Pub Date : 2021-09-30DOI: 10.17529/jre.v17i3.21681
Muhammad Faza Izzaturrahman Nugroho, Istikmal Istikmal, A. Irawan
Internet of Things (IoT) is a concept where all products can interact with each other to help human activities by utilizing the internet. The IoT system can help solve problems such as the schedule-based retrieval system at a temporary shelter in Indonesia. This paper creates a web-based geographic information system along with the IoT-based waste temporary shelter prototype. The prototype also integrated with an Arduino Microcontroller so that it can sort the waste automatically into three types of waste, then record data in the form of height and weight, and send the results of the data to the database so that the geographic information system can display the results of the data. Node-RED serves as an Application Programming Interface (API) that sends data from the server to the database belonging to a web-based geographic information system. The results of the performance analysis are that the prototype has sorted waste well, and the system also produced good QoS by ETSI standards when looking at the network traffic from the MQTT server to the database, and from the end-user to the web. As for the QoE results for tools and systems have produced good results according to the ITU-T standard.
{"title":"Design of IoT-based System for Smart Temporary Waste Shelter","authors":"Muhammad Faza Izzaturrahman Nugroho, Istikmal Istikmal, A. Irawan","doi":"10.17529/jre.v17i3.21681","DOIUrl":"https://doi.org/10.17529/jre.v17i3.21681","url":null,"abstract":"Internet of Things (IoT) is a concept where all products can interact with each other to help human activities by utilizing the internet. The IoT system can help solve problems such as the schedule-based retrieval system at a temporary shelter in Indonesia. This paper creates a web-based geographic information system along with the IoT-based waste temporary shelter prototype. The prototype also integrated with an Arduino Microcontroller so that it can sort the waste automatically into three types of waste, then record data in the form of height and weight, and send the results of the data to the database so that the geographic information system can display the results of the data. Node-RED serves as an Application Programming Interface (API) that sends data from the server to the database belonging to a web-based geographic information system. The results of the performance analysis are that the prototype has sorted waste well, and the system also produced good QoS by ETSI standards when looking at the network traffic from the MQTT server to the database, and from the end-user to the web. As for the QoE results for tools and systems have produced good results according to the ITU-T standard.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46963718","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 : 2021-06-30DOI: 10.17529/jre.v17i2.20806
Z. E. Fitri, Wildan Bakti Nugroho, A. Madjid, A. M. N. Imron
Every region in Indonesia has a very large diversity of banana species, but no system records information about the characteristics of banana varieties. The purpose of this research is to make an encyclopedia of banana types that can be used for learning by classifying banana varieties using banana images. This banana variety classification system uses image processing techniques and artificial neural network methods as classification methods.The varieties of bananas used are pisang merah, pisang pisang mas kirana, pisang klutuk, pisang raja and pisang cavendis. The parameters used are color features (Red, Green, and Blue) and shape features (area, perimeter, diameter, and length of fruit). The intelligent system used is the Backpropagation method and the Radial Basis Function Neural Network. The results showed that both methods were able to classify banana varieties with an accuracy rate of 98% for Backpropagation and 100% for the Radial Basis Function Neural Network.
