Pub Date : 2023-03-25DOI: 10.35882/jeeemi.v5i2.282
K. D. Irianto
The use of prepaid smart electricity services from the State Electricity Company (SEC) for the general public in Indonesia has increased. It is because prepaid electricity has several advantages compared to postpaid electricity. One of them is that it is becoming easier for customers to manage and control their daily electricity usage. Customers can also estimate their total electricity consumption each month. However, customers still have to manually view the information on the electricity meter to find data and information on prepaid electricity. It can make it difficult for customers if the electricity meter is placed outside the house, which is quite far away. Customers must also constantly monitor the use of electricity. This article discusses a prepaid smart electricity consumption monitoring design using Internet of Things technology. The design is carried out without changing the standard prepaid electricity meter system from the SEC. However, a KWH meter tool has been developed that has been combined with Internet of Things technology and can calculate and monitor electricity usage. The results show that with this system, customers can more easily find out and monitor their daily electricity consumption.
{"title":"Pre-SEMMS: A Design of Prepaid Smart Energy Meter Monitoring System for Household Uses Based on Internet of Things","authors":"K. D. Irianto","doi":"10.35882/jeeemi.v5i2.282","DOIUrl":"https://doi.org/10.35882/jeeemi.v5i2.282","url":null,"abstract":"The use of prepaid smart electricity services from the State Electricity Company (SEC) for the general public in Indonesia has increased. It is because prepaid electricity has several advantages compared to postpaid electricity. One of them is that it is becoming easier for customers to manage and control their daily electricity usage. Customers can also estimate their total electricity consumption each month. However, customers still have to manually view the information on the electricity meter to find data and information on prepaid electricity. It can make it difficult for customers if the electricity meter is placed outside the house, which is quite far away. Customers must also constantly monitor the use of electricity. This article discusses a prepaid smart electricity consumption monitoring design using Internet of Things technology. The design is carried out without changing the standard prepaid electricity meter system from the SEC. However, a KWH meter tool has been developed that has been combined with Internet of Things technology and can calculate and monitor electricity usage. The results show that with this system, customers can more easily find out and monitor their daily electricity consumption. \u0000 ","PeriodicalId":369032,"journal":{"name":"Journal of Electronics, Electromedical Engineering, and Medical Informatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133652942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-12DOI: 10.35882/jeeemi.v5i2.283
N.M.Mary Shindhja, Atul Varshney
In this proposed work a compact, low profile, inset-fed βΩ-space-filling curve-based slotted fractal antenna for multi-band wireless applications and narrow band operations is designed, fabricated, and successfully tested. The measured results of the reflection coefficient and E-plane and H-plane gain radiation patterns are found to be very concord with simulated corresponding results. The antenna resonates at five resonance frequencies 1.91GHz (1.86-1.93GHz), 3.12GHz (3.03-3.21GHz), 5.56GHz (5.50-5.60GHz), 10.75GHz (10.55-11.20GHz) and 13.94GHz (13.72-14.17GHz) with narrow band. Therefore the proposed antenna is adopted for the applications like PCS-1900 (n2 band: 1850-1910MHz), rail mobile radio (1900-1910MHz), DCS-IMT gap (n98/n39 band: 1880-1920MHz), WCDMA (1900MHz), X-band (10.55-11.20GHz) and Ku-band (13.72-14.17GHz) applications. The antenna parameters gain, directivity, and efficiency are greatly improved by the 50% reduction in ground length. A Good impedance matching is achieved by the use of inset feeding with a 50Ω port at an operating frequency 3.1GHz. The antenna exhibits 2.94dBi gain at the operating frequency. A new hybrid βΩ- space-filling curve has been utilized for the slotted fractal proposed antenna design. The antenna is fabricated on an FR4 substrate with compact dimensions (39.05mm x 32.25mm x 1.6mm) at a frequency 3.1GHz.
