Electrosurgery Unit With Additional Blend Modes ]]>
<![CDATA[Setiawan, Muhammad Roni]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 3 (2020): November ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i3.221
<![CDATA[Electrosurgery unit has the purpose of damaging certain body tissues by heating the tissue. In this study there are several modes and also power selection. The contribution of this research is to design the power management and also the addition of several modes for the surgical process. Electrosurgery Unit involves the use of IC CMOS 4069 as a frequency generator. The frequency output is set at 250 KHz and then passed on to the pulse regulator circuit and controlled by using Arduino and then forwarded to the inverter circuit which functions to increase the voltage and output in the form of power. Modules are calibrated using ESU Analyzer. This module is equipped with a selection of LOW, MEDIUM, and HIGH power. And also there are some additional modes including Blend 1 and Blend 2. After the measurement is carried out, the voltage values obtained at the setting of low, medium high, on the inverter input with a value on Blend 1 mode low 80 V with an error of 0.84%, Medium 90 V with error 0.84%, High 104 V with an error of 0.81%, in Blend 2 mode low 84 V with an error of 0.83%, Medium 86 V with a error of 0.85%, High 105 V with an error of 0.81%, the Cutting mode is low 162 V with an error of 2.88%, medium 172 V with an error of 3.03%, High 192 V with an error of 2.86%. The measurement shows an error of less than 1% for Blend 1 and Blend 2 modes while cutting is less than 3%. The results of this study can be implemented in order to minimize errors due to lack of power settings and mode selection during surgery]]>
<![CDATA[Design Of Asthma Detection Devices Through Heart Rate and Oxygen Saturation ]]>
<![CDATA[Indriani, Selvi]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 3 (2020): November ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i3.223
<![CDATA[Respiratory problems can cause asthma, acute asthma attacks are very difficult to predict because they often occur suddenly and asthma can also cause death in sufferers because the breath can suddenly stop. The purpose of this research is to design an asthma detection device through indicators of heart rate and oxygen saturation. The contribution of this study is to categorize the patient's condition by looking at the value of the heartbeat and oxygen saturation so that when asthma occurs the message of a location will be sent. To measure heart rate and oxygen saturation, a Nellcor finger sensor is placed on the patient's index finger. The finger sensor enters the signal conditioning circuit, then sent to the microcontroller to be processed to produce a heart rate value and the percentage of oxygen saturation. The testing of this tool is done by comparing the module with a standard measuring instrument that produces the highest value of oxygen saturation error which is 1.715% and the largest value of heart rate error is 3.548%. The results showed that the device was appropriate to use, because in the Medical Devices Testing and Calibration Guidelines of the Ministry of Health of the Republic of Indonesia in 2001, the maximum limit in oxygen saturation error tolerance was 2%, and heart rate was 5%. The results of this study can be implemented in patients who have been diagnosed with asthma so that it can facilitate the family in monitoring the patient's condition]]>
<![CDATA[Automatic Blood Collection and Mixer in a Blood Transfusion System Equiped with Barrier Indicators ]]>
<![CDATA[Putra, Chandra Bimantara]]>;
<![CDATA[Ariswati, Her Gumiwang]]>;
<![CDATA[Sumber, Sumber]]>;
<![CDATA[Zahar, Muzni]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 2 (2020): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i2.225
<![CDATA[A blood collection monitor is a device used to measure and shake the blood bag during a blood transfusion so that the blood in the bag does not clot and is mixed with anticoagulant fluid in the bag properly. This study aims to design an automatic blood collection and mixer for the transfusion blood system. The advantage of the proposed design is accompanied by a safety system in the form of a barrier indicator that is connected to an alarm. The alarm served to give a warning to blood donors if there is an obstacle or there is no increase in volume as much as 20ml for 1 minute as recommended by the world blood bank association. This device can work with three different sizes of blood bags. In this study, a loadcell sensor is used to detect the amount of blood fluid that enters the bag. Furthermore, then it is converted into milliliter volume. In order to collect the blood, a shaker is drove using a motor controlled by Arduino microcontroller. From the measurement, for the entire size of the blood bag, we found that the deviation is 0, UA is 0, and the average error is 0. Thus, it can be concluded that this device can be used properly. In the future, it can be developed a blood infusion with the flowrate measurement to determine the speed of blood during donation]]>