{"title":"Comparison of Neural Network Methods for Classification of Banana Varieties (Musa paradiasaca)","authors":"Z. E. Fitri, Wildan Bakti Nugroho, A. Madjid, A. M. N. Imron","doi":"10.17529/jre.v17i2.20806","DOIUrl":"https://doi.org/10.17529/jre.v17i2.20806","url":null,"abstract":"Every region in Indonesia has a very large diversity of banana species, but no system records information about the characteristics of banana varieties. The purpose of this research is to make an encyclopedia of banana types that can be used for learning by classifying banana varieties using banana images. This banana variety classification system uses image processing techniques and artificial neural network methods as classification methods.The varieties of bananas used are pisang merah, pisang pisang mas kirana, pisang klutuk, pisang raja and pisang cavendis. The parameters used are color features (Red, Green, and Blue) and shape features (area, perimeter, diameter, and length of fruit). The intelligent system used is the Backpropagation method and the Radial Basis Function Neural Network. The results showed that both methods were able to classify banana varieties with an accuracy rate of 98% for Backpropagation and 100% for the Radial Basis Function Neural Network.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41297178","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 : 2021-06-30DOI: 10.17529/jre.v17i2.19578
D. Damiri, Achmad Aditya Nugraha
Renewable energy resources are currently being developed by Indonesia. The government is also targeting an energy mix of 23% to achieve renewable energy by 2025. One of the renewable energies is Solar Photovoltaic Generation System. On the other hand, an industrial area is an area filled with factories that are large enough so that it has great potential to develop Rooftop Solar Photovoltaic with the advantage of reducing land investment costs without reducing the operational function of the factory. The purpose of this research is to simulate the technical and economic performance of a 200kWP Solar Photovoltaic On grid on the rooftop of a factory building using Helioscope software in an industrial area in West Java. The simulation result shows that the average values for Global Horizontal Irradiance (GHI), Electrical Energy Production, and Performance Ratio (PR) in one year are 138.2 kWh/m2, 21,977 kWh, and 78.06%. Meanwhile, the total Electrical Energy Production in one year is 263,723.6 kWh. The total investment value of the 200kWP Rooftop Solar Photovoltaic On grid on the factory building is 2,457,850,800 IDR. Based on the economic feasibility study, it can be concluded that the 200kWP Rooftop Solar Photovoltaic On grid on the factory building rooftop is economically feasible as long as the interest rates is less than 12.71% (Internal Rate of Return / IRR).
{"title":"Technical Performance and Economic Feasibility Simulation of 200kWP Rooftop Solar Photovoltaic On grid on Industrial Estate Factory Building with Helioscope Software","authors":"D. Damiri, Achmad Aditya Nugraha","doi":"10.17529/jre.v17i2.19578","DOIUrl":"https://doi.org/10.17529/jre.v17i2.19578","url":null,"abstract":"Renewable energy resources are currently being developed by Indonesia. The government is also targeting an energy mix of 23% to achieve renewable energy by 2025. One of the renewable energies is Solar Photovoltaic Generation System. On the other hand, an industrial area is an area filled with factories that are large enough so that it has great potential to develop Rooftop Solar Photovoltaic with the advantage of reducing land investment costs without reducing the operational function of the factory. The purpose of this research is to simulate the technical and economic performance of a 200kWP Solar Photovoltaic On grid on the rooftop of a factory building using Helioscope software in an industrial area in West Java. The simulation result shows that the average values for Global Horizontal Irradiance (GHI), Electrical Energy Production, and Performance Ratio (PR) in one year are 138.2 kWh/m2, 21,977 kWh, and 78.06%. Meanwhile, the total Electrical Energy Production in one year is 263,723.6 kWh. The total investment value of the 200kWP Rooftop Solar Photovoltaic On grid on the factory building is 2,457,850,800 IDR. Based on the economic feasibility study, it can be concluded that the 200kWP Rooftop Solar Photovoltaic On grid on the factory building rooftop is economically feasible as long as the interest rates is less than 12.71% (Internal Rate of Return / IRR).","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44011053","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 : 2021-06-30DOI: 10.17529/jre.v17i2.15670
Widya Cahyadi, Ali Rizal Chaidir, Muchammad Farhan Anda
—Health is an important thing for human life. One way to determine a person’s health can be done by examining vital signs (TTV) to find out clinical signs by measuring the most basic body functions. TTV examination is also useful in determining the appropriate medical planning and can be used to strengthen the diagnosis of a disease. Most of the illness or even death related to environmental exposure temperature can be prevented, but often the victim’s decision is wrong or the patient’s reporting is delayed. Although a person in good health may experience varying degrees of exposure to heat or cold at different times, a person will be relatively at risk for illness and death in extreme environmental temperatures. One solution to overcome this problem is the use of Internet of Thing (IoT)-based hypothermia and hyperthermia detection tools that can detect disease early so that prevention can be done before it becomes more dangerous. The features of this tool are the measurement of body temperature, heart rate, and the detection of hypothermia or hyperthermia. This study, testing the application of fuzzy logic as a hypothermia and hyperthermia detection tool based on IoT-based body temperature and heart rate. The results of system testing with 10 subjects from instrumentation tools showed the same results as the medical officer’s statement with a 100% success rate.