在这项工作中，我们设计、制造并成功测试了一种用于多波段无线应用和窄带操作的紧凑、低轮廓、嵌入馈电βΩ-space-filling曲线型开槽分形天线。反射系数的测量结果以及e面和h面增益辐射方向图与模拟结果非常吻合。天线谐振频率为1.91GHz (1.86-1.93GHz)、3.12GHz (3.03-3.21GHz)、5.56GHz (5.50-5.60GHz)、10.75GHz (10.55-11.20GHz)和13.94GHz (13.72-14.17GHz)，谐振频率为窄带。因此，该天线可用于PCS-1900 (n2频段:1850-1910MHz)、轨道移动无线电(1900-1910MHz)、DCS-IMT gap (n98/n39频段:1880-1920MHz)、WCDMA (1900MHz)、x频段(10.55-11.20GHz)和ku频段(13.72-14.17GHz)等应用。天线参数增益、指向性和效率由于地长减少50%而大大提高。通过在3.1GHz工作频率下使用50Ω端口的插入馈电，实现了良好的阻抗匹配。天线在工作频率下的增益为2.94dBi。将一种新的混合βΩ-空间填充曲线用于开槽分形天线设计。天线是在FR4基板上制造的，尺寸紧凑(39.05mm x 32.25mm x 1.6mm)，频率为3.1GHz。
{"title":"Hybrid βΩ-Indexing Fractal Slotted Multiband Antenna for Electronics Wireless Sensor Applications","authors":"N.M.Mary Shindhja, Atul Varshney","doi":"10.35882/jeeemi.v5i2.283","DOIUrl":"https://doi.org/10.35882/jeeemi.v5i2.283","url":null,"abstract":"In this proposed work a compact, low profile, inset-fed βΩ-space-filling curve-based slotted fractal antenna for multi-band wireless applications and narrow band operations is designed, fabricated, and successfully tested. The measured results of the reflection coefficient and E-plane and H-plane gain radiation patterns are found to be very concord with simulated corresponding results. The antenna resonates at five resonance frequencies 1.91GHz (1.86-1.93GHz), 3.12GHz (3.03-3.21GHz), 5.56GHz (5.50-5.60GHz), 10.75GHz (10.55-11.20GHz) and 13.94GHz (13.72-14.17GHz) with narrow band. Therefore the proposed antenna is adopted for the applications like PCS-1900 (n2 band: 1850-1910MHz), rail mobile radio (1900-1910MHz), DCS-IMT gap (n98/n39 band: 1880-1920MHz), WCDMA (1900MHz), X-band (10.55-11.20GHz) and Ku-band (13.72-14.17GHz) applications. The antenna parameters gain, directivity, and efficiency are greatly improved by the 50% reduction in ground length. A Good impedance matching is achieved by the use of inset feeding with a 50Ω port at an operating frequency 3.1GHz. The antenna exhibits 2.94dBi gain at the operating frequency. A new hybrid βΩ- space-filling curve has been utilized for the slotted fractal proposed antenna design. The antenna is fabricated on an FR4 substrate with compact dimensions (39.05mm x 32.25mm x 1.6mm) at a frequency 3.1GHz.","PeriodicalId":369032,"journal":{"name":"Journal of Electronics, Electromedical Engineering, and Medical Informatics","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129562720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sport is a physical activity that can optimize body development through muscle movement. Physical activity without rest with strong and prolonged muscle contractions results in muscle fatigue. Muscle fatigue that occurs causes a decrease in the work efficiency of muscles. Electrocardiography (ECG) is a recording of the heart's electrical activity on the body's surface. EMG is a technique for measuring electrical activity in muscles. This study aims to detect the effect of muscle fatigue on cardiac signals by monitoring ECG and EMG signals. This research method uses the Maximum Heart Rate with a research design of one group pre-test-post-test. The independent variable is the ECG signal when doing plank activities, while the dependent variable is the result of monitoring the ECG signal. To get the Maximum Heart Rate results, respondents use the Karnoven formula and perform the T-test. Test results show a significant value (pValue <0.05) in pre-exercise and post-exercise. When the respondent experiences muscle fatigue, it shows the effect of changes in the shape of the ECG signal which is marked by the presence of movement artifact noise. It concluded that the tools in this study can be used properly. This study has limitations including noise in the AD8232 module circuit and the display on telemetry where the width of the box cannot be adjusted according to the ECG paper.is It recommended for further research to use components with better quality and replace the display using the Delphi interface.
