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All Journal Frontiers in Community Service and Empowerment Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Pudji, Andjar
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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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Educational for Technical Personnel of Krembangan Health Center in order to increase Awareness on Leakage Current Measurement for Medical Equipment and Patient Safety Ridha Makruf, Muhammad; Priyambada Cahya Nugraha; Pudji, Andjar
Frontiers in Community Service and Empowerment Vol. 3 No. 4 (2024): December
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v3i4.85

Abstract

The electrical safety of medical equipment is crucial to prevent hazards that endanger both healthcare workers and patients. Krembangan Health Center faces significant challenges due to staff's limited knowledge about electrical safety, including leakage current detection. The aim of this study was to enhance staff skills in ensuring electrical safety through a focused training program. The program covered the basics of electrical safety, leakage current risks, and practical use of a digital multimeter for inspections. Field surveys and practical training were conducted to inspect and measure electrical systems across the health center. Results revealed inadequate grounding, uneven load distribution, and leakage voltage up to 99 volts AC in the new building, while the old building had minor leakage issues. The conclusion emphasized the need for regular maintenance, comprehensive electrical safety audits, and ongoing staff training to ensure long-term safety. These efforts aim to create a safer healthcare environment, improving the reliability of medical equipment and safeguarding patient care.
Web-Based Infant Weight and Height Measurement for Early Stunting Detection at Krembangan Posyandu, Surabaya Pudji, Andjar; Ridha Makruf, Muhammad; Priyambada Cahya Nugraha
Frontiers in Community Service and Empowerment Vol. 3 No. 4 (2024): December
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v3i4.86

Abstract

Early childhood is a critical phase for physical and cognitive development, making early detection of stunting vital to a child’s long-term health. Traditional methods of measuring infant growth in regions like Indonesia rely on manual data collection, leading to delays in identifying stunting. This study aims to implement a web-based system for infant weight and height measurements to assist healthcare workers in early stunting detection at Krembangan Posyandu, Surabaya. The system provides real-time monitoring, automatic z-score calculations, and data storage, enhancing efficiency and accuracy. Methodologically, the tool was tested with 16 infants, allowing cadres to input measurements directly into a web platform for analysis. Results showed the tool's ease of use, increased speed in data handling, and improved access to growth data, reducing manual errors. The findings indicated that most infants had healthy growth, though a few required further attention. In conclusion, this web-based tool significantly improves the accuracy and timeliness of stunting detection, with implications for wider adoption in regions with limited healthcare infrastructure. However, limitations include a small sample size and a lack of assessment of long-term outcomes. Future research should focus on larger populations and the tool’s integration into broader healthcare systems
Analysis Of Early Warning System In Cold Room Vaccine Storage With Iot System Arniningtyas, Aprilina Gayuh; Pudji, Andjar; Yulianto, Endro; Ali, Latafat Mikayilzade
Jurnal Teknokes Vol. 16 No. 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

Cold room as a cold room for vaccine storage is an environment with a controlled temperature used to maintainand distribute vaccines in optimal conditions. The results of this review are expected to be a reference for researchers andreaders with the development of research using the DS B1820 temperature sensor which will analyze the results of the datalogger output and linearity at sensitive locations Cold Room with LCD output and equipped with an IoT system web displayon a PC for monitoring and alarm and notification via telegram when there is a change in temperature approaching and outsidethe range of 2 - 8 ° C so that this can make it easier for officers to monitor the temperature and quality of the vaccine. In theresults 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°C and the highest temperature was 8.31°C as well as telegram notification of early warning (2.58°C), evacuation vaccine (2.31°C), and exposed vaccine (8.6°C). With this research a Warning System was obtained which was achieved with telegram notifications namely early warning, evacuation vaccines and exposed vaccines to maintain vaccine quality.
Integrated Digital Sphygmomanometer for Simultaneous Blood Pressure and Body Temperature Monitoring Aulia, Farahun Nisa; Pudji, Andjar; Sumber, Sumber
Jurnal Teknokes Vol. 17 No. 2 (2024): June
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

Hypertension is a condition when the blood pressure against the artery walls is too high. High blood pressure can occur because of the patient's temperature, because the higher the patient's body temperature the higher the blood pressure. Therefore, body temperature must be detected before measuring blood pressure in patients. These Digital Tension and Body Temperature parameters are usually still used separately. Because of that, we had the idea to make these two parameters into one unit to facilitate health monitoring. The design of this tool uses the MPX5050GP sensor as a blood pressure detector, the MLX90614 sensor as a body temperature detector and the two sensors are connected directly to the Arduino UNO microcontroller to be processed and later displayed on the Nextion LCD later. The measurement results with the MPX5050GP and MLX9061 showed that the largest systolic error was 2.23% and the smallest was 0.53%. The biggest diastole error was 4.69% and the smallest was 1.79%. The biggest body temperature error is 1.65% and the smallest is 0.45%.
Digital Sphygmomanometer Detects Systole Diastolic Display Aulia, Farahun Nisa; Pudji, Andjar; Sumber, Sumber; Ullah, Naqeeb
Jurnal Teknokes Vol. 16 No. 4 (2023): December
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

