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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 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
Rahmawati, Triana
Politeknik Kesehatan Kementerian Kesehatan Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Feature and muscle selection for an effective hand motion classifier based on electromyography Triwiyanto Triwiyanto; Triana Rahmawati; I Putu Alit Pawana
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 7, No 2: June 2019
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.257 KB) | DOI: 10.52549/ijeei.v7i2.867

Abstract

An issue that arises in the hand motion classification based on the electromyography (EMG) system is the failure of choosing the right features and number of muscles. These parameters are fundamental in determining the accuracy and effectiveness of the classifier system. Therefore, the objective of this study is to develop and evaluate an effective hand motion classifier based on the EMG signal. The three-channel of EMG was collected by placing three pairs of electrodes on the surface of the skin. Six statistic features (mean, variance, standard deviation, kurtosis, skewness, and entropy) were selected to extract the EMG signal using a window length of 100 samples. A muscle and features selection is applied to the classifier machine (linear discriminant analysis (LDA), support vector machine (SVM) and K nearest neighborhood (KNN)) to retrieve the most useful feature and muscle. In this study, we found that there was no significant difference in accuracy among a number of muscles (p-value>0.05). LDA and SVM showed the best accuracy and no significant difference in accuracy between both were found. This study concluded that EMG signal from a single muscle can classify the hand motion (hand close, open, wrist flexion, and extension) effectively. 
Electrosurgery Unit Monopolar (Cutting and Coagulation) Ridho Armi Nabawi; Dhany Alvianto Wibaksono; Tri Bowo Indrato; Triana Rahmawati
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 1 (2019): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v1i1.7

Abstract

Electrosurgery Unit is a medical device that utilizes high frequency and voltage used to cut and dry tissue during the surgical process. The purpose of making this tool is to damage certain body tissues by heating the tissue. Heat is obtained by concentrating high frequency electricity on certain body tissues using active and passive electrodes as a medium. The Electrosurgery Unit involves the use of the CMOS 4069 IC as a frequency generator. The output frequency is set at 300 KHz then forwarded to the pulse regulating circuit and controlled with ic atmega328 then forwarded to the inverter circuit which functions to increase the voltage and output in the form of power. The module is calibrated using ESU Analyzer. This module is equipped with LOW, MEDIUM, HIGH. After the measurements are made, the more load is given higher to the tool, the higher the power released by the tool in each power selection. Then the load relationship and the power released are directly proportional. This ESU was made so that during the surgical process the body's tissue does not experience a lot of blood loss. Besides being able to use it for surgery, it can also be used to close the tissue after surgery.
A Two-Mode Digital Pressure Meter Equipped With An Automatic Leak Test Using MPX5050gp And MPXv4115vc6u Sensors Fita Florensa Rooswita; Triana Rahmawati; Syaifudin Syaifudin
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 2 (2020): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v2i2.7

Abstract

The calibration process aims to guarantee that a measurement device is to follow the established standards. The purpose of this study is to design an automatic leak test for digital pressure meter in which the function of this device is to measure pressure on the sphygmomanometer and suction pump or other devices that use pressure parameters for measurement. This study used the Arduino as a control system, and to process the analog data into digital. Signal conditioning, based on the amplifier circuit, was also applied for the MPX5050GP and MPXV4115VC6U sensor. The proposed design used a 4x20 liquid crystal display to show the parameters in this design ware also equipped with a selector of mmHg or kPa units. The result shows that the fluctuating resolution is 0.25 mmHg. In this design, an automatic leak feature was also equipped for the sphygmomanometer. The results obtained an average error of 7.3 mmHg for sphygmomanometers. On the other hand, the suction pumps have an accuracy of less than 1.5 kPa. From these results, it was concluded that this design could be used for the measurement of devices that use positive pressure and negative pressure
Comparison of Air Pressure Control Between Discrete and PID Control Applied in the Calibration Process in Blood Pressure Meter Harisha Avin Nurcahyana; Tri Bowo Indrato; Triana Rahmawati; Wahyu Caesarendra
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 2 (2022): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i2.6

Abstract

In performing the calibration of the sphygmomanometer, the officer needs to first reset the installation and pump the bulb slowly until it reaches the set point in accordance with the calibration settings where this does not provide convenience to the calibration officer. So the author wants to do research on making additional devices to support DPM calibration instruments that have been commercialized to speed up the pump process in Sphygmomanometer calibration. The purpose of this research is to make an Automatic Pump module with PID control to analyze the stability of the pressure achievement in accordance with the set point when using the smoothing program or not. This study used set points of 50, 100, 150, 200, and 250 mmHg. Data retrieval was carried out within 260 seconds at each set point at the Campus of the Department of Electrical Engineering Poltekkes Kemenkes Surabaya. The results of this study indicate that the tool testing using the smoothing program experienced small oscillations compared to the program without smoothing. The data obtained are at setting 50 the average overshoot is 54 and the average undershoot is 49; at setting 100 the average overshoot is 109 and the average undershoot is 99; at setting 150 the average overshoot is 156 and the average undershoot is 149; at setting 200 the average overshoot is 206 and the average undershoot is 196; at setting 250 the average overshoot is 253 and the average undershoot is 247. The importance of this device was made in order to make it easier and faster for the calibration officer to calibrate the Sphygmomanometer.
Pemantauan SpO2 Melalui Aplikasi Android di Mobile Phone Veriko Yonanto; I Dewa Gede Hari Wisana; Triana Rahmawati
Jurnal Teknokes Vol 12 No 2 (2019): September
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (774.073 KB)

