Jurnal Teknokes
Aims JURNAL TEKNOKES aims to become a forum for publicizing ideas and thoughts on health science and engineering in the form of research and review articles from academics, analysts, practitioners, and those interested in providing literature on biomedical engineering in all aspects. Scope: 1. Medical Electronics Technology and Biomedical Engineering: 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, Intelligent Systems, Neural Networks, Machine Learning, Fuzzy Systems, Digital Signal Processing, Image Processing, prosthetics, orthotics, rehabilitation sciences, Mobility Assistive Technology (MAT), Internet of Things (IoT), and Artificial Intelligence (AI) in the prosthetics and orthotics field, Breast Imaging, Cardiovascular Imaging, Chest Radiology, Computed Tomography, Diagnostic Imaging, Gastrointestinal Imaging, Genitourinary, Radiology, Head & Neck, Imaging Sciences, Magnetic Resonance Imaging, Musculoskeletal Radiology, Neuroimaging and Head & Neck, Neuro-Radiology, Nuclear Medicine, Pediatric Imaging, Positron Emission Tomography, Radiation Oncology, Ultrasound, X-ray Radiography, etc. 2. Medical Laboratory Technology: Hematology and clinical chemistry departments, microbiology section of the laboratory, parasitology, bacteriology, virology, hematology, clinical chemistry, toxicology, food and beverage chemistry. 3. Environmental Health Science, Engineering and Technology: Papers focus on design, development of engineering methods, management, governmental policies, and societal impacts of wastewater collection and treatment; the fate and transport of contaminants on watersheds, in surface waters, in groundwater, in soil, and in the atmosphere; environmental biology, microbiology, chemistry, fluid mechanics, and physical processes that control natural concentrations and dispersion of wastes in air, water, and soil; nonpoint-source pollution on watersheds, in streams, in groundwater, in lakes, and in estuaries and coastal areas; treatment, management, and control of hazardous wastes; control and monitoring of air pollution and acid deposition; airshed management; and design and management of solid waste facilities, detection of micropollutants, nanoparticles and microplastic, antimicrobial resistance, greenhouse gas mitigation technologies, novel disinfection methods, zero or minimal liquid discharge technologies, biofuel production, advanced water analytics 4. Health Information System and Technology The journal presents and discusses hot subjects including but not limited to patient safety, patient empowerment, disease surveillance and management, e-health and issues concerning data security, privacy, reliability and management, data mining and knowledge exchange as well as health prevention. The journal also addresses the medical, financial, social, educational, and safety aspects of health technologies as well as health technology assessment and management, including issues such as security, efficacy, the cost in comparison to the benefit, as well as social, legal, and ethical implications. This journal also discussed Intelligent Biomedical Informatics, Computer-aided medical decision support systems using a heuristic, Educational computer-based programs pertaining to medical informatics.