{"title":"Effect of Muscle Fatigue on EMG Signal and Maximum Heart Rate for Pre and Post Physical Activity","authors":"Arifah Putri Caesaria, Endro Yulianto, Sari Luthfiyah, Triwiyanto Triwiyanto, Achmad Rizal","doi":"10.35882/jeeemi.v5i1.278","DOIUrl":"https://doi.org/10.35882/jeeemi.v5i1.278","url":null,"abstract":"Sport is a physical activity that can optimize body development through muscle movement. Physical activity without rest with strong and prolonged muscle contractions results in muscle fatigue. Muscle fatigue that occurs causes a decrease in the work efficiency of muscles. Electrocardiography (ECG) is a recording of the heart's electrical activity on the body's surface. EMG is a technique for measuring electrical activity in muscles. This study aims to detect the effect of muscle fatigue on cardiac signals by monitoring ECG and EMG signals. This research method uses the Maximum Heart Rate with a research design of one group pre-test-post-test. The independent variable is the ECG signal when doing plank activities, while the dependent variable is the result of monitoring the ECG signal. To get the Maximum Heart Rate results, respondents use the Karnoven formula and perform the T-test. Test results show a significant value (pValue <0.05) in pre-exercise and post-exercise. When the respondent experiences muscle fatigue, it shows the effect of changes in the shape of the ECG signal which is marked by the presence of movement artifact noise. It concluded that the tools in this study can be used properly. This study has limitations including noise in the AD8232 module circuit and the display on telemetry where the width of the box cannot be adjusted according to the ECG paper.is It recommended for further research to use components with better quality and replace the display using the Delphi interface.","PeriodicalId":369032,"journal":{"name":"Journal of Electronics, Electromedical Engineering, and Medical Informatics","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132067833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-28DOI: 10.35882/jeeemi.v5i1.277
M. Mak’ruf, Novella Lasdrei Anna Leediman, A. Pudji, Erwin L. Rimban
In December 2019, the world was introduced to a new coronavirus, severe acute respiratory syndrome (COVID-19).The primary strategy for COVID-19 patients is supportive care, using high-flow nasal oxygen therapy (HFNC) reported to be effective in improving oxygenation. Stability is the ability of a medical device to maintain its performance [1]. Medical equipment must have the stability necessary to maintain critical performance conditions over a period of time. Accuracy is the closeness of agreement between the value of a measuring quantity, and the value of the actual quantity of the measuring quantity[2].The purpose of this study is to ensure that the readings of the HFNC device are accurate and stable so that it is safe and comfortable when used on patients. The development of the equipment that will be used by the author adds graphs to the TFT LCD to help monitor stable data in real time so that officers can monitor the flow and fraction of oxygen in the device to be stable. This study uses Arduino Nano while the sensor used is the GFS131 sensor, then the results are displayed on the Nextion TFT LCD. The test is carried out with comparing the setting value of the HFNC tool that appears on the TFT LCD with a gas flow analyzer with a measurement range of 20 LPM to 60 LPM 5 times at each point. Based on measurements on the gas flow analyzer, the HFNC module has an average error (error (%)) of6.40%. Average uncertainty (Ua) 0.05. Conclusion from these results that the calibrator module has a relative error (error value) that is still within the allowable tolerance limit, which is ±10%, the tool is precise because of the small uncertainty and good stability of the stability test carried out within a certain time.
{"title":"Analysis of Stability and Accuracy of Gas Flow in High Flow Nasal Canule for COVID-19 Patients","authors":"M. Mak’ruf, Novella Lasdrei Anna Leediman, A. Pudji, Erwin L. Rimban","doi":"10.35882/jeeemi.v5i1.277","DOIUrl":"https://doi.org/10.35882/jeeemi.v5i1.277","url":null,"abstract":"In December 2019, the world was introduced to a new coronavirus, severe acute respiratory syndrome (COVID-19).The primary strategy for COVID-19 patients is supportive care, using high-flow nasal oxygen therapy (HFNC) reported to be effective in improving oxygenation. Stability is the ability of a medical device to maintain its performance [1]. Medical equipment must have the stability necessary to maintain critical performance conditions over a period of time. Accuracy is the closeness of agreement between the value of a measuring quantity, and the value of the actual quantity of the measuring quantity[2].The purpose of this study is to ensure that the readings of the HFNC device are accurate and stable so that it is safe and comfortable when used on patients. The development of the equipment that will be used by the author adds graphs to the TFT LCD to help monitor stable data in real time so that officers can monitor the flow and fraction of oxygen in the device to be stable. This study uses Arduino Nano while the sensor used is the GFS131 sensor, then the results are displayed on the Nextion TFT LCD. The test is carried out with comparing the setting value of the HFNC tool that appears on the TFT LCD with a gas flow analyzer with a measurement range of 20 LPM to 60 LPM 5 times at each point. Based on measurements on the gas flow analyzer, the HFNC module has an average error (error (%)) of6.40%. Average uncertainty (Ua) 0.05. Conclusion from these results that the calibrator module has a relative error (error value) that is still within the allowable tolerance limit, which is ±10%, the tool is precise because of the small uncertainty and good stability of the stability test carried out within a certain time. \u0000 ","PeriodicalId":369032,"journal":{"name":"Journal of Electronics, Electromedical Engineering, and Medical Informatics","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129221126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-28DOI: 10.35882/jeeemi.v5i1.274
Anisa Rahma Astuti, Syaifudin, Triana Rahmawati, K. Phasinam
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.
