Pub Date : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257128
B. A. Makalew, B. Pardamean
This research is an experiment on the implementation of Team Based Learning (TBL) in computer science students. 64 participants from Mobile Game Creative Design class was selected, and 3 variables are measured: motivation, engagement, academic achievement. The finding shows that although motivation and engagement are not affected, academic achievement shows a significant improvement with a p-value of 0.0000271. This research serves as one of the basis to be considered when a university intends to implement TBL into its learning process.
{"title":"Team based learning in computer science students","authors":"B. A. Makalew, B. Pardamean","doi":"10.1109/ICSITECH.2017.8257128","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257128","url":null,"abstract":"This research is an experiment on the implementation of Team Based Learning (TBL) in computer science students. 64 participants from Mobile Game Creative Design class was selected, and 3 variables are measured: motivation, engagement, academic achievement. The finding shows that although motivation and engagement are not affected, academic achievement shows a significant improvement with a p-value of 0.0000271. This research serves as one of the basis to be considered when a university intends to implement TBL into its learning process.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"96 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127992019","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 : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257134
H. J. Setyadi, P. P. Widagdo, T. D. Susanto
Along with the rapid development of Information and Communication Technology (ICT) that provides much benefits for human life, there is also another side in it. One of the negative impacts of ICT is the stress caused by the inability to adapt to the technological environment, where the behavior can affect the mental and behavior that impact on user satisfaction and decreased performance. Technostress can generally be defined as the mental stress that employees experience because of the use of Information and Communications Technologies in the workplace. Factors of age and gender in previous studies revealed that old age tends to avoid technostress, and the male gender have high technostress level because they always want to find new things and try a new technology. Previous studies that have not yet seen the effect of differences age perceptions between cognitive age (young spirits) and chronological age (actual age) to technostress into a separate research that will be conducted by researchers. The results of this study prove empirically that the more a person has a cognitive age (young spirited) can reduce the influence of people experiencing technostress. Technostress was also proven to affect satisfaction, performance. The main factors trigger technostress from the results of this research is techno overload, techno uncertainty and techno insecurity. The results of research implications also show that technostress has a relationship to the user's intention to continue the use of technology.
{"title":"Cognitive age and chronological age of the technostress that effect on satisfaction, performance, and intention of continue the use of information technology in the university","authors":"H. J. Setyadi, P. P. Widagdo, T. D. Susanto","doi":"10.1109/ICSITECH.2017.8257134","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257134","url":null,"abstract":"Along with the rapid development of Information and Communication Technology (ICT) that provides much benefits for human life, there is also another side in it. One of the negative impacts of ICT is the stress caused by the inability to adapt to the technological environment, where the behavior can affect the mental and behavior that impact on user satisfaction and decreased performance. Technostress can generally be defined as the mental stress that employees experience because of the use of Information and Communications Technologies in the workplace. Factors of age and gender in previous studies revealed that old age tends to avoid technostress, and the male gender have high technostress level because they always want to find new things and try a new technology. Previous studies that have not yet seen the effect of differences age perceptions between cognitive age (young spirits) and chronological age (actual age) to technostress into a separate research that will be conducted by researchers. The results of this study prove empirically that the more a person has a cognitive age (young spirited) can reduce the influence of people experiencing technostress. Technostress was also proven to affect satisfaction, performance. The main factors trigger technostress from the results of this research is techno overload, techno uncertainty and techno insecurity. The results of research implications also show that technostress has a relationship to the user's intention to continue the use of technology.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131590189","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 : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257171
Febriyandika Tarang Boro, I. Riyanto, K. Adiyarta
One of the parameters that determine the quality of the coffee beverage is by grinding the coffee beans correctly. In addition to proper grinding process, water temperature settings also become an important part. Grinding and brewing process must be done in a short time so that the taste of the coffee bean is not lost and the quality is maintained. A control system based on PID (Proportional Integral Derivative) is used to maintain proper water temperature. The components used is LM35 temperature sensor, Solenoid Valve, AC dimmer, and DC Motor that is connected to a Nuvoton NUC140 module that serves as the main controller of the system. Temperature control is done by adjusting the voltage of the AC dimmer circuit to heat the element with the PWM changes removed from the microcontroller. The PID parameter is determined using the Ziegler-Nichols method. The test results with Kp = 13, Ki = 116, and Kd = 29 systems have a response with a constant time of 613 seconds and the air temperature can be stable at 90 ° C with a steady state error of 1.1%. Overall, the system can process 8 grams of coffee beans for 5 minutes started from grinding the coffee beans to brewing.