Abstract

Penyakit Paru Obstruktif Kronik (PPOK) adalah penyakit obtruksi jalan napas karena bronchitis kronik atau emfisema. Salah satu penyebab PPOK adalah merokok. Monitoring saturasi oksigen digunakam untuk mengetahui nilai SPO2 selama satu menit pada perokok pasif maupun aktif yang bertujuan untuk monitoring kondisi Saturasi Oksigen pasien rawat jalan dan jika terjadi nilai yang tidak normal dapat dijadikan sebagai peringatan awal terjadinya risiko dari Pola Hidup Merokok. Tujuan dari penelitian ini membuat alat monitoring SPO2 via Android menggunakan sensor MAX30100. Sensor MAX30100 bekerja berdasarkan penyerapan cahaya IR dan LED yang masuk ke sensor, data dari sensor MAX30100 masuk ke pin 12C pada minimum sistem arduino, kemudian diolah sehingga menghasilkan presentase nilai SPO, yang kemudian ditampilkan pada LCD 16x2 dan Android dengan menggunakan Bluetooth sehagai media pengiriman. Pada peneliti sebelumnya dihasilkan error sebesar 0,6% dan hasil dari penelitian sekarang dengan melakukan pendataan 5 responden dengan 6 kali pengambilan data di dapatkan error sebesar 0.27%.
Alat Ukur Berat Dan Tinggi Badan Dilengkapi Penilaian Status Gizi Balita Kinanti Elok Putri; Triana Rahmawati; Lamidi Lamidi
Jurnal Teknokes Vol 14 No 1 (2021): April
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v14i1.6

Abstract

Alat ukur berat dan tinggi badan dilengkapi penilaian status gizi balita merupakan suatu alat yang berfungsi untuk mengetahui berat dan tinggi badan serta menentukan status gizi balita. Tujuan menentukan penilaian status gizi adalah apabila terjadi penyimpangan status gizi pada balita dapat segera diberi tindakan agar kondisi balita tidak memburuk. Dasar utama dalam penelitian status gizi balita menggunakan metode Antropometri. Penulis ingin membuat sebuah modul yang digunakan untuk melakukan pengukuran pada balita dengan parameter tinggi badan. Pembuatan modul ini dirancang dengan menggunakan Arduino sebagai pengontrol utama. Sensor tinggi badan menggunakan variabel resistor (potensiometer). Rancangan penelitian ini menggunakan metode pre-eksperimental dengan jenis After Only Design. Pada hasil pengukuran tinggi badan didapatkan rata-rata % error maksimal sebesar 0.35 % dan rata-rata errornya sebesar 0.093%. Untuk penelitian lebih lanjut alat dibuat portabel yang tidak membutuhkan catu daya langsung dari PLN dan ditambah dengan penyimpanan, agar data status gizi balita bisa disimpan dan dilihat kembali.
Measuring Respiration Rate Based Android I Kadek Eman Giyana Mahardika; Torib Hamzah; Triana Rahmawati; Liliek Soetjiatie
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (524.935 KB) | DOI: 10.35882/ijeeemi.v1i1.7

Abstract

Respiratory rate measurement tool is a technique used to determine the number of respiratory activity a person every minute. In the classification of the number of breathing per minute someone, can be divided into three groups, namely the so-called eupnea/normal, above average breathing called tachypnea, while below the average so-called bradypnea. This method is highly dependent on the concentration of the mind and senses actor sensitivity measurement / observation. Therefore human nature is easy to forget, tired and bored, so now developed a method of measurement or observation of respiratory rate electronically. In this study, respiratory rate measurement making use flex sensor by placing the sensor in the patient's stomach and will detect the curvature of the patient's stomach. Results from the patient's respiratory displayed on the LCD Character and android using HC-05 Bluetooth as the media sender. The results of the measurement data of the 10 respondents indicated the average - average error of 3.2%. After testing and data collection can be concluded that the appliance is eligible to use because it is still within the tolerance range of 10%.
Analysis of Drop Sensor Accuracy in Central Infusion Peristaltic Monitoring Based on Computer Using Wireless Communication HC-11 Syaifudin Syaifudin; Triana Rahmawati; Siti Rohmatul Jannah; Sandeep Kumar Gupta; Ram Gopal
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.v4i2.2

