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All Journal Frontiers in Community Service and Empowerment Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Ariswati, Her Gumiwang
Unknown Affiliation
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Health Professions Materials Science & Nanotechnology Nursing Other

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Application of the Spirometer and Oximeter Telemedicine Smartphone System in Lung Health Examination of Fish Smoking Workers in the Kenjeran Community Health Center working area Ariswati, Her Gumiwang; Hari Wisana, I Dewa Gede; Luthfiyah, Sari; utomo, bedjo
Frontiers in Community Service and Empowerment Vol. 4 No. 2 (2025): June
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v4i2.80

Abstract

The Community Service Program, in conjunction with the PKM scheme, is implemented through synergistic collaboration between the Surabaya Ministry of Health Polytechnic and the Surabaya City Health Service, focusing on community independence through counseling and assistance, particularly in the use of tools. Implementation of the Use of Spirometers and Oximeters Telemedicine Smart Phone System in Lung Health Examinations -Lungs of fish smoking workers in the Kenjeran Community Health Center work area. In connection with the increase in patients with cases of respiratory problems in the Kenjeran Community Health Center area, Surabaya City, as well as cases of respiratory problems in post-COVID-19 patients, which has resulted in a lack of treatment for these patients due to limited health personnel and no monitoring equipment. insufficient, so that the health service system for patients is disrupted. The use of a spirometer with a telemedicine smartphone system is expected to help people in Indonesia, especially in the Surabaya city area, to conduct early examinations independently and provide this information to medical personnel if any readings fall outside the specified parameters. This activity is an application of research following the road map (Road map Research), which has been carried out starting in 2019 to design an Apnea monitor to detect respiration rate in babies and adults using Piezoelectric sensors. Until 2024, it has been developed with a spirometer and oximeter with a telemedicine smart phone system and has been published in the journal IJEEMI, 2024, with the title Design and Development of an IoT-based Pulmonary Function and Oxygen Saturation Measurement Device (Pulmonary Function Analysis). In this activity, 21 fish smoking workers in the Kenjeran Community Health Center work area were examined using a spirometer and an oximeter smartphone telemedicine system carried out by the Team. Resulted in lung function measurements with FEV1/FVC ratio values, 86% normal and 14% restrictive
System Motor Gearbox Control For Increase Accuracy Angle On CPM Elbow Tool PID Method Kurniawan, Desi Dwi; Ariswati, Her Gumiwang; Lamidi; Sumber
Jurnal Teknokes Vol. 18 No. 1 (2025): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

Continuous Passive Motion (CPM) is a rehabilitation tool designed to help joint recovery after surgery by passively moving the joint within a certain range of motion. Previous studies have used the ATmega8535 microcontroller with a PWM system. In this study, a control system was developed using Proportional-Integral-Derivative (PID) to improve the angular accuracy of the CPM tool specifically for the elbow joint. The implementation of PID aims to control the gearbox motor to achieve angles of 45°, 90° and 130° which drive the CPM tool so that it can operate with high accuracy and adjust the angle according to the desired therapy settings. This tool using Encoder sensor to detect corner movement joints in real-time. The Arduino Uno microcontroller controls the motors based on feedback from the sensors and optimizes movement through PID control . Research results show that PID system can increase accuracy corner with a low average error . In addition , the system is also equipped with with measurement current using the ACS712 sensor for ensure stability Power during operation . Result of study This can read 45°, 90° and 130° angles with a good level of accuracy , besides it is also capable operated with speed of 40°/ min , 90°/ min , 150°/ min , 210°/ min and 270°/ min . In the measurement readings on the compared devices with Goniometer there is difference error at 45° angle is 5°, 90° angle is 1° and 130° angle is 5°. for measurement current on the device the obtained stable value​ 2.5mA.Research This succeed reach optimization control angle on the CPM tool with level good accuracy , so that can support the rehabilitation process patient with more effective and efficient .
Analysis Infinite Impulse Response Filter for Reducing Motion Artifacts in Heart Rate Signals Based on Photoplethysmography Fadillah, Wa Ode Nurul; Ariswati, Her Gumiwang; Caesarendra, Wahyu
Jurnal Teknokes Vol. 17 No. 3 (2024): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

