Jurnal Nasional Teknik Elektro最新文献

Techno-Economic Analysis for Raja Ampat Off-Grid System 拉贾安帕离网系统的技术经济分析

Jurnal Nasional Teknik Elektro Pub Date : 2024-03-31 DOI: 10.25077/jnte.v13n1.1180.2024

Lukman Subekti, Candra Febri Nugraha, Muhammad Arrofiq, Ahmad Adhiim Muthahhari, Budi Eko Prasetyo, Qurrota A’yun

{"title":"Techno-Economic Analysis for Raja Ampat Off-Grid System","authors":"Lukman Subekti, Candra Febri Nugraha, Muhammad Arrofiq, Ahmad Adhiim Muthahhari, Budi Eko Prasetyo, Qurrota A’yun","doi":"10.25077/jnte.v13n1.1180.2024","DOIUrl":"https://doi.org/10.25077/jnte.v13n1.1180.2024","url":null,"abstract":"Indonesia, an expansive archipelagic nation with over 17,000 islands, encounters significant challenges in ensuring a sustainable and dependable electricity supply, particularly in its West Papua region. The reliance on diesel fuel for electricity generation in this area poses substantial environmental risks and incurs high costs. A comprehensive research study addressing the environmental and economic challenges associated with diesel dependence in West Papua proposed a shift towards sustainable and cost-effective solutions by advocating for adopting off-grid hybrid power systems. This study targeted Yensawai Village in the Raja Ampat Islands, employing a detailed techno-economic analysis through HOMER Pro to identify the most cost-effective system configurations. The findings indicated that the optimal setup consists of a 160 kW diesel generator, complemented by a 70.1 kW solar photovoltaic (PV) system, a 30 kW inverter, and an 80 kWh battery storage unit. This configuration not only proved to be economically viable by reducing the levelized cost of electricity (CoE) by 15.7%—achieving a CoE of $0.236/kWh compared to the base scenario's $0.280/kWh—but also highlighted the potential for similar benefits across regional systems. By focusing on the economic advantages of hybrid energy configurations, this research contributes significantly to the broader discourse on sustainability and the urgent need to reduce diesel dependence, offering a practical approach to cutting electricity generation costs in remote island communities and advancing sustainability initiatives.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140361396","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}

引用次数: 0

Development of DC Motor Speed Control Using PID Based on Arduino and Matlab For Laboratory Trainer 基于 Arduino 和 Matlab 的使用 PID 控制直流电机速度的实验室训练器开发

Jurnal Nasional Teknik Elektro Pub Date : 2024-03-31 DOI: 10.25077/jnte.v13n1.1155.2024

Heru Supriyono, Fedrik Fajar Alanro, Agus Supardi

{"title":"Development of DC Motor Speed Control Using PID Based on Arduino and Matlab For Laboratory Trainer","authors":"Heru Supriyono, Fedrik Fajar Alanro, Agus Supardi","doi":"10.25077/jnte.v13n1.1155.2024","DOIUrl":"https://doi.org/10.25077/jnte.v13n1.1155.2024","url":null,"abstract":"DC motors are widely used as propulsions, including in electric bicycles. The problem faced by students in the DC motor control laboratory working using software simulation is that they do not have practical learning experience using digital instruments. This article aims to develop a DC motor speed control that can be used to learn practical Proportional Integral Derivative (PID) control in the laboratory. The DC motor speed control was developed using a combination of Arduino UNO microcontroller and Matlab software. The PID method was used because it is still broadly studied and applied in industries. The test results showed that the developed trainer can work well with PID variable values that can be entered via the keypad, and DC motor transient responses can be displayed in Matlab. From the experimental results, it was found that the optimal PID variable values were Kp=0.04, Ki=0.05, and Kd=0.004, where the controller produced a low overshoot value, i.e., 0.73% of its set point and a settling time of 10.66 seconds. The test results of using the developed trainer in the Fundamental of Control Engineering laboratory work showed that the developed trainer gave students practical learning experience in designing PID control for DC motor speed by using digital equipment, i.e., microcontroller and actual DC motor as well as analyzing its corresponding transient response in Matlab software environment","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140358462","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}

