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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

Author-ID : 454754

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

Published : 49 Documents Claim Missing Document

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Rancang Bangun Defibrillator dengan Joule Rendah Fahmi Ardhi; Bambang Guruh Irianto; Endro Yulianto
Jurnal Teknokes Vol 13 No 2 (2020): September
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Sinyal monofasik memiliki satu arus puncak tinggi yang dapat menyebabkan kerusakan pada jantung. Tujuan dari penelitian ini yaitu untuk mendesain suatu defibrillator yang dapat meminimalisir resiko atau dampak akibat penggunaan sinyal monofasik. Kontribusi peneitian ini adalah sistem dapat menghasilkan sinyal bifasik yang membutuhkan tegangan lebih rendah dan energi lebih rendah daripada sinyal monofasik, untuk dapat menghasilkan tegangan dan energi yang lebih rendah maka dibutuhkan dua kondensator sehingga pengisian dapat disesuaikan dengan rumus perhitungan energi. Penelitian ini menggunakan dua mosfet dan dua kondensator dengan spesifikasi 1000 uF 400 V, proses menghasilkan sinyal bifasik dilakukan dengan pengisian dua kondensator, jika nilai tegangan pada kondensator telah tercapai maka pengisian akan berhenti sesuai setting nilai tegangan pada pembagian tegangan selanjutnya mosfet akan mengatur pembuangan muatan pada kondensator secara bergantian dan membalik paddle. Penggunaan sinyal bifasik ditentukan yaitu kondensator I memuat tegangan sebesar 2/3 nilai setting dan kondensator II memuat tegangan sebesar 1/3 nilai setting. Hasil dari pengukuran pada sinyal bifasik menunjukkan adanya perbedaan muatan kondensator dengan desain penelitian, nilai rata – rata error pada kondensator I didapatkan sebesar 0,36 % dan 0,74 % pada kondensator II.Hasil penelitian ini dapat di jadikan referensi untuk penelitian selanjutnya dengan memperbaiki atau meminimalisir nilai error pada penggunaan kedua sinyal dan meningkatkan nilai energi pada alat. Monophasic signals have a high peak current which can cause damage to the heart. The purpose of this study is to design a defibrillator that can minimize the risk or impact due to the use of monophasic signals. The contribution of this research is that the system can produce biphasic signals which require lower voltage and lower energy than monophasic signals, to be able to produce lower voltage and energy, two condensers are needed so that charging can be adjusted to the energy calculation formula. This study uses two mosfets and two condensers with specifications of 1000 uF 400 V, the process of producing biphasic signals is done by charging two condensers, if the voltage value on the condenser has been reached, the charging will stop according to the voltage value setting at the next voltage division. the condenser alternately and flips the paddle. The use of biphasic signals is determined, ie condenser I contains a voltage of 2/3 the setting value and condenser II contains a voltage of 1/3 the setting value. The results of measurements on the biphasic signal showed that there were differences in the load of the condenser with the research design, the average error value in the condenser I was 0.36% and 0.74% in the condenser II. The results of this study can be used as a reference for further research by improving or minimizing the error value in the use of both signals and increasing the energy value of the device.

Infant Warmer Equipped with Digital Weight Scales Muhammad Jundi Al'Aziz; Bambang Guruh Irianto; Abd Kholiq
Jurnal Teknokes Vol 14 No 2 (2021): September
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v14i2.4

Scales Scales in the world of health are used to measure human body weight such as baby scales. Newborns are very important to be weighed because it is used as a measure of the baby's health indication ranging from 2.4 kg to 4.2 kg. The author makes a tool for this to make it easier for users to weigh with a 7 segment display on the Infant Warmer tool and external calibration. By using a loadcell sensor with a maximum capacity of 5 kg, the loadcell can detect the weight of the load where the voltage generated by the loadcell of 0.7 mV at a load of 1 kg is amplified to 0.62 V by the PSA circuit using the AD620 IC and then processed by Arudino UNO as a microcontroller. The weight results will be displayed on the 7Segment display located on the Infant Warmer tool. In the study, the measured load included a weight of 0 kg to a maximum weight of 5 kg. The measurement of the data results was carried out 5 times each by comparing the modules that had been made with the standard weight, namely (lead). The data from the measurement results of the research module shows that when the weight of the measurement at 1 kg has an error percentage of 0.08%. Measurements at a weight of 2 kg have an error percentage of 0.05%. Measurement of weight 3 kg has a presentation error of 0.01%. Measurements at a weight of 4 kg have a presentation error of 0.02%. And measurements at a weight of 5 kg have an error percentage of 0.04%. Then the data from the measurement results of the research module shows the largest error presentation of 0.08% at a weight of 1 kg. And the data from the measurement results of the research module shows the smallest error presentation of 0.01% at a weight of 3 kg. Making a research module in the form of a scale placed on an infant warmer can make it easier for the wearer.