The increasing prevalence of motion artifacts (MA) in photoplethysmography (PPG) signals poses significantchallenges for accurate heart rate monitoring, particularly in dynamic environments. This study addresses the problem of MAinterference in PPG signals, which can lead to erroneous heart rate readings and compromised patient monitoring. To mitigatethis issue, we employed an Infinite Impulse Response (IIR) filter to enhance the quality of PPG signals by effectively reducingthe impact of motion artifacts. The methodology involved collecting PPG signals from a sample of participants during variousphysical activities. The raw signals were subjected to both filtering and non-filtering processes using MATLAB, allowing fora comparative analysis of the signal quality. The filtering process was designed to suppress unwanted frequencies associatedwith motion while preserving the physiological signals of interest. The performance of the IIR filter was evaluated based onthe Signal-to-Noise Ratio (SNR) and the accuracy of heart rate extraction. Results indicated a significant improvement insignal quality post-filtering, with the SNR increasing from an average of 5.2 dB to 15.8 dB, demonstrating a substantialenhancement in the clarity of the PPG signals. Furthermore, the heart rate extraction accuracy improved from 78% to 95%after applying the IIR filter, showcasing the effectiveness of the proposed method in real-time applications. In conclusion, theapplication of the IIR filter in processing PPG signals effectively reduces motion artifacts, leading to more accurate heart ratemonitoring. This research highlights the potential for improved patient outcomes in clinical settings and suggests furtherexploration of advanced filtering techniques to enhance the reliability of wearable health monitoring devices. The findingsunderscore the importance of addressing motion artifacts in the development of robust biomedical sensing technologies.
Design of Ambulatory Blood Pressure Monitoring for IOT-Based Hypertension Patients Sari, Alvy Noorlatifa; C. N, Priyambada; Mak’ruf, Muhammad Ridha; Ariswati, Her Gumiwang; T.P., Moch. Prastawa Assalim; Maghfiroh, Anita Miftahul
Jurnal Teknokes Vol. 17 No. 1 (2024): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

Ambulatory blood pressure monitoring or ABPM is a non-invasive method to determine the average blood pressure for at least 24 hours, not only when medical checkup. ABPM is often found in cardiac examinations and monitoring of catlab preoperative patients. This study aims to analyze the performance of the ABPM tool that can measure blood pressure continuously with a specified time interval connected to IoT so that can make it easier to get test results. The contribution of this research is a 24 hour monitoring system with delivery via IoT. The experiment was conducted 10 times with Prosim comparison at each point to assess the level of reading accuracy and effectiveness of IoT viewers. At 120/80 mmHg systole accuracy 98.42%, diastole 97.25%. While at 150/100 mmHg systole accuracy is 99.67%, Diastole is 98.1%. At 200/160 mmHg point Systole accuracy 98.35%, Diastole 98.25%. The SPSS test states that the reading data collection is acceptable and has an average commensurate with the test. The difference in viewer time on the TFT and IoT layers is 3.8 seconds and the test data value is 0% loss. The results from making this module, concluding by utilizing the sensor MPX5050 obtained sufficient accuracy, the use of ESP32 as a microcontroller processes the sensor readings which will be converted into systole-diastole values and displays on IoT so that it can slightly help analyze the patient's condition, and this module can read the simulator tool well at pressures of 120/80 mmHg, 150/100 mmHg, and 200/160 mmHg. The device showed good accuracy and reliability in measuring blood pressure at different levels compared to a vital signs simulator. The device can be used for 24-hour monitoring of hypertension patients and provide useful information for diagnosis and treatment.
Spo2 Analysis on Development of IoT-Based Lung Function and Spo2 Measuring Device Shavira, Nadya; Ariswati, Her Gumiwang; Hamzah, Torib
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 6 No. 1 (2024): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/dx15cf29