{"title":"The Performance Analysis of the Infrared Photodiode Sensor to Infusion Set on Infusion Device Analyzer Machine","authors":"Anisa Rahma Astuti, Syaifudin, Triana Rahmawati, K. Phasinam","doi":"10.35882/jeeemi.v5i1.274","DOIUrl":"https://doi.org/10.35882/jeeemi.v5i1.274","url":null,"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.","PeriodicalId":369032,"journal":{"name":"Journal of Electronics, Electromedical Engineering, and Medical Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130681609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-28DOI: 10.35882/jeeemi.v5i1.275
Azel Pralingga Mukti, Lusiana Lusiana, D. Titisari, Satheeshkumar Palanisamy
Based on data from Basic Health Research (Riskesdas) in 2018, the incidence of heart and blood vessel disease is increasing from year to year. At least 15 out of 1000 people or about 2,784,064 individuals in Indonesia suffer from heart disease. Therefore, cardiovascular health care can make a better diagnosis through continuous monitoring. The purpose of this study was to develop a 12-lead circuit, a lead selector (Wilson Central Terminal), an instrumentation booster, an analog filter (Notch Filter 50Hz), Arduino UNO, a Bluetooth module, and Delphi7 application to display electrocardiograph signals. The results show that the Bluetooth module cannot send a signal at a distance of 20 meters if there is no obstacle, cannot send a signal at a distance of 10 meters if there is an obstacle in the form of a wall, and cannot send a signal at a distance of 16 meters if there is an obstacle in the form of wood (doors).
根据2018年基础健康研究(Riskesdas)的数据，心脏和血管疾病的发病率逐年上升。在印度尼西亚，每1000人中至少有15人或约2,784,064人患有心脏病。因此，心血管保健可以通过持续监测来更好地进行诊断。本研究的目的是开发一个12引线电路、引线选择器(Wilson Central Terminal)、仪表升压器、模拟滤波器(Notch filter 50Hz)、Arduino UNO、蓝牙模块和Delphi7应用程序来显示心电图信号。结果表明，蓝牙模块在无障碍物的情况下无法在20米距离内发送信号，在有墙形式障碍物的情况下无法在10米距离内发送信号，在有木(门)形式障碍物的情况下无法在16米距离内发送信号。
{"title":"Performance Analysis of Twelve Lead ECG Based on Delivery Distance Using Bluetooth Communication","authors":"Azel Pralingga Mukti, Lusiana Lusiana, D. Titisari, Satheeshkumar Palanisamy","doi":"10.35882/jeeemi.v5i1.275","DOIUrl":"https://doi.org/10.35882/jeeemi.v5i1.275","url":null,"abstract":"Based on data from Basic Health Research (Riskesdas) in 2018, the incidence of heart and blood vessel disease is increasing from year to year. At least 15 out of 1000 people or about 2,784,064 individuals in Indonesia suffer from heart disease. Therefore, cardiovascular health care can make a better diagnosis through continuous monitoring. The purpose of this study was to develop a 12-lead circuit, a lead selector (Wilson Central Terminal), an instrumentation booster, an analog filter (Notch Filter 50Hz), Arduino UNO, a Bluetooth module, and Delphi7 application to display electrocardiograph signals. The results show that the Bluetooth module cannot send a signal at a distance of 20 meters if there is no obstacle, cannot send a signal at a distance of 10 meters if there is an obstacle in the form of a wall, and cannot send a signal at a distance of 16 meters if there is an obstacle in the form of wood (doors).","PeriodicalId":369032,"journal":{"name":"Journal of Electronics, Electromedical Engineering, and Medical Informatics","volume":"70 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114031837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-28DOI: 10.35882/jeeemi.v5i1.276
Candra Prastyadi, B. Utomo, Her Gumiwang Ariswati, D. Titisari, S. Sumber, A. S. Kumar
A laboratory incubator is a device used to incubate a breed. a very important condition in the procedure Incubator is the optimal temperature conditions for microorganisms to grow. The incubator is equipped with a temperature controller so that the temperature can be adjusted according to the breed to be raised. Incubators use an oven like dry heat. The purpose of this study was to test and analyze the accuracy of the thermocouple sensor with incubator media in a laboratory incubator calibrator. The main design method uses the 8 MAX 6675 module, the 8 K type Thermocouple module, Arduino Mega, and SD Card data storage. Temperature measurements were measured with a Type K thermocouple sensor. The thermocouple sensor has 8 channels which function to measure the temperature at each camber point of the incubator. The temperature will be stored on the SD card for data analysis and the data can be processed in graphical form. Benchmarking is done using a temperature data logger. This is done so that the design results are below the standard comparison tool. The measurement results on the module compared to the comparison tool obtained the largest error value, namely 3.98%, namely on channel T6 at 35°C with ordinary incubator media and the smallest error on ordinary incubator media at point T6 at 37°C, which is 0.06 % and at 35 C the temperature of the incubator fan has the largest error of 2.98% and the smallest error of 0.86%. the module can perform well by testing the comparison tool at every point