{"title":"Automatic coffee grinding and brewing process with NUC140 microcontroller","authors":"Febriyandika Tarang Boro, I. Riyanto, K. Adiyarta","doi":"10.1109/ICSITECH.2017.8257171","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257171","url":null,"abstract":"One of the parameters that determine the quality of the coffee beverage is by grinding the coffee beans correctly. In addition to proper grinding process, water temperature settings also become an important part. Grinding and brewing process must be done in a short time so that the taste of the coffee bean is not lost and the quality is maintained. A control system based on PID (Proportional Integral Derivative) is used to maintain proper water temperature. The components used is LM35 temperature sensor, Solenoid Valve, AC dimmer, and DC Motor that is connected to a Nuvoton NUC140 module that serves as the main controller of the system. Temperature control is done by adjusting the voltage of the AC dimmer circuit to heat the element with the PWM changes removed from the microcontroller. The PID parameter is determined using the Ziegler-Nichols method. The test results with Kp = 13, Ki = 116, and Kd = 29 systems have a response with a constant time of 613 seconds and the air temperature can be stable at 90 ° C with a steady state error of 1.1%. Overall, the system can process 8 grams of coffee beans for 5 minutes started from grinding the coffee beans to brewing.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129981791","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 : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257100
I. S. Hardaya, Arian Dhini, I. Surjandari
Enabled by the increased connectivity and ease of access to online services, an increasing number of countries are moving towards participatory decision making. In Jakarta, the Government deploys an e-participation tool to directly involve community associations and citizens in the development planning of the province. The increasing number of participation and the need of immediate response encourage the use of text mining to classify the complaints and proposals automatically. A classification model was built using Support Vector Machine (SVM) algorithm. This study was the first part of research on community complaint and proposals before text clustering and visualization. The result of model development for classifying documents showed that classification model with stemming and synonym recognition was the most accurate among others with 91.37% accuracy rate. Adding the number of training data would improve the accuracy. Based on classification result, the problem of flood and transportation became the most reported problems during January and February 2016. This result indicated that these problems need to be prioritized by the Government of Jakarta.
{"title":"Application of text mining for classification of community complaints and proposals","authors":"I. S. Hardaya, Arian Dhini, I. Surjandari","doi":"10.1109/ICSITECH.2017.8257100","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257100","url":null,"abstract":"Enabled by the increased connectivity and ease of access to online services, an increasing number of countries are moving towards participatory decision making. In Jakarta, the Government deploys an e-participation tool to directly involve community associations and citizens in the development planning of the province. The increasing number of participation and the need of immediate response encourage the use of text mining to classify the complaints and proposals automatically. A classification model was built using Support Vector Machine (SVM) algorithm. This study was the first part of research on community complaint and proposals before text clustering and visualization. The result of model development for classifying documents showed that classification model with stemming and synonym recognition was the most accurate among others with 91.37% accuracy rate. Adding the number of training data would improve the accuracy. Based on classification result, the problem of flood and transportation became the most reported problems during January and February 2016. This result indicated that these problems need to be prioritized by the Government of Jakarta.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133611799","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 : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257113
D. I. Sensuse, P. Prima, Elin Cahyaningsih, Handrie Noprisson
Electronic government or e-government is an information and communication technology application that aims to provide more open interaction between governments, citizens, businesses, and other non-profit organizations. In those communication processes, there are knowledge transfer or exchange processes that must be covered and managed to accomplish the goal of e-government application. Furthermore, knowledge, rapidly evolving, is increasingly recognized as a powerful strategic resource for efficiency by all types of organizations and institutions either public or private. As the proposed solution, those processes can be covered by Knowledge Management (KM) approach. This paper aims to deliver insight into key drivers, benefits, challenges, KM system types and critical success factors for KM implementation in e-government. A total of fourteen research papers have been reviewed by using systematic literature review method named Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). As the result, there are six drivers, six benefits five types of KM system, six challenges, and nine critical success factors for KM implementation in e-Government.
