Jurnal Rekayasa Elektrika最新文献_第2页

Gas Detection and Classification Using Neural Network Based Gas Sensors 基于神经网络的气体传感器气体检测与分类

Jurnal Rekayasa Elektrika Pub Date : 2023-07-27 DOI: 10.17529/jre.v19i2.30974

Munaf Ismail, Sri Arttini Dwi Prasetyowati

引用次数: 0

Designing ANFIS Controller for MPPT on Photovoltaic System 光伏系统MPPT的ANFIS控制器设计

Jurnal Rekayasa Elektrika Pub Date : 2023-07-27 DOI: 10.17529/jre.v19i2.23394

Wahyu Setyo Pambudi, Riza Agung Firmansyah, Yuliyanto Agung Prabowo, Titiek Suheta, Fathammubina Fathammubina

引用次数: 0

Plant Monitoring Using a Web-View-Based Android Application as a Realization of the Implementation of the Smart Agriculture Concept 利用基于web视图的Android应用程序进行植物监测，实现智能农业概念的实现

Jurnal Rekayasa Elektrika Pub Date : 2023-07-27 DOI: 10.17529/jre.v19i2.31711

Supriyanto Supriyanto, Rohmat Rohmat

{"title":"Plant Monitoring Using a Web-View-Based Android Application as a Realization of the Implementation of the Smart Agriculture Concept","authors":"Supriyanto Supriyanto, Rohmat Rohmat","doi":"10.17529/jre.v19i2.31711","DOIUrl":"https://doi.org/10.17529/jre.v19i2.31711","url":null,"abstract":"The concept of Smart Farming has been adopted by utilizing microcontrollers, sensor devices, and actuators to regulate plant conditions. However, the communication methods with farmers, such as text messaging applications, are considered ineffective due to their limited features, and farmers cannot control monitoring devices. To address this issue, we developed a web-view-based application named Prospherine Smart Farming using PHP, Java, and MongoDB. The Software Development Life Cycle (SDLC) methodology was employed to ensure the proper functioning of the application. This application has comprehensive features that enable farmers to control monitoring devices, even remotely, and provide continuous information about farming conditions. Testing was conducted to ensure that all features functioned properly, and feedback was obtained from farmers. The research results indicate that using the Prospherine Smart Farming Application positively impacts farming activities. With this application, farmers can monitor their farming conditions in real-time and take necessary actions to enhance crop yields. The Prospherine Smart Farming Application can potentially improve agricultural efficiency and assist farmers in tackling challenges in the digital era.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135756138","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

Detection of Intermittent Oscillation in Process Control Loops with Semi-Supervised Learning 基于半监督学习的过程控制回路间歇振荡检测

Jurnal Rekayasa Elektrika Pub Date : 2023-07-27 DOI: 10.17529/jre.v19i2.31090

Nova Zidane Ibrahim, Awang Noor Indra Wardana, Agus Arif

{"title":"Detection of Intermittent Oscillation in Process Control Loops with Semi-Supervised Learning","authors":"Nova Zidane Ibrahim, Awang Noor Indra Wardana, Agus Arif","doi":"10.17529/jre.v19i2.31090","DOIUrl":"https://doi.org/10.17529/jre.v19i2.31090","url":null,"abstract":"Oscillations in the control loops indicate the poor performance of the control loops. The occurrence of oscillations in the process control loop is quite high in the industry, so it needs to be reduced so that the control loop can work properly. The first step for oscillation reduction is oscillation detection. One type of oscillation that is difficult to detect is intermittent oscillation. The smart factory concept encourages the development of the intermittent oscillation detection system using machine learning by being implemented online. Therefore, in this study an online intermittent oscillation detection program is built using K-nearest neighbor (KNN)-based Semi-supervised learning (SSL) method. The SSL method applied is self-training. The training data was obtained by a simulation of the Tennessee Eastman Process. The data is segmented based on window size and extracted time series features. The extracted data is used to build a model to detect oscillations caused by stiction, tuning errors, and external disturbances in the reactor. The model is implemented online with sliding windows and MQTT. The best accuracy and F1-score of the model obtained are 96.15% and 95.15%. In online detection, the model detects the type of oscillation with an average time of 305 seconds.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135756139","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 Duration of the Cycle to Get the P Amplitude on A Discrete Electrocardiogram 离散心电图P振幅的周期持续时间