Abstract

Pulmonary dysfunction is a widespread issue, particularly in developing nations. It encompasses restrictive, obstructive, and mixed pulmonary function disorders that lead to a decrease in vital lung capacity, an increase in functional residual capacity, and a decline in blood oxygen concentration and saturation. This study aims to combine oximetry and spirometry into a single device, using the Internet of Things (IoT) technology to display results via a smartphone app. The focus is on analyzing oxygen saturation, with normal levels ranging from 96% to 100% in adults, alongside a heart rate of 60-100 beats per minute. The MAX30102 sensor measures oxygen saturation, and the Arduino Pro Mini and D1 Mini ESP32 microcontrollers process data. The Android-based app, developed using Kodular platform, integrates a MySQL database and connects to the device module via Wi-Fi. Ten respondents underwent five measurements, revealing an average error of ±0.88% for oxygen saturation (SpO2) and ±2.82% for heart rate measurements. The average data loss rate during transmission was ±0.66% for SpO2 and ±0.89% for heart rate. These findings highlight existing errors in the module. The research aims to facilitate remote health monitoring for healthcare professionals, improving accessibility and healthcare provision
Analysis of the Accuracy of Thermocouple Sensors at the Incubator Calibrator Laboratory Equipped with Internet of Thing-Based Data Storage Prastyadi, Candra; Irianto, Bambang Guruh; Ariswati, Her Gumiwang; Titisari, Dyah; Nyatte, Steyve; Misra, Shubhrojit
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 4 (2022): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i4.158

Abstract

Laboratory incubator is a tool used to incubate a breed. This incubator provides optimum temperature conditions for microorganisms to grow. It has a temperature regulator so that the temperature can be adjusted according to the breed incarnated. In this case, incubator worked like the hot-dry system of ovens. The purpose of this study was to conduct testing and analysis on the accuracy of thermocouple sensors using incubator media in laboratory incubator calibrator tools. The contribution of the research was to know the level of accuracy of the right sensor for sensing the temperature in the laboratory incubator. The main designed tool consisted of 8 MAX6675 standards, 8 K thermocouple, Arduino-Mega, and SD Card Standards. The temperature of the incubator device, in this case, was measured by the K thermocouple sensor. The sensor system had 8 channels that serve to measure the temperature at each incubator point. The temperature data were further stored in the SD card to analyze the data and the data can be processed into the form of a graphic. Benchmarking was done using a data logger temperature tool. This was done to make the designed tool results under the standards tool. After comparing between the tool designed and the standard tool obtained the largest error value of 3.98% in channel T6 at the temperature of 35°C with ordinary incubator media, while the smallest error in ordinary incubator media was at the point T6 at temperature of 37°C by 0.06%. Meanwhile, in the fan incubator, at the temperature of 35oC, had the largest error of 2.98%, while the smallest error was 0.86%. The conclusion of this study is that the tool designed could work well in measuring the temperature of the incubator, as well as the system for storing the data reading using the SD card.
Automatic Blood Collection and Mixer in a Blood Transfusion System Equiped with Barrier Indicators Putra, Chandra Bimantara; Ariswati, Her Gumiwang; Sumber, Sumber; Zahar, Muzni
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 2 (2020): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v2i2.225

Abstract

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
Automatic Dehydration Level Detection Devices Damayanti, Diana Dwi; Ariswati, Her Gumiwang; Wisana, I Dewa Gede; Winarno, Hendra
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 2 (2020): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v2i2.230

Abstract

Dehydration is a condition that occurs when the loss of body fluids exceeds the amount entered in the body so that it can disrupt the balance of minerals in body fluids. Most people do not feel thirsty until finally, they experience a period of severe dehydration, which can cause physical, cognitive, fatigue; if not corrected immediately can cause death. The purpose of this study is to design a dehydration and urine pH detection devices automatically. The contribution of this study is that this device is equipped with urine pH measurement and automatic body fluid calculation. This device is able to detect urine color levels, read urine pH values ​​, and provide information on body fluids needed to treat the patient's condition when detected. The sensors used in this device are color sensor TCS34725, pH meter sensor module SKU-016 and DS18B20 temperature sensor, the calculation of the amount of fluid that must be entered automatically from the patient's body weight input. The programming uses Arduino Nano as the main controller with a 128x64 graphic LCD. From the testing that has been done, it is known that the percentage error in the module is 3.5%, which means that it is still in the tolerance value because the tolerance limit is 5%, for the sensitivity test results get a value of 60% and specificity of 70%. Thus, it shows that the device is feasible and can be implemented as a dehydration detection device that is carried out independently at home
Electrocardiogram 12 Lead in Transverse Plane Based on Computer Octantri, YB. Rischa Via; Ariswati, Her Gumiwang; Syaifudin, Syaifudin
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 2 (2019): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i2.253

