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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Empirika JURNAL PENELITIAN KESEHATAN Journal of Electronics, Electromedical Engineering, and Medical Informatics Titian: Jurnal Ilmu Humaniora Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics Indonesian Journal of Electrical Engineering and Computer Science BERNAS: Jurnal Pengabdian Kepada Masyarakat Komunitas: Jurnal Ilmu Sosiologi Frontiers in Community Service and Empowerment Attadrib: Jurnal Pendidikan Guru Madrasah Ibtidaiyah Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Triana Rahmawati
POLTEKKES KEMENKES Surabaya
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The Performance Analysis of the Infrared Photodiode Sensor to Infusion Set on Infusion Device Analyzer Machine Anisa Rahma Astuti; Syaifudin; Triana Rahmawati; Khongdet Phasinam
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v5i1.274

Abstract

Infusion pumps and syringe pumps are devices used to administer liquid medicines to patients. The frequency of using the infusion pump and syringe pump in the long term will affect the accuracy of the tool. Accuracy is very important in dosing to patients in critical conditions who require intensive care to prevent fluid balance in the body. Therefore, periodic calibration of medical devices is required at least once a year. Calibration according to Permenkes No. 54 of 2015 is a calibration activity to determine the correctness of a tool. The purpose of this research is to make an Infusion Device Analyzer (IDA) with a TFT LCD displaying a graph of flowrate parameters. The method used is to analyze the flowrate value using an infrared photodiode sensor and can see the stability of the flowrate graph on a 7-inch TFT LCD from the use of 2 brands of syringes and an infusion set. The results obtained can be stored on the SD Card. The measurement results show that the error in the performance of the syringe and infusion pump read by the module on Channel 1 with the Terumo syringe is 0.15 (10 ml/h), 0.1 (50ml/h) and 0.03 (100ml/h). . On Channel 2 it is 0.02(10ml/hour), 0.03 (50ml/hour) and 0.04(100ml/hour). When using the B-Braun Channel 1 syringe, 0.25 (10ml/h), 009(50ml/h) and 0.08(100ml/h) are used. And on Channel 2 it is 0.62 (10ml/h), 0.15 (50ml/h), and 7.3 (100ml/h). When using the Terumo Channel 1 brand infusion set at 0.05 (10ml/h), 0.3(50ml/h), and 0.04(100ml/h). On Channel 2 it is 0.14(10ml/hour), 0.02 (50ml/hour) and 0.18 (100 ml/hour). When using the B-Braun Channel 1 Infusion Set, it is 0.07(10ml/h), 0.02(50 ml/h), and 0.03 (100ml/h). Then on Channel 2 0.07 (10ml/hour), 0.02(50 ml/hour), and 0.1(100ml/hour). The conclusion of this study is that the use of 2 different infusion sets greatly affects the readings, other than that other factors can also affect the readings including the position of the hose and the placement of sensors on each channel. From the manufacture of this tool, it is expected that users can be more efficient in using a 2-channel Infusion Device analyzer which can be run at the same time.
Monitoring the Stability of Oxygen Flow Analyzer on Oxygen Station in the Hospital Nur Khabibatul Rosida; Triana Rahmawati; I Dewa Gede Hari Wisana; Maduka Nosike
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February
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.v5i1.265

Abstract

Oxygen therapy besides having benefits also has certain dangers and side effects. For this reason, oxygen therapy must be given at the proper dose by monitoring the patient regularly and adjusting the oxygen flowmeter. The accuracy of flowmeter under standard conditions is guaranteed by manufacturer. With time and use the precision may change and the flow accuracy given in a hospital setting may differ from the original value. Thepurpose of this research is to conduct further research on Oxygen flow analyzer which focuses on discussing the accuracy and stability of the oxygen flow sensor against the gold standard. Contribution of this study is to increase the range of oxygen flowrate measurement to 15 liters per minute (LPM). This research uses Arduino Mega while the gas flow sensor used is legris flow sensor. The measurement results are displayed on TFT LCD equipped with SD Card data storage. The gas flowrate is regulated using a flowmeter (GEA). Meanwhile the comparison tools using Oxygen Analyzer and 1 m3 oxygen gas cylinder. At the testing stage, the sensor reading value on the module that appears on the TFT LCD is compared with the resultsf a comparison tool with a measurement range of 1 LPM to 15 LPM 6 times at each point. The conclusion from these results is that the calibrator module has a relative error is still within the allowable tolerance limit of ±10%. INDEX TERMS Calibration, Oxygen Flow Analyzer, Flowmeter, TFT Display
Implementation of Gyro Accelerometer Sensor for Measuring Respiration Based on Inhale And Delphi Based Exhale Egan Graha Utama; Triwiyanto Triwiyanto; Triana Rahmawati; Vugar Abdullayev; Mohanad Abdulhamid
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.477