Articles
88 Documents
<![CDATA[Design of Ambulatory Blood Pressure Monitoring for IOT-Based Hypertension Patients ]]>
<![CDATA[Sari, Alvy Noorlatifa]]>;
<![CDATA[C. N, Priyambada]]>;
<![CDATA[Mak’ruf, Muhammad Ridha]]>;
<![CDATA[Ariswati, Her Gumiwang]]>;
<![CDATA[T.P., Moch. Prastawa Assalim]]>;
<![CDATA[Maghfiroh, Anita Miftahul]]>
<![CDATA[ Jurnal Teknokes Vol. 17 No. 1 (2024): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[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.]]>
<![CDATA[Digital Filter Design to Reduce Motion Artifacts in Electrocardiogram Signals Based on IIR Filter ]]>
<![CDATA[Maghfiroh, Anita Miftahul]]>;
<![CDATA[Setiawan, Singgih Yudha]]>;
<![CDATA[Mujahid, Muhammad Umer Farooq]]>
<![CDATA[ Jurnal Teknokes Vol. 16 No. 4 (2023): December ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Developed a new method to overcome motion artifacts in Electrocardiogram (ECG) signals, which often interfere with accurate clinical analysis. Motion artifacts, such as body movements, can cause significant distortions in the ECG signal, resulting in incorrect interpretation and affecting medical diagnosis. The main objective of this research is to design and implement an infinite impulse response (IIR) filter with a predetermined sequence, namely orders 2, 4, 6, and 8 to reduce motion artifacts in the ECG signal. We aim to improve ECG signal quality by preserving important ECG signal information and reducing noise caused by motion artifacts. This research contributes to developing more precise and reliable ECG signal processing techniques. The proposed method provides an effective approach to handling motion artifacts, enabling more accurate and reliable ECG interpretation by medical professionals. We used an ECG simulator that provides body movement simulation as a basis for experiments. The detected ECG signal is processed with a predetermined order IIR filter. We compare the filtered signal to the original signal to measure the effectiveness of reducing motion artifacts. Experimental results show that the applied IIR filter efficiently reduces motion artifacts in the ECG signal. The SNR assessment showed a significant improvement, proving the success of this method in maintaining ECG signal quality. The result is that in the 2nd order, the SNR value is 22.25 dB, in the 4th order the SNR value is 22.75 dB, in the 6th order the SNR value is 22.99 dB, in the 6th order the SNR value is 22.99 dB. 8 obtained an SNR value of 23dB. This study successfully demonstrated that using IIR filters in a specified order effectively reduces motion artifacts in the ECG signal, increases SNR, and maintains the integrity of clinical information in the ECG signal. The implications of this research extend to medical technology development and clinical applications, providing a strong foundation for continued research in more efficient and reliable ECG signal processing.]]>
<![CDATA[Design and Implementation of a Web-Based Application for Media and Laboratory Reagents Management with QR Code Feature ]]>
<![CDATA[Kuwandari, Fira]]>;
<![CDATA[Susanti, Rahmi]]>;
<![CDATA[Grey, Michael Alfian]]>;
<![CDATA[Inderiati, Dewi]]>
<![CDATA[ Jurnal Teknokes Vol. 16 No. 3 (2023): September ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Planning needs, purchasing, determining the availability of practical materials, and keeping an eye on the state of the actual or real amount are the first steps in practical material management operations. This task is completed to ensure the accuracy of the bookkeeping records in order to reduce variations in inventory levels. The goal of the study is to manage media practice materials and QR Code-based laboratory reagents as efficiently as possible. In this study using the Waterfall method which is included in the SDLC (Software Development Life Cycle) model. The laboratory equipment inventory application is made using a sublime text editor and uses PHP, HTML, CSS programming languages and bootstrap frameworks to make the application look more attractive. The system's use demonstrates the efficiency and precision with which data on laboratory equipment is recorded in order for the leadership to make decisions regarding the proper quantity of teaching and learning aids to be purchased. The unique feature of this system is the direct smartphone connection of the notification, which makes it simpler for users to keep track of inventory flow. The inventory service notification system through WhatsApp is expected to contribute to improving the quality of academic services and meeting the needs of its users. From the results of this study states that the application design used can be a solution in overcoming previous problems so as to achieve effective and efficient data collection activities.]]>