{"title":"Eight Channel Temperature Monitoring using Thermocouple Sensors (type K) Based on Internet of Thing using ThinkSpeak Platform","authors":"Candra Prastyadi, B. Utomo, Her Gumiwang Ariswati, D. Titisari, S. Sumber, A. S. Kumar","doi":"10.35882/jeeemi.v5i1.276","DOIUrl":"https://doi.org/10.35882/jeeemi.v5i1.276","url":null,"abstract":"A laboratory incubator is a device used to incubate a breed. a very important condition in the procedure Incubator is the optimal temperature conditions for microorganisms to grow. The incubator is equipped with a temperature controller so that the temperature can be adjusted according to the breed to be raised. Incubators use an oven like dry heat. The purpose of this study was to test and analyze the accuracy of the thermocouple sensor with incubator media in a laboratory incubator calibrator. The main design method uses the 8 MAX 6675 module, the 8 K type Thermocouple module, Arduino Mega, and SD Card data storage. Temperature measurements were measured with a Type K thermocouple sensor. The thermocouple sensor has 8 channels which function to measure the temperature at each camber point of the incubator. The temperature will be stored on the SD card for data analysis and the data can be processed in graphical form. Benchmarking is done using a temperature data logger. This is done so that the design results are below the standard comparison tool. The measurement results on the module compared to the comparison tool obtained the largest error value, namely 3.98%, namely on channel T6 at 35°C with ordinary incubator media and the smallest error on ordinary incubator media at point T6 at 37°C, which is 0.06 % and at 35 C the temperature of the incubator fan has the largest error of 2.98% and the smallest error of 0.86%. the module can perform well by testing the comparison tool at every point","PeriodicalId":369032,"journal":{"name":"Journal of Electronics, Electromedical Engineering, and Medical Informatics","volume":"17 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128892733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-25DOI: 10.35882/jeeemi.v5i1.267
Azarudeen Mohamed Arif, Abubaker M. Hamad, Montasir Mohamed Mansour
The COVID-19+ pandemic has brought into keen focus the necessity to utilize and enforce our digital infrastructure for remote patient monitoring based on IoT (Internet of Things) technology since quarantines and isolations are playing a vital role in containing its spread. As of date, many viral tests and vaccines are in use while few drugs are in experimental stages, but there is always need for possibilities for increasing reliability of disease detection and monitoring at both levels of individual and society, and such aim can be supported by wearable biomedical sensors devices. Previously, wearable devices have been used to monitor physiological parameters during daily human living activities. Still, the investment of such technologies toward predicting infection by COVID-19+ remains essential to alert potential patients and start sequence of health systems intervention. It was found that wearable devices increased patients’ compliance to healthcare advice. Thus, in this perspective review, we have proposed an IoT based system to monitor the quarantine / isolation subjects during COVID-19+ and similar pandemic and quarantine observation. This wearable prototype, associated with the bundled mobile app, act to reports and tracks/monitoring the quarantined individuals. IoT based quarantine/isolation monitoring system is contact-free that could benefit especially healthcare professionals to lower the risk of exposure to infective pathogens. Current manuscript describes clinically relevant physiological human parameters that can be measured by wearable biomedical sensors and monitored based on IoT technology and their role in health tracking, stability, and recovery of COVID-19++ve individuals and front-line health workers. This paper aimed at initiation of an approach among front-line healthcare workers as well as biomedical engineers for developing digital healthcare platforms of monitoring and managing such pandemic.
