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All Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics ELECTRA : Electrical Engineering Articles International Journal of Advanced Health Science and Technology Frontiers in Community Service and Empowerment Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Anita Miftahul Maghfiroh
Department Of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Materials Science & Nanotechnology Nursing Public Health Other

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Entrepreneur Approach: Implementation of Telemedicine System for Early Detection of Stunting in Wonoayu Village, Sidoarjo Maghfiroh, Anita Miftahul; Endro Yulianto; Syaifudin
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.v4i1.79

Abstract

Stunting is a serious health problem in Indonesia, especially in rural areas with limited access to health services. Wonoayu Village, Sidoarjo, is one of the areas that still faces challenges in early detection of stunting in children under five. To overcome this problem, the Partner Village Development Program (PPDM) was implemented with the aim of utilizing telemedicine technology through the Pelita application. This application is designed to help Posyandu cadres detect the risk of stunting quickly and accurately, as well as provide more effective health monitoring services. The main contributions of this program include developing the Pelita application, outreach to the community and health workers, providing tablet assistance to support application operations, as well as implementing the application in Posyandu activities. The results of this program show an increase in the capacity of Posyandu cadres in monitoring children's health, easy access to accurate health data, and faster and more efficient early detection of stunting. In conclusion, the implementation of the telemedicine system through the Pelita application has had a positive impact in overcoming the stunting problem in Wonoayu Village. This application facilitates structured monitoring of children's health, enabling early intervention for children at risk of stunting. The implication of this program is the need for continuous maintenance and development so that the application can continue to be used optimally and become a model for other regions in efforts to reduce stunting rates in Indonesia.
Embedded Digital Filter System on Microcontroller to Reduce Noise in Single Lead Electrocardiography Design Setiawan, Singgih Yudha; Miftahul Maghfiroh , Anita
Jurnal Teknokes Vol. 18 No. 1 (2025): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

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.
Design of Incu Analyzer for IoT-based Baby Incubator Calibration Septiana, Silvi Dwi; Syaifudin, Syaifudin; Maghfiroh, Anita Miftahul; Huynh, Phuoc-Hai
Jurnal Teknokes Vol. 16 No. 3 (2023): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

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.
aby Incubator Calibration", Jurnal Teknokes, vol. 17, no. 1, pp. 20–28, March. 2024. Design of Incu Analyzer for IoT-Based Baby Incubator Calibration Maulani, Salsabilla Kusuma; Syaifudin, Syaifudin; Maghfiroh, Anita Miftahul; Wakidi, Levana Forra
Jurnal Teknokes Vol. 17 No. 1 (2024): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

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.
Design of Ambulatory Blood Pressure Monitoring for IOT-Based Hypertension Patients Sari, Alvy Noorlatifa; C. N, Priyambada; Mak’ruf, Muhammad Ridha; Ariswati, Her Gumiwang; T.P., Moch. Prastawa Assalim; Maghfiroh, Anita Miftahul
Jurnal Teknokes Vol. 17 No. 1 (2024): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

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.
Digital Filter Design to Reduce Motion Artifacts in Electrocardiogram Signals Based on IIR Filter Maghfiroh, Anita Miftahul; Setiawan, Singgih Yudha; Mujahid, Muhammad Umer Farooq
Jurnal Teknokes Vol. 16 No. 4 (2023): December
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

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.
Assistance of Health Personnel in The Implementation of Calibration Results in Public Hospitals Dr. Iskak Tulungagung: Assistance of Health Personnel in The Implementation of Calibration Results in Public Hospitals Dr. Iskak Tulungagung Maghfiroh, Anita Miftahul; Yulianto, Endro; Syaifudin
Frontiers in Community Service and Empowerment Vol. 2 No. 3 (2023): September
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v2i3.46

Abstract

Optimal quality of health services depends on the accuracy of medical devices. In an effort to improve quality standards, Dr. General Hospital Iskak Tulungagung implements a program to assist health workers in understanding and applying the results of medical device calibration. This research aims to increase health workers' knowledge about calibration, strengthen patient confidence, and improve the accuracy of diagnosis and treatment. This research contributes to improving the competency of health workers and increasing patient satisfaction through assistance in implementing calibration results. This contribution is important in building public trust in health services. The mentoring program involves regular counseling, practical workshops, skills training, as well as individual mentoring by a team of calibration experts. A feedback system is also implemented for continuous evaluation and improvement. This research shows a significant increase in health workers' understanding of medical device calibration. Patients report higher levels of satisfaction with services provided by healthcare professionals who use calibrated devices. This mentoring program was successful in increasing health workers' understanding of calibration, building patient trust, and increasing the accuracy of diagnosis and treatment. This success indicates the importance of assistance in the context of implementing calibration results in hospitals. The results of this research have positive implications for improving health service quality standards. These implications extend to the health education sector and clinical practice, strengthening evidence-based practice and increasing public trust in the health system. Thus, the mentoring program becomes a viable model for improving the quality of health services in hospitals and other health institutions
Improving Heart Rate Measurement Accuracy by Reducing Artifact Noise from Finger Sensors Using Digital Filters Maghfiroh, Anita Miftahul; Soetjiatie, Liliek; Irianto, Bambang Guruh; Triwiyanto , Triwiyanto; Hidayanti, Nuril; Rizal, Achmad
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.v4i2.144

