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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics Indonesian Journal of Electrical Engineering and Computer Science Jurnal INFOTEL Frontiers in Community Service and Empowerment Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Bambang Guruh Irianto
Poltekkes Kemenkes Surabaya
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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Pressure Sensor Stability Analysis of Positive End Expiratory Pressure Parameters in Flow Analyzer Design Wakidi, Levana Forra; Irianto, Bambang Guruh; Kholiq, Abd.; Prasetyo, Eko Dedi; P, Chandrasekaran
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.v5i1.164

Abstract

The Positive End Expiratory Pressure (PEEP) parameter is a parameter that must be considered in the process of determining the patient's condition, a safe threshold, and must be in accordance with the settings. However, the PEEP value on the ventilator often does not match the settings so that the measuring instrument capable of detecting PEEP on the ventilator is the Flow Analyzer. The purpose of this study was to design a Flow Analyzer using the MPX2010 sensor to analyze the stability of the PEEP parameters on the ventilator. The main contribution of this research is the design of a simple Flow Analyzer device with stable monitoring of PEEP parameters and the availability of many required setting options. This study used PEEP settings of 0, 5, 8, 11, 14, 17, 20, 23, 26, and 29 cmH2O. In this case, data were collected using a ventilator with VCV (Volume Control Ventilation) and PCV (Pressure Control Ventilation) modes. The tool used for reference from standard measurements was the Standard Flow Analyzer tool. The results of this study indicated that the measurement accuracy of PEEP parameters with the Flow Analyzer module at each PEEP setting had the smallest error of ±0% at 0 cmH2O setting so that it also had the smallest value of 0 by standard. deviation and uncertainty (UA) value 0 at each setting. Meanwhile, the Flow Analyzer measurement module had the largest error in the 5 cmH2O setting, which was ±13.2% with the largest correction value of 0.77. Based on the data obtained, the monitoring of the PEEP parameter was considered quite stable even though the value was still out of tolerance. Therefore, the monitoring of PEEP stability parameters can be implemented during the ventilator calibration process in order to analyze damage and reduce the time of damage to the ventilator.
Monitoring Baby Incubator Central Based Raspberry Pi Zero W with Temperature and Skin Temperature Parameter Based on IoT Ningsih, Fransiska Ima Setia; Irianto, Bambang Guruh; Lamidi , Lamidi; Abdulhamid, Mohanad
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i3.183

Abstract

This research is dedicated to enhancing the quality of care provided to vulnerable infants by proactively addressing potential challenges. The goal is to recreate the optimal environmental conditions resembling the mother's womb—ensuring precise maintenance of temperature, humidity, and oxygen levels—through the utilization of infant incubators. The primary objective of this study revolves around the development of an autonomous monitoring tool tailored for midwives and healthcare personnel responsible for overseeing multiple infant incubators. Driven by the synergy of an ESP32 module and Raspberry Pi Zero W, this innovative tool seamlessly transfers crucial data through the vast network of the Internet of Things (IoT). The acquired results are meticulously compared against data obtained from an incubator analyzer, employing a meticulously designed pre- and post-experimental framework. Examination of the chamber temperature measurement data brings to light a maximum error threshold of 0.009%, corresponding to an error value of 3. Notwithstanding certain persisting measurement discrepancies within the developed module, the study's profound utility is projected to significantly aid medical professionals in their concurrent monitoring of multiple infant incubators, thereby mitigating the impact of these limitations and advancing the realm of neonatal care.
Central Monitor Based On Personal Computer Using One Wireless Receiver Mufarid, Muhammad Nezar Abdullah; Irianto, Bambang Guruh; Pudji, Andjar
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 1 (2019): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i1.236

Abstract

A Central monitor is a tool in the health field that serves to monitor the patient's condition which is centralized in one monitor display centrally. In this scientific paper raised wireless systems for sending data to one monitor. In this module there are Electrocardiograph (EKG) parameters which are a parameter to detect and measure the electrical activity of the heart muscle using measurements of biopotential signals obtained from the surface of the body. From these measurements, an ECG signal will be obtained to produce a heart rate per minute (BPM). ECG signals are obtained from measurements of the electrical activity of the heart through electrodes placed on the patient's skin using the bipolar lead method. ECG signals will be processed using a microcontroller circuit as processors. Then the data will be sent to the PC using wireless HC-11. The data received by the PC, then processed using the Delphi application which will then display ECG charts and BPM results and abnormalities indicators if the BPM is in a condition above or below normal. By comparing the module with a standard measuring instrument, the biggest error is 0.99% which is still tolerance because the tolerance limit is 5%
Central Monitor Based On Personal Computer Using Single Wireless Receiver Fanani, Ahmad; Irianto, Bambang Guruh; Pudji, Andjar
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 1 (2019): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i1.242

