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[System Motor Gearbox Control For Increase Accuracy Angle On CPM Elbow Tool PID Method ]]>
<![CDATA[Kurniawan, Desi Dwi]]>;
<![CDATA[Ariswati, Her Gumiwang]]>;
<![CDATA[Lamidi]]>;
<![CDATA[Sumber]]>
<![CDATA[ Jurnal Teknokes Vol. 18 No. 1 (2025): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[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 .]]>
<![CDATA[Design of temperature controk system for baby incubator transport using PID FUZZY Method ]]>
<![CDATA[Sipul, Elshaday]]>
<![CDATA[ Jurnal Teknokes Vol. 18 No. 1 (2025): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Baby incubator transport is designed to keep the baby's body temperature in a stable condition while traveling, especially for babies who are born prematurely or have medical conditions that require proper temperature control. However, temperature fluctuations in baby incubator transport are often a problem that can affect the safety of the baby. to overcome this, the research proposes the design of a temperature control system on baby incubator transport using a combination of PID (Proportional-Integral-Derivative) and Fuzzy Logic methods. The PID method is used for precession temperature control, while Fuzzy Logic serves to dynamically adjust PID parameters to overcome non-linearity and system uncertainty. The test results show that the PID-fuzzy based temperature control system is able to maintain temperature stability with fast response and low overshot rate compared to conventional methods]]>
<![CDATA[Reducing Motion Artifacts In Holter Monitors Using Digital Butterworth Filters To Improve The Quality Of Ecg Signal Recordings And Utilize Iot Technology ]]>
<![CDATA[ARI, MUHAMMAD ARIFATUL TRIYONO]]>;
<![CDATA[Syaifudin]]>;
<![CDATA[Levana Forra Wakidi]]>
<![CDATA[ Jurnal Teknokes Vol. 18 No. 1 (2025): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Monitoring ECG signals using a Holter device is a common method for diagnosing heart conditions over the long term. However, one of the main challenges in using this device is motion artifacts caused by patient movement during monitoring. These artifacts often affect the quality of the ECG signal recordings, reduce the accuracy of heart condition detection, and hinder the diagnostic process. Therefore, this study focuses on implementing a Butterworth digital filter to reduce motion artifacts, with the hope of improving data recording accuracy and supporting more accurate diagnostic decisions. Based on Fast Fourier Transform (FFT) analysis, the Butterworth digital filter with varying filter orders shows different levels of effectiveness in suppressing noise frequencies. A second-order filter can reduce noise effectively but is not fully optimal. With a fourth-order filter, noise reduction appears almost perfect, while a sixth-order filter can completely suppress noise frequencies. However, in terms of Normal Sinus Rhythm (NSR) signal analysis, the fourth-order filter shows the most consistent and high-quality results. The trials conducted indicate that the reduction of motion artifacts in Holter ECG recordings significantly improves data accuracy. This finding shows that the signal recording quality is already effective in reducing unwanted frequency noise. However, for PQRS peak noise when the patient is walking, noise reduction is not yet completely perfect, making this an area for further improvement in future research. The use of a Butterworth digital filter has proven effective in suppressing noise, especially with a fourth-order filter, which has the highest quality for NSR signal detection. The results of this study are expected to enhance patient monitoring through Holter ECG and improve the early detection of heart condition changes. With the support of Internet of Things (IoT) technology, data from the device can be transmitted directly to healthcare providers, enabling faster and more timely medical responses.]]>
<![CDATA[Analysis of Inspiratory Minute Volume (mVi) and Expiratory Minute Volume (mVe) Parameter Measurement using Flow Analyzer Design with Volume Control Ventilation (VCV) Mode on Ventilator ]]>
<![CDATA[Wakidi, Levana Forra]]>;
<![CDATA[Farid Amrinsani]]>