Abstract

Heart rate is an important indicator in the health sector that can be used as an effective and rapid evaluation to determine the health status of the body. Motion or noise artifacts, power line interference, low amplitude PPG, and signal noise are all issues that might arise when measuring heart rate. This study aims to develop a digital filter that reduces noise artifacts on the finger sensor to improve heart rate measurement accuracy. Adaptive LMS and Butterworth are the two types of digital filters used in this research. In this study, data were collected from the patient while he or she was calm and moving around. In this research, the Nellcor finger sensor was employed to assess the blood flow in the fingers. The heart rate sensor will detect any changes in heart rate, and the measurement results will be presented on a personal computer (PC) as signals and heart rate values. The results of this investigation showed that utilizing an adaptive LMS filter and a Butterworth low pass filter with a cut-off frequency of 6Hz, order 4, and a sampling frequency of 1000Hz, with the Butterworth filter producing the least error value of 7.57 and adaptive LMS maximum error value of 27.65 as predicted by the researcher to eliminate noise artifacts. This research could be applied to other healthcare equipment systems that are being monitored to increase patient measurement accuracy.
Performance Comparison of ECG Bio-Amplifier Between Single and Bi-Polar Supply Using Spectrum Analysis Based on Fast Fourier Transform Maghfiroh, Anita Miftahul; Musvika, Syevana Dita; Abdullayev, Vugar
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.v4i4.156

Abstract

Heart performance is one of the vital signs that cannot be ignored and must be monitored periodically. In this case, the measuring range of the human heart rate is between 60-100 BPM, in which the measurement unit is expressed as Beat per Minute (BPM). Therefore, it is very important to use Electrocardiograph equipment to tap the electrical signals of the heart with correct readings and minimal interference such as frequency of electric lines and noise. The purpose of this study was to compare the instrumentation amplifier using a single supply with a bi-polar supply in the ECG design to select the best instrumentation amplifier, which is expected to contribute to other researchers in choosing the right type of instrumentation amplifier that is efficient and qualified. In this case, the research was carried out by comparing two single supply instrumentation amplifiers using the AD623 IC and the bi-polar supply using the AD620 IC, continued by the use of Fast Fourier Transform (FFT) to determine the frequency spectrum of the ECG signal. The test results further showed that the use of single power instrumentation could reduce more noise compared to the Bi-Polar instrumentation amplifier by strengthening 60 dB Low pass filter circuit. Meanwhile, the FFT results in finding the frequency spectrum explained that the FFT results on the ECG signal provided information that the ECG signal had a frequency range between 0.05 Hz and 100 Hz. When the frequency is more than 100 Hz, the frequency started to be suppressed and when the frequency is less than 100 Hz, the frequency is passed. This research could be further used as a reference by other researchers to determine which type of instrumentation amplifier is better.
Analysis of Temperature Distribution in Blood Banks Through Storage of Measurement Results with IoT Monitoring in the Blood Donation Unit of Indonesian Red Cross Surabaya Wardhana, Farisy Azis Satria; Maghfiroh, Anita Miftahul; Titisari, Dyah; Sumber, Sumber; Abdullayev, Vugar
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.v5i2.170

Abstract

Temperature or temperature is an indicator of the degree of heat of an object. Cold chain or cold chain is a supply chain system that considers the temperature level in the process. Cold chain to keep frozen or chilled products in an environment with a certain temperature during production, storage, transportation, processing and sales. This is intended to maintain product quality. The purpose of this study was to determine the temperature distribution in the Blood bank at Blood Transfusion Unit Indonesian Red Cross Surabaya City which was used for storage of blood products. By using the ESP32 system and the DS18B20 temperature sensor which will then be monitored via IoT, it will make it easier for users to monitor. The results of these measurements will be stored in a micro SD card for analysis. The data is processed by Non-Parametric Test resulting in an interpretation that the temperature of each shelf is different due to the difference in the location of the sensor placement. The temperature difference is also influenced by the pattern of use and the process of heat transfer from the bottom to the top of the shelf. This research was considered successful with the result of the highest temperature distribution being 3°C and the lowest being 2°C. The location of these racks can be useful in determining day-to-day monitoring measuring points. This value has met the standard for storage of blood products, which is in the range of 2°C-6°C.
Co-Authors Abdullayev, Vugar Achmad Rizal Achmad Rizal Andjar Pudji Ariswati, Her Gumiwang Bambang Guruh Irianto Bayu Trisono Aji Pambudi C. N, Priyambada Dita Musvika, Syevana Dyah Titisari Dyah Titisari, Dyah Endro Yulianto Farid Amrinsani Farisy Azis Satria Wardhana Forra Wakidi, Levana Hidayanti, Nuril Huynh, Phuoc-Hai I Dewa Hari Wisana Levana Forra Wakidi Liliek Soetjiatie Mak’ruf, Muhammad Ridha Maulani, Salsabilla Kusuma Mujahid, Muhammad Umer Farooq Musvika, Syevana Dita Nina Havilda Nuntachai Thongpance Nuril Hidayanti Pudji, Andjar Rafi Maulana Firmansyah Sari, Alvy Noorlatifa Septiana, Silvi Dwi Setiawan, Singgih Yudha Shubhrojit Misra Sima Das Singgih Yudha Setiawan Steyve Nyatte Sumber Sumber Sumber, Sumber Susilo, Dody Syaifudin Syaifudin Syaifudin, Syaifudin Syevana Dita Musvika T.P., Moch. Prastawa Assalim Thongpance, Nuntachai Triwiyanto , Triwiyanto Triwiyanto Triwiyanto Utomo, Bedjo Vijay Kumar Sharma Vugar Abdullayev Wahyu Caesarendra Wakidi, Levana Forra Wardhana, Farisy Azis Satria Yudha Setiawan, Singgih