A. Wibawa, Lukas Purba Wasesa, Wridhasari Hayuningtyas
Covid-19 pandemic is one of the biggest challenges that each country around the world has to overcome. This pandemic has affected a lot of countries in many sectors including Indonesia. During the year 2020 when Covid-19 cases rise in Indonesia, the poverty rate has also increased by 0.97% meaning almost 270.000 people went poor. Understanding the impact and the resilience especially on the primary industry during the Covid-19 situation is important to decrease the poverty rate as well as create new alternative strategies for the government to overcome. However, the economic resilience of primary industries such as fishing and plantation is still less to explore. In this study, the economic resilience of four major industries in Indonesia when facing the Covid-19 pandemic is presented namely tourism, fishery, plantation, and micro and small business. Bivariate correlation analysis is applied to calculate the statistical correlation between the growth of poverty rate during the Covid-19 pandemic with four major industries in 34 provinces. Based on the result, it can be concluded that plantation industries are the most resilient industries while facing the Covid-19 pandemic, so the provinces with plantation industries as their main industry are less likely to have major growth in poverty rate compared to other provinces with fewer plantation industries. The second most resilient industry is fishing. Meanwhile, the tourism industry is the most vulnerable during the pandemic situation. In this study, the qualitative analysis especially in Riau and Bali provinces is also presented.
{"title":"Data Analytics on Indonesia Industries Economic Resilience Based on Poverty Rate Growth During Covid-19 Pandemic","authors":"A. Wibawa, Lukas Purba Wasesa, Wridhasari Hayuningtyas","doi":"10.12962/jaree.v6i1.274","DOIUrl":"https://doi.org/10.12962/jaree.v6i1.274","url":null,"abstract":"Covid-19 pandemic is one of the biggest challenges that each country around the world has to overcome. This pandemic has affected a lot of countries in many sectors including Indonesia. During the year 2020 when Covid-19 cases rise in Indonesia, the poverty rate has also increased by 0.97% meaning almost 270.000 people went poor. Understanding the impact and the resilience especially on the primary industry during the Covid-19 situation is important to decrease the poverty rate as well as create new alternative strategies for the government to overcome. However, the economic resilience of primary industries such as fishing and plantation is still less to explore. In this study, the economic resilience of four major industries in Indonesia when facing the Covid-19 pandemic is presented namely tourism, fishery, plantation, and micro and small business. Bivariate correlation analysis is applied to calculate the statistical correlation between the growth of poverty rate during the Covid-19 pandemic with four major industries in 34 provinces. Based on the result, it can be concluded that plantation industries are the most resilient industries while facing the Covid-19 pandemic, so the provinces with plantation industries as their main industry are less likely to have major growth in poverty rate compared to other provinces with fewer plantation industries. The second most resilient industry is fishing. Meanwhile, the tourism industry is the most vulnerable during the pandemic situation. In this study, the qualitative analysis especially in Riau and Bali provinces is also presented.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"87 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91106593","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}
The use of information and communication technology has increased along with the Covid-19 pandemic in early 2020 which made the whole world turn into digitalization. This study focuses on analyzing the maturity level of ICT utilization on East Java’s MSMEs using the Business Model Canvas (BMC) approach and the Capability Maturity Model ISAC FOUNDATION (2007) and evaluating gaps. The results of the analysis shows the maturity average of ICT utilization in East Java’s MSMEs is 0.86, which is at Level 1 (Initial), the gap average is 2,13 and the gap maturity value in ICT utilization in East Java’s MSMEs is Large, that is 1,5.Keywords—ICT, Maturity Level, MSMEs
{"title":"ANALYSIS OF MATURITY LEVELS OF ICT UTILIZATION ON EAST JAVA’S MICRO, SMALL, MEDIUM ENTERPRISES (MSMEs) IN THE NEW HABITS ADAPTATION ERA","authors":"S. -. Amalia, A. Affandi, S. Sumpeno","doi":"10.12962/jaree.v6i1.267","DOIUrl":"https://doi.org/10.12962/jaree.v6i1.267","url":null,"abstract":"The use of information and communication technology has increased along with the Covid-19 pandemic in early 2020 which made the whole world turn into digitalization. This study focuses on analyzing the maturity level of ICT utilization on East Java’s MSMEs using the Business Model Canvas (BMC) approach and the Capability Maturity Model ISAC FOUNDATION (2007) and evaluating gaps. The results of the analysis shows the maturity average of ICT utilization in East Java’s MSMEs is 0.86, which is at Level 1 (Initial), the gap average is 2,13 and the gap maturity value in ICT utilization in East Java’s MSMEs is Large, that is 1,5.Keywords—ICT, Maturity Level, MSMEs","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88041733","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}
Moh. Ifaldi Akbar, M. Z. Efendi, Syechu Dwitya Nugraha
Over time, the earth where we live is getting warmer every year, this is due to the excessive use of fossil energy which is not environmentally friendly and also the greenhouse effect. Of course, this is not very good for the sustainability of our environment, with the depletion of the ozone layer on our earth, especially since Indonesia is known as a country with a tropical climate, of course, with the resulting impact, our country will be increasingly affected by the impact. In this battery charging using vrla battery and the system has a working system by utilizing a source of lighting from the sun which will be processed into a source of electricity with a solar panel, the system is designed with an output voltage of 14 vdc with an input voltage of 36 vdc from the solar panel, the voltage will be lowered through the SEPIC converter according to the value The duty cycle is set on the mosfet to charge the battery according to the calculation of load requirements. This system focuses on how to maximize battery charging using the CC-CV (constant current-constant voltage) method with a type-2 fuzzy logic algorithm and how the battery lifetime can last a relatively long time and condition switch on cc to cv on soc 99.60%.