{"title":"Penerapan Logika Fuzzy sebagai Alat Deteksi Hipotermia dan Hipertermia Pada Manusia Berbasis Internet Of Thing (Iot)","authors":"Widya Cahyadi, Ali Rizal Chaidir, Muchammad Farhan Anda","doi":"10.17529/jre.v17i2.15670","DOIUrl":"https://doi.org/10.17529/jre.v17i2.15670","url":null,"abstract":"—Health is an important thing for human life. One way to determine a person’s health can be done by examining vital signs (TTV) to find out clinical signs by measuring the most basic body functions. TTV examination is also useful in determining the appropriate medical planning and can be used to strengthen the diagnosis of a disease. Most of the illness or even death related to environmental exposure temperature can be prevented, but often the victim’s decision is wrong or the patient’s reporting is delayed. Although a person in good health may experience varying degrees of exposure to heat or cold at different times, a person will be relatively at risk for illness and death in extreme environmental temperatures. One solution to overcome this problem is the use of Internet of Thing (IoT)-based hypothermia and hyperthermia detection tools that can detect disease early so that prevention can be done before it becomes more dangerous. The features of this tool are the measurement of body temperature, heart rate, and the detection of hypothermia or hyperthermia. This study, testing the application of fuzzy logic as a hypothermia and hyperthermia detection tool based on IoT-based body temperature and heart rate. The results of system testing with 10 subjects from instrumentation tools showed the same results as the medical officer’s statement with a 100% success rate.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42166007","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 : 2021-06-30DOI: 10.17529/jre.v17i2.19884
N. Ramadhani, Suci Aulia, Efri Suhartono, Sugondo Hadiyoso
—Drowsiness while driving is one of the main causes of traffic accidents it affects the level of focus of the driver. Therefore, we need an automatic drowsiness detection mechanism for the driver to provide a warning or alarm so that an accident can be avoided. In this study, we design and simulate a system to detect drowsiness through the driver’s yawn expression. The acquisition is made by recording the face from two shooting points including the dashboard and front mirrors in the car. From the video recording, then it is taken into several images with a size of 128x82 pixels which are used as training and testing data. This image is then processed using Principal Component Analysis (PCA) for feature extraction and classified using a Support Vector Machine (SVM). From the tests carried out, the system generates the highest accuracy of 98%. This best performance is obtained by SVM with polynomial kernel in the camera position on the dashboard. Meanwhile, based on compression testing, the image that can still meet system requirements is 25% of the original size. It is hoped that the proposed drowsiness detection method in this study can be applied for real-time drowsiness detection in vehicles.
{"title":"Deteksi Kantuk pada Pengemudi Berdasarkan Penginderaan Wajah Menggunakan PCA dan SVM","authors":"N. Ramadhani, Suci Aulia, Efri Suhartono, Sugondo Hadiyoso","doi":"10.17529/jre.v17i2.19884","DOIUrl":"https://doi.org/10.17529/jre.v17i2.19884","url":null,"abstract":"—Drowsiness while driving is one of the main causes of traffic accidents it affects the level of focus of the driver. Therefore, we need an automatic drowsiness detection mechanism for the driver to provide a warning or alarm so that an accident can be avoided. In this study, we design and simulate a system to detect drowsiness through the driver’s yawn expression. The acquisition is made by recording the face from two shooting points including the dashboard and front mirrors in the car. From the video recording, then it is taken into several images with a size of 128x82 pixels which are used as training and testing data. This image is then processed using Principal Component Analysis (PCA) for feature extraction and classified using a Support Vector Machine (SVM). From the tests carried out, the system generates the highest accuracy of 98%. This best performance is obtained by SVM with polynomial kernel in the camera position on the dashboard. Meanwhile, based on compression testing, the image that can still meet system requirements is 25% of the original size. It is hoped that the proposed drowsiness detection method in this study can be applied for real-time drowsiness detection in vehicles.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43485871","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 : 2021-06-30DOI: 10.17529/jre.v17i2.20805
Kisron Kisron, B. S. B. Dewantara, H. Oktavianto
In a visual-based real detection system using computer vision, the most important thing that must be considered is the computation time. In general, a detection system has a heavy algorithm that puts a strain on the performance of a computer system, especially if the computer has to handle two or more different detection processes. This paper presents an effort to improve the performance of the trash detection system and the target partner detection system of a trash bin robot with social interaction capabilities. The trash detection system uses a combination of the Haar Cascade algorithm, Histogram of Oriented Gradient (HOG) and Gray-Level Coocurrence Matrix (GLCM). Meanwhile, the target partner detection system uses a combination of Depth and Histogram of Oriented Gradient (HOG) algorithms. Robotic Operating System (ROS) is used to make each system in separate modules which aim to utilize all available computer system resources while reducing computation time. As a result, the performance obtained by using the ROS platform is a trash detection system capable of running at a speed of 7.003 fps. Meanwhile, the human target detection system is capable of running at a speed of 8,515 fps. In line with the increase in fps, the accuracy also increases to 77%, precision increases to 87,80%, recall increases to 82,75%, and F1-score increases to 85,20% in trash detection, and the human target detection system has also improved accuracy to 81%, %, precision increases to 91,46%, recall increases to 86,20%, and F1-score increases to 88,42%.