引用次数: 0

IoT-Based Disaster Response Robot for Victim Identification in Building Collapses 基于物联网的灾难响应机器人用于识别建筑物倒塌中的受害者

Jurnal Nasional Teknik Elektro Pub Date : 2024-03-31 DOI: 10.25077/jnte.v13n1.1191.2024

Herlambang Sigit Pramono, Vando Gusti Al Hakim, Faris Alfianto

{"title":"IoT-Based Disaster Response Robot for Victim Identification in Building Collapses","authors":"Herlambang Sigit Pramono, Vando Gusti Al Hakim, Faris Alfianto","doi":"10.25077/jnte.v13n1.1191.2024","DOIUrl":"https://doi.org/10.25077/jnte.v13n1.1191.2024","url":null,"abstract":"Natural disasters like earthquakes frequently cause building collapses, trapping many victims under dense rubble. The first 72 hours are crucial for locating survivors, but the dangers of secondary collapse hinder direct access. Teleoperated robots can provide vital visual data to aid rescue efforts, though many prototypes remain constrained by high complexity, cost, and minimal customizability. This work investigates developing an Internet of Things (IoT) integrated disaster response robot that delivers accessible and remotely controllable capabilities for victim identification in hazardous collapse sites. Requirements analysis was conducted through a literature review and first responder interviews to determine the critical capabilities needed. The robot was designed using 3D modeling software and assembled using 3D printed and off-the-shelf components. It features remote-controllable movement, real-time video feed, geopositioning, and remote lighting toggling. Rigorous lab tests validated core functionalities, including camera image acquisition, Bluetooth communication ranges up to 10 meters, and comparable GPS coordinate accuracy to a smartphone. Further field experiments showcased the robot's ability to transmit smooth video signals over distances up to 12 meters and its adeptness at navigating complex terrains, evidenced by its proficient left/right panning and ability to surmount obstacles. An affordable Internet-of-Things integrated disaster robot tailored to victim identification was successfully designed, prototyped, and tested. This robot aids search and rescue operations by delivering visual and spatial data about hard-to-reach victims during the critical hours after disaster strikes. This confirms strong potential, accessibility, and customizability for professional and volunteer urban search and rescue teams across environments and economic constraints.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140361195","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}

引用次数: 0

Image Processing-Based Application for Determining Wound Types in Forensic Medical Cases 基于图像处理的应用，用于确定法医案件中的伤口类型

Jurnal Nasional Teknik Elektro Pub Date : 2024-03-29 DOI: 10.25077/jnte.v13n1.1148.2024

Elvira Sukma Wahyuni, Alvita Widya, Kustiawan Putri, Nisa Agustin Pratiwi Pelu, Firdaus, I. A. Wiraagni

{"title":"Image Processing-Based Application for Determining Wound Types in Forensic Medical Cases","authors":"Elvira Sukma Wahyuni, Alvita Widya, Kustiawan Putri, Nisa Agustin Pratiwi Pelu, Firdaus, I. A. Wiraagni","doi":"10.25077/jnte.v13n1.1148.2024","DOIUrl":"https://doi.org/10.25077/jnte.v13n1.1148.2024","url":null,"abstract":"Wounds result from physical violence that damages the continuity of body tissues and are frequently observed in forensic medicine and medicolegal science. In forensic medicine and medicolegal science, wounds play a significant role in creating a medicolegal examination and report (VeR) for deceased individuals and living victims. However, research findings indicate that the quality of clinical forensic descriptive results in VeR needs to improve in several hospitals in Indonesia. Meanwhile, high-quality VeR results are crucial in determining penalties for perpetrators in court, and poor VeR results can hinder the legal process. The application of information technology in medicine has yielded numerous tools that can assist experts in carrying out their duties. Likewise, clinical forensics, a generally conservative forensic pathology practice, can be enhanced through image-processing techniques and machine learning. Digital technology support for forensic cases has been available previously, such as in forensic photography; however, its application still needs improvement, and further development is required. This study applied a Yolo V4-based machine learning and image processing algorithm to classify and detect types of wounds. This algorithm was chosen for its high speed and accuracy in classification and detection tasks. The research results showed that the learning model's performance, measured in accuracy, precision, recall, and average F1 score, reached 92%. Usability testing showed that the system performed well and could be helpful with minor improvements.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140367830","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}