<![CDATA[ Jurnal Teknokes Vol. 18 No. 1 (2025): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[The Flow Analyzer Ventilator functions as a breathing aid by controlling the volume of air provided to the patient. In VCV mode, the ventilator regulates a fixed volume of inspiration for each patient's breath. To ensure that the ventilator functions according to its specifications, accurate measurements of the Inspiratory Minute Volume (mVi) and Expiratory Minute Volume (mVe) parameters are required. Flow analyzers play an important role in this research as a tool to measure and verify the output produced by ventilators. This research focuses on the manufacture of a flow analyzer to measure and evaluate two important parameters, namely mVi and mVe, on ventilators operating in VCV mode. Data collection was carried out using VCV mode and was carried out 5 times with tidal volume settings of 200mL, 300mL, 400Ml, 500mL, and 600ml as well as with an I:E ratio of 1:2 and a PEEP pressure of 5cmH2O. Based on the available data, the Minute Volume Expiratory (MVE) parameter showed the highest error in the 300 mL tidal volume setting with a value of -14.7%. After the module was adjusted, the 600 mL tidal volume setting had an average error of 0.69 with a standard deviation of 1.351, while the 200 mL setting recorded the lowest average error of -0.12. Adjustments to the module and manual calculations resulted in more accurate information, suggesting that lower tidal volume settings, such as 200 mL, may improve measurement accuracy on the ventilator. Overall, this study indicates that while higher volume settings can increase data variation, lower settings can provide more consistent and accurate measurement results.The use of the AFM 3000 sensor on the Flow Analyzer is proven to be used in measuring airflow on ventilators.]]>
<![CDATA[Embedded Digital Filter System on Microcontroller to Reduce Noise in Single Lead Electrocardiography Design ]]>
<![CDATA[Setiawan, Singgih Yudha]]>;
<![CDATA[Miftahul Maghfiroh , Anita]]>
<![CDATA[ Jurnal Teknokes Vol. 18 No. 1 (2025): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[The background of this research focuses on improving the quality of ECG signals which are often disturbed by noise, which can affect the accuracy of cardiac diagnosis. The main objective of the research is to show the effectiveness of the 6th order IIR (Infinite Impulse Response) filter in reducing noise in the ECG signal and increasing the Signal-to-Noise Ratio (SNR) value. This research contributes by applying advanced filtering methods to embedded systems and analyzing the results using the Fast Fourier Transform (FFT) to transmit frequency spectrum signals. The results showed that the use of a 6th order IIR filter resulted in an increase in SNR of 15.97 dB, indicating a significant improvement in the cleanliness of the ECG signal after the filtering process. FFT confirmed that this filter effectively reduced noise and clarified component frequency signals, supporting the success of the method used. The conclusion of this study is that the 6th order IIR filter is very effective in improving ECG signal quality by reducing noise and increasing diagnostic accuracy. Implications of these results include the potential use of this technology in medical devices for more accurate cardiac monitoring, as well as the need for further research to explore other screening methods and validation in various clinical settings. This research opens up opportunities for the development of better filter technology and integration in medical systems to improve patient care outcomes.]]>
<![CDATA[Quality of Service (QoS) Analysis of MQTT Protocol for Smart Farming Monitoring System Optimization ]]>
<![CDATA[Adi]]>
<![CDATA[ Jurnal Teknokes Vol. 18 No. 1 (2025): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[So far, plantation conditions that have only been monitored manually can now be monitored automatically, making it easier to monitor the condition of the plantation. This study proposes a system for monitoring the condition of the plantation by implementing the MQTT communication protocol based on smart farming. Message Queue Telemetry Transport (MQTT) is a machine-to-machine connectivity protocol designed as messaging and provides a publish/subscribe architecture. In this study, MQTT is implemented using a mosquitto broker which functions to regulate the sending of messages between Publishers and Subscribers. With the scheme of increasing the number of publishers (1 to 4 publishers) in each test, the MQTT protocol has the largest average throughput during the condition of 4 publishers which is 13093.5070 bps and the smallest in the condition of 1 publisher 4281.7529 bps, the average packet delivery ratio is the largest in the condition of 4 publishers which is 99.8328% and the smallest when 1 publisher is 99.5615%, the average packet loss is the largest when the condition of 1 publisher is 0.4385% and the smallest when 4 publishers is 0.1672%, And the average largest delay during the condition of 1 publisher is 161.5244 ms and the smallest when 4 publishers is 59.0415 ms.]]>