Abstract

Central monitor is a tool that monitors the patient's condition with several devices into one display on a personal computer (PC). Pulse Oximetry serves to monitor the state of oxygen saturation in the patient's blood without going through blood gas analysis. This tool uses a wireless delivery system, HC-11 that can transmit data as far as 10 meters without obstruction. This tool uses a finger sensor, an analog signal conditioner and a microcontroller that is processed to produce a percentage value of SpO2 which is then sent through HC-11. The workings of this tool are very simple by entering the finger sensor on the finger and then it will be detected by the finger sensor that will be displayed on the PC. Digital data from the ADC Atmega is received by the personal computer (PC) via Bluetooth HC-011. Furthermore, the data is processed with the Delphi program and displayed on the monitor. Appears on the Delphi application. After measurement, get an error in the SpO2 parameter, the biggest error is 1.02% and get the smallest error 0.8%.
Development of Wireless Central Monitor Using X-bee Pro S2C (Electrocardiogram and Heart Rate) Ulumiddiniyah, Bariroh Izzatul; Irianto, Bambang Guruh; Hamzah, Thorib
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 1 (2020): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v2i1.256

Abstract

Centralized monitoring of the condition of patients with serious conditions that are carried out continuously and in real-time is very important. in the development of previous researchers have some shortcomings, namely sending data still using cable, completeness of parameters that are still small, close delivery distance, not real-time, and continue. The purpose of this study is that the thick system is done wirelessly, more parameters, longer delivery distance, and can monitor electrocardiogram and heart rate in real-time and continue. the contribution of this research is that the wireless system can send ECG and bpm in real-time, long-distance, and continuously. To make deliveries in real-time, this study uses 2 transmitters and 2 receivers. Electrocardiogram signal obtained from tapping Lead II, then processed using a microcontroller circuit and the results in the form of a heart signal will be. Data is sent using X-Bee Pro. Data is displayed in the form of a patient's heart and BPM signals. In measuring BPM values ​​obtained error values ​​in module 1 0.1388% for BPM 240 and 0.093% for BPM 180, in module 2 0.1388% for BPM 240 and 0.185% for BPM 180, data transmission can be done well at a distance of 8 meters, 10 meters, and 25 meters with a barrier. The results of this study indicate that sending wirelessly can be done at a certain distance and in real-time. This research can be implemented in a central monitor in a hospital with more patients
Implementation of Telemedicine-Based Baby Incubator Technology to Reduce Premature Infant Mortality Rates at Taman Health Center in Sidoarjo Guruh Irianto, Bambang; Mifthahul Maghfiroh, Anita; Rahmawati, Triana; Kholiq, Abdul; Purwanti, Dwi; Faiz Nafi'u Pradana, Much; Ramandani, Rifan; Muflih Ridwan, Muhamad; Luthfiyah, Sari
Frontiers in Community Service and Empowerment Vol. 4 No. 4 (2025): December
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v4i4.109

Abstract

Puskesmas in Sidoarjo Regency do not yet have facilities for monitoring LBW in real time via android either by health workers at the health centre or the patient's family. Puskesmas Taman serves communities spread across several villages with a coverage area spread across several villages. This is an obstacle for families to get access to monitor the patient's progress, because the patient is in the NICU or ICU room. Another thing is that there is no training for users in the use of telemedicine-based Baby Incubator equipment. The role of users and families of patients is very important to keep the equipment in good condition. However, operating trainings based on new technology for users have never been conducted. Efforts to solve the above problems are to carry out counselling and assistance in the use of baby incubator equipment to users including nurses, midwives and other non-health worker users, so as to increase the knowledge of officers or users which in turn will have an impact on increasing the productivity of officers or users and improving the quality of service at the health centre. The purpose of this Community Service is to increase the role and participation of Poltekkes Kemenkes Surabaya in improving the degree of public health in the Puskesmas Taman area, Sidoarjo Regency. The results of community service through the application of telemedicine-based Baby Incubator at Puskesmas Taman are increased knowledge and skills regarding telemedicine-based baby incubator equipment. This will improve health services, especially for babies who need intensive care. The implementation of this technology provides significant benefits, including increased accessibility of health services, speed of response to patient health conditions, family involvement in care, and efficient use of resources. Assistance to Puskesmas personnel and patient families in the form of training, monitoring and evaluation of the use of appropriate technology in the form of Telemedicine-based baby incubator utilization.
Telemedicine-Enabled Bedside Monitoring System for Low-Birth-Weight Infants: Strengthening Primary Healthcare Resilience and Family-Centered Neonatal Care in Indonesia Sari Luthfiyah; Bambang Guruh Irianto; Lusiana Lusiana; Abdul Kholiq; Syevana Dita Musvika; Much Faiz Nafi'u Pradana; Rifan Ramandani; Muhamad Muflih Ridwan
Frontiers in Community Service and Empowerment Vol. 5 No. 2 (2026): June
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v5i2.142

