Pub Date : 2020-09-01DOI: 10.1109/IES50839.2020.9231869
Syahrul Arifiiddin Kholid, Ferry Astika Saputra, A. Barakbah
Quick response service and emergency reports handling is one of the main aspects in the data-driven government system, oriented to people service in the city of Surabaya through an emergency center called as Command Center 112. Our idea is to implement descriptive and predictive analytics to be able to provide a detailed picture of the intensity of the number of reports of each category and sub-district in the city of Surabaya as well as make predictions to find out future public report projections by analyzing spatial and temporal data. For descriptive analysis, we apply the unsupervised learning method with agglomerative hierarchical clustering combined with K-Means clustering for centroid initialization. After the data is preprocessed, such as imputation and data structure improvement, the data is then transformed into a report number format for each month and category, then segmented with the K-Means clustering hierarchical model, this model will get 3 final labels. These labels will be projected (grounding) to the level of intensity of community reports in the month and category, ranging from the low, medium and high categories. As for the prediction model, in this study we use combination of timeseries prediction methods, such as Exponential Smoothing, Moving Average and Auto Regressive Integrated Moving Average (ARIMA) by modifying the parameters according to the characteristics of movement, trends and seasonal data. We applied the model that we proposed for research purposes with a dataset of reports from the people of Surabaya to the Command Center 112 in 2019 with a total of 169,937 data.
{"title":"Data Analytics Implementation for Surabaya City Emergency Center","authors":"Syahrul Arifiiddin Kholid, Ferry Astika Saputra, A. Barakbah","doi":"10.1109/IES50839.2020.9231869","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231869","url":null,"abstract":"Quick response service and emergency reports handling is one of the main aspects in the data-driven government system, oriented to people service in the city of Surabaya through an emergency center called as Command Center 112. Our idea is to implement descriptive and predictive analytics to be able to provide a detailed picture of the intensity of the number of reports of each category and sub-district in the city of Surabaya as well as make predictions to find out future public report projections by analyzing spatial and temporal data. For descriptive analysis, we apply the unsupervised learning method with agglomerative hierarchical clustering combined with K-Means clustering for centroid initialization. After the data is preprocessed, such as imputation and data structure improvement, the data is then transformed into a report number format for each month and category, then segmented with the K-Means clustering hierarchical model, this model will get 3 final labels. These labels will be projected (grounding) to the level of intensity of community reports in the month and category, ranging from the low, medium and high categories. As for the prediction model, in this study we use combination of timeseries prediction methods, such as Exponential Smoothing, Moving Average and Auto Regressive Integrated Moving Average (ARIMA) by modifying the parameters according to the characteristics of movement, trends and seasonal data. We applied the model that we proposed for research purposes with a dataset of reports from the people of Surabaya to the Command Center 112 in 2019 with a total of 169,937 data.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114771042","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231615
Akuwan Saleh
Indonesia is a tropical country that has high rainfall. Environmental conditions greatly affect health conditions in humans such as skin health examples. Many people are still confused to identify the skin disease they are suffering from. This has a negative impact on people's lives. In this research, an application is made that is useful for introducing and informing various types of skin diseases with the Convolutional Neural Network (CNN) algorithm and implementation for information in introducing this skin disease using augmented reality (AR). This application is created using the Java programming language and is implemented on smartphones with the Android operating system.From the test results obtained, the classification results obtained when detecting skin diseases get conditions in accordance with or the same as the trained data. At a light intensity of 355 lux, the highest accuracy was obtained for measles skin disease. For the detection of skin diseases using different distances, the optimal distance to get a high accuracy value is the distance of 8 cm.
