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

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Enhancing Laboratory Efficiency: A Community Service Program for Centrifuge Maintenance at Randegansari Husada Hospital Setioningsih, Endang Dian; Sumber; Setiawan, Singgih Yudha; Lusiana
Frontiers in Community Service and Empowerment Vol. 4 No. 1 (2025): March
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v4i1.90

Abstract

The community service program conducted by Poltekkes Kemenkes Surabaya aimed to address the problems associated with equipment maintenance at the Randegansari Husada Hospital, focusing on its centrifuge equipment in the laboratory. The program included counseling and provided practical assistance to the hospital staff, preparing them with the knowledge and skills for the proper maintenance of equipment. Activities covered recording the specification data of the centrifuge units, damage detection, performance improvement using a preventive maintenance program, and performance testing using a digital tachometer. The calibration process also proved a centrifuge relative error of 1.37% at 3000 RPM within the acceptable error limit of 10%. Verification in time, at 300 seconds, resulted in a relative error of 4.89%, also within acceptable limits. Such efforts go a step further to ensure that the centrifuge works well in contributing toward better diagnostic accuracies. The program took a portion of this staffing challenge when it embarked on the training of a medical laboratory technician, insisting that improved and sustained equipment reliability meant improved health service delivery. These would then increase at the hospital to limit malfunctioning of equipment for overall quality care
Analysis of the Accuracy of Differential Pressure Sensor in a Portable Spirometry with FVC, FEV1 and PEF Parameters Nopriyandi, Nopriyandi; Hari Wisana, I Dewa Gede; Setioningsih, Endang Dian; Rizal, Achmad
Jurnal Teknokes Vol. 17 No. 3 (2024): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

Accurate measurement of lung function is essential for diagnosing and monitoring respiratory diseases such as chronic obstructive pulmonary disease (COPD), asthma, and cystic fibrosis. Traditional spirometry methods often face challenges related to accuracy and sensitivity, which can lead to misdiagnosis and inappropriate treatment. This study aims to evaluate the performance of the DF-Robot differential pressure sensor as a portable spirometry tool, focusing on key parameters including Forced Vital Capacity (FVC), Forced Expiratory Volume in 1 second (FEV1), and Peak Expiratory Flow (PEF). The research was conducted at the Surabaya Electromedical Engineering Department, utilizing a pre-experimental design with a single group. The DF-Robot sensor's output was compared against a Hans Rudolph 5530 Syringe Calibrator to determine its accuracy. Data collection involved three different tube sizes, with ten repetitions for each size using the calibrator, and five repetitions with human subjects to assess real-world applicability. Results indicated that the DF-Robot sensor demonstrated high accuracy, with the smallest tube size yielding a minimal error of 0.9%. In contrast, larger tube sizes resulted in significantly higher error rates, with the largest tube showing an error of 33%. The study concluded that the DF-Robot differential pressure sensor is a promising alternative for portable spirometry applications, providing reliable measurements of lung function parameters. The findings underscore the importance of sensor selection in spirometry, as theaccuracy of measurements directly impacts patient diagnosis and treatment. This research contributes valuable insights intothe development of portable spirometry devices, potentially enhancing the diagnostic capabilities for respiratory diseases andimproving patient outcomes in clinical practice. Future studies should explore further refinements in sensor technology andmethodologies to optimize spirometry accuracy and reliability.
Pulmonary Sound Design Using Max 9814 Sensor with Nextion View Febrianti, Fani; Setioningsih, Endang Dian; Utomo, Bedjo; sumber, sumber
Jurnal Teknokes Vol. 16 No. 3 (2023): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

This study aims to develop a tool that can assist nurses in examining patients by displaying sounds and signals on a TFT LCD screen. This tool uses the MAX 9814 sound sensor, which converts sound into an electrical signal. This sensor will generate a voltage when the diaphragm inside it moves back and forth. To design this tool, researchers used a series of high pass filters and low pass filters with a cut-off frequency of 333 Hz - 714 kHz. During testing of this tool using the MAX 9814 sensor mounted on a stethoscope, the signal appears stable on the TFT LCD screen and sound can be played properly. However, if the placement of the stethoscope is not correct during the examination, this can also affect the signal and sound produced. This tool should not produce a clear and loud sound when checking, because if this happens, the inspection cannot be carried out optimally. This research also produces a signal shape that is almost similar to the signal on the phantom. It is important to note that the MAX 9814 can work optimally if it is not exposed to environmental noise. Therefore, if this equipment is used in a noisy environment, the signal and sound produced may be disturbed by environmental noise. This research was conducted with the aim of making it easier for doctors and nurses to carry out portable examinations, as well as to monitor signals and sounds easily.
Electronic Stethoscope Equipped with IoT-based Remote Monitoring to Detect Disease Symptoms Hamzah, Torib; Setioningsih, Endang Dian; Sumber, Sumber; Ragimova, Nazila
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 4 (2022): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i4.157