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.
Monitoring the Occurrence of Alarms in Internet of Things-Based HFNC With Analysis of Signal Increases Before Blockages Error Widyaningtyas, Dwi; Mak’ruf, Muhammad Ridha; Pudji, Andjar
Jurnal Teknokes Vol. 16 No. 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

HFNC must be closely monitored by nurses to increase the flow rate when the patient's condition worsens. The monitoring occurs every hour to assess the results of HFNC administration. If the patient's condition persists, the flow given to HFNC will be increased. Thus, careful monitoring is essential during oxygen therapy with HFNC to ensure the patient's oxygen dose remains consistent. Despite debates about aerosol side effects, HFNC has proven effective in increasing blood oxygen levels and improving lung performance. This study aims to analyze HFNC errors leading to decreased flow. The research employs a temperature setting of 34ºC and a flow setting of 30-60 LPM. Under a flow setting of 30 LPM, the average pressure value before the error is 0 in process 2, and after the error, it remains 0, indicating a Blockage error as notified by IoT. Similarly, under the same flow setting, the average pressure value before the error is 0 in process 1, and after the error, it remains 0, indicating a leaking error based on the IoT notification and tool condition. The study reveals an average error of 3.8 for Blockage and 1.5 for Leaking conditions. Future research could explore developments such as employing a more sensitive pressure sensor, like the MPX5010DP, and incorporating batteries to enhance the module's portability without the need for a voltage source.
Using Android Technology for Early Detection of Stunting in Toddlers in Krembangan Selatan Ridha Makruf, Muhammad; Pudji, Andjar; Nugraha, Priyambada Cahya; Wisana, I Dewa Gede Hari
Frontiers in Community Service and Empowerment Vol. 4 No. 3 (2025): September
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v4i3.116

Abstract

Stunting is a long-term health problem that mainly impacts the growth and development of young children, particularly in residential areas like Kelurahan Krembangan Selatan, Surabaya. A significant obstacle in preventing stunting is finding a practical way to assess children's nutritional status. This community study aims to raise awareness and educate people about the use of Android-based tools for monitoring body mass index (BMI) and basal metabolic rate (BMR) as innovative methods for detecting stunting risk. The device, tested on 16 infants, enables users to submit detailed data to a web platform for further analysis. Findings reveal that this tool simplifies processes, accelerates data handling, and provides quicker access to up-to-date information, thereby reducing the burden of manual tasks. Results also show that most infants have healthy growth, although some individuals may need more time to understand the benefits. In general, this web-based solution greatly improves the precision and speed of stunting detection and could be widely adopted in areas with limited healthcare infrastructure. However, the study is limited by its small sample size and limited assessment of result length. Future research should focus on a broader population and integrating this tool into larger healthcare systems. This innovation facilitates timely and accurate monitoring of young children's health. The hope is that it will become part of regular posyandu services to help strengthen the stunting prevention program across the Puskesmas Krembangan Selatan area.
Analysis of Changes in Flow Setting Against Rise Time Using Gas Board 7500E Sensor on Bubble CPAP Pudji, Andjar; Amrinsani, Farid; Luthfiyah, Sari; Lusiana, Lusiana; Misra, Shubhrojit; Ahniar, Nur Hasanah; Barus, Yenda Mita; Lamidi , Lamidi
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 2 (2022): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i2.143

Abstract

Respiratory distress syndrome (RDS) is a breathing disorder that occurs in newborns, often in premature babies born before 28 weeks of gestation. The bubble CPAP (Continuous Positive Airways Pressure) is a device used to provide positive pressure to newborns who can breathe spontaneously but are still prone to apnoea. The rise time is the time it takes for the airway pressure to reach the maximum standard value. The aim of this study is to analyze the changes in flow regulation during the rise time using a 7500E gas sensor card on a bubble CPAP probe. The method used in this study is to use the mean hijacking of the sensor to reduce the noise generated by the sensor. When analyzing the data, the researcher recorded data up to five times and calculated the mean measurement error. The research design is calibrated to confirm the correctness of the displayed values. The results of the data analysis are a mean error value of 0.88% at a setting of 30% oxygen content, 0.78% at a setting of 50%, and 0.95% at a setting of 90%. For liters per minute (LPM) at the 1 LPM and 5 LPM settings, the mean error values are 0.18 % and 0.03 % for the 10 LPM setting. From the test results with 3 bubble CPAP devices, it appears that when a high LPM setting is used, the oxygen concentration is reached faster with a mean value of ±10 seconds. The conclusion from this study shows that increasing the oxygen flow rate affects the duration of the rise in bubble CPAP oxygen concentration. The implication of this study is that this data will help add artificial intelligence to bubble CPAP to automatically determine settings by combining breathing data from patients.
QRS Complex Detection on Heart Rate Variability Reading Using Discrete Wavelet Transform Wihantara, Arga; Wisana, I Dewa Gede Hari; Pudji, Andjar; Luthfiyah, Sari; Athavale, Vijay Anant
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.v4i4.159