Twelve Channel ECG Phantom Based on MEGA2560 and DAC-MCP4921 Fadilla Putri Devito Nur Azizah; Bambang Guruh Irianto; Endro Yulianto
Jurnal Teknokes Vol 14 No 2 (2021): September
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v14i2.5

Electrocardiograph (ECG) is one of the diagnostic sciences that is often studied in modern medicine, one of which is to diagnose and treat diseases caused by the heart. Therefore, it is necessary to check the function of the ECG recorder tool, namely by carrying out the tool calibration procedure using Phantom ECG. The purpose of this research is to design a Phantom ECG for a 12 channel ECG device which includes lead I, lead II, lead III, aVR, aVL, aVF, V1, V2, V3, V4, V5, and V6 and completes it with a sensitivity selector. The contribution of this research is that the tool can be used as a calibration tool for the ECG Recorder and can be used as a learning medium in the world of health. In order to create a signal that matches the original, this tool uses a heart signal formation method using a DAC type MCP4921 with an ATMEGA2560 microcontroller and for display settings using a 2.4 inch TFT Nextion Display. The MCP4921 type DAC converts the digital signal data into analog data which will then be forwarded to the resistor network circuit as a signal formation for each lead. In the measurement results, the error in measurements with sensitivity of 0.5 mV, 1.0 mV, and 2.0 mV using an ECG Recorder at BPM 30 is 0.00%, BPM 60 is 0.00%, BPM 120 is 0.00%, and BPM 180 is 0.56%. The results showed that the biggest error was found in BPM 180, which was 0.56%.

Central Monitor Based On Personal Computer Using Single Wireless Receiver Ahmad Fanani; Bambang Guruh Irianto; Andjar Pudji
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 1 (2019): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Central monitor is a tool that monitors the patient's condition with several devices into one display on a personal computer (PC). Pulse Oxymetri 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%.

Central Monitor Based On Personal Computer Using One Wireless Receiver Muhammad Nezar Abdullah Mufarid; Bambang Guruh Irianto; Andjar Pudji
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 1 (2019): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

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 in tolerance because the tolerance limit is 5%

A Low Cost Electrosurgery Unit (ESU) Design with Monopolar and Bipolar Methods Bambang Guruh Irianto; Levana Forra Wakidi; Ade Ryan Endarta; Madeha Ishag Adam; Hafsa Aamir
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 2 (2022): May
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i2.1

Surgery using a conventional scalpel causes the patient to lose a lot of blood; this needs to be avoided. The purpose of this research is to make a replacement for the conventional scalpel using a device that utilizes high frequency with a duty cycle setting that is centered at one point. The design of the device is equipped with monopolar and bipolar pulse selection with an increased frequency at 400 kHz, where the duty cycle of bipolar mode can be set to 100% on and the coagulation duty cycle is 6% on and 94% off. The power output of the module was tested using an ESU Analyzer, while cutting the bipolar forceps used soap and meat media. The power inverter circuit was set with the module impedance values of 300Ω, 400Ω, and 500Ω. Power settings were set at high, medium, and low with 2 pulse cutting and coagulation modes. The average power resulted in the lowest power of 32.3Watt and the highest power cutting mode of 58.3Watt. Meanwhile, in the coagulation mode of the lowest power of 3Watt and the highest power of 3Watt, the impedance setting is 500Ω. The module can output power linearly according to settings and can cut media well. Furthermore, the development of making Electrosurgery design in this study is expected to facilitate the surgical process during the surgical procedures.