{"title":"Improved Performance of Trash Detection and Human Target Detection Systems using Robot Operating System (ROS)","authors":"Kisron Kisron, B. S. B. Dewantara, H. Oktavianto","doi":"10.17529/jre.v17i2.20805","DOIUrl":"https://doi.org/10.17529/jre.v17i2.20805","url":null,"abstract":"In a visual-based real detection system using computer vision, the most important thing that must be considered is the computation time. In general, a detection system has a heavy algorithm that puts a strain on the performance of a computer system, especially if the computer has to handle two or more different detection processes. This paper presents an effort to improve the performance of the trash detection system and the target partner detection system of a trash bin robot with social interaction capabilities. The trash detection system uses a combination of the Haar Cascade algorithm, Histogram of Oriented Gradient (HOG) and Gray-Level Coocurrence Matrix (GLCM). Meanwhile, the target partner detection system uses a combination of Depth and Histogram of Oriented Gradient (HOG) algorithms. Robotic Operating System (ROS) is used to make each system in separate modules which aim to utilize all available computer system resources while reducing computation time. As a result, the performance obtained by using the ROS platform is a trash detection system capable of running at a speed of 7.003 fps. Meanwhile, the human target detection system is capable of running at a speed of 8,515 fps. In line with the increase in fps, the accuracy also increases to 77%, precision increases to 87,80%, recall increases to 82,75%, and F1-score increases to 85,20% in trash detection, and the human target detection system has also improved accuracy to 81%, %, precision increases to 91,46%, recall increases to 86,20%, and F1-score increases to 88,42%.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45205779","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 : 2021-06-30DOI: 10.17529/jre.v17i2.19900
R. Saputra, Suci Aulia, Syahban Rangkuti
Indonesia is an archipelago country with more than 70% of its territory consisting of water. Due to these geographical conditions, many Indonesian people rely on water transportation as a means of crossing transportation. However, many of the crossings in Indonesia still use a manual control system in determining the direction of the boat. In this study, a prototype control and tracking system designed for a boat engine can be used as an automatic control system (autopilot) in water transportation. This system is created using a waypoint control system that can navigate automatically to a predetermined location. This control system is designed with an electric control system that utilizes a microcontroller, GPS (Global Positioning System) module, and compass module as a navigation control device. From the test results, it can be concluded that the level of accuracy of the GPS coordinates reading is as far as 4.8 meters and based on the test of the waypoint navigation system , the system accuracy level is 10.8 meters.
{"title":"Desain Prototype Sistem Kendali dan Pelacakan Pada Mesin Boat","authors":"R. Saputra, Suci Aulia, Syahban Rangkuti","doi":"10.17529/jre.v17i2.19900","DOIUrl":"https://doi.org/10.17529/jre.v17i2.19900","url":null,"abstract":"Indonesia is an archipelago country with more than 70% of its territory consisting of water. Due to these geographical conditions, many Indonesian people rely on water transportation as a means of crossing transportation. However, many of the crossings in Indonesia still use a manual control system in determining the direction of the boat. In this study, a prototype control and tracking system designed for a boat engine can be used as an automatic control system (autopilot) in water transportation. This system is created using a waypoint control system that can navigate automatically to a predetermined location. This control system is designed with an electric control system that utilizes a microcontroller, GPS (Global Positioning System) module, and compass module as a navigation control device. From the test results, it can be concluded that the level of accuracy of the GPS coordinates reading is as far as 4.8 meters and based on the test of the waypoint navigation system , the system accuracy level is 10.8 meters.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47369008","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 : 2021-06-30DOI: 10.17529/jre.v17i2.20428
Rizka Reza Pahlevi, Parman Sukarno, B. Erfianto
Replay and eavesdropping attacks threaten the information security that is held by smart healthcare devices. An authenticated key exchange method to provide cryptography sessions is the best way to provide information security and secure authentication. However, smart healthcare devices do not have sufficient computation to perform heavy cryptography processes due to the limitations of the embedded devices used. We propose an authenticated key exchange protocol based on a physical unclonable function (PUF). The proposed protocol aimed to countermeasure from replay and eavesdropping attacks. We designed our protocol with one handshake process and three authentication processes. We evaluated our proposed protocol using Tamarin Prover. From the results of the evaluation, our proposed protocol can exchange properties correctly between communication actors and is valid in proving each lemma in eavesdropping and replay attacks.
