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 Incu Analyzer for IoT-based Baby Incubator Calibration ]]>
<![CDATA[Septiana, Silvi Dwi]]>;
<![CDATA[Syaifudin, Syaifudin]]>;
<![CDATA[Maghfiroh, Anita Miftahul]]>;
<![CDATA[Huynh, Phuoc-Hai]]>
<![CDATA[ Jurnal Teknokes Vol. 16 No. 3 (2023): September ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[Incubator Analyzer is a calibration tool that measures baby incubators' temperature, mattress temperature, humidity, airflow, and sound level. This research aims to design an "Incu Analyzer for IOT-based Baby Incubator Calibration (Chamber Temperature)" tool with an LCD and Thingspeak integration. The design of this calibration tool involves the baby incubator chamber temperature parameters, namely T1, T2, T3, T4, and T5, which are measured using the DS18B20 sensor. The ESP32 microcontroller is employed to leverage the IoT system, and Wi-Fi is used for IoT communication. The ESP32 processes data collected from the DS18B20 temperature sensor and displays it on the LCD and Thingspeak. This tool is tested by comparing the incubator analyzer module with a standard measuring instrument, INCU II. The temperature parameter yielded the smallest error value of -0.059293% at T5 with a setting temperature of 36°C and the largest error value of -0.0254188% at T2 with a setting temperature of 35°C. In conclusion, after conducting a comprehensive study of the literature and planning, it can be affirmed that the "Incu Analyzer Design for IOT-Based Baby Incubator Calibration" tool functions as planned, demonstrating its efficacy as an IoT-based Incubator Analyzer. This research has successfully developed an IoT system that utilizes Wi-Fi to transmit data and display reading results on Thingspeak, which significantly facilitates users in monitoring the calibration process.]]>
<![CDATA[Growth Monitoring System Using Infant Length to Determine Nutritional Status in Children Aged 0-12 Months. ]]>
<![CDATA[Yulia Ningrum, Churie Nurhaeni]]>;
<![CDATA[Yulianto, Endro]]>;
<![CDATA[Rahmawati, Triana]]>
<![CDATA[ Jurnal Teknokes Vol. 17 No. 3 (2024): September ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[This research addresses the pressing issue of monitoring the growth and nutritional status of infants aged 0-12months, a critical period for health and development. Inadequate growth monitoring can lead to undetected nutritionaldeficiencies and long-term health consequences. To tackle this problem, the study developed an innovative Growth MonitoringSystem that utilizes length, weight, and head circumference as key indicators of nutritional status. The system integratesadvanced technology, including an ESP-32 microcontroller, load cell sensors for weight measurement, ultrasonic sensors forheight measurement, and infrared sensors for head circumference measurement. The methodology involved collecting datafrom 30 respondents, where the system automatically recorded measurements and generated growth curves displayed on aweb-based platform. The accuracy of the measurements was evaluated, revealing significant variability in error rates.Specifically, the highest error in head circumference measurement was recorded at 25.38%, while the weight measurementexhibited a lower error rate of -20.47%. These results highlight the challenges in achieving precise measurements but alsodemonstrate the system's capability to provide essential data for assessing infant growth. In conclusion, the developed GrowthMonitoring System represents a significant advancement in child health monitoring, offering a reliable and efficient methodfor tracking the growth of infants. Despite the observed measurement errors, the system's automated data collection andanalysis capabilities provide valuable insights into nutritional status. The research emphasizes the potential for broaderimplementation of such systems in pediatric clinics and national health programs, ultimately contributing to improved healthoutcomes for infants. By enhancing the accuracy and accessibility of growth monitoring, this research paves the way for moreeffective interventions in early childhood nutrition and health.]]>
<![CDATA[Implementation of Gyro Accelerometer Sensor for Measuring Respiration Based on Inhale and Exhale with Delphi Interface ]]>
<![CDATA[Utama, Egan Graha]]>;
<![CDATA[Triwiyanto, Triwiyanto]]>;
<![CDATA[Rahmawati, Triana]]>;
<![CDATA[Abdulhamid, Mohanad]]>;
<![CDATA[Abdullayev, Vugar]]>
<![CDATA[ Jurnal Teknokes Vol. 16 No. 2 (2023): June ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[Accelerometer sensor is widely employed in respiration studies for its ability to detect changes in position and speed. However, there is a lack of research focusing on the optimal placement of this sensor to achieve accurate respiration measurements. This study aims to investigate and analyze the ideal positioning of the gyro accelerometer sensor for precise respiration detection. To achieve this, a design is proposed that utilizes an Arduino Nano as a microcontroller to process signals and derive respiration values from three gyro accelerometer sensors. The obtained respiration signals and values are transmitted to a PC via Bluetooth and visualized through a Delphi application, enabling a comprehensive