Improved Heart Rate Measurement Accuracy by Reducing Artifact Noise from Finger Sensors Using Digital Filters Anita Miftahul Maghfiroh; Liliek Soetjiatie; Bambang Guruh Irianto; Triwiyanto Triwiyanto; Achmad Rizal; Nuril Hidayanti
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 2 (2022): May
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i2.4

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.

Identification of Lung Cancer Using a Back Propagation Neural Network Bambang Guruh Irianto; Mohamad Ridha Mak'ruf; Dyah Titisari
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp91-97

Reading image of lung cancer screening well-known as X-ray by practitioners are sometimes subjective. This research tried to create software that can detect lung cancer as a comparison of the work of medical practitioners using artificial neural networks (ANN), with X-ray movies taken from the tool diagnostic radiography (DR) stored in the compact disc. The dependent variable observation in this study is the identification of DR X-ray image size of 1024 x 1024 pixels. A total of 10 images X-ray which has been observed by the physician radiology. With 5 images X-ray normal and 5 images lung cancer. In this study, the image processing is done through three stages: neighborhood averaging, median filter and histogram equalization. The result of these features are grouped in normal categories. From test results stating the truth 80%. To facilitate the user in the lung disease pattern recognition. GUI applications design using MATLAB. We use some form of image processing which includes form training andtesting. The best parameters obtained from this research include learning rate=0.3, the number of hidden layer=30 and tolerance error=10-8. From the results obtained by the level of accuracy of the training image of normal lung, lung cancer in a row is 80%. Overall the level of accuracy of the results is 80%.

Design of Electro Cardiograph Machine Based on Atmega Microcontroller Bambang Guruh Irianto; Budhiaji Budhiaji; Syaifudin Syaifudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp328-333

ECG machine on the market, has a considerable cost, the technology used is still very complicated. In efficient and display ECG still not interconnect with other devices. In this study, the researchers designed ECG machine 12 channels to take advantage ATMega microcontroller technology, Graphic LCD 64x12, which can be obtained on the market at low prices, thus yielding a portable ECG apparatus, can interconnect with other devices and cheap. Objective is to design a ECG machine using ATMega microcontroller technology, by making a series of bio amplifier ECG, measuring the amplitude and frequency response bio amplifier, and make the ECG signal processing circuit with microcontroller, which can be displayed on a 128x64 graphic LCD or PC. To answer the research objectives, the design of the research is to use pure experimental research is the design of experimental series. The independent variable ECG phantom or human and the dependent variable is the ECG machine. While the design ECG machine through the stages as follows: circuit design, circuit testing and calibration output. The conclusion of this study: The result of the design of microcontroller ATMega program listings can be used transform and run the program to the ECG machine to know the number of heartbeats, a beep sound every wave R the ECG signal, displayed on the graphical LCD, PC, printed through a computer, and can be stored in computer.

Technology Content Analysis with Technometric Theory Approach to Improve Performance in Radiodiagnostic Installation Bambang Guruh Irianto; Abdul Rahman; Herry Andayani
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Installation Radiodiagnostic RSU Haji Surabaya facilitated some medical equipment for disease examinations and have three technology criteria: Examination by high technology equipment (single-slice CT Scan), examination by intermediate equipment (General x-ray ≤ 300 mA / 125 KV) and examination by simple equipment (Portable Dental x-ray ≤ 8 mA / 70 KV). When viewed in terms of revenue contribution to the Hospital, Radiodiagnostic Installation revenue from 2008 to 2012 has decreased continuously. The aim of research for measuring the contribution of each component technology: Tehnoware, Humanware, Inforware, and Orgaware on radiodiagnostic installation with the basic technometric theory approach using indicator TCC (Technology Contribution Coefficien). The final results showed that a gap is almost evenly from the three technology components Humanware = 0519, Inforware = 0.538, orgaware = 0.534, but the gap is greatest in technology components Technoware = (0387, 0258, 0168), meaning that the strategy development units Radiodiagnostic Installation prioritized to increase in aspect Technoware (rejuvenation medical equipment). DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7676

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

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