{"title":"Knowledge management practices in e-Government","authors":"D. I. Sensuse, P. Prima, Elin Cahyaningsih, Handrie Noprisson","doi":"10.1109/ICSITECH.2017.8257113","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257113","url":null,"abstract":"Electronic government or e-government is an information and communication technology application that aims to provide more open interaction between governments, citizens, businesses, and other non-profit organizations. In those communication processes, there are knowledge transfer or exchange processes that must be covered and managed to accomplish the goal of e-government application. Furthermore, knowledge, rapidly evolving, is increasingly recognized as a powerful strategic resource for efficiency by all types of organizations and institutions either public or private. As the proposed solution, those processes can be covered by Knowledge Management (KM) approach. This paper aims to deliver insight into key drivers, benefits, challenges, KM system types and critical success factors for KM implementation in e-government. A total of fourteen research papers have been reviewed by using systematic literature review method named Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). As the result, there are six drivers, six benefits five types of KM system, six challenges, and nine critical success factors for KM implementation in e-Government.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125202393","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 : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257145
F. D. Ariyanti, S. Hadita
Food-safety should be considered as a priority by food buyer who buys online. This study to analyze the relation of food safety knowledge and behavior practices on the young adult who buys food online. The study participants were 104 undergraduate college students whom digital technologies users and experienced with e-commerce and social media. Respondents were clustered into four clusters: No Food safety knowledge, low, medium and high. Methodologies used were cluster analysis with average linkage and Ward's method. The first result shows female respondents have food safety knowledge higher than male. Second, majority respondents have low to medium food safety knowledge. Third, with low to medium food safety knowledge and triggering factor saving time, majority respondent buy food through direct food producers websites. Fourth, the decision-making factor to buy food online are equal between attractive advertisement and repeat order. Finally, indicated the study population overall has poor knowledge of food safety this implicate threat food borne. As a result, awareness and food safety educational initiatives campaigns should be developed to better inform young adults about safe food practices and habits in buying food online.
{"title":"Food safety knowledge and practices on food virtual shop","authors":"F. D. Ariyanti, S. Hadita","doi":"10.1109/ICSITECH.2017.8257145","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257145","url":null,"abstract":"Food-safety should be considered as a priority by food buyer who buys online. This study to analyze the relation of food safety knowledge and behavior practices on the young adult who buys food online. The study participants were 104 undergraduate college students whom digital technologies users and experienced with e-commerce and social media. Respondents were clustered into four clusters: No Food safety knowledge, low, medium and high. Methodologies used were cluster analysis with average linkage and Ward's method. The first result shows female respondents have food safety knowledge higher than male. Second, majority respondents have low to medium food safety knowledge. Third, with low to medium food safety knowledge and triggering factor saving time, majority respondent buy food through direct food producers websites. Fourth, the decision-making factor to buy food online are equal between attractive advertisement and repeat order. Finally, indicated the study population overall has poor knowledge of food safety this implicate threat food borne. As a result, awareness and food safety educational initiatives campaigns should be developed to better inform young adults about safe food practices and habits in buying food online.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121051278","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 : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257203
R. R. J. Putra, B. L. Putro
Computer Science Education courses concentrate on the scientific education of computer science, while the Computer Science Program concentrates on computer science. Both of these study programs have a close relationship to complement and improve each other in the domain of science and education in the field of computer science (cross-fertilization principle). Knowledge management nowadays is still in concept level that hard to implement and still requires exploration and improvement to develop. Failure level in implementation of Knowledge Management System (KMS) high enough that should be measured with KMS Readiness Levels. This research uses analytical hierarchy process (AHP) weighting method and Aydin/Tasci scales to find out the research objective which is priority weighting from each of concepts that has been studied and to find out readiness category based on Aydin/Tasci Scale. The initial phase is to design a scale of measurement using AHP method with normalization weight and priority values as final results the next phase is to analyze the processing values using Aydin/Tasci Scale to see readiness scale of knowledge management system in computer science program. As measured from the readiness level of KMS are knowledge manager, technology and culture. Based on that, AHP weight values for each concept which chosen for this KMS readiness research in Computer Science Program. The highest score is 3.176 from culture dimension. Average value KMS readiness in Computer Science Program is 2,863 which means Computer Science Program is not ready yet for KMS implementation.