{"title":"Internet of (Healthcare) Things Based Monitoring for COVID-19+ Quarantine/ Isolation Subjects Using Biomedical Sensors, A Lesson from the Recent Pandemic, and an Approach to the Future.","authors":"Azarudeen Mohamed Arif, Abubaker M. Hamad, Montasir Mohamed Mansour","doi":"10.35882/jeeemi.v5i1.267","DOIUrl":"https://doi.org/10.35882/jeeemi.v5i1.267","url":null,"abstract":"The COVID-19+ pandemic has brought into keen focus the necessity to utilize and enforce our digital infrastructure for remote patient monitoring based on IoT (Internet of Things) technology since quarantines and isolations are playing a vital role in containing its spread. As of date, many viral tests and vaccines are in use while few drugs are in experimental stages, but there is always need for possibilities for increasing reliability of disease detection and monitoring at both levels of individual and society, and such aim can be supported by wearable biomedical sensors devices. Previously, wearable devices have been used to monitor physiological parameters during daily human living activities. Still, the investment of such technologies toward predicting infection by COVID-19+ remains essential to alert potential patients and start sequence of health systems intervention. It was found that wearable devices increased patients’ compliance to healthcare advice. Thus, in this perspective review, we have proposed an IoT based system to monitor the quarantine / isolation subjects during COVID-19+ and similar pandemic and quarantine observation. This wearable prototype, associated with the bundled mobile app, act to reports and tracks/monitoring the quarantined individuals. IoT based quarantine/isolation monitoring system is contact-free that could benefit especially healthcare professionals to lower the risk of exposure to infective pathogens. Current manuscript describes clinically relevant physiological human parameters that can be measured by wearable biomedical sensors and monitored based on IoT technology and their role in health tracking, stability, and recovery of COVID-19++ve individuals and front-line health workers. This paper aimed at initiation of an approach among front-line healthcare workers as well as biomedical engineers for developing digital healthcare platforms of monitoring and managing such pandemic.","PeriodicalId":369032,"journal":{"name":"Journal of Electronics, Electromedical Engineering, and Medical Informatics","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114430222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-25DOI: 10.35882/jeeemi.v5i1.273
Hemad Heidari Jobaneh
Power-Added-Efficiency (PAE) is one of the most significant factors by which the performance of a Power Amplifier (PA) can be scrutinized. A new approach to increase PAE is proposed in this paper. Plus, the trade-off between increasing VDD for more output power and more PAE is examined. In addition, new and precise calculations for both output voltage and output power are achieved. Furthermore, the concept of using an equivalent circuit of a transformer is described to justify the new way to increase PAE. The designed Power Amplifier (PA) operates at 2.4GHz. The simulation is performed by Advanced Design System (ADS) and MATLAB. Plus, the TSMC 0.13 µm CMOS process is utilized to fulfil the procedure. The class E PA is designed to gain two different objectives, including more output power and more PAE. With VDD= 1.18 V the output power is 19.52 dBm and PAE is 68.5 %. Ultimately, with VDD=4.4 V the output power is 31.24 dBm and PAE is 62.7 %.