{"title":"Implementation of The Introduction of Skin Diseases Based on Augmented Reality","authors":"Akuwan Saleh","doi":"10.1109/IES50839.2020.9231615","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231615","url":null,"abstract":"Indonesia is a tropical country that has high rainfall. Environmental conditions greatly affect health conditions in humans such as skin health examples. Many people are still confused to identify the skin disease they are suffering from. This has a negative impact on people's lives. In this research, an application is made that is useful for introducing and informing various types of skin diseases with the Convolutional Neural Network (CNN) algorithm and implementation for information in introducing this skin disease using augmented reality (AR). This application is created using the Java programming language and is implemented on smartphones with the Android operating system.From the test results obtained, the classification results obtained when detecting skin diseases get conditions in accordance with or the same as the trained data. At a light intensity of 355 lux, the highest accuracy was obtained for measles skin disease. For the detection of skin diseases using different distances, the optimal distance to get a high accuracy value is the distance of 8 cm.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127580897","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231722
Ischia Kurniawati, J. Pratilastiarso, D. Satrio
The condenser is one component that has an important role in the operation of the coal-fired power plant. Changes in the conditions of cooling water have an impact on the thermal performance of the condenser in the condensation process. This study aims to determine changes in the performance of the condenser under changing cooling water conditions which also results in cycle efficiency. In this research, a power plant cycle model which is given a constant load of 350 MW is performed on the Cycle-Tempo. In this study, temperature and flow rate are two parameters that will vary in value. The results of this study indicate that the increase in cooling water temperature causes the heat transfer rate and the pressure inside the condenser to get higher. Conversely, the greater flow rate causes the heat transfer rate and condenser pressure to decrease. The highest heat transfer rate and pressure values of 330723.47 kW and 0.0117 MPa were obtained in the variation of cooling water at the highest temperature of 308 K and the lowest flow rate of 13888.9 kg/s. It affects on decreasing of the cycle efficiency. The solution to maintain efficiency is by adding more cooling water flow rate, about 15% - 21% for each 1 K temperature increasing step.
{"title":"Analysis of the Effect of Cooling Water Condenser to Power Plant Cycle Using Cycle-Tempo Software","authors":"Ischia Kurniawati, J. Pratilastiarso, D. Satrio","doi":"10.1109/IES50839.2020.9231722","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231722","url":null,"abstract":"The condenser is one component that has an important role in the operation of the coal-fired power plant. Changes in the conditions of cooling water have an impact on the thermal performance of the condenser in the condensation process. This study aims to determine changes in the performance of the condenser under changing cooling water conditions which also results in cycle efficiency. In this research, a power plant cycle model which is given a constant load of 350 MW is performed on the Cycle-Tempo. In this study, temperature and flow rate are two parameters that will vary in value. The results of this study indicate that the increase in cooling water temperature causes the heat transfer rate and the pressure inside the condenser to get higher. Conversely, the greater flow rate causes the heat transfer rate and condenser pressure to decrease. The highest heat transfer rate and pressure values of 330723.47 kW and 0.0117 MPa were obtained in the variation of cooling water at the highest temperature of 308 K and the lowest flow rate of 13888.9 kg/s. It affects on decreasing of the cycle efficiency. The solution to maintain efficiency is by adding more cooling water flow rate, about 15% - 21% for each 1 K temperature increasing step.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126147128","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231868
Ani Rosyidah, I. Astawa, Anang Budiknrso
Digital Video Broadcasting-Terrestrial Second Generation (DVB-T2) is a digital television broadcasting system that is being implemented in the world. This system can send large amounts of data at high point-to-multipoint speed. Multiple Input Multiple Output (MIMO) is a transmission technique that is implemented in many new technologies nowadays. This technique can increase the data rate without increasing the bandwidth. In this study, a DVB-T2 system simulation was made by applying 2x2 MIMO-OFDM technology. For better system performance, it is necessary to use a detector to minimize the noise in the data transmission process. In this study, simulations and analyzation were performed to determine the performance of MIMO detectors on a DVB-T2 system. The analysis was done by comparing the BER curve to the generated SNR value by each detector system. The simulation results show that the Vertical Bell Labs Layered Space-Time/Minimum Mean Square Error (V-BLAST/MMSE) detection technique is the best technique in improving system performance, followed by V-BLAST/ZF, Minimum Mean Square Error (MMSE), and Zero Forcing (ZF) detectors.
