I. Budiantara, V. Ratnasari, E. Permatasari, Dasty Dewi Prawanti
Regression analysis is one method in statistics that used to know the pattern of functional relationships between response variables and predictor variables. Combination of parametric and nonparametric regression is semi parametric regression. The most popular estimator for nonparametric or semi parametric regression is spline truncated estimator. Problems in everyday life often using regression modeling with longitudinal data. Longitudinal data is a combination of cross-section data and time-series data. In longitudinal data, between subjects are independent of each other but between observations in the subject are dependent. One of the most important parts of statistical inference is interval estimation. Interval estimation aims to determine predictor variables that have a significant effect on the response variable. This study aims to obtain the form of interval estimation for parameters of semi parametric regression models using spline truncated estimator in longitudinal data. To solve this problem, the Weighted Least Square method and a pivotal quantity method were used for unknown population variance cases. The result of the theoretical study was that pivotal quantity distributed student-t. The shortest parameter interval estimation of semi parametric spline truncated regression model was obtained through the optimization process using the method of Lagrange.Regression analysis is one method in statistics that used to know the pattern of functional relationships between response variables and predictor variables. Combination of parametric and nonparametric regression is semi parametric regression. The most popular estimator for nonparametric or semi parametric regression is spline truncated estimator. Problems in everyday life often using regression modeling with longitudinal data. Longitudinal data is a combination of cross-section data and time-series data. In longitudinal data, between subjects are independent of each other but between observations in the subject are dependent. One of the most important parts of statistical inference is interval estimation. Interval estimation aims to determine predictor variables that have a significant effect on the response variable. This study aims to obtain the form of interval estimation for parameters of semi parametric regression models using spline truncated estimator in longitudinal data. To solve this problem, t...
{"title":"Shortest confidence interval of parameter semi parametric regression model using spline truncated for longitudinal data","authors":"I. Budiantara, V. Ratnasari, E. Permatasari, Dasty Dewi Prawanti","doi":"10.1063/1.5139746","DOIUrl":"https://doi.org/10.1063/1.5139746","url":null,"abstract":"Regression analysis is one method in statistics that used to know the pattern of functional relationships between response variables and predictor variables. Combination of parametric and nonparametric regression is semi parametric regression. The most popular estimator for nonparametric or semi parametric regression is spline truncated estimator. Problems in everyday life often using regression modeling with longitudinal data. Longitudinal data is a combination of cross-section data and time-series data. In longitudinal data, between subjects are independent of each other but between observations in the subject are dependent. One of the most important parts of statistical inference is interval estimation. Interval estimation aims to determine predictor variables that have a significant effect on the response variable. This study aims to obtain the form of interval estimation for parameters of semi parametric regression models using spline truncated estimator in longitudinal data. To solve this problem, the Weighted Least Square method and a pivotal quantity method were used for unknown population variance cases. The result of the theoretical study was that pivotal quantity distributed student-t. The shortest parameter interval estimation of semi parametric spline truncated regression model was obtained through the optimization process using the method of Lagrange.Regression analysis is one method in statistics that used to know the pattern of functional relationships between response variables and predictor variables. Combination of parametric and nonparametric regression is semi parametric regression. The most popular estimator for nonparametric or semi parametric regression is spline truncated estimator. Problems in everyday life often using regression modeling with longitudinal data. Longitudinal data is a combination of cross-section data and time-series data. In longitudinal data, between subjects are independent of each other but between observations in the subject are dependent. One of the most important parts of statistical inference is interval estimation. Interval estimation aims to determine predictor variables that have a significant effect on the response variable. This study aims to obtain the form of interval estimation for parameters of semi parametric regression models using spline truncated estimator in longitudinal data. To solve this problem, t...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132420193","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 vast area of oil palm plantations makes Indonesia the largest producer of palm oil in the world. Thus, it has the potential to be a source of biomass waste, especially empty fruit bunches. Biomass waste is the fourth largest energy source after coal, petroleum and natural gases so it can contribute more to the supply of renewable and sustainable energy sources. The utilization of this waste can be done by conversion through a thermochemical process, namely by pyrolysis. The conversion process produces emissions that have an impact on the environment. Emissions generated in this process are in the form of greenhouse gas emissions and air pollutant gases. This study identifies the impact of these emissions by using the Life Cycle Assessment (LCA). The LCA method was used in this study to assess the environmental impact associated with the use of empty fruit bunches with the help of Simapro 8.5 software. The stages of LCA are goals and scope, life cycle inventory, life cycle impact assessment, and data interpretation. By using SimaPro 8.5, the value of the magnitude of each environmental impact will be known. The results showed that the utilization of empty fruit bunches by fast pyrolysis has the potential environmental impacts of 0.02149 kg SO2eq as the causes of acidification; 0.00399 kg PO4eq causes of Eutrophication; 586 kg CO2eq causes of global warming (GWP100a), and 595 kg C2H4eq causes photochemical oxidation.The vast area of oil palm plantations makes Indonesia the largest producer of palm oil in the world. Thus, it has the potential to be a source of biomass waste, especially empty fruit bunches. Biomass waste is the fourth largest energy source after coal, petroleum and natural gases so it can contribute more to the supply of renewable and sustainable energy sources. The utilization of this waste can be done by conversion through a thermochemical process, namely by pyrolysis. The conversion process produces emissions that have an impact on the environment. Emissions generated in this process are in the form of greenhouse gas emissions and air pollutant gases. This study identifies the impact of these emissions by using the Life Cycle Assessment (LCA). The LCA method was used in this study to assess the environmental impact associated with the use of empty fruit bunches with the help of Simapro 8.5 software. The stages of LCA are goals and scope, life cycle inventory, life cycle impact assessment, and data i...