{"title":"SEPIC Converter for Lead Acid Battery Charger Using Fuzzy Logic type-2 Controller","authors":"Moh. Ifaldi Akbar, M. Z. Efendi, Syechu Dwitya Nugraha","doi":"10.12962/jaree.v6i1.240","DOIUrl":"https://doi.org/10.12962/jaree.v6i1.240","url":null,"abstract":"Over time, the earth where we live is getting warmer every year, this is due to the excessive use of fossil energy which is not environmentally friendly and also the greenhouse effect. Of course, this is not very good for the sustainability of our environment, with the depletion of the ozone layer on our earth, especially since Indonesia is known as a country with a tropical climate, of course, with the resulting impact, our country will be increasingly affected by the impact. In this battery charging using vrla battery and the system has a working system by utilizing a source of lighting from the sun which will be processed into a source of electricity with a solar panel, the system is designed with an output voltage of 14 vdc with an input voltage of 36 vdc from the solar panel, the voltage will be lowered through the SEPIC converter according to the value The duty cycle is set on the mosfet to charge the battery according to the calculation of load requirements. This system focuses on how to maximize battery charging using the CC-CV (constant current-constant voltage) method with a type-2 fuzzy logic algorithm and how the battery lifetime can last a relatively long time and condition switch on cc to cv on soc 99.60%. ","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86305159","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}
Putri Nur Rahayu, Danang Erwanto, Asti Riani Putri
Feature extraction can be used to know the characteristic of timber’s texture. Characteristic of timber’s texture can be used to help researcher to identify DNA of timbers which can be detected illegal logging in Indonesia. In this reseach the proposed method is combination GLCM, Color Moment, and Isotropic Undecimated Wavelet Transform (IUWT). The result of the proposed method has agood accuracy.
{"title":"Extraction of Timber’s Features using GLCM, Color Moment and Isotropic Undecimated Wavelet Transform (IUWT)","authors":"Putri Nur Rahayu, Danang Erwanto, Asti Riani Putri","doi":"10.12962/jaree.v6i1.147","DOIUrl":"https://doi.org/10.12962/jaree.v6i1.147","url":null,"abstract":"Feature extraction can be used to know the characteristic of timber’s texture. Characteristic of timber’s texture can be used to help researcher to identify DNA of timbers which can be detected illegal logging in Indonesia. In this reseach the proposed method is combination GLCM, Color Moment, and Isotropic Undecimated Wavelet Transform (IUWT). The result of the proposed method has agood accuracy. ","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74517943","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}
Nova Prista La Adisamu, E. Endroyono, S. M. S. Nugroho
Abstract— Economic development and high competitiveness are significant factors in a region’s success, especially since the enactment of Law Number 32 of 2004 on Regional Government, which converted the centralized to a decentralized system. This study analyzes the GRDP data of Tual City and Maluku Province using the shift share method and the Location Quotient method, resulting in a shift share assessment of Tual City’s regional competitiveness. It can be seen that the economic state of Tual City is still influenced by the Maluku Province’s economic growth of 593,688 with an overall slowdown in Proportional Shift of (-633.686) and an differential shift of (-5,756.040) during 9 years. The ARIMA forecasting method was then used to project the province’s 5th-year economic growth of 8,486,707 (billions) in the 5th period.