{"title":"Performance Analysis of MIMO Detection Techniques in DVB-T2 Systems","authors":"Ani Rosyidah, I. Astawa, Anang Budiknrso","doi":"10.1109/IES50839.2020.9231868","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231868","url":null,"abstract":"Digital Video Broadcasting-Terrestrial Second Generation (DVB-T2) is a digital television broadcasting system that is being implemented in the world. This system can send large amounts of data at high point-to-multipoint speed. Multiple Input Multiple Output (MIMO) is a transmission technique that is implemented in many new technologies nowadays. This technique can increase the data rate without increasing the bandwidth. In this study, a DVB-T2 system simulation was made by applying 2x2 MIMO-OFDM technology. For better system performance, it is necessary to use a detector to minimize the noise in the data transmission process. In this study, simulations and analyzation were performed to determine the performance of MIMO detectors on a DVB-T2 system. The analysis was done by comparing the BER curve to the generated SNR value by each detector system. The simulation results show that the Vertical Bell Labs Layered Space-Time/Minimum Mean Square Error (V-BLAST/MMSE) detection technique is the best technique in improving system performance, followed by V-BLAST/ZF, Minimum Mean Square Error (MMSE), and Zero Forcing (ZF) detectors.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126851554","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231780
Mufid Murtadho, Eka Prasetyono, D. O. Anggriawan
Photovoltaic is one of the alternative electric producers that is widely used considering the availability of the main source of photovoltaic. The photovoltaic as an electrical energy source, it also to pay more attention to the risks that can cause the failure with the worst is an event of a fire. The fault causes the failure is parallel DC arc fault. However, Parallel DC Arc Fault cannot be detected by the conventional safety device such as Circuit Breaker. Therefore, the proposed algorithm fast Fourier transform is designed to detect and identify the event of the parallel arc fault. To identify the parallel arc fault and its characteristic, simulation using PSIM is used to get the current waveform of the parallel arc fault. To see the characteristic of the arc fault current, the initial current flow through the arc generator is needed. The order condition in the simulation is Short Circuit, Arc Fault, and then the Normal condition. The sum of the frequency spectrum is used as the method of comparing normal condition and fault condition with the result is the sum of the frequency spectrum during arc fault condition has a bigger value than normal condition. Moreover, the simulation result shows that the proposed algorithm has the accurate result for parallel arc fault detection.
{"title":"Detection of Parallel Arc Fault on Photovoltaic System Based on Fast Fourier Transform","authors":"Mufid Murtadho, Eka Prasetyono, D. O. Anggriawan","doi":"10.1109/IES50839.2020.9231780","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231780","url":null,"abstract":"Photovoltaic is one of the alternative electric producers that is widely used considering the availability of the main source of photovoltaic. The photovoltaic as an electrical energy source, it also to pay more attention to the risks that can cause the failure with the worst is an event of a fire. The fault causes the failure is parallel DC arc fault. However, Parallel DC Arc Fault cannot be detected by the conventional safety device such as Circuit Breaker. Therefore, the proposed algorithm fast Fourier transform is designed to detect and identify the event of the parallel arc fault. To identify the parallel arc fault and its characteristic, simulation using PSIM is used to get the current waveform of the parallel arc fault. To see the characteristic of the arc fault current, the initial current flow through the arc generator is needed. The order condition in the simulation is Short Circuit, Arc Fault, and then the Normal condition. The sum of the frequency spectrum is used as the method of comparing normal condition and fault condition with the result is the sum of the frequency spectrum during arc fault condition has a bigger value than normal condition. Moreover, the simulation result shows that the proposed algorithm has the accurate result for parallel arc fault detection.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125750225","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231928
Fachrul Rozie, I. Syarif, M. A. Al Rasyid
Aquaponics is a merging of agriculture and aquaculture culture systems that may provide a solution to overcome land and water limitations and food security. Water quality in fishponds is a determining factor in aquaculture and is still much needed to be studied extensively. However, evaluating the quality of ponds proves to be a challenging task, mainly due to a lack of data and the constant maintenance involved in handling and controlling water quality. This study aims to develop water quality management systems for catfish ponds by utilizing aquaponics technology and IoT technology, combined with water quality control systems with artificial intelligence fuzzy logic to control temperature and ammonia levels, which are important variables in maintaining water quality. This study additionally makes it easy for farmers to monitor pH parameters, Turbidity, Total Dissolved Solid (TDS), Dissolved Oxygen and Water Level, and receive information related to the pond anytime and anywhere. If the pond water quality is not at an optimal state, farmers can directly intervene and carry out the needed measures as soon as possible. Experiments on monitoring, warning, and control systems were successfully employed.