comparison of the signals from the three sensors. The main contribution of this research lies in studying the impact of gyro accelerometer sensor placement on respiration detection, ultimately identifying the most suitable sensor location. The analysis reveals that the overall error values obtained from the module are promising, with the highest error recorded at 2.06% when the sensor is positioned at the stomach and chest (sensor position 3). This result validates the feasibility of using gyro accelerometer sensors for respiration detection and provides valuable insights for future studies in this domain. However, it is important to acknowledge certain limitations in this research. During respondent movement or walking, noise is observed in the signal, which may affect the accuracy of respiration measurements. These limitations highlight the need for further investigation into refining the sensor placement and signal processing techniques to mitigate noise and enhance overall accuracy. In conclusion, this study emphasizes the significance of gyro accelerometer sensors in respiration detection and addresses the dearth of research regarding their optimal placement. By presenting the error analysis of three sensor positions, the study establishes a foundation for more precise and reliable respiration measurement techniques. Future efforts should concentrate on overcoming the limitations identified in this research, thereby advancing the potential of gyro accelerometer sensors for a wide range of respiration applications, such as monitoring respiratory health and sleep patterns]]>
<![CDATA[Digital Sphygmomanometer Detects Systole Diastolic Display ]]>
<![CDATA[Aulia, Farahun Nisa]]>;
<![CDATA[Pudji, Andjar]]>;
<![CDATA[Sumber, Sumber]]>;
<![CDATA[Ullah, Naqeeb]]>
<![CDATA[ Jurnal Teknokes Vol. 16 No. 4 (2023): December ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[Hypertension. characterized by elevated blood pressure against artery walls. can be influenced by a patient's body temperature. Therefore. detecting body temperature before measuring blood pressure is essential for accurate assessment. Currently. Digital Tension and Body Temperature parameters are typically evaluated separately. To address this. we propose a novel approach to combine these parameters into a single unit. enhancing health monitoring. Utilizing MPX5050GP for blood pressure and MLX90614 for body temperature detection. Both sensors are directly connected to the Arduino UNO microcontroller. enabling seamless data processing and display on the Nextion LCD. Experimental results demonstrate the device's effectiveness. with systolic blood pressure measurements showing a Maximum error: 2.23%. minimum error: 0.53% for systolic measurements. Diastolic measurements have with a remarkable maximum error of only 4.69% and a minimal error of 1.79%. Additionally. the body temperature measurements exhibited a Achieved exceptional precision with errors as low as 0.45% and a maximum of 1.65%. Successfully completed. this design facilitates simultaneous measurement of two vital parameters. Its potential to streamline health monitoring could significantly impact hypertension management and other related conditions. Further validation and implementation in clinical settings are anticipated to enhance its utility and benefits.]]>
<![CDATA[Comparing Temperature and Humidity Control Using PID and Fuzzy Logic in a Climatic Chamber ]]>
<![CDATA[Putra, Affan Kurnia]]>;
<![CDATA[Rahmawati, Triana]]>;
<![CDATA[Assalim T.P, Moch.Prastawa]]>;
<![CDATA[Misra, Shubhrojit]]>
<![CDATA[ Jurnal Teknokes Vol. 17 No. 2 (2024): June ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[The presence of a thermohygrometer is important in some places, especially in hospitals and climate room equipment. A climate chamber is an enclosed space or isolated environment, which will provide the environmental conditions of relative humidity and temperature. In accordance with the Decree of the Minister of Health of the Republic of Indonesia. Certain rooms such as rooms in hospitals require special attention to environmental conditions, such as the surgical process that occurs in the operating room. A thermohygrometer is a tool used to monitor room conditions. The thermoygrometer used must be able to trace the measurement results using certain media. A climate chamber is a device that provides the desired climate regardless of the external environment. The purpose of this study was to analyze the comparison of PID and Fuzzy Logic temperature control systems on the Climatic Chamber (Fuzzy Logic System) device which plays a role in the process of measuring room temperature and humidity in the field. The method used in this study was to compare directly with a previously calibrated thermohygrometer. The measurement results at 25°C have a response time of 7 minutes 30 seconds and an overshoot of 0.1°C, at a temperature of 30°C has a response time of 5 minutes 15 seconds and an overshoot of 0.1°C, at a temperature of 35°C has a response time of 5 minutes 30 seconds and 0.2°C overshoot. At 50%RH Humidity has a response time of 13 minutes 30 seconds, at 60%RH Humidity has a 12 minute response time, At 70%RH Humidity has a 6 minute response time. The measurement results show that fuzzy logic control has more advantages than PID control. Fuzzy logic control has a faster response time to setpoint than PID control and fuzzy logic control has smaller overshoot compared to PID control.]]>