Abstract

Gyro accelerometer sensor which is a sensor that can detect changes in position and speed. Many studies use the gyro accelerometer sensor as a sensor in respiration. This study aims to examine and analyze changes in the position of inhale and exhale in 3 positions of the gyro accelerometer sensor which is placed on the abdomen and chest to determine the value of respiration. This study displays 3 signals and respiration values detected by the gyro accelerometer sensor and then displayed using Delphi. The independent variable in this study is the value of respiration, while the dependent variable is the output of the gyro accelerometer sensor. The biggest error value from the module measurement is when the sensor position 2 is sitting with an error value of 1.11%. While the error value is greatest when the sensor position 3 is in a sleep state with an error value of 3.66%. The conclusion from these results is that the module has a relative error (error value) that is still within the allowable tolerance limit, which is ±5%. This study also shows the effect of the gyro accelerometer sensor output value on the placement of the 3 sensor positions placed on the abdomen and chest. This study has limitations, namely when the respondent moves or walks in a place where there is still noise and the signal on the Delphi display is lost.
The Sensor Occlusion SEN0257 on the Infusion Device Analyzer 2 Channel with TFT Display ensures high accuracy in detecting occlusions. Ach Jiddan Asrori'; Endro Yulianto; Triana Rahmawati
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 3 (2023): August
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.v5i3.300

Abstract

Syringepump and Infuspump function to provide drugs or fluids that are carried out directly and continuously for a certain period of time through a blood vessel. Often encountered problems of blockage or occlusion in the use of infusion pumps and syringe pumps. Occlusion in the infusion device causes the incoming drug fluid to not flow constantly. Occlusion limit set at 20 Psi according to ECRI. To ensure this, proper calibration is required at least once a year. The purpose of this research is to analyze the accuracy of the pressure sensor on the Occlusion measurement on the Infusion Device Analyzer 2 Channel showing TFT. This study has 2 channels so that it can calibrate 2 tools simultaneously. The design of this module uses a Water Pressure Sensor to measure occlusion and a solenoid valve for pressure simulation. When the sensor is depressed, the sensor detects the pressure and is processed by the Arduino. The pressure results are then displayed on a 7-inch TFT LCD in the form of graphs and numbers in real time and stored on the SD card.
Accuracy of Infrared Photodiode Sensors at The Flowrate Measurement in Infusion Device Analyzer with 2 Channel TFT Display Wafiq Nur Azizah; Triana Rahmawati; Syaifudin Syaifudin
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 3 (2023): August
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.v5i3.306