引用次数: 0

Comparative Analysis of Two-Stage and Single-Stage Models in Batteryless PV Systems for Motor Power Supply 用于电机供电的无电池光伏系统中两级模式和单级模式的比较分析

Jurnal Nasional Teknik Elektro Pub Date : 2024-03-29 DOI: 10.25077/jnte.v13n1.1177.2024

Wayan Sutaya, Ida Ayu, Dwi Giriantari, W. G. Ariastina, Nyoman Satya Kumara

{"title":"Comparative Analysis of Two-Stage and Single-Stage Models in Batteryless PV Systems for Motor Power Supply","authors":"Wayan Sutaya, Ida Ayu, Dwi Giriantari, W. G. Ariastina, Nyoman Satya Kumara","doi":"10.25077/jnte.v13n1.1177.2024","DOIUrl":"https://doi.org/10.25077/jnte.v13n1.1177.2024","url":null,"abstract":"Implementing photovoltaic (PV) systems as direct power sources for motors without batteries is a complex process that requires a sophisticated control mechanism. The crucial aspect of PV systems is the Maximum Power Point Tracking (MPPT) process, which ensures that the installed PV system generates optimal energy output. A recent study has analyzed research related to PV systems supplying power to pump motors, and the results have successfully classified these systems into two main models: the two-stage and the single-stage. The two-stage model involves separate power tracking and load consumption control processes, while the single-stage model integrates power tracking and load consumption control into a single process. A comparative analysis of these two models has revealed that the two-stage model exhibits higher stability due to the separate power tracking and load consumption control processes. Aspects such as the MPPT process, motor power consumption, and the utilization of DC-link capacitors were examined in this study. The findings of this comparative study contribute valuable insights into the effectiveness and stability of two-stage and single-stage models in PV systems supplying power to motors without batteries. The results will significantly interest researchers and practitioners working in Photovoltaic systems and motor control, providing helpful information for designing and implementing more efficient and reliable PV systems.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140365602","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}

引用次数: 0

Enhanced Identification of Valvular Heart Diseases through Selective Phonocardiogram Features Driven by Convolutional Neural Networks (SFD-CNN) 通过卷积神经网络（SFD-CNN）驱动的选择性心电图特征增强瓣膜性心脏病的识别能力

Jurnal Nasional Teknik Elektro Pub Date : 2024-03-29 DOI: 10.25077/jnte.v13n1.1184.2024

Muhammad Rafli Ramadhan, Satria Mandala, Rafi Ullah, Wael M.S. Yafooz, Muhammad Qomaruddin

{"title":"Enhanced Identification of Valvular Heart Diseases through Selective Phonocardiogram Features Driven by Convolutional Neural Networks (SFD-CNN)","authors":"Muhammad Rafli Ramadhan, Satria Mandala, Rafi Ullah, Wael M.S. Yafooz, Muhammad Qomaruddin","doi":"10.25077/jnte.v13n1.1184.2024","DOIUrl":"https://doi.org/10.25077/jnte.v13n1.1184.2024","url":null,"abstract":"Valvular Heart Disease (VHD) is a significant cause of mortality worldwide. Although extensive research has been conducted to address this issue, practical implementation of existing VHD detection results in medicine still falls short of optimal performance. Recent investigations into machine learning for VHD detection have achieved commendable accuracy, sensitivity, and robustness. To address this limitation, our research proposes utilizing Selective Phonocardiogram Features Driven by Convolutional Neural Networks (SFD-CNN) to enhance VHD detection. Notably, SFD-CNN operates on phonocardiogram (PCG) signals, distinguishing itself from existing methods based on electrocardiogram (ECG) signals. We present two experimental scenarios to assess the performance of SFD-CNN: one under default parameter conditions and another with hyperparameter tuning. The experimental results demonstrate that SFD-CNN surpasses other existing models, achieving outstanding accuracy (96.80%), precision (93.25%), sensitivity (91.99%), specificity (98.00%), and F1-score (92.09%). The outstanding performance of SFD-CNN in VHD detection suggests that it holds great promise for practical use in various medical applications. Its potential lies in its ability to accurately identify and classify VHD, enabling early detection and timely intervention. SFD-CNN could significantly improve patient outcomes and reduce the burden on healthcare systems. With further development and refinement, SFD-CNN has the potential to revolutionize the field of VHD detection and become an indispensable tool for healthcare professionals.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140366716","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}