<![CDATA[Development IoT-based Infant Monitoring System for Preventing Sudden Infant Death Syndrome (SIDS) with Abnormal Condition Notifications and Lost Data Analysis ]]>
<![CDATA[Ananta, Erick Dwi]]>;
<![CDATA[Syaifuddin, Syaifuddin]]>;
<![CDATA[Soetjiatie, Liliek]]>;
<![CDATA[Utomo, Bedjo]]>
<![CDATA[ Jurnal Teknokes Vol. 16 No. 2 (2023): June ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Sudden infant death syndrome or SIDS is the sudden death of a healthy baby under 1 year of age that occurs without any symptoms. It can be triggered by various factors, ranging from the baby's sleeping position to the baby's physical condition that has not 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. In addition, checking body temperature and heart rate can also prevent febrile seizures that can cause epilepsy. Therefore, a tool is needed that can monitor the body temperature and heart rate of babies in real time and with an efficient mechanism. The purpose of this research is to conduct real-time monitoring with vital parameters of Respiration Rate using Piezo Electric sensor and heart rate monitoring using MAX30100 sensor. This research method is the design of a respiration and heart rate monitoring tool using piezoelectric sensors and ESP 32. The measurement results show that the largest difference value with the comparison tool is 28.74% and the smallest is 0.00%. suggestions and recommendations in this study on the right sensor placement so that effective results are obtained and the output results can be accessed via the website by doctors and other health workers and the existence of telegram notifications if conditions are abnormal so as to prevent SIDS..]]>
<![CDATA[IoT-Based Human Vital Sign Monitoring Tool Using Telegram Notifications ]]>
<![CDATA[Dwi K, Rizky]]>;
<![CDATA[Assalim Tetra Putra, Moch. Prastawa]]>;
<![CDATA[Kholiq, Abdul]]>;
<![CDATA[Utomo, Bedjo]]>;
<![CDATA[sumber, sumber]]>;
<![CDATA[Triwiyanto, Triwiyanto]]>;
<![CDATA[Rathod, Yagnik]]>
<![CDATA[ Jurnal Teknokes Vol. 16 No. 3 (2023): September ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Vital signs play a crucial role in monitoring the progress of adult or pediatric patients during hospitalization, as they enable prompt detection of delayed recovery or adverse events. Vital signs are measured to obtain fundamental indicators of the patient's health status. The measurement of vital signs, including blood pressure, temperature, pulse, and respiratory rate, is the most common intervention in hospital medicine. Advanced monitoring systems combine clinical and technological aspects to deliver innovative healthcare outcomes. Remote patient monitoring systems are increasingly becoming the cornerstone of healthcare delivery, replacing traditional manual recording with computer and smartphonebased electronic recording as a versatile and innovative health monitoring system. This study aims to design a Vital Sign Monitoring Parameter BPM and RR tool with Notifications via the IoT-Based Telegram application. The tool enables the monitoring of vital signs, particularly BPM and RR, regardless of the patient's location and at any given time. This allows doctors, health workers, and patients to stay informed about their health condition. Real-time display of vital sign data is available through the TFT LCD screen, and the data from the screen can be accessed via Telegram. The Telegram application will send notifications in the event of abnormal patient conditions. MAX30100, a digital sensor for detecting breathing rate and heart rate, is utilized in this research. Furthermore, the data obtained shows errors that are within the allowable limits for each parameter. The difference between the heart rate readings and the respiratory rate values on the device and the patient monitor is 1.14% for heart rate and 0.84% for respiratory rate. This study indicates that it is time to monitor vital signs that can be seen remotely and have a system that is an inexpensive and easy-to-operate device for health workers without interfering with activities of daily living.]]>
<![CDATA[PID Temperature Control of Baby Incubator Transport Battery Efficiency ]]>
<![CDATA[Vidaryanto, Angga]]>;
<![CDATA[Wisana, I.D.G Hari]]>;
<![CDATA[Kholiq, Abd]]>;
<![CDATA[Dewiningrum, Riqqah]]>