Abstract

In some hospitals, the infusion is still done manually, where medical personnel observe the liquid droplets directly and then control the rate using a mechanical resistor (clamp). This method is certainly far from accurate. An infusion pump is a medical aid that functions to control and ensure the correct dose of infusion fluid given to patients treated. The purpose of this study was to analyze the accuracy of the infrared photodiode as a drop sensor based on the readings of the infusion pump monitoring system. This module consists of a photodiode infrared drop sensor module, a comparator circuit, a monostable circuit, a stepper motor, an L298N motor driver, and an ATmega328 microcontroller. The droplets were detected by an infrared photodiode sensor, then compared with a comparator and monostable circuit as an oscillator developer, and then the flow rate and residual volume readings were generated by the ATmega328 microcontroller. Next, this data has sent to the computer via the HC-11 wireless. The results of the flowrate module measurement show the highest error value of 3% at the 30 ml/hour setting and the lowest error value of 2.5% at the 60 ml/hour setting. Meanwhile, the results of the flow rate measurement using an infusion device analyzer obtained the highest error value of 4% at the setting of 30 ml/hour and 60 ml/hour, and the lowest error value of 0.8% at the setting of 100 ml/hour. Monitoring the infusion pump was designed centrally to facilitate the nurse's task in monitoring the infusion dose given to the patient accurately. Based on this research, the accuracy of the infrared sensor and photodiode is very good by looking at the existing error rate.
Dynamic feature for an effective elbow-joint angle estimation based on electromyography signals Triwiyanto Triwiyanto; Triana Rahmawati; Endro Yulianto; Muhammad Ridha Mak'ruf; Priyambada Cahya Nugraha
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp178-187

Abstract

Some physical parameters influence the electromyography signal (EMG). when the EMG signal is used to estimate the position of the elbow. An adaptable feature was important to reduce a variation on the parameters. The aim of this paper is to estimate the joint position of the elbow using EMG signal based on a dynamic function. The major contribution of this work is that the method proposed is capable of determining the elbow position using the non-pattern (NPR) recognition (PR) method. A Wilson amplitude (WAMP) which used a dynamic threshold was used to reduce the EMG signal. The dynamic threshold was generated from the root mean square (RMS) processor. With the dynamic threshold, the model could adapt to any variations on the independent variables. In order to confirm this opportunity, this work involved ten healthy male subjects to perform an experimental protocol. After a tuning and calibration process, the mean of RMS error and correlation coefficient are 9.83º±1.69º and 0.98±0.01 for a single cycle of motion, 10.39º±1.82º and 0.97±0.01 for a continuous cycle of motion and 15.19º±1.92º and 0.94±0.02 for the arbitrary gesture. For conclusion, the performance of the prediction did not significantly depend on the varying cycle of gesture (p-value>0.05). This study has confirmed that the success of the non-pattern recognition-based prediction of elbow position is adaptable to any different subjects, loads, and speed of motion.
Accuracy Analysis on Dual Pressure (Positive and Negative) Calibrator Design to Investigate the Sensor Response Abdi Wibowo; Triana Rahmawati; Priyambada Cahya Nugraha; I Dewa Gede Hari Wisana; Honey Honey; Mansour Asghari
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 3 (2022): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i3.247

Abstract

Calibration is an activity to determine the conventional correctness of the value of measuring instrument designation and measuring material by comparing against the measuring standards that are traced to national or international standards. A sphygmomanometer is a device used to measure blood pressure. Suction pump is a tool to suck various types of fluid formed from the body's secretion process that under certain conditions need to be cleaned. DPM (Digital Pressure Meter) is a tool for calibrating sphygmomanometers and suction pumps. Therefore, it takes a calibrator device to calibrate both tools. The purpose of this study was to determine the sensor response and analyze the accuracy of the design of a dual pressure calibrator (+ and -) that can be used for two devices at once (sphygmomanometer and suction pump) using one sensor (pss-C01V-R18 autonics). The research was conducted at the Campus of the Department of Electrical Engineering Of The Ministry of Health Surabaya, first the data was taken from three different brands of sphygmomanometer and suction pump, the second data was taken using module calibrators, and the third data collection from modules and comparison tools (DPM). In this study successfully measured positive and negative pressure with autonics sensors, the results obtained are accurate in accordance with the results of standard tools. The result of this tool can be used for dual pressure calibrators using autonics sensors.
Co-Authors Abdi Wibowo Abdussalam Ali Ahmed Anisa Rahma Astuti Dhany Alvianto Wibaksono Egan Graha Utama Endro Yulianto Fita Florensa Rooswita Fitriyana Jayanti Harisha Avin Nurcahyana Honey Honey I Dewa Gede Hari Wisana I Dewa Gede Hari Wisana Indrato, Tri Bowo Khongdet Phasinam Kinanti Elok Putri Lamidi, Lamidi Liliek Soetjiatie Luh Putu Ratna Sundari Maduka Nosike Mansour Asghari Mohanad Abdulhamid Muhammad Ridha Mak'ruf Nur Khabibatul Rosida Pawana, I Putu Alit Priyambada Cahya Nugraha Priyambada Cahya Nugraha Ram Gopal Ridho Armi Nabawi Sandeep Kumar Gupta Siti Rohmatul Jannah Syaifudin Torib Hamzah Veriko Yonanto Vugar Abdullayev Wahyu Caesarendra