引用次数: 0

Solar Panel Efficiency Improvement through Dual-Axis Solar Tracking with Fuzzy Logic and Water Treatment Techniques 利用模糊逻辑和水处理技术通过双轴太阳能跟踪提高太阳能电池板效率

Jurnal Nasional Teknik Elektro Pub Date : 2023-11-30 DOI: 10.25077/jnte.v12n3.1120.2023

Levin Halim, Sin Euy Gun, Faisal Wahab

{"title":"Solar Panel Efficiency Improvement through Dual-Axis Solar Tracking with Fuzzy Logic and Water Treatment Techniques","authors":"Levin Halim, Sin Euy Gun, Faisal Wahab","doi":"10.25077/jnte.v12n3.1120.2023","DOIUrl":"https://doi.org/10.25077/jnte.v12n3.1120.2023","url":null,"abstract":"Indonesia's heavy reliance on non-renewable energy sources, such as fossil fuels and other resources obtained from mining, poses sustainability challenges. Solar panels, which are environmentally friendly and renewable energy alternatives, are designed to convert solar energy into electricity, and they have shown room for improvement in their efficiency. One method to enhance its efficiency is the utilization of dual-axis solar tracking, employing linear actuators for control over both horizontal and vertical panel movements. In addition, solar panels frequently experience efficiency losses as a result of high working temperatures when exposed to sunlight. The use of water treatment techniques may help address this problem. In this research, the two-axis solar tracking approach with water treatment methods were combined to achieve greater efficiency and boost energy production. A notable increase in solar panel efficiency was seen subsequent to the design, implementation, and testing of the proposed system, resulting in a notable rise in power output. Combining the two-axis solar tracking approach with water treatment methods produced solar panels with a 7.46% efficiency and a 17.77% power increment. Dual-axis solar tracking and combined with water treatment could significantly increase solar panel efficiency, which will ultimately lead to environtmentally clean renewable energy production increment.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139208990","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}

引用次数: 0

The Effect of Electricity Supply Interruptions on Small Business Productivity in West Sumatra 电力供应中断对西苏门答腊小企业生产力的影响

Jurnal Nasional Teknik Elektro Pub Date : 2023-11-30 DOI: 10.25077/jnte.v12n3.1092.2023

Muhammad Imran Hamid, Sulfandri, Afifah

{"title":"The Effect of Electricity Supply Interruptions on Small Business Productivity in West Sumatra","authors":"Muhammad Imran Hamid, Sulfandri, Afifah","doi":"10.25077/jnte.v12n3.1092.2023","DOIUrl":"https://doi.org/10.25077/jnte.v12n3.1092.2023","url":null,"abstract":"This research examines the impact of interruptions in electricity supply on the production of small and medium enterprises in West Sumatra from 2014 to 2021. The data used in the research was obtained from the Ministry of Trade and Industry of West Sumatra, including the production variables, employment, investment, and other variables that influence the production activities. A regression equation connecting production factors and production levels is formulated. Furthermore, another regression equation is also formulated by considering the electricity interruption factor, namely the SAIDI index on production levels. The effect of electrical power interruptions is then evaluated by comparing the two equations. The research results show that the most significant production loss occurred in 2019, 16.07 hours/year, while the most negligible loss occurred in 2015, 6.53 hours/year. Trend data collected during the research period regarding loss conditions and interruption parameters shows that electricity disturbances do not have a linear impact on production losses. The research also shows that electric power does not significantly impact the production activities of small and medium enterprises in West Sumatra.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139204903","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}