{"title":"Design and implementation of Intelligent Aquaponics Monitoring System based on IoT","authors":"Fachrul Rozie, I. Syarif, M. A. Al Rasyid","doi":"10.1109/IES50839.2020.9231928","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231928","url":null,"abstract":"Aquaponics is a merging of agriculture and aquaculture culture systems that may provide a solution to overcome land and water limitations and food security. Water quality in fishponds is a determining factor in aquaculture and is still much needed to be studied extensively. However, evaluating the quality of ponds proves to be a challenging task, mainly due to a lack of data and the constant maintenance involved in handling and controlling water quality. This study aims to develop water quality management systems for catfish ponds by utilizing aquaponics technology and IoT technology, combined with water quality control systems with artificial intelligence fuzzy logic to control temperature and ammonia levels, which are important variables in maintaining water quality. This study additionally makes it easy for farmers to monitor pH parameters, Turbidity, Total Dissolved Solid (TDS), Dissolved Oxygen and Water Level, and receive information related to the pond anytime and anywhere. If the pond water quality is not at an optimal state, farmers can directly intervene and carry out the needed measures as soon as possible. Experiments on monitoring, warning, and control systems were successfully employed.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126223985","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 : 2020-09-01DOI: 10.1109/ies50839.2020.9231522
On behalf of the 22nd International Electronics Symposium (IES) 2020, I would like to welcome you all to this prestigious and high-quality conference. IES is one of the primary IEEE forums in Indonesia for publication and technical exchange of the latest research and innovation and brings together academia and industry to share and evaluate the technology related to Electronic and Computer. In this opportunity, I would like to express my sincere gratitude to our honourable Keynote Speakers, Director of Politeknik Elektronika Negeri Surabaya, IEEE Indonesia Section representative, Advisory Committee, Technical Program Committee, Steering Committee, and Organizing Committee for their support and efforts so that this event can be successfully conducted. This year, IES 2020 is conducted in Surabaya, Indonesia, from September 29-30, 2020, by a virtual conference since Indonesia and all over the world are suffering from the pandemic situation by Covid-19. This situation greatly impacts to our conference and forcing us to obey the IEEE Indonesia Section to conduct the event virtually. As the same as before, IES 2020 also conducts two sub-conferences, namely International Electronics Symposium on Engineering Technology and Applications (IES-ETA) and International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC).
{"title":"Welcome Message from General Chair of IES 2020","authors":"","doi":"10.1109/ies50839.2020.9231522","DOIUrl":"https://doi.org/10.1109/ies50839.2020.9231522","url":null,"abstract":"On behalf of the 22nd International Electronics Symposium (IES) 2020, I would like to welcome you all to this prestigious and high-quality conference. IES is one of the primary IEEE forums in Indonesia for publication and technical exchange of the latest research and innovation and brings together academia and industry to share and evaluate the technology related to Electronic and Computer. In this opportunity, I would like to express my sincere gratitude to our honourable Keynote Speakers, Director of Politeknik Elektronika Negeri Surabaya, IEEE Indonesia Section representative, Advisory Committee, Technical Program Committee, Steering Committee, and Organizing Committee for their support and efforts so that this event can be successfully conducted. This year, IES 2020 is conducted in Surabaya, Indonesia, from September 29-30, 2020, by a virtual conference since Indonesia and all over the world are suffering from the pandemic situation by Covid-19. This situation greatly impacts to our conference and forcing us to obey the IEEE Indonesia Section to conduct the event virtually. As the same as before, IES 2020 also conducts two sub-conferences, namely International Electronics Symposium on Engineering Technology and Applications (IES-ETA) and International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC).","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125722511","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231570
Aliv Faizal Muhammad, D. Susanto, Akhmad Alimudin, Zulfikar Ali Rochman, Moh. Hasbi Assidiqi, Salim Nabhan
In the progress of science and technology today, the need to master English becomes very important. English which is an international language has become a part of all aspects of people's lives. So that at an early age, learning has been applied to English. In learning English, there are competencies namely writing, listening, and reading. Currently how to learn reading is often implemented only by saying words or sentences from textbooks. This will cause students to be focused on the material provided and tend to decrease conversation practice with someone directly. In addition, English learning time generally has a smaller portion and costly. Therefore, it needs to be developed a learning medium that is able to provide a way of learning English that simulates conversation directly. It can be accessed anywhere and anytime and minimize the cost of expenditure. Website-based learning can be an alternative. Web-based English learning applications with speech recognition technology was integrated with aritificial intelligence to train students to become active speakers rather than silent readers.