{"title":"Shift Share Location Quotient, and ARIMA Forecasting Methods in the Analysis of the Competitiveness of Tual City and the Economic Growth of the Maluku Province.","authors":"Nova Prista La Adisamu, E. Endroyono, S. M. S. Nugroho","doi":"10.12962/jaree.v6i1.237","DOIUrl":"https://doi.org/10.12962/jaree.v6i1.237","url":null,"abstract":" Abstract— Economic development and high competitiveness are significant factors in a region’s success, especially since the enactment of Law Number 32 of 2004 on Regional Government, which converted the centralized to a decentralized system. This study analyzes the GRDP data of Tual City and Maluku Province using the shift share method and the Location Quotient method, resulting in a shift share assessment of Tual City’s regional competitiveness. It can be seen that the economic state of Tual City is still influenced by the Maluku Province’s economic growth of 593,688 with an overall slowdown in Proportional Shift of (-633.686) and an differential shift of (-5,756.040) during 9 years. The ARIMA forecasting method was then used to project the province’s 5th-year economic growth of 8,486,707 (billions) in the 5th period.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74533291","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}
P. Petrashin, W. Lancioni, Agustin Laprovitta, J. Castagnola
Oscillation based testing (OBT) has proven to be a simple and effective test strategy for numerous kind of circuits. In this work, OBT is applied to a radiation sensor to be used as a VLSI cell in embedded applications, implementing an oscillation built-in self-test (OBIST) structure. The oscillation condition is achieved by means of a minimally intrusive switched feedback loop and the response evaluation circuit can be included in a very simple way, minimizing the hardware overhead. The fault simulation indicates a fault coverage of 100% for the circuit under test.Keywords: fault simulation, mixed signal testing, OBIST, oscillation-based test, VLSI testing.
{"title":"Embedded Radiation sensor with OBIST structure for applications in mixed signal systems","authors":"P. Petrashin, W. Lancioni, Agustin Laprovitta, J. Castagnola","doi":"10.12962/jaree.v5i2.194","DOIUrl":"https://doi.org/10.12962/jaree.v5i2.194","url":null,"abstract":"Oscillation based testing (OBT) has proven to be a simple and effective test strategy for numerous kind of circuits. In this work, OBT is applied to a radiation sensor to be used as a VLSI cell in embedded applications, implementing an oscillation built-in self-test (OBIST) structure. The oscillation condition is achieved by means of a minimally intrusive switched feedback loop and the response evaluation circuit can be included in a very simple way, minimizing the hardware overhead. The fault simulation indicates a fault coverage of 100% for the circuit under test.Keywords: fault simulation, mixed signal testing, OBIST, oscillation-based test, VLSI testing.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"80 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82445098","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}
Renewable energy application using Photovoltaic (PV) is developed as a conversion from solar energy into electrical energy. PV produces output power according to irradiation and temperature conditions. PV has a Maximum Power Point or MPP based on P-V characteristic curve. In certain conditions, PV has an unstable output power then the accuracy of the power generated is not maximum. MPPT method with conventional control is not optimal to resolves power inaccuracies in the system. When the system has a circuit problem, the conventional power converter will be damage. To achieve accuracy and maximize PV output, the Maximum Power Point method will find MPP. Using MPPT Fuzzy Type-2 method on the converter can reliably overcome the inaccuracies and tracking speed of PV power. Full Bridge Converter topology is used as a safety circuit with a high-frequency isolation transformer. Implemented on MATLAB/Simulink software, Simulation results in Model 1 show that the average power accuracy with Fuzzy Type-2 is 91.40% compared to Fuzzy Type-1 with an average power accuracy of 80.64%. In Model 2, Fuzzy Type-2 is 87.63% compared to Fuzzy Type-1 of 77.93%. MPPT method using fuzzy type-2 is better than using fuzzy type-1 in terms of power accuracy.Keywords: full bridge converter, fuzzy type-2, MATLAB/Simulink, maximum power point tracking, photovoltaic.
