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Jurnal Teknokes
Published by Polilteknik Kesehatan Kemenkes Surabaya
ISSN : 19077904     EISSN : 24078964     DOI : https://doi.org/10.35882/teknokes
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
The JURNAL TEKNOKES is a peer-reviewed periodical scientific journal aimed at publishing research results of the medical engineering areas. The Journal is published by the Department of Medical Electronics Technology, Health Polytechnic of Surabaya, Ministry of Health Indonesia. The role of the Journal is to facilitate contacts between research centers and the industry. The aspiration of the Editors is to publish high-quality scientific professional papers presenting works of significant scientific teams, experienced and well-established authors as well as postgraduate students and beginning researchers. All articles are subject to anonymous review processes by at least two independent expert reviewers prior to publishing on the Jurnal Teknokes website. This journal focuses on the development of the: (1) Medical Electronics Technology and Biomedical Engineering; (2) Medical Laboratory Technology; (3) Environmental Health, Engineering and Technology; (4) Health Information System and Technology.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 101 Documents
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Literature Review: Management of Depression with Physical Exercise on Changes in Blood Sugar Levels in the Family of Diabetes Mellitus Adinda Juwita Sari; Fitriany Fitriany; Siti Zahara Nasution
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.531

Abstract

The increase in blood sugar in type 2 diabetes mellitus is a big problem because it can have physical and psychological impacts. Type 2 diabetes mellitus can cause lifestyle changes, physical weakness, vision problems, and potentially death. All the physical issues that arise indeed have the opportunity to cause emotional problems and depression in people with diabetes mellitus. This review aims to identify research articles on managing depression with physical exercise on changes in blood sugar levels in families with diabetes mellitus. The methods used in compiling this literature review are (1) identifying variables in the literature, (2) identifying relevant literature based on topics and titles, (3) obtaining literature in complete reading form, and (4) analyzing the results of various variables in the literature. A literature search was attempted on several databases, such as US Proquest, ScienceDirect, Pubmed, and Google Scholar. The results of this review were obtained from a total of 10 evidence bases, found one qualitative study, two quasi-experiments, four cross-sectionals, 2 Systematic Literature Reviews (SLRs) and meta-analyses, and one randomized controlled trial (RCTs). The conclusions based on this review explain that research on the application of physics exercise for families with diabetes mellitus who are depressed with blood sugar levels above normal has decreased, which means it has a significant effect.
Monitoring the Occurrence of Alarms in IoT-Based HFNC With Analysis of Signal Increase Before Blockages Error Occurs (Pressure Parameters) Dwi Widyaningtyas; Andjar Pudji; Muhammad Ridha Mak'ruf
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.456

Abstract

The workload of medical personnel in handling COVID-19 is quite high due to limited personnel so that medical personnel who are resting are assigned the task of always being ready to carry out clinical monitoring of the use of HFNC. HFNC (High flow Nasal Cannula) is a method of giving supplemental oxygen to patients experiencing acute respiratory failure. The use of HFNC in recent years is highly recommended as a solution to provide additional oxygen to patients. The administration of HFNC to COVID-19 patients begins in the flow range of 30-50 LPM with an oxygen concentration of 92%. This study aims to analyze the error in HFNC which causes a decrease in the flow of HFNC. This study used data collection 10 times by modifying the HFNC output interval. The independent variable in this study is the HFNC error condition. While the dependent variable in this study is the pressure data read by the pressure sensor. In this study using a temperature setting of 34oC with a flow setting of 30-60 LPM. At the flow setting of 30 LPM, the average pressure value before error is 0, in process 2 and after error 0, where the IoT notification and the condition of the tool show a Blockage error. At the flow setting of 30 LPM, the average pressure value before error is 0, in process 1 and after error 0, where the IoT notification and the condition of the tool show a leaking error. In this study, the average error in the conditions of Blokage 3.8 and Leaking 1.5 The shortcomings in this study are can be a pressure sensor which has more sensitive results and also a pressure sensor that has a medical grade standard.
Design And Development Of Spo2, Bpm, And Body Temperature For Monitoring Patient Conditions In Iot-Based Special Isolation Rooms Dyah Purwitosari; Bambang Guruh Irianto; Triwiyanto Triwiyanto; Phuoc-Hai Huynh
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.462