Abstract

The use of infusion is crucial for patient healing. Infusion refers to a fluid that consists of drugs, nutrients, and hydration delivered continuously into the patient's bloodstream over a specific period. One of the types of infusion devices is the infusion pump and syringe pump. These devices play a vital role in accurately and precisely controlling the volume or flow rate of fluids. However, continuous usage of these devices can sometimes result in inaccurate measurements, which can affect their overall accuracy. The accuracy of these devices is crucial for proper dosage administration to patients, particularly in critical situations. Therefore, it is necessary to periodically calibrate healthcare devices, at least once a year, as specified in Ministry of Health Regulation No. 54 of 2015. Calibration is an activity performed to determine the true value of a device. The objective of this study is to develop an Infusion Device Analyzer (IDA) with a TFT LCD display that showcases graphical representations of flow rate parameters. By analyzing the calculation of flow rate values using Infrared Photodiode sensors, the stability of the flow rate graph can be observed on a 7-inch TFT LCD display. The measurement involved the use of two different brands of syringe pumps and two different brands of infusion pumps. The results were presented in real-time on the 7-inch TFT LCD display, both in graphical and numerical formats. Additionally, the data was transmitted via Bluetooth to a PC, allowing the graph to be simultaneously displayed in a Delphi program.The measurement results revealed performance errors when using the Terumo Syringe Pump with Terumo syringes in Channel 1, with values of 0.45% (10 ml/h), 0.72% (50 ml/h), and 0.40% (100 ml/h). In Channel 2, the errors were 0.32% (10 ml/h), 0.40% (50 ml/h), and 0.32% (100 ml/h). When using the B-Braun Syringe Pump with B-Braun syringes, Channel 1 exhibited errors of 0.45% (10 ml/h), 0.7% (50 ml/h), and 0.85% (100 ml/h), while Channel 2 had errors of 0.8% (10 ml/h), 0.3% (50 ml/h), and 1% (100 ml/h). In the case of the Terumo Infusion Pump with Terumo Infusion Sets, Channel 1 showed errors of 0.4% (10 ml/h), 0.5% (50 ml/h), and 0.45% (100 ml/h), and Channel 2 exhibited errors of 0.32% (10 ml/h), 0.4% (50 ml/h), and 0.72% (100 ml/h). Lastly, when using the B-Braun Infusion Pump with B-Braun Infusion Sets, Channel 1 had errors of 0.72% (10 ml/h), 1% (50 ml/h), and 1,2% (100 ml/h), while Channel 2 displayed errors of 0.8% (10 ml/h), 0.72% (50 ml/h), and 0,4% (100 ml/h).INDEX TERMS Infrared Photodiode Sensor, Calibration, Real Time, Flow Rate.
Application of Growth Monitoring System Web Based to Monitor Growth toodler Rahmawati, Triana; Assalim T.P, M. Prastawa; Soetjiatie, Liliek
Frontiers in Community Service and Empowerment Vol. 4 No. 2 (2025): June
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v4i2.89

Abstract

The community service program "Implementation of a Web-Based Growth Monitoring System Tool for Monitoring the Growth and Development of Toddlers" aims to introduce and implement a web-based Growth Monitoring System (GMS) tool in monitoring the growth and development of toddlers effectively and accurately. Partners in this community service program are actors health workers and posyandu cadres in the Kenjeran Community Health Center area, Kenjeran Village, Bulak District, Surabaya City. Through this system, health workers and parents can access toddler growth data, such as weight, height and nutritional status, in real-time. It is hoped that this activity can increase public awareness regarding the importance of monitoring children's growth and development, as well as help detect early nutritional problems or suboptimal growth, so that treatment can be carried out more quickly and precisely. The results of this service activity show that the application of a web-based Growth Monitoring System (GMS). has helped improve monitoring of toddler growth and development in target communities. Health workers and parents can now access toddler growth data more easily, structured and in real-time. This system makes it easier to detect nutritional problems or growth disorders early, so that treatment can be taken more quickly. Community participation in these activities has also increased, with a better understanding of the importance of monitoring children's growth and development to ensure the well-being and health of toddlers.
Baby Incubator with Room Temperature and Skin Temperature Monitoring Via IoT-Based WIFI Network Mahendra, Farhel Gading; Rahmawati, Triana; Kholiq, Abdul; Farooq Mujahid, Muhammad Umer
Jurnal Teknokes Vol. 16 No. 3 (2023): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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

Abstract

Newborns require special attention to the labor process, this affects the health of the baby itself. Similarly, with premature babies who have a high level of sensitivity to the surrounding environment, one of the biggest causes of death in premature babies is hypothermia, therefore adjustments are needed starting from room temperature and skin in the baby incubator. The purpose of this study is to develop a monitoring system that will facilitate the performance of nurses in monitoring the parameters of the baby incubator. Related to this, an incubator device is needed that can be monitored remotely. This module uses a wifi network system for data transmission. Using the ESP32 module assembled into a module for monitoring and control which will then be displayed on the LCD and in the blynk as a monitoring display. Data transmission will be communicated using an external WIFI network and the monitoring results of each sensor will be displayed on Blynk. The highest error values were 1.24% for incubator room temperature parameters and 1.15% for skin temperature parameters. The results showed that there were still inaccuracies in some parameter readings, one of the factors that read inaccurate parameters was sensor sensitivity. This research is expected to help medical personnel to facilitate monitoring the condition of premature babies in baby incubators.
Monitoring Bpm and Body Temperature Based Internet of Things (IoT) Thing speak Platform Romadhini, Novita Nur Azize; Kholiq, Abdul; Rahmawati, Triana; Masood, Faraz
Jurnal Teknokes Vol. 16 No. 3 (2023): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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