{"title":"Power Added Efficiency Enhancement in a 2.4 GHz Class E Power Amplifier in 0.13µm CMOS Technology","authors":"Hemad Heidari Jobaneh","doi":"10.35882/jeeemi.v5i1.273","DOIUrl":"https://doi.org/10.35882/jeeemi.v5i1.273","url":null,"abstract":"Power-Added-Efficiency (PAE) is one of the most significant factors by which the performance of a Power Amplifier (PA) can be scrutinized. A new approach to increase PAE is proposed in this paper. Plus, the trade-off between increasing VDD for more output power and more PAE is examined. In addition, new and precise calculations for both output voltage and output power are achieved. Furthermore, the concept of using an equivalent circuit of a transformer is described to justify the new way to increase PAE. The designed Power Amplifier (PA) operates at 2.4GHz. The simulation is performed by Advanced Design System (ADS) and MATLAB. Plus, the TSMC 0.13 µm CMOS process is utilized to fulfil the procedure. The class E PA is designed to gain two different objectives, including more output power and more PAE. With VDD= 1.18 V the output power is 19.52 dBm and PAE is 68.5 %. Ultimately, with VDD=4.4 V the output power is 31.24 dBm and PAE is 62.7 %.","PeriodicalId":369032,"journal":{"name":"Journal of Electronics, Electromedical Engineering, and Medical Informatics","volume":"266 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122699295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-29DOI: 10.35882/jeeemi.v4i4.239
Siti Zaibah, A. Nugraha, F. Ainudin
PT PAMA PERSADA is one of the power plants located in Kalimantan, Barunang which has 2 feeders. In one of the feeders, protection coordination often occurs. These disturbances can hamper the performance of the company PT PAMA PERSADA. This turned out to be a disturbance in the coordination of protection types of overcurrent relays and ground fault relays. Where in the end it takes an evaluation analysis of the relay setting coordination using the Electrical Transient Analysis Program (ETAP) 19.0.1 software on the electrical system. The disturbance that occurs is in feeder 2 which is divided into KM30 and Parilahung substations. This disturbance occurs because the relay coordination trips work simultaneously. From the results of the ETAP simulation, the power value is 4.164 KW, the reactive power is 780.3 KVAR, the apparent power is 4.237 KVA, and the cos phi value used is 0.9. Meanwhile, the protection coordination setting meets the IEEE 60255 standard with a grading time of 0.2 – 0.6 second. After being successfully simulated with the Electrical Transient Analysis Program (ETAP) 19.0.1 software, it was continued with the Matlab software which was used as an optimization of the relay settings and the use of the working effect of the NN (Neural Network) method. In accordance with the MSE (Main Square Error) value it reached 0.33452.
{"title":"Planning a Protection Coordination System Against Over Current Relays and Ground Fault Relays Using the NN Method","authors":"Siti Zaibah, A. Nugraha, F. Ainudin","doi":"10.35882/jeeemi.v4i4.239","DOIUrl":"https://doi.org/10.35882/jeeemi.v4i4.239","url":null,"abstract":"PT PAMA PERSADA is one of the power plants located in Kalimantan, Barunang which has 2 feeders. In one of the feeders, protection coordination often occurs. These disturbances can hamper the performance of the company PT PAMA PERSADA. This turned out to be a disturbance in the coordination of protection types of overcurrent relays and ground fault relays. Where in the end it takes an evaluation analysis of the relay setting coordination using the Electrical Transient Analysis Program (ETAP) 19.0.1 software on the electrical system. The disturbance that occurs is in feeder 2 which is divided into KM30 and Parilahung substations. This disturbance occurs because the relay coordination trips work simultaneously. From the results of the ETAP simulation, the power value is 4.164 KW, the reactive power is 780.3 KVAR, the apparent power is 4.237 KVA, and the cos phi value used is 0.9. Meanwhile, the protection coordination setting meets the IEEE 60255 standard with a grading time of 0.2 – 0.6 second. After being successfully simulated with the Electrical Transient Analysis Program (ETAP) 19.0.1 software, it was continued with the Matlab software which was used as an optimization of the relay settings and the use of the working effect of the NN (Neural Network) method. In accordance with the MSE (Main Square Error) value it reached 0.33452.","PeriodicalId":369032,"journal":{"name":"Journal of Electronics, Electromedical Engineering, and Medical Informatics","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123029462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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