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Triwiyanto
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Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya Jl. Pucang Jajar Timur No. 10, Surabaya
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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 6 Documents
 1 
Search results for , issue "Vol 2 No 3 (2020): November" : 6 Documents clear
Design Of Asthma Detection Devices Through Heart Rate and Oxygen Saturation Selvi Indriani; Endang Dian Setyoningsih; Dyah Titisari; Arif Joko Wuryanto
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 3 (2020): November
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.v2i3.6

Abstract

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.
Utilization of Power Setting in Monopolar Electrosurgery Unit With Additional Blend Modes Muhammad Roni Setiawan; Tri Bowo Indrato; Triana Rahmawati
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 3 (2020): November
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.v2i3.4

Abstract

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.
Improving the Effectiveness of Automatic Pure Tone Audiometer with Audiogram and Patient Diagnosis Aulia Rahmawati; I Dewa Gede Hari Wisana; Endang Dian Setioningsih; Sari Luthfiyah; Bedjo Utomo
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 3 (2020): November
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.v2i3.2

Abstract

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.
Development Portable Spirometer using MPXV7002DP Sensor and TFT Display for Lung Disease Detection. Lizarazu Maulidil Li Kharis; Andjar Pudji; Priyambada Cahya Nugraha
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 3 (2020): November
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.v2i3.3

Abstract

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.
Peak Flow Meter with Measurement Analysis Anisa Anisa; Torib Hamzah; Muhammad Ridha Mak'ruf
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 3 (2020): November
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.v2i3.1

Abstract

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.
An Improved Measurement Accuracy of Fetal Heart Rate using Digital Filter Riska Setyawati; Priyambada Cahya Nugraha; Her Gumiwang Ariswati; Nur Hasanah Ahniar
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 3 (2020): November
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.v2i3.5

Abstract

Non stress test, there are several parameters including the fetal Doppler. fetal doppler is used to detect the fetal heart in the womb. It can be seen that the fetal heart rate in the womb under normal circumstances is in the range of 120-140 beats per minute. Noise on doppler fetal output can affect fetal heart rate readings. the purpose of this research is to design a non stress test device that is displayed on nextion. The contribution of this research is the creation of a portable device with nextion display and using analog and digital filters that can be used as noise removal. the method used to eliminate noise by using a bandpass type filter design frequency 20-40 Hz by designing a large frequency suppression outside the cutoff so that noise is not counted as a fetal heart rate. to detect the fetal heart rate in the mother's womb using a piezoelectric sensor. then the fetal heart rate obtained is filtered and the data is processed using Arduino after the results of processing the filter between analog bandpass and digital bandpass type Chebyshev method I then the results of the tool will be displayed on nextion. The results showed that measurements on analog filter modules that have been made produce an error value of 8.62% and digital filters that have been made produce an error value of 12.97%. The results of this study can be applied to fetal heart rate gauges portable at a health clinic.

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