Abstract

Technological advancements in the field of healthcare, coupled with contemporary scientific and technological progress, have led to significant advancements in various operational procedures within medical institutions. These advancements include the adoption of automated systems in lieu of human intervention. An example of this progress is the implementation of automated systems for monitoring individuals' heart rates and body temperatures. Heart rate and body temperature stand as critical indicators employed by medical professionals to assess both physical and mental well-being. Deviations from normal heart rate and body temperature values can signify underlying issues. Body temperature, specifically, can offer insights into internal bodily conditions. This transition to automated monitoring tools has resulted in heightened practicality and efficiency. These tools offer real-time monitoring capabilities and the option for remote oversight. The monitoring device's architecture employs the Max30102 as a BPM sensor, which boasts a digital output. Additionally, the MLx90614 sensor functions as a digital temperature sensor. The collected data is then processed and showcased on an I2C LCD screen, with information transmitted to the ThingSpeak platform via the ESP32, serving as a Wi-Fi module. Notably, the BPM sensor demonstrates a minimal error rate of 0.23% and a maximum of 2.11%, while the temperature sensor showcases a minimal error rate of 0.59% and a maximum of 3.37%. The outcomes of this research exhibit potential application in enhancing the efficiency of remote monitoring systems when integrated into patient monitoring setups.
Growth Monitoring System Using Infant Length to Determine Nutritional Status in Children Aged 0-12 Months. Yulia Ningrum, Churie Nurhaeni; Yulianto, Endro; Rahmawati, Triana
Jurnal Teknokes Vol. 17 No. 3 (2024): September
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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

Abstract

This research addresses the pressing issue of monitoring the growth and nutritional status of infants aged 0-12months, a critical period for health and development. Inadequate growth monitoring can lead to undetected nutritionaldeficiencies and long-term health consequences. To tackle this problem, the study developed an innovative Growth MonitoringSystem that utilizes length, weight, and head circumference as key indicators of nutritional status. The system integratesadvanced technology, including an ESP-32 microcontroller, load cell sensors for weight measurement, ultrasonic sensors forheight measurement, and infrared sensors for head circumference measurement. The methodology involved collecting datafrom 30 respondents, where the system automatically recorded measurements and generated growth curves displayed on aweb-based platform. The accuracy of the measurements was evaluated, revealing significant variability in error rates.Specifically, the highest error in head circumference measurement was recorded at 25.38%, while the weight measurementexhibited a lower error rate of -20.47%. These results highlight the challenges in achieving precise measurements but alsodemonstrate the system's capability to provide essential data for assessing infant growth. In conclusion, the developed GrowthMonitoring System represents a significant advancement in child health monitoring, offering a reliable and efficient methodfor tracking the growth of infants. Despite the observed measurement errors, the system's automated data collection andanalysis capabilities provide valuable insights into nutritional status. The research emphasizes the potential for broaderimplementation of such systems in pediatric clinics and national health programs, ultimately contributing to improved healthoutcomes for infants. By enhancing the accuracy and accessibility of growth monitoring, this research paves the way for moreeffective interventions in early childhood nutrition and health.
Implementation of Gyro Accelerometer Sensor for Measuring Respiration Based on Inhale and Exhale with Delphi Interface Utama, Egan Graha; Triwiyanto, Triwiyanto; Rahmawati, Triana; Abdulhamid, Mohanad; Abdullayev, Vugar
Jurnal Teknokes Vol. 16 No. 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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