<![CDATA[Effectiveness of Specialized Cervical Collars in Reducing Pain Associated with Cervical Syndrome among Computer Workers ]]>
<![CDATA[zubaidi, Alfan]]>;
<![CDATA[Suprayogi, Dody]]>;
<![CDATA[akbar, Muh Syaiful]]>
<![CDATA[ Jurnal Teknokes Vol. 18 No. 2 (2025): June ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Cervical syndrome is a prevalent musculoskeletal disorder among computer workers, primarily caused by prolonged static postures and poor ergonomic practices. It leads to chronic neck pain, muscle stiffness, and reduced work productivity. Addressing this issue, ergonomic interventions such as specialized cervical collars can help mitigate discomfort and prevent further complications. This study aims to evaluate the effectiveness of a customized cervical collar in reducing neck pain among computer workers in Karanganyar Regency. Specifically, it investigates whether a specially designed collar provides more effective pain relief compared to commercially available collars. This study contributes to occupational health by proposing an ergonomic intervention that may improve the well-being of computer workers. It highlights the potential benefits of personalized cervical support, which may influence workplace ergonomic policies and musculoskeletal disorder prevention strategies. A pre- and post-test experimental design was used to assess pain reduction using the Visual Analog Scale (VAS). The study involved 80 computer workers diagnosed with cervical syndrome. Participants underwent a baseline pain assessment using the VAS before the intervention. The intervention group used a customized cervical collar, while the control group used a standard commercial collar. Pain levels were reassessed after a specified intervention period. Data were analyzed using paired t-tests to evaluate the significance of pain reduction, with additional correlation analysis conducted to examine relationships between pre- and post-intervention scores. The findings revealed a significant reduction in neck pain within the intervention group. The mean pain score decreased from 4.29 to 2.25 (p < 0.001), with a large effect size (Cohen’s d = 2.401). Correlation analysis showed a meaningful relationship (r = 0.292, p = 0.009) between pre- and post-intervention pain levels, confirming the effectiveness of the customized cervical collar. This study demonstrates that a customized cervical collar is highly effective in reducing neck pain among computer workers. These results support its use as an ergonomic intervention for preventing work-related musculoskeletal disorders. Future research should explore long-term benefits and compliance rates in various occupational settings.]]>
<![CDATA[Digital Innovation for Monitoring the Mental Health of Students at UPN "Veteran" East Java Using the PHQ-9 Instrument ]]>
<![CDATA[maulana, Hendra]]>;
<![CDATA[Citra, Delia]]>;
<![CDATA[Sari, Lintang]]>;
<![CDATA[Safana, Tsabita]]>;
<![CDATA[Aprilia, Erica]]>
<![CDATA[ Jurnal Teknokes Vol. 18 No. 2 (2025): June ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Mental health issues, especially depression, are increasingly prevalent among university students in Indonesia, primarily due to academic, social, and emotional pressures during the transition from adolescence to adulthood. This study developed and evaluated UWAYS, a mobile application designed to assist the early detection of depressive symptoms using the Patient Health Questionnaire-9 (PHQ-9). The app features include an interactive PHQ-9 self-assessment, historical tracking of assessment results, and automatic initial recommendations based on score classifications. Involving 100 active students of UPN “Veteran” East Java, the results showed that most participants fell within the mild to moderate depression