Abstract

Auscultation is a technique or method most often used by medical personnel in the initial examination of patients. One way to carry out this method is by using a stethoscope. However, this method has its drawbacks because the diagnosis is carried out subjectively and cannot be relied on with the accuracy to diagnose the symptoms of heart defects. Thus, the purpose of this study was to create an IoT system for electronic stethoscopes with BPM value output and make analog filters to eliminate noise interference which was a major obstacle in previous studies. The contribution of this research is to make it easier for medical users to analyze heart rate using an electronic stethoscope while at the same time being able to know the number of BPM automatically that can be monitored remotely because it used IoT system. Furthermore, the method used in this study was by using a mic condenser placed on the patient's chest to detect pressure changes. When the pressure changes, the voltage output value on the condenser mic also changes. In this case, the output from the condenser mic went in and follows the analog signal conditioning circuit. The output signal from the analog signal conditioning further entered the programmed microcontroller. Furthermore, based on the measurement conducted, the error value of BPM was obtained from the five respondents. In this case, the error value generated from respondent 1 was 0.33 BPM, the error value obtained from respondent 2 was 0.67 BPM, the error value obtained from respondent 3 was 0.5 BPM, the error value obtained from respondent 4 was 0.67, and the error value obtained from respondent 5 was 0.67 BPM. Meanwhile, the results of the statistical test obtained P-Value of more than 0.05, indicating that the resulting value did not have a significant difference.
Analysis of Dialysate pH and Temperature Stability on Hemodialysis Machines Using Internet of Thing Technology P, Noviyanto Putera; Lusiana, Lusiana; Setioningsih, Endang Dian; Luthfiyah, Sari; Pati, Abhilash
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 1 (2023): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.163

Abstract

Therapy for kidney replacement with hemodialysis is a treatment that is carried out in patients with Chronic Kidney Failure to survive. Related to this matter, this study was done aiming to determine the stability of the dialysate fluid in the hemodialysis machine by measuring the temperature using the DS18B20 sensor and measuring the dialysate pH using the 4502C sensor on pre- and post-hemodialysis. Meanwhile, the research method and the manufacture of this module applied a pre-experimental research design with the independent variables involved are pH value and Dialysate Temperature, while the dependent variables are pH and Temperature Sensor. Furthermore, the control variable is the Traceable Tool. This research made a module using an Esp32 microcontroller system with an LCD that can be monitored using Android via the Internet of Things (IoT) system. In this case, the comparison of the results of the dialysate temperature values ​​during pre and post-obtained the maximum measurement error of 0.2%. Based on the measurement and data analysis, it can be concluded that there was no effect of pH and temperature values ​​during pre and post hemodialysis.
Analyzing the Relationship between Dialysate Flow Rate Stability and Hemodialysis Machine Efficiency Baharsyah, Baharudin Adi; Setioningsih, Endang Dian; Luthfiyah, Sari; Caesarendra, Wahyu
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 2 (2023): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i2.169

Abstract

Chronic kidney disease (CKD) is a condition characterized by impaired kidney function, leading to disruptions in metabolism, fluid balance, and electrolyte regulation. Hemodialysis serves as a supportive therapy for individuals with CKD, prolonging life but unable to fully restore kidney function. Factors influencing urea and creatinine levels in hemodialysis patients include blood flow velocity, dialysis duration, and dialyzer selection. This research aims to establish a standard for calculating the dialysate flow rate, thereby enhancing dialysis efficiency. The study employs a pre-experimental "one group post-test" design, lacking baseline measurements and randomization, although a control group was utilized. The design's weakness lies in the absence of an initial condition assessment, making conclusive results challenging. Measurement comparisons between the module and the instrument yielded a 5.30% difference, while the difference between the hemodialysis machine and standard equipment was 4.02%. Furthermore, six module measurements against three comparison tools showed a 0.17% difference for the hemodialysis machine with standard equipment, and a 0.18% difference for the module with standard equipment, with a 0.23% discrepancy between the two. Further analysis is necessary to understand the clinical significance and implications of these measurement variations on overall dialysis efficacy
The Impact of Using Digital Filter and Analog Filter on EMG Signal Setioningsih, Endang Dian
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 2 (2019): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i2.254

Abstract

Many cases of accidents which resulted in humans having to surgery to save them, then performend muscle therapy to help the patient’s recovery after going through the post-surgery. This therapy has a purpose, so that the patient’s body is expected to return to normal. An exoskeleton is a tool like an additional clothing that aims not only to protect, but also to increase the wearer's abilities. Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. The purpose of this study was to analyze the differences in the use of analog and digital filters on EMG, as well as the effect on the exoskeleton simulation. The method used in the main design consists of the myoware module, notch circuit, low pass filter, arduino uno, DAC module, teraterm software, and matlab. The intercepted signal is taken from the biceps using a disposable electrode (AG/AGCL.). The EMG signal tapped by the myoware module will continue to another circuit, then recorded on the Teraterm software, and analyzed in MATLAB. The voltage value on the analog filter is 1.541 Volt during relaxation and 2.086 Volt during contraction, while the digital filter that has passed through the DAC has a value of 41.8 mVolt during relaxation and 269.1 mVolt during contraction. The results of this study obtained that digital and analog filter values ​​have an average difference of 5 to 30. The conclusion of this research tool can detect changes in the use of analog and digital filters, in the future research can be developed by comparing other types of digital filters along with replacement to wireless systems. The benefit or purpose of this research is as a simulation of exoskeleton skeletal motion and can see the difference between the use of digital and analog filters
Co-Authors Achmad Rizal Baharsyah, Baharudin Adi Febrianti, Fani Hamzah, Torib Hamzah, Torib Hamzah I Dewa Gede Hari Wisana Lusiana Lusiana Lusiana Luthfiyah, Sari Nopriyandi, Nopriyandi P, Noviyanto Putera Pati, Abhilash Ragimova, Nazila Setiawan, Singgih Yudha Sumber Sumber, Sumber Utomo, Bedjo Wahyu Caesarendra