{"title":"Development of English Conversation Practice App with Artificial Intelligence & Speech Recognition","authors":"Aliv Faizal Muhammad, D. Susanto, Akhmad Alimudin, Zulfikar Ali Rochman, Moh. Hasbi Assidiqi, Salim Nabhan","doi":"10.1109/IES50839.2020.9231570","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231570","url":null,"abstract":"In the progress of science and technology today, the need to master English becomes very important. English which is an international language has become a part of all aspects of people's lives. So that at an early age, learning has been applied to English. In learning English, there are competencies namely writing, listening, and reading. Currently how to learn reading is often implemented only by saying words or sentences from textbooks. This will cause students to be focused on the material provided and tend to decrease conversation practice with someone directly. In addition, English learning time generally has a smaller portion and costly. Therefore, it needs to be developed a learning medium that is able to provide a way of learning English that simulates conversation directly. It can be accessed anywhere and anytime and minimize the cost of expenditure. Website-based learning can be an alternative. Web-based English learning applications with speech recognition technology was integrated with aritificial intelligence to train students to become active speakers rather than silent readers.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132781252","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231873
Happy Yaumil Fitri Rozaana, I. Gede Puja Astawa, Arifin
MIMO technology is needed in the world of wireless communication (wireless) which acts as a pair of antennas on the transmitter and receiver sides that work on multipath components. The MIMO system design is able to maximize data rates to support data flow and improve overall system reliability. So, it is concluded that this technology has access to data communication that is reliable, fast, and efficient in bandwidth usage. However, the disadvantage of MIMO is that any use of an antenna on the receiver side requires a RF front-end that is as large as the number of antennas. So, for a large size antenna, it is not effective. Therefore, RF front-end on the receiver side requires a single RF technique with the number of antennas as needed that aims to minimize the number of RF front-end. In this research, a simulation is carried out to analyze the performance of the single RF technique at the receiver side of the MIMO system using V-BLAST detection technique. V-BLAST is a channel coding technique that is used to minimize errors during large and fast data transmission processes. So, this technique aims to reduce the quantity of the Bit Error Rate (BER). The antenna to be used has a 2x2 dimension based on a single RF. The modulation that will be used is 64- QAM by using a 1/3 rate convolution encoder code. The results obtained by this research are improving performance and minimizing RF front-end by using the V-BLAST technique in the MIMO system where the observed parameters are the comparison of Bit Error Rate (BER) to Signal to Noise Ratio (SNR) which will be shown in the BER towards SNR curve.