categories, with sleep disturbance and low self-confidence as the most common symptoms. The System Usability Scale (SUS) assessment yielded an average score of 77.3, indicating good usability and positive user acceptance. These findings confirm that UWAYS provides an accessible, practical, and user-friendly tool for independent mental health screening among students. This application serves as an initial step to support mental health management in the campus environment and offers potential for further integration with university counseling services. The study also highlights that the lack of early detection mechanisms on campus remains a gap that can be addressed through digital innovation like UWAYS, which combines scientific accuracy, data confidentiality, and ease of use to encourage proactive mental health awareness among students.]]>
<![CDATA[Evaluating the Reliability of SpO₂ and BPM Readings in Commercial Smartwatches Compared to a Standard Oximeter ]]>
<![CDATA[Wibowo, Kusnanto Mukti]]>;
<![CDATA[Royan, Royan]]>;
<![CDATA[Latif, Abdul]]>;
<![CDATA[Susanto, Fani]]>;
<![CDATA[Fatiatun, Fatiatun]]>;
<![CDATA[Irmawanto, Rudi]]>;
<![CDATA[Che Ani, Norhidayah]]>
<![CDATA[ Jurnal Teknokes Vol. 18 No. 2 (2025): June ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[The advancement of wearable technology has enabled commercial smartwatches to monitor vital health parameters such as blood oxygen saturation (SpO₂) and heart rate (BPM). This study aimed to evaluate the accuracy of SpO₂ and BPM readings from three commercial smartwatches: Realme C2 Pro, Oraimo 2 Plus OSW-32N, and Haylou LS02 Pro by comparing them to a standard medical-grade oximeter (Beurer PO40). A total of 34 participants were recruited, representing a range of skin tones identified using the Fitzpatrick Skin Type Scale (Types I–V). Statistical analyses, including Pearson’s correlation and Bland-Altman plots, were used to assess the relationship and agreement between devices. Results showed that the Realme C2 Pro provided the highest accuracy, with 99.58% for SpO₂ and 98.515% for BPM, while the Haylou LS02 Pro showed the lowest accuracy at 99.24% for SpO₂ and 97.29% for BPM. Bland-Altman analysis revealed small biases and narrow limits of agreement, indicating that the smartwatches produced readings closely aligned with those of the medical device. Despite minor discrepancies, all smartwatches demonstrated strong potential for health monitoring applications. The discussion highlights factors influencing measurement accuracy, including sensor quality, algorithm performance, and user-specific variables such as skin tone. These findings support the role of smartwatches as accessible tools for early health detection and continuous monitoring. Although not intended to replace clinical instruments, properly optimized smartwatches can complement healthcare systems by enabling timely interventions and enhancing disease management.]]>
<![CDATA[AI-Powered Holter for Affordable and Accurate Arrhythmia Detection ]]>
<![CDATA[Nyatte, Steyve]]>;
<![CDATA[Leatitia, Guiadem]]>;
<![CDATA[steve, Perabi]]>;
<![CDATA[Essiane, Ndjakomo]]>
<![CDATA[ Jurnal Teknokes Vol. 18 No. 2 (2025): June ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
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<![CDATA[Cardiac arrhythmias pose significant health risks, and current detection systems often suffer from high costs and limited accessibility, particularly in resource-constrained settings. This research aimed to develop a portable, cost-effective Holter monitoring device for accurate arrhythmia detection using machine learning. By combining an inexpensive ESP32 microcontroller with an AD8232 ECG sensor, a data acquisition system was built. Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Multilayer Perceptron (MLP) models were trained and evaluated for arrhythmia classification. The SVM model achieved the highest accuracy (78.53%) using a linear kernel and features selected by a random forest algorithm. While KNN and MLP also showed promise, the results emphasized the importance of hyperparameter tuning and feature selection. This research demonstrated the feasibility of creating an affordable and intelligent Holter device capable of effective arrhythmia detection, potentially increasing access to cardiac monitoring and enabling early diagnosis in resource-limited environments.]]>