{"title":"Secure MQTT PUF-Based Key Exchange Protocol for Smart Healthcare","authors":"Rizka Reza Pahlevi, Parman Sukarno, B. Erfianto","doi":"10.17529/jre.v17i2.20428","DOIUrl":"https://doi.org/10.17529/jre.v17i2.20428","url":null,"abstract":"Replay and eavesdropping attacks threaten the information security that is held by smart healthcare devices. An authenticated key exchange method to provide cryptography sessions is the best way to provide information security and secure authentication. However, smart healthcare devices do not have sufficient computation to perform heavy cryptography processes due to the limitations of the embedded devices used. We propose an authenticated key exchange protocol based on a physical unclonable function (PUF). The proposed protocol aimed to countermeasure from replay and eavesdropping attacks. We designed our protocol with one handshake process and three authentication processes. We evaluated our proposed protocol using Tamarin Prover. From the results of the evaluation, our proposed protocol can exchange properties correctly between communication actors and is valid in proving each lemma in eavesdropping and replay attacks.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46550160","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 : 2021-03-29DOI: 10.17529/JRE.V17I1.17863
Teuku Murisal Asyadi, Ira Devi Sara, S. Suriadi
Solar modules have current and voltage characteristics that are non-linear, so efforts must always be made to work at the maximum power point so that no energy is wasted. The characteristics of the solar module will change depending on the level of radiation and temperature which causes the output power of the solar module to fluctuate and become unstable. To reduce oscillations in the output power of the solar module, the Fuzzy Logic Control (FLC) method used using the boost converter. Several studies have been done to maximize the output power of solar panels, one of which is by using namely by using Maximum Power Point Tracking (MPPT). This study aims to obtain the maximum power point in a set of solar modules arranged in series and parallel through the performance of the FLC method. In tracking the maximum power point during normal operation, the fuzzy method works together with a boost converter. Fuzzy-based MPPT was tested on a solar module under several radiation and temperature conditions using Matlab / Simulink software. The Fuzzy design method shows better results compared to other methods. The results obtained show the advantages of the FLC method in terms settling time, power loss, and oscillation at the point of the operating system.
{"title":"Metode Maximum Power Point Tracking (MPPT) dan Boost Converter Menggunakan Fuzzy Logic Controller (FLC) pada Modul Surya","authors":"Teuku Murisal Asyadi, Ira Devi Sara, S. Suriadi","doi":"10.17529/JRE.V17I1.17863","DOIUrl":"https://doi.org/10.17529/JRE.V17I1.17863","url":null,"abstract":"Solar modules have current and voltage characteristics that are non-linear, so efforts must always be made to work at the maximum power point so that no energy is wasted. The characteristics of the solar module will change depending on the level of radiation and temperature which causes the output power of the solar module to fluctuate and become unstable. To reduce oscillations in the output power of the solar module, the Fuzzy Logic Control (FLC) method used using the boost converter. Several studies have been done to maximize the output power of solar panels, one of which is by using namely by using Maximum Power Point Tracking (MPPT). This study aims to obtain the maximum power point in a set of solar modules arranged in series and parallel through the performance of the FLC method. In tracking the maximum power point during normal operation, the fuzzy method works together with a boost converter. Fuzzy-based MPPT was tested on a solar module under several radiation and temperature conditions using Matlab / Simulink software. The Fuzzy design method shows better results compared to other methods. The results obtained show the advantages of the FLC method in terms settling time, power loss, and oscillation at the point of the operating system.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41969853","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 : 2020-12-12DOI: 10.17529/jre.v16i3.16742