Abstract

Accelerometer sensor is widely employed in respiration studies for its ability to detect changes in position and speed. However, there is a lack of research focusing on the optimal placement of this sensor to achieve accurate respiration measurements. This study aims to investigate and analyze the ideal positioning of the gyro accelerometer sensor for precise respiration detection. To achieve this, a design is proposed that utilizes an Arduino Nano as a microcontroller to process signals and derive respiration values from three gyro accelerometer sensors. The obtained respiration signals and values are transmitted to a PC via Bluetooth and visualized through a Delphi application, enabling a comprehensive comparison of the signals from the three sensors. The main contribution of this research lies in studying the impact of gyro accelerometer sensor placement on respiration detection, ultimately identifying the most suitable sensor location. The analysis reveals that the overall error values obtained from the module are promising, with the highest error recorded at 2.06% when the sensor is positioned at the stomach and chest (sensor position 3). This result validates the feasibility of using gyro accelerometer sensors for respiration detection and provides valuable insights for future studies in this domain. However, it is important to acknowledge certain limitations in this research. During respondent movement or walking, noise is observed in the signal, which may affect the accuracy of respiration measurements. These limitations highlight the need for further investigation into refining the sensor placement and signal processing techniques to mitigate noise and enhance overall accuracy. In conclusion, this study emphasizes the significance of gyro accelerometer sensors in respiration detection and addresses the dearth of research regarding their optimal placement. By presenting the error analysis of three sensor positions, the study establishes a foundation for more precise and reliable respiration measurement techniques. Future efforts should concentrate on overcoming the limitations identified in this research, thereby advancing the potential of gyro accelerometer sensors for a wide range of respiration applications, such as monitoring respiratory health and sleep patterns
Co-Authors Abdi Wibowo Abdul Kholiq Abdulhamid, Mohanad Abdullayev, Vugar Abdussalam Ali Ahmed Abudlayev, Vugar Ach Jiddan Asrori' Ahmad Zuber Ahmad Zuber Ahniar, Nur Hasanah Akbar, Rezza Dian Andri Firmansyah Anisa Rahma Astuti Aris Arif Mundayat Asrori’, Ach Jiddan Assalim T.P, M. Prastawa Assalim T.P, Moch.Prastawa Azizah, Wafiq Nur Bambang Guruh Irianto Dhany Alvianto Wibaksono Domigata, Riga Effieta Alfi Wulandari Egan Graha Utama Endro Yulianto Fahriansyah P, Fikri Faiz Nafi'u Pradana, Much Farooq Mujahid, Muhammad Umer Fikri Fahriansyah Pramono Fita Florensa Rooswita Fitri Ayu Handayani Fitriyana Jayanti Ghina Reftantia Gopal, Ram Gunawan Gunawan Gupta, Sandeep Kumar Hamzah, Torib Handayani, Fitri Ayu Hapsari, Yuanita Dwi Harisha Avin Nurcahyana Hendris Hendris, Hendris Heru Purnomo Honey Honey I Dewa Gede H.W I Dewa Gede Hari Wisana I Putu Anna Andika Indrato, Tri Bowo Indrato, Tri Bowo Islamudin, Ahmad Faisal Jannah, Siti Rohmatul Khongdet Phasinam Kinanti Elok Putri Lamidi, Lamidi Liliek Soetjiatie Lisa choirunnanda Luh Putu Ratna Sundari Luthfiyah, Sari M. Ridha Mak’ruf Maduka Nosike Mahardika, I Kadek Eman Giyana Mahendra, Farhel Gading Mansour Asghari Masood, Faraz Mifthahul Maghfiroh, Anita Misra, Shubhrojit Mohanad Abdulhamid Muflih Ridwan, Muhamad Muhammad Ridha Mak'ruf Muhammad Roni Setiawan Mundayat, Aris Arif Narongrit Sanajit Nosike, Maduka Nur Khabibatul Rosida Pawana, I Putu Alit Penggalih Mahardika Herlambang Priyambada Cahya N Priyambada Cahya Nugraha Putra, Affan Kurnia Putri, Rizqa Febriliany Ram Gopal Ramandani, Rifan Rezza Dian Akbar Ridho Armi Nabawi Riga Domigata Romadhini, Novita Nur Azize Rosida, Nur Khabibatul Sanajit, Narongrit Sandeep Kumar Gupta Setiawan, Muhammad Roni Siti Rohmatul Jannah Suryadinata, Theofilus Apolinaris Syaifudin Syaifudin Syaifudin Syaifudin Syaifudin, Syaifudin Theofilus Apolinaris Suyadinata Torib Hamzah Tri bowo Indrato Tri Bowo Indrato Triwiyanto Triwiyanto Utama, Egan Graha Utomo, Bedjo Veriko Yonanto Vugar Abdullayev Wafiq Nur Azizah Wahyu Caesarendra Wulandari, Effieta Alfi Yulia Ningrum, Churie Nurhaeni