<![CDATA[ Jurnal Teknokes Vol. 17 No. 1 (2024): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Transport baby incubators are used to keep babies warm and safe while in transport using battery voltage sources or DC electricity, which are portable and can be used without getting a supply of electrical energy. The problem that often occurs with this tool is the limited battery power system. causes a risk to the infant in the event of power failure or battery exhaustion. We aim to evaluate the battery efficiency of Baby Incubator Transport using a PID temperature controller. The evaluation is done by comparing and analyzing the battery voltage of the device to the standard device, as well as considering the setting temperature and duration of use of the device so that it can provide convenience in evacuating babies in an emergency. The tool uses the PID method to control temperature and maximize battery power. In this design, researchers only look at the efficiency of the PID method on temperature control and the battery to be used. This module will have a display that will display the battery voltage value, battery voltage percentage, skin temperature, chamber temperature, humidity, and temperature control that has been selected in the form of a graph. Compared with the digital multimeter measuring instrument. From the results of data collection, it can be concluded that the PID method has a faster rise time to reach the setting temperature, while the fuzzy method has a longer rise time to reach the setting temperature. However, the PID method requires more battery power than the Fuzzy method. The measurement results between the display and the measuring device have a difference of 3.1% at 34°C, at 35°C it is 3.9%, and at 36°C it is 4.7%. The biggest error is at a temperature of 36ºC, the smallest is at a temperature of 34ºC. Based on the results of the observation analysis of battery power consumption, it is found that the smaller the battery energy, the smaller the current issued, as well as the voltage issued. But if the load is large, the current is inversely proportional to the center, the battery voltage decreases while the current increases.]]>
<![CDATA[Monitoring Oxygen Concentration and Humidity Parameters of Bubble CPAP Based on IoT ]]>
<![CDATA[Puspitasari, Ratna Ika]]>;
<![CDATA[Titisari, Dyah]]>;
<![CDATA[Lusiana, Lusiana]]>;
<![CDATA[Lamidi, Lamidi]]>
<![CDATA[ Jurnal Teknokes Vol. 16 No. 2 (2023): June ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Existing Bubble Continuous Positive Airway Pressure (CPAP) devices used in neonatal care. Specifically, the lack of digital result display and monitoring capabilities for oxygen concentration and humidity parameters is identified as a major issue. This study aims to address the shortcomings of existing Bubble Continuous Positive Airway Pressure (CPAP) devices used in neonatal care by designing a monitoring system for oxygen concentration and humidity parameters. The lack of digital result display and monitoring capabilities for oxygen rate, concentration, temperature, and humidity necessitates an improved solution. The proposed system utilizes Internet of Things (IoT) technology, allowing remote monitoring by healthcare professionals. Oxygen concentration is detected using the OCS-3f sensor, and humidity is measured with the DHT22 sensor. Data from these sensors are processed by the ESP32 microcontroller and transmitted to the https://thinger.io site via built-in Wi-Fi. The monitoring tool ensures accurate measurements between 21% to 95% oxygen concentration, with a maximum error of 4.6% and a minimum error of 0.04%. This high accuracy enhances the reliability of the CPAP bubble device for oxygen therapy. The study's significance lies in its contribution to neonatal care, offering a real-time monitoring system that facilitates prompt diagnosis and treatment. By integrating IoT and telegram notifications, healthcare professionals can remotely monitor and respond to the baby's condition, improving overall care quality. This innovative tool holds promise in enhancing neonatal care, ensuring optimal oxygen therapy, and supporting the well-being of infants receiving CPAP bubble therapy. Implications of this study are promising in terms of improving neonatal care, enhancing the reliability of CPAP devices, and leveraging technology to facilitate better healthcare practices for the most vulnerable population: premature and critically ill infants.]]>
<![CDATA[Fuzzy Logic Method to Control Evenly Distributed and Stable Waterbath Temperature with Four Heaters ]]>
<![CDATA[Kurniawan, Rifqi]]>;
<![CDATA[Syaifudin, Syaifudin]]>;
<![CDATA[Lamidi, Lamidi]]>;
<![CDATA[Misra, Shubhrojit]]>