Abstract

The use of batteries as the main power source in portable equipment systems has several drawbacks, including the percentage of battery power that must be monitored so that the system is always active. Analysis of battery power efficiency is needed to determine the resistance of portable systems. This study makes a portable system for monitoring the condition of patients with infectious diseases in a special isolation room that can measure heart rate, body temperature, and oxygen saturation. The design of this device uses a 2200mAH battery as a power source on the IC TTGO ESP32 to manage data and display measurement results, the MAX30102 sensor to measure oxygen saturation and heart rate, and the MCP9808 sensor to measure body temperature. The design of this device has been tested on respondents aged 25-40 years by placing the sensor on the fingertip then the measurement results are compared with a standard device that has been calibrated. The measurement results show that the device is feasible to use because the measurement error value is ±5%. Testing the efficiency of battery power in normal mode and save mode. In normal mode, the current used in the device is 154.9 mA, while the save mode by not activating the LCD TTGO ESP32 requires a current of 126.7 mA. The results of the analysis show that using the battery in normal mode can activate the device for up to ±14 hours and in save mode for ±17 hours. This designed method is useful for measuring power efficiency in different device modes and the user knows the battery charging time at regular intervals.
Design and Build a Ventalitor Tester With PIP and PIF Waveform Displays As Validation (PIP) Sandhi Dhanindra; Her Gumiwang Ariswati; Dyah Titisari; Mansour Asghari
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.473

Abstract

PIP (Peak Inspiratory Pressure) is the highest level of pressure exerted into the lungs by the ventilator during inhalation. This PIP parameter is important for monitoring because inappropriate PIP values ​​can lead to fatal errors in patients. PIP should be kept below 20 to 25 cm H2O each time ventilation. This PIP control can be a value as well as a waveform. This waveform display is also used to validate the ventilator output. Checking the output on this ventilator is used using a ventilator tester. The purpose of this research is to get the accuracy and precision of the sensor to display the waveform and PIP value of the ventilator output. The procedure of this research is to use MPX5010GP to detect the pressure value on the ventilator and then display the value and waveform of the PIP. From this study, the results of the measurement of accuracy and precision from the MPX5010 sensor to detect PIP and display a waveform graph are said to be good. This is because the highest error value is ±6.27% at the 15 CmH20 setting. While the value of the largest standard deviation at the 15 CmH20 setting is 0.837 and the greatest uncertainty value at the 15 CmH20 setting is 0.033. Then, the largest correction value is found in the 25 CmH20 setting, which is 1.56. PIF monitoring is carried out to maximize service to patients and maximize ventilator care.
APPLICATION OF DIGITAL INFINITE IMPULSE RESPONSE FILTER TO REDUCE POWER-LINE INTERFERENCE NOISE ON ECG 12 LEAD (TRANSVERSAL TEACHING) Denis Kurniar Wicaksono
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.474

Abstract

The development of cardiac diagnostic tools continues to grow. As we know that heart disease has the highest mortality rate and further action is needed against the disease. The tool commonly used to detect heart disease is the EKG. The use of analog filters is starting to be abandoned because in its use it can only use a limited order and will have an impact on the cost factor and circuit size, the use of analog filters has been replaced by digital filters. Digital filter technique is the most suitable technique to help improve the quality of the ECG signal. The purpose of this study is to reduce measurement errors in reading the ECG measurement results by reducing noise in the ECG signal. The contribution of this research is to know the configuration of the butterworth digital filter which is effective for reducing noise in the use of 12 Lead ECG equipment. This was achieved by making a 12 Lead ECG device using the AD8232 sensor. In this study, the output of AD8232 will be processed with a digital Butterworth filter on the microcontroller and Delphi which will then be displayed on the Delphi application using a Personal Computer and a comparative analysis of the results will be carried out using the Matlab application. With this research, it is hoped that the filter arrangement with the appropriate order for the electrocardiogram device will be obtained. From this study, it can be concluded that the 12-lead electrocardiogram in this study was designed using the AD8232 module and a Butterworth digital filter displayed on a PC using the Delphi7 application to facilitate the filter analysis process used. The results of this study are expected to reduce diagnostic errors in reading the results of ECG measurements and can also be used as a reference for further research to be better.
Implementation of Gyro Accelerometer Sensor for Measuring Respiration Based on Inhale And Delphi Based Exhale Egan Graha Utama; Triwiyanto Triwiyanto; Triana Rahmawati; Vugar Abdullayev; Mohanad Abdulhamid
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.477