利用光伏(PV)将太阳能转化为电能，发展可再生能源应用。PV根据辐照和温度条件产生输出功率。PV根据P-V特性曲线有一个最大功率点(Maximum Power Point, MPP)。在某些情况下，光伏发电的输出功率不稳定，因此发电的精度不是最大的。采用常规控制的MPPT方法不能很好地解决系统中的功率误差。当系统出现电路问题时，常规的功率变换器会受到损坏。为了达到准确性和最大化PV输出，最大功率点方法将找到MPP。在变流器上采用模糊2型MPPT方法可以可靠地克服光伏发电的不准确性和跟踪速度。全桥变换器拓扑结构采用高频隔离变压器作为安全电路。在MATLAB/Simulink软件上实现，模型1的仿真结果表明，模糊类型2的平均功率精度为91.40%，而模糊类型1的平均功率精度为80.64%。在模型2中，模糊2型占87.63%，而模糊1型占77.93%。在功率精度方面，使用模糊2型的MPPT方法优于使用模糊1型的MPPT方法。关键词:全桥变换器，模糊2型，MATLAB/Simulink，最大功率点跟踪，光伏
{"title":"MPPT Full Bridge Converter using Fuzzy Type-2","authors":"Annas Budi Prastyawan, M. Z. Efendi, F. Murdianto","doi":"10.12962/jaree.v5i2.197","DOIUrl":"https://doi.org/10.12962/jaree.v5i2.197","url":null,"abstract":"Renewable energy application using Photovoltaic (PV) is developed as a conversion from solar energy into electrical energy. PV produces output power according to irradiation and temperature conditions. PV has a Maximum Power Point or MPP based on P-V characteristic curve. In certain conditions, PV has an unstable output power then the accuracy of the power generated is not maximum. MPPT method with conventional control is not optimal to resolves power inaccuracies in the system. When the system has a circuit problem, the conventional power converter will be damage. To achieve accuracy and maximize PV output, the Maximum Power Point method will find MPP. Using MPPT Fuzzy Type-2 method on the converter can reliably overcome the inaccuracies and tracking speed of PV power. Full Bridge Converter topology is used as a safety circuit with a high-frequency isolation transformer. Implemented on MATLAB/Simulink software, Simulation results in Model 1 show that the average power accuracy with Fuzzy Type-2 is 91.40% compared to Fuzzy Type-1 with an average power accuracy of 80.64%. In Model 2, Fuzzy Type-2 is 87.63% compared to Fuzzy Type-1 of 77.93%. MPPT method using fuzzy type-2 is better than using fuzzy type-1 in terms of power accuracy.Keywords: full bridge converter, fuzzy type-2, MATLAB/Simulink, maximum power point tracking, photovoltaic.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77724608","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}
Currently, many image analysis methods have been developed on X-Ray of scoliotic patients. However, segmentation of spinal curvature is still a challenge, and needs to be improved. In this research, we proposed a semi-automatic spinal image segmentation of scoliotic patients from X-Ray images. This method is divided into 2 steps: preprocessing and segmentation process. A conversion process from RGB to grayscale and CLAHE (Contrast Limited Adequate Histogram Equalization) method was used in image preprocessing. The active contour method was used for the segmentation process. The result shows that segmentation of spinal X-ray images of scoliotic patients using active contour method interactively, can give better results. The average of ME and RAE values are 12.98% and 26.75 %. instead of using the interactive region splitting method which gets 21.17% and 89.27%. Keywords: active contour, interactive segmentation, pre-processing, scoliosis.
{"title":"Semi-Automatic Image Segmentation on X-ray Image of Spine using Active Contour Method","authors":"T. A. Sardjono, Ahmad Fauzi Habiba Chozin, M. Nuh","doi":"10.12962/jaree.v5i2.166","DOIUrl":"https://doi.org/10.12962/jaree.v5i2.166","url":null,"abstract":"Currently, many image analysis methods have been developed on X-Ray of scoliotic patients. However, segmentation of spinal curvature is still a challenge, and needs to be improved. In this research, we proposed a semi-automatic spinal image segmentation of scoliotic patients from X-Ray images. This method is divided into 2 steps: preprocessing and segmentation process. A conversion process from RGB to grayscale and CLAHE (Contrast Limited Adequate Histogram Equalization) method was used in image preprocessing. The active contour method was used for the segmentation process. The result shows that segmentation of spinal X-ray images of scoliotic patients using active contour method interactively, can give better results. The average of ME and RAE values are 12.98% and 26.75 %. instead of using the interactive region splitting method which gets 21.17% and 89.27%. Keywords: active contour, interactive segmentation, pre-processing, scoliosis. ","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"268 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86727120","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}
Lung cancer is the most common cause of cancer death globally. Early detection of lung cancer will greatly beneficial to save the patient. This study focused on the detection of lung cancer using classification with the Support Vector Machine (SVM) method based on the features of Gray Level Co-occurrence Matrices (GLCM) and Run Length Matrix (RLM). The lung data used were obtained from the Cancer imaging archive Database, consisting of 500 CT images. CT images were grouped into 2 clusters, including normal and lung cancer. The research steps include: image processing, region of interest segmentation, and feature extraction. The results indicate that the system can detect the CT-image of SVM classification where the default parameter only provides an accuracy of 85.63%. It is expected that the results will be useful to help medical personnel and researchers to detect the status of lung cancer. These results provide information that detection of lung nodules based on GLCM and RLM features that can be detected is better. Furthermore, selecting parameters C and γ on SVM. Keywords: cancer, nodule, support vector machine (SVM).