{"title":"MIMO V-BLAST Detection Performances on Single RF Using Convolutional Code with Rate of 1/3","authors":"Happy Yaumil Fitri Rozaana, I. Gede Puja Astawa, Arifin","doi":"10.1109/IES50839.2020.9231873","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231873","url":null,"abstract":"MIMO technology is needed in the world of wireless communication (wireless) which acts as a pair of antennas on the transmitter and receiver sides that work on multipath components. The MIMO system design is able to maximize data rates to support data flow and improve overall system reliability. So, it is concluded that this technology has access to data communication that is reliable, fast, and efficient in bandwidth usage. However, the disadvantage of MIMO is that any use of an antenna on the receiver side requires a RF front-end that is as large as the number of antennas. So, for a large size antenna, it is not effective. Therefore, RF front-end on the receiver side requires a single RF technique with the number of antennas as needed that aims to minimize the number of RF front-end. In this research, a simulation is carried out to analyze the performance of the single RF technique at the receiver side of the MIMO system using V-BLAST detection technique. V-BLAST is a channel coding technique that is used to minimize errors during large and fast data transmission processes. So, this technique aims to reduce the quantity of the Bit Error Rate (BER). The antenna to be used has a 2x2 dimension based on a single RF. The modulation that will be used is 64- QAM by using a 1/3 rate convolution encoder code. The results obtained by this research are improving performance and minimizing RF front-end by using the V-BLAST technique in the MIMO system where the observed parameters are the comparison of Bit Error Rate (BER) to Signal to Noise Ratio (SNR) which will be shown in the BER towards SNR curve.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130272681","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 : 2020-09-01DOI: 10.1109/IES50839.2020.9231935
Rika Rokhana, Wiwiet Herulambang, R. Indraswari
The agricultural sector really needs an application that able to estimate the effect of fertilization on plant growth patterns. The paper proposed the three dimensional (3D) simulation plant growth’s model of Glycine Max (L) Merrill/soybean plant using machine learning Multi-Layered Perceptron (MLP) method combine with Polynomial-Lindenmayer (Poly-L) system. The modeling parameters are the trunk/branches growth (L), the leaves width (W), and the number of branching (B) as the function of changes Nitrogen (N), Phosphate (P), and Potassium (K) elements in the fertilization process. The L, W, and B are modeled as the function of N, P, and K input using MLP method. Then, L, W, and B output are used as a variable to visualize plant growth into a 3D plant’s structure using the Poly-L System interpretation. The polynomial equation is used as a weighted factor according to the iteration of the L-System routine. The experimental results show that the MLP method is quite adaptable to the various changes of N, P, and K values and able to estimate the L, W, and B output. The average error of the trunk's growth prediction is 3.63%, the average error of leaf's width prediction is 3.72%, and the average error on the prediction of the branching's growth is 4.27%. The final result proved that the change of N, P, and K composition influenced the Poly-L System frames. Overall, the system has been running as expected.
{"title":"Machine Learning and Polynomial – L System Algorithm for Modeling and Simulation of Glycine Max (L) Merrill Growth","authors":"Rika Rokhana, Wiwiet Herulambang, R. Indraswari","doi":"10.1109/IES50839.2020.9231935","DOIUrl":"https://doi.org/10.1109/IES50839.2020.9231935","url":null,"abstract":"The agricultural sector really needs an application that able to estimate the effect of fertilization on plant growth patterns. The paper proposed the three dimensional (3D) simulation plant growth’s model of Glycine Max (L) Merrill/soybean plant using machine learning Multi-Layered Perceptron (MLP) method combine with Polynomial-Lindenmayer (Poly-L) system. The modeling parameters are the trunk/branches growth (L), the leaves width (W), and the number of branching (B) as the function of changes Nitrogen (N), Phosphate (P), and Potassium (K) elements in the fertilization process. The L, W, and B are modeled as the function of N, P, and K input using MLP method. Then, L, W, and B output are used as a variable to visualize plant growth into a 3D plant’s structure using the Poly-L System interpretation. The polynomial equation is used as a weighted factor according to the iteration of the L-System routine. The experimental results show that the MLP method is quite adaptable to the various changes of N, P, and K values and able to estimate the L, W, and B output. The average error of the trunk's growth prediction is 3.63%, the average error of leaf's width prediction is 3.72%, and the average error on the prediction of the branching's growth is 4.27%. The final result proved that the change of N, P, and K composition influenced the Poly-L System frames. Overall, the system has been running as expected.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130307609","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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