<![CDATA[IoT-Based Insulin Pump Design Analysis Using Flowrate Monitoring ]]>
<![CDATA[Isfahani, Ghina]]>;
<![CDATA[Syaifudin, Syaifudin]]>;
<![CDATA[Utomo, Bedjo]]>;
<![CDATA[Ragimova, Nazila]]>
<![CDATA[ Jurnal Teknokes Vol. 17 No. 3 (2024): September ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[The management of diabetes, particularly for individuals requiring insulin therapy, presents significant challengesin ensuring accurate and timely insulin delivery. Traditional insulin pumps often lack the precision and adaptability needed foreffective glucose control, leading to potential complications. This study addresses these issues by developing an IoT-basedinsulin pump that utilizes flowrate monitoring to enhance the accuracy of insulin administration. The research employed theESP8266 microcontroller for data processing and control, coupled with the SLF3S-0600F liquid flow sensor to monitor insulinflow rates. The Blynk application was utilized for remote monitoring and dose adjustments, allowing users to manage theirinsulin delivery conveniently via an Android device. The experimental methodology involved conducting five repeatedmeasurements to assess flow rate accuracy, volume delivery, and motor speed. Results indicated that the insulin pump achieveda flow rate measurement error of only 0.0051% at a setting of 1.5 ml/min, while the largest error recorded was 0.0391% at 3ml/min. Additionally, the volume measurement error was minimal, with the smallest error at a 2 ml setting of 0.016% and thelargest at 1 ml with an error of 0.152%. The average motor speed was recorded at 21.22 rpm for auto settings and 49.88 rpm forbolus settings. In conclusion, the developed IoT-based insulin pump demonstrates significant potential for improving diabetesmanagement through precise insulin delivery and real-time monitoring capabilities. The integration of IoT technology not onlyenhances the accuracy of insulin administration but also provides users with greater flexibility and control over their treatment. This research contributes to the ongoing efforts to innovate diabetes care solutions, ultimately aiming to reduce the risk of long-term complications associated with the disease.]]>
<![CDATA[Measuring Instruments for Oxygen Concentration, Flow, Temperature, and Humidity in CPAP Equipped with Microcontroller Based External Data Storage ]]>
<![CDATA[Wafa, Muhammad Ali]]>;
<![CDATA[Assalim Tetra Putra, Moch. Prastawa]]>;
<![CDATA[Wakidi, Levana Forra]]>;
<![CDATA[Misra, Shubhrojit]]>
<![CDATA[ Jurnal Teknokes Vol. 16 No. 3 (2023): September ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[The recommended approach for addressing sleep apnea in infants involves the utilization of CPAP therapy. A pivotal component of CPAP therapy is the inclusion of a humidifier, which serves to counteract potential hazards by introducing humidified air. The purpose of this study was centered on developing a compact, portable model to assess temperature and humidity parameters in CPAP humidifiers. The method utilized was the pre-experimental One Group Post Test Design. The contribution of this research lies in its ability to measure temperature and humidity in the CPAP humidifier using the SHT30 sensor. The sensor readings were processed using the Arduino Mega 2560 Pro Mini microcontroller. The measurement data was presented on a 20x4 LCD screen and had the capability to be stored using an SD Card, alongside the inclusion of a buzzer indicator on the tool. The results demonstrated that the highest error value for the temperature parameter was 1.8%, while the lowest was 0.49%. The expected conclusion is that these findings can be implemented effectively to assist operators in recording, measuring, and monitoring temperature and humidity in CPAP humidifiers and to facilitate monitoring of sleep apnea treatment procedures.]]>
<![CDATA[A Systematic Review of Research to Determine Toxicity of Involuntary Tobacco Smoking as Compared to First Hand Smoking and if Chronic Involuntary Tobacco Smoking during Childhood Causes Skeletal Diseases Later in Life ]]>
<![CDATA[Bobzien, Michael J.]]>
<![CDATA[ Jurnal Teknokes Vol. 16 No. 3 (2023): September ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[A healthy adult life depends on a healthy childhood. Toxic exposures during childhood impact human development and negatively impact adulthood. It is important to be aware of the impact of toxic exposures children may be exposed to. A child will breath up to 3 times the volume per body weight compared to an adult and take in the same ratio of airborne toxicants. A child’s organs and immune system are not fully developed to offer protection from airborne and residual toxins compared to an adult. Children have limited options to escape toxins if they are in the home. Thus, children are the most susceptible to the effects of toxins in their environment and should be protected from such exposures. Comprehensive literature review utilizing google scholar searching the terms; secondhand