Abstract

Gyro accelerometer sensor which is a sensor that can detect changes in position and speed. Many studies use the gyro accelerometer sensor as a sensor in respiration. This study aims to examine and analyze changes in the position of inhale and exhale in 3 positions of the gyro accelerometer sensor which is placed on the abdomen and chest to determine the value of respiration. This study displays 3 signals and respiration values detected by the gyro accelerometer sensor and then displayed using Delphi. The independent variable in this study is the value of respiration, while the dependent variable is the output of the gyro accelerometer sensor. The biggest error value from the module measurement is when the sensor position 2 is sitting with an error value of 1.11%. While the error value is greatest when the sensor position 3 is in a sleep state with an error value of 3.66%. The conclusion from these results is that the module has a relative error (error value) that is still within the allowable tolerance limit, which is ±5%. This study also shows the effect of the gyro accelerometer sensor output value on the placement of the 3 sensor positions placed on the abdomen and chest. This study has limitations, namely when the respondent moves or walks in a place where there is still noise and the signal on the Delphi display is lost.
Design and construction of apnea and heart rate monitoring tools with abnormal condition notifications to prevent Sudden Infant Death Syndrome ( SIDS ) based on IOT ( Lost Data Analysis ) erick dwi ananta
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.485

Abstract

ABSTRACT Sudden infant death syndrome or SIDS is the sudden death of a healthy infant under 1 year of age that occurs without any symptoms. This can be triggered by various factors, from the baby's sleeping position to the baby's physical condition that has not yet reached a certain stage of development. Checking the baby's body temperature and heart rate is a very important element to monitor the baby's condition and to prevent febrile seizures that cause epilepsy and decrease or increase the BPM value of the baby to ensure the baby is still beating his heart. Therefore, we need a device that can monitor the baby's body temperature and heart rate in real time and an efficient mechanism. In this study realtime monitoring with vital parameters, namely Respiration Rate using Piezo Electric sensors and heart rate monitoring using MAX30100 sensors, and ESP 32. The results of Heart Rate measurements have the largest difference value with comparison tools of 28,74% and smallest 0,00%. There is Loss of Respiration Rate Measurement data because Incorrect sensor placement. The output results can then be monitored through the website by doctors and other health workers and telegram notifications if conditions are not normal.
Analysis Of Early Warning System In Cold Room Vaccine Storage With Iot System Aprilina Gayuh Arniningtyas; Andjar Pudji; Endro Yulianto; Latafat Mikayilzade Ali
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.487

Abstract

Cold room as a cold room for vaccine storage is an environment with a controlled temperature used to maintain and distribute vaccines in optimal conditions. To maintain the vaccine, it is necessary to pay attention to routine temperature monitoring, temperature data management, and prevention of situations that endanger the vaccine. The results of this review are expected to be a reference for researchers and readers with the development of research using the DS B1820 temperature sensor which will analyze the results of the data logger output and linearity at sensitive locations Cold Room with LCD output and equipped with an IoT system web display on a PC for monitoring and alarm. and notification via telegram when there is a change in temperature approaching and outside the range of 2 - 8 ° C so that this can make it easier for officers to monitor the temperature and quality of the vaccine. In the results of the study, temperature graphs and temperature data can be displayed which are recorded in minutes. Temperature measurement with standard tools produces the largest difference of 0.83. The lowest temperature was 2.06℃ and the highest temperature was 8.31℃ as well as telegram notification of early warning (2.58℃), evacuation vaccine (2.31℃), and exposed vaccine (8.6℃).
Development of Monitoring Parameters of Oxygen Concentration, Oxygen Flow Rate, Temperature and Humidity in IoT-Based CPAP Bubble (Oxygen and Humidity Concentration) Ratna Ika Puspitasari; DYAH TITISARI; Lamidi Lamidi
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.498