{"title":"Knowledge Management System (KMS) readiness level based on group areas of expertise to improve science education and computer science quality (cross-fertilization principle) (Case study: Computer science program course FPMIPA UPI)","authors":"R. R. J. Putra, B. L. Putro","doi":"10.1109/ICSITECH.2017.8257203","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257203","url":null,"abstract":"Computer Science Education courses concentrate on the scientific education of computer science, while the Computer Science Program concentrates on computer science. Both of these study programs have a close relationship to complement and improve each other in the domain of science and education in the field of computer science (cross-fertilization principle). Knowledge management nowadays is still in concept level that hard to implement and still requires exploration and improvement to develop. Failure level in implementation of Knowledge Management System (KMS) high enough that should be measured with KMS Readiness Levels. This research uses analytical hierarchy process (AHP) weighting method and Aydin/Tasci scales to find out the research objective which is priority weighting from each of concepts that has been studied and to find out readiness category based on Aydin/Tasci Scale. The initial phase is to design a scale of measurement using AHP method with normalization weight and priority values as final results the next phase is to analyze the processing values using Aydin/Tasci Scale to see readiness scale of knowledge management system in computer science program. As measured from the readiness level of KMS are knowledge manager, technology and culture. Based on that, AHP weight values for each concept which chosen for this KMS readiness research in Computer Science Program. The highest score is 3.176 from culture dimension. Average value KMS readiness in Computer Science Program is 2,863 which means Computer Science Program is not ready yet for KMS implementation.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126239859","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 : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257153
Cut Nurul Qamari, M. Ridwan
The field of education so far often make use of technology such as presentation slides and also interactive programs as a learning and teaching media. This study attempted to apply the Android-based augmented reality (AR) technology to display the learning materials in the digital format so the students can observe the overall learning object with the help of Android application. The main aim of this study was to understand the level of interest and inputs from the students related to the provided learning object, so it can be developed better in the next chance. This study was done using the qualitative approach method with the results sourced from the observation and simulation research method, using questionnaire form given to 24 students where the questions were based from the direct simulation using Android smartphone. The results show that 85,4% of the overall students are very interested in using AR media, 95,8% stated strongly agree that the biology learning material becomes more easily understood using AR media, 86,5% stated that AR media is very easy and practical to use, 76% stated strongly agree that their Android smartphone can function well to use AR media, and 65,6% stated that the AR cards used in this study can be scanned easily with using the application. Overall, the average percentage of all students' opinions was 81,9%, which was interpreted as a strongly agreed option that AR media is interesting to be applied as a media for studying dicotyledonous plants in the biology subject.
{"title":"Implementation of Android-based augmented reality as learning and teaching media of dicotyledonous plants learning materials in biology subject","authors":"Cut Nurul Qamari, M. Ridwan","doi":"10.1109/ICSITECH.2017.8257153","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257153","url":null,"abstract":"The field of education so far often make use of technology such as presentation slides and also interactive programs as a learning and teaching media. This study attempted to apply the Android-based augmented reality (AR) technology to display the learning materials in the digital format so the students can observe the overall learning object with the help of Android application. The main aim of this study was to understand the level of interest and inputs from the students related to the provided learning object, so it can be developed better in the next chance. This study was done using the qualitative approach method with the results sourced from the observation and simulation research method, using questionnaire form given to 24 students where the questions were based from the direct simulation using Android smartphone. The results show that 85,4% of the overall students are very interested in using AR media, 95,8% stated strongly agree that the biology learning material becomes more easily understood using AR media, 86,5% stated that AR media is very easy and practical to use, 76% stated strongly agree that their Android smartphone can function well to use AR media, and 65,6% stated that the AR cards used in this study can be scanned easily with using the application. Overall, the average percentage of all students' opinions was 81,9%, which was interpreted as a strongly agreed option that AR media is interesting to be applied as a media for studying dicotyledonous plants in the biology subject.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129488577","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 : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257192
Hanif F. Prasetyo, A. S. Rohman, M. Santabudi
Many physical process systems have performance limitation which limits their performance regardless the input. This limitation usually occurs in the form of actuator input saturation as the constraints of the system. To handle this input constraint, Model Predictive Control (MPC) is used as one of the popular advanced control technique in an industrial process to control a system. MPC contains quadratic objective function having constraints on the variables which must be resolved at each sampling time to produce an optimal control input to the system. This process of optimizing a certain quadratic function is called Quadratic Programming (QP). The computation of QP is usually slow and makes MPC takes a longer time to produce an optimal control input compare to other control technique especially in the online computation for real time embedded application. This problem can cause undesired result when used to control fast dynamic system such as BLDC motors. To overcome this problem, an iterative algorithm of Algorithm-3 is used as a fast QP computation solver. In this paper, MPC will be implemented to control the speed of BLDC motor using Arduino Mega 2560. Before implementation, system modeling, controller designing, and simulation are done using MATLAB. For the sake of comparison, the performance of MPC using Algorithm-3 will be compared with classic control techniques such as PID. From the results, it can be observed that MPC gives better performance than PID and it is shown that MPC capable to handle input saturation of the system better than PID.