smoke, tobacco smoke, passive smoking, cadmium, lead, mercury, polycyclic aromatic hydrocarbons, osteoporosis, osteoarthritis, and arthritis. Results: Tobacco Smoke exposure is the greatest toxic exposure risk a child faces in a home environment. Tobacco Smoke exposure starts in the womb when the embryo embeds in the mother’s uterus and connects to their mother’s blood flow. Tobacco smoke contains many osteotoxic, nephrotoxic, cytotoxic, and genotoxic chemicals that significantly alter genetic material in the developing fetus and child having long term consequences. Involuntary smoking is more of a health risk than active smoking. Children in the home environment are more vulnerable to the toxins produced by active smokers even if the smoking takes place when the child is not physically in the home. The child’s toxic exposure has long-term health effects leading to poor bone health and skeletal diseases later in life. As parents and members of the general public we need to implement safeguards to protect children in the home from involuntary tobacco smoking.]]>
<![CDATA[Candida Albicans CT Value in Asthmatics with Prolonged Corticosteroid Inhaler Uses ]]>
<![CDATA[Cholidah, Ema Zahiroh Nur]]>;
<![CDATA[Sasongkowati, Retno]]>;
<![CDATA[Rahayuningsih, Christ Kartika]]>;
<![CDATA[Suliati, Suliati]]>
<![CDATA[ Jurnal Teknokes Vol. 16 No. 4 (2023): December ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[Corticosteroid inhaler is one of the first-line drugs given for the control and prevention of asthma attacks in the long term and continuously. The use of corticosteroid inhalers for a long time has systemic side effects in the oral cavity which can be a predisposing factor for normal fungal infection of Candida albicans microflora, an increase of Candida albicans’s amount in the oral cavity can cause oral candidiasis. Candida albicans detection using q-PCR to detect specific genes in oral swab specimens can provide an indirect picture of the amount of Candida albicans in the samples taken. The purpose of this study was to determine the relationship between the length of use of corticosteroid inhalers and the cycle threshold value in oral swab samples of asthma patient. This type of research is correlational research with data collection techniques using a purposive sampling technique on 30 respondents at the Lung Polyclinic at Bhayangkara Hospital H.S Samsoeri Mertojoso Surabaya who fit the inclusion criteria. Samples were examined using q-PCR to detect specific genes in the ITS-2 region to detect Candida albicans. This research was conducted at the Molecular Biology Laboratory of theMinistry of Health Surabaya Polytechnic during the period April – May 2023. The results showed that there were 26 samples(86.7%) positive for the ITS-2 gene and 4 samples (13.3%) negative for the ITS-2 gene. with sig. 0.307 so that it can be concluded that there is no relationship between the length of use of corticosteroid inhalers and the cycle threshold value of C. albicans in asthmatic’s oral swab sample.]]>
<![CDATA[aby Incubator Calibration", Jurnal Teknokes, vol. 17, no. 1, pp. 20–28, March. 2024. Design of Incu Analyzer for IoT-Based Baby Incubator Calibration ]]>
<![CDATA[Maulani, Salsabilla Kusuma]]>;
<![CDATA[Syaifudin, Syaifudin]]>;
<![CDATA[Maghfiroh, Anita Miftahul]]>;
<![CDATA[Wakidi, Levana Forra]]>
<![CDATA[ Jurnal Teknokes Vol. 17 No. 1 (2024): March ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[An incubator analyzer, serving as a calibration tool, is utilized to measure diverse parameters such as temperature, mattress temperature, humidity, airflow, and noise in infant incubators. The present study focuses on the development of the Design Incubator Analyzer for IoT (Mattress Temperature and Humidity) with LCD and ThingSpeak display, specifically designed for calibrating baby incubators. The primary objective is to design and develop an Incubator Analyzer as a calibration device for assessing various parameters in infant incubators, encompassing temperature, mattress temperature, humidity, airflow, and noise. The design of this calibration device incorporates a Thermocouple Type-K sensor for baby incubator mattress temperature parameters, a DHT22 sensor for humidity parameters, and an ESP32 microcontroller. The ESP32 processes data from the Thermocouple Type-K and DHT22 sensors to generate values for mattress temperature (TM) and humidity (RH), which are then displayed on LCD and ThingSpeak displays. The device underwent rigorous testing against an established measuring device, the INCU II. In the study, the TM parameter or mattress temperature exhibited the smallest error of -0.0140% at 35°C and the largest error of 0.0584% at 36°C. Concerning the humidity parameter, the largest error was 0.0570% at 32°C, while the smallest error was 0.0207% at 35°C. Overall, the Incubator Analyzer Design for IoT-Based Baby Incubator Calibration device, or IoT-based Incubator Analyzer, demonstrates potential usability following the planning and execution phases, including a thorough review of existing literature. To enhance user experience during the calibration process, an IoT system was developed for data transmission over Wi-Fi, presenting results on the ThingSpeak platform in real-time.]]>