Abstract

An electrocardiogram (ECG) is a graph produced by an electrocardiograph to detect heart abnormalities by measuring the electrical activity produced by the heart. Heart disease currently represents 16% of total deaths from all causes. Based on data from the Basic Health Research (Riskesdas) in 2018, the incidence of heart disease is increasing from year to year. At least 15 out of 1000 people, or about 2,784,064 individuals in Indonesia suffer from heart disease. The purpose of this research is to make a 12 lead electrocardiogram (ECG) PC based with storage (transverse plane) to make it easier for users to see the condition of heart signals. The contribution of this research is that devices can display heart signals on a computer and the results can be saved in the form of images and excel. This study used a pre-experimental method. The ECG signal is obtained from the phantom which is connected using an ECG cable. The results of the leads are in the form of heart signals and BPM which will be processed on the microcontroller and then the results will be displayed on a computer and can be saved. Measurement of the BPM value using Phantom on V2 obtained an error value of 0.25% for 120 BPM, 0.125% for 240 BPM. The maximum limit in the BPM error tolerance is ±5%. The results showed that the system as a whole worked well. The shape of the V2 signal generated by the module is the same as the manufacturer's ECG.
Use Chest Vibrator to Prevent Pulmonary Infection in Patients with COPD Luthfiyah, Sari; Utomo, Bedjo; Ariswati, Her Gumiwang
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 2 (2019): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i2.255

Abstract

Chest infection is an infection that affects your lungs, either in the major respiratory tract (bronchitis) or in small air sacs (pneumonia). There is an accumulation of pus and liquid (mucus), and the respiratory tract becomes swollen, making breathing difficult. Chronic obstructive pulmonary disease (COPD) is a serious cause of death globally. This disease is characterized by episodes of acute exacerbations or aggravation that are superimposed upon a gradual decrease in pulmonary function. The study developed a device for vibratory techniques in chest physiotherapy. Vibration is a pressure applied to the chest during exhalation to move the secret into the large respiratory tract. Measurements of the mechanical impedance of the respiratory system in frequencies from about 5 Hz to about 70 Hz in the higher frequency range should be evaluated on the basis of the lung model. In this device, using frequencies that are often used in the field: 30, 40, 50 Hz and a timer of 3 to 5 minutes. This device uses a 12V DC motor as a vibration medium that will be connected to the engine inside the paddle. It uses IC NE 555 as an important component of the conductor circuit. This module uses an LCD screen of 16x2 characters as screen. The result was found that by using IC NE 555 as an important driver in showing acceptable system accuracy, only a minimum error value of ± 0.008% and a maximum error value of ± 0.02%. The advantage of this module is that it is equipped with a 3-5 minutes timer so that it can provide efficient therapy according to the time needed and is equipped with an LCD display to make it easier to observe the time
Co-Authors Anita Miftahul Maghfiroh Bambang Guruh Irianto C. N, Priyambada Damayanti, Diana Dwi Dyah Titisari, Dyah Fadillah, Wa Ode Nurul Hamzah, Torib I Dewa Gede Hari Wisana Kurniawan, Desi Dwi Lamidi, Lamidi Luthfiyah, Sari Mak’ruf, Muhammad Ridha Misra, Shubhrojit Nyatte, Steyve Octantri, YB. Rischa Via Prastyadi, Candra Putra, Chandra Bimantara Sari, Alvy Noorlatifa Shavira, Nadya Sumber Sumber, Sumber Syaifudin Syaifudin, Syaifudin T.P., Moch. Prastawa Assalim Utomo, Bedjo Wahyu Caesarendra Winarno, Hendra Wisana, I Dewa Gede Zahar, Muzni