<![CDATA[A Low Cost Negative Pressure Wound Therapy Based on Arduino ]]>
<![CDATA[Fahriansyah P, Fikri]]>;
<![CDATA[Luthfiyah, Sari]]>;
<![CDATA[Rahmawati, Triana]]>;
<![CDATA[Ahniar, Nur Hasanah]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 2 (2020): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i2.226
<![CDATA[One of the causes of increasing diabetes mellitus is irregular diet, lifestyle, and exercise. This disease can cause complications, including susceptibility to infection, so that it develops into diabetic ulcers and can lead to amputations. The purpose of this study is to design a low-cost device used to treat diabetic ulcers. The contribution of this study is that the system can help remove fluid from the wound with controlled suction pressure so that it can facilitate the healing process faster. This device is called as negative pressure wound therapy (NPWT) device, which works based on negative pressure from the vacuum motor by utilizing MPXV4115VC6U and MPXV5050VC6T1 pressure sensors at a pressure limit of 0 to -350 mmHg. Arduino microcontroller was used to process the data from the sensor. Further, the process data will then be displayed on the liquid crystal display (LCD) for user communication. The MPX4115VC6U sensor produces a pressure of -55.97 mmHg when setting -50 mmHg, and the resulting output is 3.32 volts, while the MPXV5050VC6T1 sensor produces a pressure of 51.18 mmHg at a setting of 50 mmHg. The resulting output is 3.18 volts; from the above data, it can be seen that the MPX5050VC6TI sensor has a smaller error.]]>
<![CDATA[Development of Measuring Device for Non-Invasive Blood Sugar Levels Using Photodiode Sensor ]]>
<![CDATA[Dwi S, Frendi Agung]]>;
<![CDATA[Utomo, Bedjo]]>;
<![CDATA[Sumber, Sumber]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 2 (2020): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i2.228
<![CDATA[Diabetes mellitus is one of the deadliest diseases faced by Indonesians. To measure blood sugar levels, the most widely used tool is an invasive tool, namely by injuring the patient's body. Techniques like this make people reluctant to measure glucose levels in their blood regularly. Therefore, this research aims to design and build a non-invasive blood sugar measuring device using a photodiode sensor. So that this tool can be used by all groups, both medical and non-medical personnel to measure blood sugar non-invasively. In this study, blood was drawn from several patients with Miletus diabetes and carried out direct blood measurements using a photodiode sensor. The results obtained from this study are that there is an error value in the voltage measurement circuit with the calculation of the resistance value to obtain the voltage value. The error value obtained is 5%, the linear regression value is 0.996. From the measurement results, it can be concluded that the photodiode sensor can be used to measure blood sugar non-invasively]]>
<![CDATA[Simple and Low Cost Design of Infusion Device Analyzer Based on Arduino ]]>
<![CDATA[Jannah, Nikmatul]]>;
<![CDATA[Syaifudin, Syaifudin]]>;
<![CDATA[Soetjiatie, Liliek]]>;
<![CDATA[Ali, Muhammad Irfan]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 2 (2020): August ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i2.229
<![CDATA[In the medical world, patient safety is a top priority. The number of workloads and frequency of use in the long term will affect the accuracy and precision of the equipment. Therefore calibration is needed, namely the measurement activities to determine the truth of the appointment value of measuring instruments and measuring materials based on the standards of the Minister of Health Regulation No. 54/2015. The purpose of this study is to design an infusion device analyzer to measure the flowrate parameter using the Arduino microcontroller. The main advantage of this study is that the system can display three calibration results in one measurement at the same setting. The results of the calibration will determine the feasibility of an infusion pump or a syringe pump. This study uses the flow rate formula, which is applied to the water level system to obtain the calibration results. The infrared photodiode sensor will detect the flow of water in the chamber that comes from the infusion or syringe pump. Furthermore, the sensor output will be processed by the microcontroller, and the reading results are displayed on the liquid crystal display. The average measurement at a setting of 10 ml/hour is 9.36 ml/hour, at a setting of 50 ml/hour is 46.64 ml/hour, and at a setting of 100 ml/hour is 96.04 ml/hour. Based on available data, this tool has an average error value of 5.69%, where the value exceeds the tolerance limit allowed by ECRI, which is ± 5%]]>