许多物理处理系统都有性能限制，这限制了它们的性能，无论输入是什么。这种限制通常以执行器输入饱和的形式出现，作为系统的约束。为了处理这种输入约束，模型预测控制(MPC)被用作工业过程中常用的高级控制技术之一。MPC包含对变量有约束的二次目标函数，这些变量必须在每次采样时被解决，以产生系统的最优控制输入。这种优化某个二次函数的过程称为二次规划(quadratic Programming, QP)。与其他控制技术相比，QP的计算速度较慢，使得MPC需要较长的时间才能产生最优控制输入，特别是在实时嵌入式应用的在线计算中。当用于控制无刷直流电机等快速动态系统时，该问题可能会导致不理想的结果。为了克服这一问题，采用了algorithm -3的迭代算法作为快速的QP计算求解器。本文将使用Arduino Mega 2560实现MPC来控制无刷直流电机的速度。在实现之前，利用MATLAB进行了系统建模、控制器设计和仿真。为了比较，将使用Algorithm-3的MPC性能与经典控制技术(如PID)进行比较。从结果可以看出，MPC比PID具有更好的性能，并且MPC比PID能够更好地处理系统的输入饱和。
{"title":"Implementation of model predictive control using Algorithm-3 on Arduino Mega 2560 for speed control of BLDC motor","authors":"Hanif F. Prasetyo, A. S. Rohman, M. Santabudi","doi":"10.1109/ICSITECH.2017.8257192","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257192","url":null,"abstract":"Many physical process systems have performance limitation which limits their performance regardless the input. This limitation usually occurs in the form of actuator input saturation as the constraints of the system. To handle this input constraint, Model Predictive Control (MPC) is used as one of the popular advanced control technique in an industrial process to control a system. MPC contains quadratic objective function having constraints on the variables which must be resolved at each sampling time to produce an optimal control input to the system. This process of optimizing a certain quadratic function is called Quadratic Programming (QP). The computation of QP is usually slow and makes MPC takes a longer time to produce an optimal control input compare to other control technique especially in the online computation for real time embedded application. This problem can cause undesired result when used to control fast dynamic system such as BLDC motors. To overcome this problem, an iterative algorithm of Algorithm-3 is used as a fast QP computation solver. In this paper, MPC will be implemented to control the speed of BLDC motor using Arduino Mega 2560. Before implementation, system modeling, controller designing, and simulation are done using MATLAB. For the sake of comparison, the performance of MPC using Algorithm-3 will be compared with classic control techniques such as PID. From the results, it can be observed that MPC gives better performance than PID and it is shown that MPC capable to handle input saturation of the system better than PID.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129745006","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 : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257083
Alvin Lazaro, R. Sarno, Johanes Andre, Muhammad Nezar Mahardika
Music has become an integral part in human life. Recent studies show that music can affect human's mood. For example, music with slow tempo will cause the listener feel relaxed. Meanwhile, music with fast tempo will cause the listener feel excited. This paper discusses about music tempo classification using features from MPEG-7 based on Support Vector Machine (SVM). MPEG-7 is international standardized multimedia metadata in ISO/IEC 15938. The audio features used in this experiment are Audio Spectrum Centroid, Audio Spectrum Flatness, and Audio Spectrum Spread. Features are classified using SVM. The result of this operation is a classification of music based on its beats-per-minute (BPM). The classification rate of the experiment is 80%.
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