引用次数: 0

Electromedical Device And Expert System for Early Detection of Hyperemesis Gravidarum 用于早期检测孕吐的电子医疗设备和专家系统

Jurnal Nasional Teknik Elektro Pub Date : 2023-11-30 DOI: 10.25077/jnte.v12n3.1130.2023

Fitrilina Fitrilina, Ganesha, Yanolanda Suzantry Handayani, Alex Surapati, Rahayu Trisetyowati Untari, Heru Dibyo Laksono, Melda Latif

{"title":"Electromedical Device And Expert System for Early Detection of Hyperemesis Gravidarum","authors":"Fitrilina Fitrilina, Ganesha, Yanolanda Suzantry Handayani, Alex Surapati, Rahayu Trisetyowati Untari, Heru Dibyo Laksono, Melda Latif","doi":"10.25077/jnte.v12n3.1130.2023","DOIUrl":"https://doi.org/10.25077/jnte.v12n3.1130.2023","url":null,"abstract":"Hyperemesis Gravidarum (HG) is a pregnancy complication that is often overlooked as it is typically considered normal. If HG is not properly treated, nutrition will not be fulfilled which can negatively affect maternal and fetal health and even maternal and fetal death. The exact cause of HG is not identified, so there are no effective preventive methods. However early detection can help for prompt and appropriate treatment. Therefore, a monitoring system for pregnancy conditions was designed for HG early detection. This system employs the MPX5050 DP pressure sensor for measuring blood pressure, the MAX30100 for assessing maternal heart rate and oxygen saturation, the MAX4466 sensor for monitoring fetal heart rate, and an expert system using the certainty factor method to diagnose the probability of hyperemesis gravidarum. The expert system achieves an accuracy of 93.33%. In comparison to the aneroid sphygmomanometer, the designed sphygmomanometer reveals a mean difference of 3.5 mmHg for diastolic pressure, with a standard deviation below 8 mmHg for both systolic and diastolic pressures. The measurement of heart rate and oxygen saturation has a deviation of 1.8 % and 1.02 % respectively. These deviations align with the standards specified by the Ministry of Health for medical devices. For the fetal heart rate, the mean deviation is 3.4 bpm, and the measurement error is 2.38%. Thus, this system can be utilized to monitor pregnancy conditions, enabling the early detection of hyperemesis gravidarum","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139200142","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}

引用次数: 0

Multiclass Classification of Myocardial Infarction Based on Phonocardiogram Signals Using Ensemble Learning 利用集合学习对基于声心动图信号的心肌梗死进行多类分类

Jurnal Nasional Teknik Elektro Pub Date : 2023-11-30 DOI: 10.25077/jnte.v12n3.1121.2023

Nia Madu Marliana, Satria Mandala, Yuan Wen, Hau, Wael M.S. Yafooz

{"title":"Multiclass Classification of Myocardial Infarction Based on Phonocardiogram Signals Using Ensemble Learning","authors":"Nia Madu Marliana, Satria Mandala, Yuan Wen, Hau, Wael M.S. Yafooz","doi":"10.25077/jnte.v12n3.1121.2023","DOIUrl":"https://doi.org/10.25077/jnte.v12n3.1121.2023","url":null,"abstract":"Myocardial infarction (MI) is a serious cardiovascular disease with a high mortality rate worldwide. Early detection and consistent treatment can significantly reduce mortality from cardiovascular diseases. However, there is a need for efficient models that can enable the early detection of heart disease without relying on trained clinical experts. MI studies using phonocardiogram (PCG) signals and implementing ensemble learning models are still relatively scarce, often resulting in poor accuracy and low detection rates. This study aims to implement an ensemble learning model for the classification of MI using PCG signals into different classes. In this stage of research, several classification algorithms, including Random Forest and Logistic Regression, serve as basic models for ensemble learning, utilizing features extracted from audio signals. Evaluation of the model's performance reveals that the stacking model achieves an accuracy of 96%. These results demonstrate that our system can appropriately and accurately classify MI within PCG data. We believe that the findings of this study will enhance the diagnosis and treatment of heart attacks, making them more effective and accurate.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139198394","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}

引用次数: 0