Abstract

Low Birth Weight (LBW) remains a critical neonatal health problem due to its strong association with increased morbidity and mortality risks, requiring continuous and accurate physiological monitoring. This community service program aimed to implement a telemedicine-based bedside monitoring system at Gedangan Community Health Center, Sidoarjo Regency, to improve neonatal care services and strengthen health worker capacity in managing LBW infants. The intervention addressed key challenges, including limited access to real-time monitoring data, insufficient technological integration in primary care settings, and the need for improved technical competence among health workers. The method employed a structured community engagement approach consisting of counseling, training, demonstration, re-demonstration, and continuous mentoring. Thirty health workers, including nurses, midwives, and electromedical personnel, participated in the program conducted over two days. Evaluation was performed through direct oral questioning and structured practical observation during device operation and simulation activities. The results indicated a significant improvement in participants’ knowledge and skills, with an increase in understanding of neonatal monitoring concepts and telemedicine application. Participants demonstrated improved ability to operate the bedside monitor, interpret vital sign parameters, and apply standard operating procedures. However, post-implementation evaluation revealed partial non-compliance with SOPs in device operation, maintenance, and repair, highlighting the need for continuous training and supervision. The telemedicine system successfully enabled real-time transmission of neonatal physiological data, improving accessibility for both health workers and families. In conclusion, the implementation of a telemedicine-based bedside monitoring system effectively enhanced the capacity of primary healthcare services for LBW infants. Continuous mentoring, infrastructure support, and periodic training are essential to ensure sustainability and optimal utilization of the technology in neonatal care.
Low-cost central monitor based personal computer with electrocardiogram and heart rate parameters via wireless XBee Pro Bambang Guruh Irianto; Anita Miftahul Maghfiroh
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 21, No 4: August 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v21i4.21474

Abstract

Heart rate signals and electrocardiograms are crucial indicators of a person’s health, particularly for individuals in intensive care units (ICU). The goal of this study is to wirelessly use a central monitoring system to continually and in real-time monitor the electrocardiogram signal and heart rate. The result of this research is that a wireless system can transmit continuous, distant, and real-time electrocardiogram and heart rate readings. Two transmitters and two receivers were used to send the signal in real-time. Lead II was used to capture the electrocardiogram (ECG) data, which was then processed by a microprocessor to determine the heart rate in beats per minute. The XBee Pro wireless was then used to transmit the data to the monitor in the form of an electrocardiogram and heart rate signal. The results of the XBee wireless performance test with statistics for determining heart rate value revealed that there was no discernible difference in the average value at a distance of 8, 10, 25, and 30 meters (P-value > 0.05). According to the study’s findings, wireless transmission is feasible over a limited distance and in real-time. Hospitals can use a central monitor to implement this research.
Telemedicine-based baby incubator system with DWT method to detect respiratory rate from electrocardiogram signals Bambang Guruh Irianto; Anita Miftahul Maghfiroh; Mohamad Sofie; Yuni Kusmiati; Abd. Kholiq
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 6: December 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i6.26048