<![CDATA[ Jurnal Teknokes Vol. 17 No. 1 (2024): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Water baths are commonly used in scientific fields to incubate samples at specific temperatures. The temperature of the water bath must be controlled precisely, because even the slightest temperature variation can affect the results of the experiment. It can handle imprecise, uncertain and incomplete information, making it suitable for temperature control in water baths. This research aims to determine the distribution and stability of fuzzy logic control to control the temperature of a water bath with four heaters. Even heat distribution from the four heaters will ensure consistent water bath temperature throughout the bath. This research uses an Arduino microcontroller to process the temperature sensor output from the DS18B20, then the processed temperature value will be displayed on the TFT LCD. The independent variable in this research is the temperature value, while the dependent variable is the DS18B20 temperature sensor. The largest error value from the module measurements is at a temperature setting of 30 ºC on the 2nd temperature sensor with an error value of 1.43%. Meanwhile, the smallest error value is found at a temperature setting of 35 ºC on the 1st and 4th temperature sensors with an error value of 0.01%. Data collection used a digital thermometer comparison tool with 10 repetitions as a temperature sensor reference tool. The results obtained using this sensor are more stable and have a high accuracy value. The results of the research show that the temperature difference between points 1 to 4 when viewed from the error percentage is very small, or it can be said that the temperature distribution is even. The conclusion from these results is that the module has a stable temperature value and the error value is low and is still within the tolerance limit. permitted is ±5%.]]>
<![CDATA[Non-Contact Respiration Monitoring Using Bio-Radar Sensor Based on Linear Regression Classifier ]]>
<![CDATA[Fahrudin Y., Muhamad]]>;
<![CDATA[Syaifudin, Syaifudin]]>;
<![CDATA[Irianto, Bambang Guruh]]>;
<![CDATA[Huynh, and Phuoc-Hai]]>
<![CDATA[ Jurnal Teknokes Vol. 17 No. 1 (2024): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Tuberculosis (TB) is an infectious disease that mainly attacks the lungs, caused by the bacterium Mycobacterium tuberculosis. To reduce its spread, hospitals use special rooms for TB patients and health workers follow strict Standard Operating Procedures (SOP). Recent advances in medical technology have led to the development of contactless respiratory monitoring techniques, such as bio-radar sensors that utilize the Doppler principle to detect lung movement. This research aims to explore the application of bio-radar sensors for contactless respiratory rate monitoring and then combine it with machine learning methods, specifically using linear regression algorithms, to translate bio-radar output into measurable respiratory rate values. By training a regression model using a processed raw data set to identify inspiration and expiration, where 1 is inspiration and 0 is expiration. To test the performance of the contactless breathing module, it was compared to a patient monitor. The module and comparison tool were run simultaneously with 10 measurement distance points for 10 patients or respondents with each distance point taken three times. The data that has been obtained from the results of comparisons between modules and comparison tools is entered into machine learning data analysis techniques, namely accuracy, precision and recall. The accuracy results were 74.9%, precision 71.4% and recall 83.3%. This research has proven that bio radar can be used to detect lung movement.]]>
<![CDATA[Improvement of Non-invasive Blood Sugar and Cholesterol Meter with IoT Technology ]]>
<![CDATA[Islamudin, Ahmad Faisal]]>;
<![CDATA[Rahmawati, Triana]]>;
<![CDATA[Triwiyanto, Triwiyanto]]>;
<![CDATA[Abudlayev, Vugar]]>
<![CDATA[ Jurnal Teknokes Vol. 17 No. 1 (2024): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[In checking blood sugar levels, patients often feel uncomfortable because invasive blood sampling must be done and if done to patients who have a history of high glucose, it can cause wounds that are difficult to heal and can be operated on. This study aims to non-invasively monitor cholesterol levels, reducing discomfort and pain for patients by eliminating the need for invasive procedures. The method used in this research is the MAX30102 sensor will detect blood sugar through the patient's finger, the data will be processed in ESP8266 as monitoring will connect to the OLED LCD as a viewer and IoT as data storage with WiFi connected. In this study, the greatest accuracy value was obtained 99.03% with the largest error value of 10.52% and the smallest accuracy value was 89.48% with the smallest error value of 0.97%. From all measurement results, the average accuracy value is 93.974% and the average error is 6.026%. It can be concluded that the development of a non-invasive method for monitoring blood sugar levels by utilizing the MAX30102 sensor with this accuracy value shows that this non-invasive method is reliable for monitoring blood sugar levels. In future studies, researchers are expected to use more accurate sensors and take more data to get a better average value.]]>