Jurnal Rekayasa Elektrika Pub Date : 2023-07-27 DOI: 10.17529/jre.v19i2.31605

Sabar Setiawidayat

{"title":"The Duration of the Cycle to Get the P Amplitude on A Discrete Electrocardiogram","authors":"Sabar Setiawidayat","doi":"10.17529/jre.v19i2.31605","DOIUrl":"https://doi.org/10.17529/jre.v19i2.31605","url":null,"abstract":"The P amplitude value for each cycle has not been carried out even though it is related to indications of atrial hypertrophy. The basic interpretation of the maximum P amplitude under normal conditions is 2.5 small squares on electrocardiogram (ECG) paper which is equivalent to 2.5 mV. Apart from these interpretations, an amplitude value is required that corresponds to the amount of depolarization of the atrial muscle cells. The difficulty faced by researchers is the lack of discrete ecg data available for experiments, so it only depends on amplitude data as a function of Physionet output time. An ECG is produced using discrete data but there is no electrocardiograph that displays discrete data yet. This study aims to obtain the P amplitude value based on discrete electrocardiogram data. The cycle duration value obtained from R to R is used to obtain the initial position of the cycle (sc) with the formula RN+1-1.5dR for each cycle. The P amplitude value can be obtained by filtering the maximum amplitude value between the sc and RN positions. The results of research on 10 physionet samples and 10 RSSA samples showed that all samples had an amplitude R, cycle duration and P amplitude value in each cycle.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135755966","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

Analisis Kinerja Penggabungan Logika Fuzzy dan PID pada Penjejak Matahari Dua Sumbu 双源太阳跟踪器的模糊逻辑合并及PID性能分析

Jurnal Rekayasa Elektrika Pub Date : 2023-03-27 DOI: 10.17529/jre.v19i1.15128

M. Hasan, Yuwaldi Away, S. Suriadi, Andri Novandri

{"title":"Analisis Kinerja Penggabungan Logika Fuzzy dan PID pada Penjejak Matahari Dua Sumbu","authors":"M. Hasan, Yuwaldi Away, S. Suriadi, Andri Novandri","doi":"10.17529/jre.v19i1.15128","DOIUrl":"https://doi.org/10.17529/jre.v19i1.15128","url":null,"abstract":"—Utilization of renewable energy from solar panel systems is increasingly being applied, but until now its utilization has not been maximized. The movement of the sun caused by rotation of the earth and cloudy condition should be taken into account to maximize the electrical energy in solar panels. In this study, a concept to calculate the movement of a two-axis sun tracker is proposed by using a combination of two controller methods, i.e. Proportional Integral Derivative (PID) and Fuzzy logic known as Fuzzy-PID (F-PID). To follow the movement of the sun, the LDR sensor is used as an input to light as well as output used to drive 2 units servo for x-axis and y-axis. Sun tracker that is used is based on tetrahedron geometry and uses three Light Dependent Resistor (LDR) sensors as input. Input and output components are connected to the Atmega 328P by using a combination of Fuzzy logic and PID programs (F-PID). Fuzzy logic programming is first performed on the Matlab application using Fuzzy Inference System (FIS), then converted into an Arduino-based programming language. The sun tracker movement and the voltage received by the solar panel will be stored into the SD card using a data logging module. Adjusting the sun tracker movement using the combined Fuzzy logic and PID method intends to maximize the electrical energy received by the solar panel. The results showed that the F-PID method obtained the maximum voltage of 5.3 V, a maximum current of 0.11 A, and a maximum power of 0.61 W.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43234707","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