Abstract

Bubble Continuous Positive Airway Pressure (CPAP) is a device to maintain positive pressure in the neonate's airway as long as it can breathe spontaneously. FiO2 percentage, flowmeter, humidifier mode, PEEP depth are parameters that must be set for oxygen therapy using a cpap bubble device, but this tool has minimal monitoring. It has been developed by several previous researchers but has several shortcomings, namely there is no digital result display, no measurement of oxygen rate, oxygen concentration, temperature and humidity. The purpose of this research is to design a parameter monitoring tool on the cpap bubble so that it can monitor the baby's condition in real time and can be used as an indicator of achieving the desired concentration setting. The contribution in this study is a monitoring system or remote monitoring so that nurses and doctors can monitor the baby's condition even though they are not accompanying him. In order to facilitate the process of monitoring and diagnosing patients, a parameter monitoring tool on the cpap bubble based on the Internet of Things is made with notifications on telegrams so that patients can be treated quickly. The design of this tool uses OCS-3f as a sensor for detecting oxygen concentration and DHT22 as a sensor for detecting humidity. The output of oxygen and humidity concentrations is then processed by the ESP32 microcontroller into the ADC pin. Data that has been processed from analog sensor data into digital data on the ESP32 is then sent to the https://thinger.io site using the internet network via the wifi module contained in the ESP32 module build-in. In measuring positioned in the settings of 21% to 95%. The largest error value obtained is 4.6% and the smallest is 0.04%.
Design and build analysis of the use of bioradar sensors for portable non-contact respiration monitoring Waode Erimelga Nurfitri; Her Gumiwang Ariswati; Sari Luthfiyah
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.499

Abstract

Respiratory disorders are a critical health problem. Respiration is a vital activity for the proper functioning of the body. Pandemic SARS-CoV-2 virus is a highly contagious disease and causes rapid spread of droplets. This study aims to determine the effectiveness of the bioradar sensor used in non-contact respiration monitoring by exploring the distance to find out the optimal distance for sensor readings in monitoring respiration rate per minute. The results of this study for the 3 treatments given to respondents did not affect the results of measuring respiration rate. At distances of 10 cm and 25 cm they produce 40-43 times/minute, distances of 50 cm and 75 cm produce 33-36 times/minute, distances of 100 cm produce 20-22 times/minute and distances of 125 cm and 150 cm are not detected. The highest error value is -100.00% at a distance of 125cm and 150cm and the lowest error value is 3.39% at a distance of 100 cm. based on the results of the analysis of the effectiveness of sensor readings on distance, which is quite effective at a distance of ±100 cm. It is hoped that this research can reduce the level of disease transmission during the Covid-19 pandemic. The results of the study showed that the three treatments given to respondents did not affect the results of respiratory rate measurements. At a distance of 10 cm and 25 cm, it produced 40-43 times/minute, at a distance of 50 cm and 75 cm it produced 33-36 times/minute, at a distance of 100 cm it produced 20-22 times/minute, and at a distance of 125 cm and 150 cm it was not detected. The highest error value is -100.00% at a distance of 125 cm and 150 cm, and the lowest error value is 3.39% at a distance of 100 cm. Based on the analysis of the effectiveness of the sensor reading at a distance, it was found to be quite effective at a distance of ±100 cm. The implication of this study is that this bioradar sensor is effective in monitoring breathing rate at a distance of about 100 cm. The results of this study are expected to reduce the level of disease transmission during the Cov-19 pandemic, as non-contact monitoring can help in avoiding droplet spread, which is one of the ways the virus is transmitted. This study provides important information on the use of bioradar sensors in non-contact monitoring of breathing that can be used to improve the safety and quality of healthcare, especially in the context of a pandemic

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