Levy Olivia Nur, Raeida Widyananda, Heroe Wijanto
Penelitian ini mempresentasikan pengembangan desain sistem antena bowtie sebagai transmitter pada sistem Ground Penetrating Radar (GPR). Reflektor Artificial Magnetic Conductor (AMC) diintegrasikan pada sistem antena sebagai ground plane untuk mendapatkan gain yang tinggi, meningkatkan bandwidth dan menghasilkan antena yang low-profile . Antena dirancang bekerja pada frekuensi tengah 2,1 GHz dengan rentang 1,6 – 2,6 GHz dan memiliki karakteristik ultra -wideband (UWB) dengan nilai fractional bandwidth ≥ 25%. Selain itu, nilai late-time ringing juga harus dikurangi hingga – 30 dB untuk mencegah efek masking terhadap objek yang dideteksi. Pemodelan dan simulasi antena dilakukan untuk mendapatkan desain prototipe yang optimum. Realisasi antena bowtie dilakukan menggunakan RT Duroid 5880 sebagai substrat dengan konstanta dielektrik (e r ) = 2,2 dan ketebalan ( h ) = 1,57 mm. Reflektor AMC difabrikasi dengan substrat FR-4 Epoxy dengan konstanta dielektrik (e r ) = 4,4 dan ketebalan ( h ) = 1,6 mm. Hasil realisasi antena menunjukkan bahwa antena memiliki bandwidth = 510 MHz, return loss = -15,17 dB dan VSWR = 1,15. Pola radiasi antena bowtie terintegrasi AMC menghasilkan pola unidireksional dengan gain = 4,2 dB. Akan tetapi, nilai ringing level menjadi tinggi sebesar -19,18 dB. Pengembangan lebih lanjut diperlukan untuk mendapatkan nilai ringing level yang memenuhi spesifikasi sistem antena GPR.
{"title":"Pengembangan Antena Bowtie 2,1 GHz Terintegrasi Artificial Magnetic Conductor (AMC) untuk Aplikasi Antena Transmitter pada Sistem Ground Penetrating Radar (GPR)","authors":"Levy Olivia Nur, Raeida Widyananda, Heroe Wijanto","doi":"10.17529/jre.v16i3.16742","DOIUrl":"https://doi.org/10.17529/jre.v16i3.16742","url":null,"abstract":"Penelitian ini mempresentasikan pengembangan desain sistem antena bowtie sebagai transmitter pada sistem Ground Penetrating Radar (GPR). Reflektor Artificial Magnetic Conductor (AMC) diintegrasikan pada sistem antena sebagai ground plane untuk mendapatkan gain yang tinggi, meningkatkan bandwidth dan menghasilkan antena yang low-profile . Antena dirancang bekerja pada frekuensi tengah 2,1 GHz dengan rentang 1,6 – 2,6 GHz dan memiliki karakteristik ultra -wideband (UWB) dengan nilai fractional bandwidth ≥ 25%. Selain itu, nilai late-time ringing juga harus dikurangi hingga – 30 dB untuk mencegah efek masking terhadap objek yang dideteksi. Pemodelan dan simulasi antena dilakukan untuk mendapatkan desain prototipe yang optimum. Realisasi antena bowtie dilakukan menggunakan RT Duroid 5880 sebagai substrat dengan konstanta dielektrik (e r ) = 2,2 dan ketebalan ( h ) = 1,57 mm. Reflektor AMC difabrikasi dengan substrat FR-4 Epoxy dengan konstanta dielektrik (e r ) = 4,4 dan ketebalan ( h ) = 1,6 mm. Hasil realisasi antena menunjukkan bahwa antena memiliki bandwidth = 510 MHz, return loss = -15,17 dB dan VSWR = 1,15. Pola radiasi antena bowtie terintegrasi AMC menghasilkan pola unidireksional dengan gain = 4,2 dB. Akan tetapi, nilai ringing level menjadi tinggi sebesar -19,18 dB. Pengembangan lebih lanjut diperlukan untuk mendapatkan nilai ringing level yang memenuhi spesifikasi sistem antena GPR.","PeriodicalId":30766,"journal":{"name":"Jurnal Rekayasa Elektrika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44210058","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：