Model dan Kendali Modular pada Pendulum Terbalik tipe Rotary 回转后向的模型与模块化控制

Jurnal Rekayasa Elektrika Pub Date : 2023-03-27 DOI: 10.17529/jre.v19i1.28262

E. Susanto

引用次数: 1

Sistem Kontrol pada Automated Guided Vehicle Beroda Mekanum menggunakan Sliding Mode Controller 基于滑模控制器的自动导引机械车辆系统控制

Jurnal Rekayasa Elektrika Pub Date : 2023-03-27 DOI: 10.17529/jre.v19i1.28127

M. Faiz, B. Sumantri, Bima Sena Bayu Dewantara

引用次数: 0

Multi-Class Heart Abnormalities Detection Based on ECG Graph Using Transfer Learning Method 基于迁移学习方法的心电图多类心脏异常检测

Jurnal Rekayasa Elektrika Pub Date : 2023-03-27 DOI: 10.17529/jre.v19i1.28637

S. Hadiyoso, S. Aulia, I. D. Irawati

{"title":"Multi-Class Heart Abnormalities Detection Based on ECG Graph Using Transfer Learning Method","authors":"S. Hadiyoso, S. Aulia, I. D. Irawati","doi":"10.17529/jre.v19i1.28637","DOIUrl":"https://doi.org/10.17529/jre.v19i1.28637","url":null,"abstract":"The heart is one of the vital organs in the circulatory system. Regular checkups are very important to prevent heart disease. The most basic examination is blood pressure then further examination is related to the evaluation of the electrical activity of the heart using an electrocardiogram (ECG). The ECG carries important information regarding various abnormalities of heart function. Several automated classification techniques have been proposed to facilitate diagnosis. However, not all digital ECG devices provide raw data for analysis. ECG classification method based on images can be an alternative in classification. Therefore, in this study, it is proposed to classify ECG based on signal images. The proposed classification method uses transfer learning with VGG, AlexNet, and DenseNet architectures. The method used for the classification of multi-class ECG consists of normal, PVC, Atrial Fibrilation, AFL, Bigeminy, LBBB, and APB. The simulation results generate the best accuracy of 92% and F1-score of 92%. Best performance is achieved using DenseNet architecture at 60 epochs. This study is expected to be a new reference technique in the classification of ECG signals.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48986315","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

Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification System 基于模糊分类系统的探测区虾池水质水平分析

Jurnal Rekayasa Elektrika Pub Date : 2023-03-27 DOI: 10.17529/jre.v19i1.28631

Fithrotul Irda Amaliah, A. I. Gunawan, T. Taufiqurrahman, Bima Sena Bayu Dewantara, Ferry Astika Saputra

{"title":"Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification System","authors":"Fithrotul Irda Amaliah, A. I. Gunawan, T. Taufiqurrahman, Bima Sena Bayu Dewantara, Ferry Astika Saputra","doi":"10.17529/jre.v19i1.28631","DOIUrl":"https://doi.org/10.17529/jre.v19i1.28631","url":null,"abstract":"Since several years ago, vaname shrimp (Litopenaeus vannamei) has been extensively cultivated in Indonesia because it has good business opportunities. In aquaculture activities, water quality is an important factor that dramatically impacts the survival and quality of shrimp in the pond. Therefore, information of water quality must be known by the farmer for obtaining a satisfactory harvest. This study aims to develop a water quality monitoring system based on information of temperature, pH, salinity, and dissolved oxygen. The data from sensors are sent to the cloud utilizing Internet of Things (IoT) technology and then classified by a fuzzy logic system. In order to help farmers easily know the water quality of their shrimp pond, four sensor data including the result of classification from fuzzy logic are sent to the phone. After a trial of the system, 100% of the data are successfully sent to the cloud (google spreadsheet). The system also successfully classified the level of water quality as the expectation of the farmer. With this system, it is hoped that it can assist farmers in monitoring the water quality of shrimp pond to improve the quality and quantity of shrimp.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46107420","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: 1