Abstract

This pioneering research introduces a telemedicine-based baby incubator designed to accurately monitor premature babies’ electrical heart signals and respiratory rates. The research aims to monitor premature babies, especially those related to heart and respiratory problems. This research combines telemedicine technology with the discrete wavelet transform (DWT) method to obtain respiratory rate values from electrocardiogram (ECG) signal leads directly. This research contribution can be used for simultaneous and non-invasive monitoring of heart electrical signals and respiratory rate. By leveraging existing telemedicine infrastructure, this incubator enables real-time monitoring. Using a data-driven approach with premature babies as subjects, respiratory signals are captured using sensitive sensors and analyzed via the DWT method. The results show that the accuracy of this telemedicine-based incubator is superior in monitoring respiratory rate compared to conventional methods with a P-value>0.05. This study confirms the effectiveness of DWT-based telemedicine incubators in monitoring the breathing of premature babies, thereby offering superior performance compared to traditional methods. The implications resulting from this research as a whole, this telemedicine-based baby incubator marks a significant advancement in the care of premature babies, ensuring precise and real-time breathing monitoring.
Co-Authors ., Sumber Aamir, Hafsa Abd. Kholiq Abdul Kholik Abdul Kholiq Abdul Kholiq Abdul Rahman Abdulhamid, Mohanad Abhishek Mishra Achmad Rizal Achmad Rizal Adam, Madeha Ishag Ade Ryan Endarta Agus Susilo Wibowo Ahmad Fanani Ahmad Fanani Andayani, Dwi Herry Andjar Pudji Anggraini, Navira Anita Miftahul Maghfiroh Ariswati, Her Gumiwang Bahaa Eddine ELBAGHAZAOUI Budhiaji Budhiaji Budhiaji Budhiaji Candra Prastyadi Dwi Herry Andayani Dwi Herry Andayani Dwi Herry Andayani Dyah Purwitosari Dyah Titisari Dyah Titisari Dyah Titisari, Dyah Elbaghazaoui, Bahaa Eddine Elmira Rofida Al Haq Endarta, Ade Ryan Endro Yulianto Fadilla Putri Devito Nur Azizah Fahmi Ardhi Fahrudin Y., Muhamad Faiz Nafi'u Pradana, Much Fathul Huda Fransiska Ima Setia Ningsih Fuadi, Rifky Maulana Gumiwang, Her Hafsa Aamir Hamzah, Thorib Hanna Firdaus Her Gumiwang Ariswati Her Gumiwang Ariswati Herry Andayani Hidayanti, Nuril Huynh, and Phuoc-Hai Huynh, Phuoc-Hai I Dewa Gede Hari Wisana I KOMANG YOGI MAHARDIKA Indrato, Tri Bowo Jing Lu Kholiq, Abd KHOLIQ, ABD. Kumbhare, Ashish Lamidi , Lamidi Lamidi Lamidi Lamidi, Lamidi Levana Forra Wakidi Liliek Soetjiatie Lusiana Lusiana Luthfiyah, Sari Luthfiyah, Sari M. Yogi Riyantama Isjoni Madeha Ishag Adam Maghfiroh, Anita Mifthahul Mahardika, Melva Mansour Asghari Mifthahul Maghfiroh, Anita Mishra , Abhishek Misra, Shubhrojit Mohamad Ridha Mak'ruf Mohamad Sofie Mohanad Abdulhamid Much Faiz Nafi'u Pradana Mufarid, Muhammad Nezar Abdullah Muflih Ridwan, Muhamad Muhamad Muflih Ridwan Muhammad Amir Maruf Muhammad Fauzi Muhammad Fuad Nurillah Muhammad Iqbal Muhammad Jundi Al'Aziz Muhammad Nezar Abdullah Mufarid Mukhamad Ryan Nur Rokhman Ningsih, Fransiska Ima Setia Nora Bouzeghaia Nuril Hidayanti Nyatte, Steyve P, Chandrasekaran Pawana, I Putu Alit Phuoc-Hai Huynh Prasetyo, Eko Dedi Prastawa Asalim Tetra Putra Prastyadi, Candra Pudji, Andjar Purwitosari, Dyah Puspitasari, Dila Anggraeni Ramandani, Rifan Rathod, Yagnik Rifan Ramandani Rifky Maulana Fuadi Rizki Andriyanto Sari Luthfiyah Sari Luthfiyah Shankhwar, Vishwajeet Shubhrojit Misra Shubhrojit Misra Steyve Nyatte Syaifudin Syaifudin Syaifudin Syaifudin, Syaifudin Syevana Dita Musvika Tetra Putra, Moch Prastawa Assalim Torib Hamzah Triana Rahmawati Triwiyanto , Triwiyanto Triwiyanto Triwiyanto Ulumiddiniyah, Bariroh Izzatul Vishwajeet Shankhwar Wakidi, Levana Forra Wibowo, Agus Susilo Yuni Kusmiati