{"title":"Lung Nodule Detection of CT and Image-Based GLCM and RLM CT Scan Using the Support Vector Machine (SVM) Method","authors":"Zaimah Permatasari, M. Purnomo, I. K. E. Purnama","doi":"10.12962/jaree.v5i2.125","DOIUrl":"https://doi.org/10.12962/jaree.v5i2.125","url":null,"abstract":"Lung cancer is the most common cause of cancer death globally. Early detection of lung cancer will greatly beneficial to save the patient. This study focused on the detection of lung cancer using classification with the Support Vector Machine (SVM) method based on the features of Gray Level Co-occurrence Matrices (GLCM) and Run Length Matrix (RLM). The lung data used were obtained from the Cancer imaging archive Database, consisting of 500 CT images. CT images were grouped into 2 clusters, including normal and lung cancer. The research steps include: image processing, region of interest segmentation, and feature extraction. The results indicate that the system can detect the CT-image of SVM classification where the default parameter only provides an accuracy of 85.63%. It is expected that the results will be useful to help medical personnel and researchers to detect the status of lung cancer. These results provide information that detection of lung nodules based on GLCM and RLM features that can be detected is better. Furthermore, selecting parameters C and γ on SVM. Keywords: cancer, nodule, support vector machine (SVM).","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86755456","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}
Mohammad Fajar Setyawan, M. Z. Efendi, F. Murdianto
In a battery set, there is always a voltage difference caused by charging and discharging. Therefore, it is necessary to pay attention to the condition of the battery or State of Charge (SOC) so that it is in a balanced state between the batteries. Unbalanced battery conditions result in decreased performance of the battery. For that we need a balancing circuit that works actively with the help of a DC-DC converter. DC-DC converters generally have a principle like a buck-boost converter to increase and decrease the output voltage, however the output still has a fairly large ripple in the waveform. Therefore, the CUK converter is used which is a development of the buck-boost converter topology, where the output of this CUK converter has smaller ripples because it uses two capacitors and two inductors. Of the various methods used to adjust the duty cycle of the CUK converter, a precise and accurate algorithm is needed to overcome the instability of the converter output. The method used to adjust the duty cycle uses the Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm as the development of the Fuzzy method. The system is implemented using MATLAB Simulink software. The simulation results show that the output of the CUK converter with the ANFIS method has a faster response speed reaching a set point of 1.95 × 10-4 seconds and the accuracy of the output voltage with ANFIS is 99.94% while the accuracy of the output converter current using ANFIS is 65.7%.Keywords: ANFIS, balancing, battery, CUK converter, state of charge (SOC).15
{"title":"Balancing Charging System Using Adaptive Neuro-Fuzzy Inference System Based On CUK Converter","authors":"Mohammad Fajar Setyawan, M. Z. Efendi, F. Murdianto","doi":"10.12962/jaree.v5i2.199","DOIUrl":"https://doi.org/10.12962/jaree.v5i2.199","url":null,"abstract":"In a battery set, there is always a voltage difference caused by charging and discharging. Therefore, it is necessary to pay attention to the condition of the battery or State of Charge (SOC) so that it is in a balanced state between the batteries. Unbalanced battery conditions result in decreased performance of the battery. For that we need a balancing circuit that works actively with the help of a DC-DC converter. DC-DC converters generally have a principle like a buck-boost converter to increase and decrease the output voltage, however the output still has a fairly large ripple in the waveform. Therefore, the CUK converter is used which is a development of the buck-boost converter topology, where the output of this CUK converter has smaller ripples because it uses two capacitors and two inductors. Of the various methods used to adjust the duty cycle of the CUK converter, a precise and accurate algorithm is needed to overcome the instability of the converter output. The method used to adjust the duty cycle uses the Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm as the development of the Fuzzy method. The system is implemented using MATLAB Simulink software. The simulation results show that the output of the CUK converter with the ANFIS method has a faster response speed reaching a set point of 1.95 × 10-4 seconds and the accuracy of the output voltage with ANFIS is 99.94% while the accuracy of the output converter current using ANFIS is 65.7%.Keywords: ANFIS, balancing, battery, CUK converter, state of charge (SOC).15","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80653723","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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