Abstract

Heart Rate Variability or heart rate in humans is used to monitor the function of the human heart. This research designed a tool to compare the results of heart rate readings using the discrete wavelet transform method to facilitate the detection of R peak. This can be obtained by evaluating and studying each decomposition result from level 1 to level 4 on Discrete Wavelet Transform processing using Haar mother wavelets. This study further used a raspberry pi 3B as the microcontroller of the data processor obtained from the ECG module. Based on the results obtained in this study, it can be concluded that in heart rate readings, level 2 decomposition details coefficient had the best value as data processing that helps the heart rate readings with an error value of 0.531% compared to HRV readings that obtained 0.005 using phantom tools and a standard deviation of 0.039. Furthermore, the advantage obtained from this tool is a good precision value in HRV and BPM readings. In reading the HRV of the respondent, it was found that each initial condition of the patient's HRV would be high due to the respondent's unstable condition. The disadvantage of this tool is a delay in running the program and no display in the form of a signal in real time.
QRS Detection on Heart Rate Variability Readings using Two Moving Average Methods Rizhky, Ayu Nissa Berlianri; Wisana, I Dewa Gede Hari; Pudji, Andjar; Des, Sima
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.v5i1.165

Abstract

Heart Rate Variability or the average deviation between heartbeats in humans is influenced by the autonomic nervous system control of heart function. Monitoring HRV is necessary to diagnose the underlying pathophysiology of hypertension, optimize treatment modalities for hypertensive patients with signs of autonomic dysfunction, and predict cardiovascular events in the heart. This study focused on providing an overview of QRS complex detection for heart rate variability or HRV reading using the Two Moving Average method in detecting heart in humans. In addition, current research also determine QRS complex detection for heart rate variability reading by adding a window size feature, then create a QRS Complex detection tool for HRV reading using the Two Moving Average method by adding a window size feature. Furthermore, another aim of this study is to know the FFT signal results in order to see the frequency of each ECG signal generated by the patient. In this study, the use of the Two Moving Average method or moving average makes it easier to find the R peak-to-peak signal, so the heartbeats reading is easier as well. In this study, QRS complex signal detection was performed using lead II pickups using the Two Moving Average method, which was used as a filter or attenuator of unsought signals such as P and T signals in ECG signals. In this case, this method is recommended for detecting patients with high P and T signal values. This was achieved by evaluating and studying each change in window size, an algorithm that uses an equation with two different window widths to generate signal features and detection thresholds, allowing it to adapt to various changes in QRS and noise levels.
Co-Authors Achmad Rizal Ahmad Fanani Ahniar, Nur Hasanah Ali, Latafat Mikayilzade Amrinsani, Farid Andayani, Dwi Herry Anggara Trisna Nugraha Anita Miftahul Maghfiroh Arniningtyas, Aprilina Gayuh Athavale, Vijay Anant Aulia, Farahun Nisa Bambang Guruh Irianto Barus, Yenda Mita Bogavev, Sergey A. Des, Sima Endro Yulianto Fajar, Fathul Hermawan, Aska Putri I Dewa Gede Hari Wisana Indrato, Tri Bowo Kirana, Vanda Catur Lamidi , Lamidi Lusiana Lusiana Luthfiyah, Sari Mak’ruf, Muhammad Ridha Melinda, Cantika Misra, Shubhrojit Mufarid, Muhammad Nezar Abdullah Nugraha, Priyambada Cahya Oka, Gede Aditya Mahendra Oka, I Komang Yogi Mahardika Priyambada Cahya Nugraha Rafsanzani, Edo Ramadhan, Fiqih Fahrur Ridha Makruf, Muhammad Rizhky, Ayu Nissa Berlianri Sofyan, Mochammad Sumber, Sumber Syaifudin Syaifudin, Syaifudin Thongpance, Nuntachai Ullah, Naqeeb Utomo, Bedjo Widyaningtyas, Dwi Wihantara, Arga Yan, Shengjie