大面积的油棕种植园使印度尼西亚成为世界上最大的棕榈油生产国。因此,它有可能成为生物质废物的来源,特别是空的水果束。生物质废弃物是继煤炭、石油和天然气之后的第四大能源,因此它可以为可再生和可持续能源的供应做出更大贡献。这种废物的利用可以通过热化学过程进行转化,即热解。转化过程产生对环境有影响的排放物。在这一过程中产生的排放以温室气体排放和大气污染气体的形式存在。本研究通过使用生命周期评估(LCA)来确定这些排放的影响。本研究采用LCA方法,在Simapro 8.5软件的帮助下,对使用空果束的环境影响进行了评估。生命周期分析的阶段包括目标和范围、生命周期清单、生命周期影响评估和数据解释。通过使用SimaPro 8.5,将知道每个环境影响的大小值。结果表明:空果串快速热解利用造成酸化的潜在环境影响为0.02149 kg SO2eq;0.00399 kg PO4eq富营养化原因;586千克二氧化碳当量引起全球变暖(GWP100a), 595千克二氧化碳当量引起光化学氧化。大面积的油棕种植园使印度尼西亚成为世界上最大的棕榈油生产国。因此,它有可能成为生物质废物的来源,特别是空的水果束。生物质废弃物是继煤炭、石油和天然气之后的第四大能源,因此它可以为可再生和可持续能源的供应做出更大贡献。这种废物的利用可以通过热化学过程进行转化,即热解。转化过程产生对环境有影响的排放物。在这一过程中产生的排放以温室气体排放和大气污染气体的形式存在。本研究通过使用生命周期评估(LCA)来确定这些排放的影响。本研究采用LCA方法,在Simapro 8.5软件的帮助下,对使用空果束的环境影响进行了评估。生命周期分析的阶段包括目标和范围、生命周期清单、生命周期影响评估和数据分析。
{"title":"Life Cycle Assessment (LCA) utilization of oil palm empty fruit bunches as bioenergy","authors":"Khumaidah Darojat, Wahyono Hadi, D. Rahayu","doi":"10.1063/1.5139751","DOIUrl":"https://doi.org/10.1063/1.5139751","url":null,"abstract":"The vast area of oil palm plantations makes Indonesia the largest producer of palm oil in the world. Thus, it has the potential to be a source of biomass waste, especially empty fruit bunches. Biomass waste is the fourth largest energy source after coal, petroleum and natural gases so it can contribute more to the supply of renewable and sustainable energy sources. The utilization of this waste can be done by conversion through a thermochemical process, namely by pyrolysis. The conversion process produces emissions that have an impact on the environment. Emissions generated in this process are in the form of greenhouse gas emissions and air pollutant gases. This study identifies the impact of these emissions by using the Life Cycle Assessment (LCA). The LCA method was used in this study to assess the environmental impact associated with the use of empty fruit bunches with the help of Simapro 8.5 software. The stages of LCA are goals and scope, life cycle inventory, life cycle impact assessment, and data interpretation. By using SimaPro 8.5, the value of the magnitude of each environmental impact will be known. The results showed that the utilization of empty fruit bunches by fast pyrolysis has the potential environmental impacts of 0.02149 kg SO2eq as the causes of acidification; 0.00399 kg PO4eq causes of Eutrophication; 586 kg CO2eq causes of global warming (GWP100a), and 595 kg C2H4eq causes photochemical oxidation.The vast area of oil palm plantations makes Indonesia the largest producer of palm oil in the world. Thus, it has the potential to be a source of biomass waste, especially empty fruit bunches. Biomass waste is the fourth largest energy source after coal, petroleum and natural gases so it can contribute more to the supply of renewable and sustainable energy sources. The utilization of this waste can be done by conversion through a thermochemical process, namely by pyrolysis. The conversion process produces emissions that have an impact on the environment. Emissions generated in this process are in the form of greenhouse gas emissions and air pollutant gases. This study identifies the impact of these emissions by using the Life Cycle Assessment (LCA). The LCA method was used in this study to assess the environmental impact associated with the use of empty fruit bunches with the help of Simapro 8.5 software. The stages of LCA are goals and scope, life cycle inventory, life cycle impact assessment, and data i...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132810099","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}
It has developed computer-assisted recitation program to improve students’ conceptual understanding on rotational dynamics. The program consisted of multiple choices questions with immediately feedback following each option. Each question was designed to uncover common students’ naive conceptions. The questions covered the concepts of rotational kinematics; relation of torque, moment of inertia, and angular acceleration; rolling motions; angular momentum; conservation of angular momentum; and rigid object in equilibrium. The program was piloted to 40 undergraduate students of physics education enrolled introductory physics in State University of Malang. This paper reports the effectiveness of the program based on the analysis of the students’ scores on pretest and posttest. The result showed that the program significantly improved students’ conceptual understanding with very high d-effect size (2.06) and n-gain (0.438).It has developed computer-assisted recitation program to improve students’ conceptual understanding on rotational dynamics. The program consisted of multiple choices questions with immediately feedback following each option. Each question was designed to uncover common students’ naive conceptions. The questions covered the concepts of rotational kinematics; relation of torque, moment of inertia, and angular acceleration; rolling motions; angular momentum; conservation of angular momentum; and rigid object in equilibrium. The program was piloted to 40 undergraduate students of physics education enrolled introductory physics in State University of Malang. This paper reports the effectiveness of the program based on the analysis of the students’ scores on pretest and posttest. The result showed that the program significantly improved students’ conceptual understanding with very high d-effect size (2.06) and n-gain (0.438).
{"title":"Computer-assisted recitation program to improve students’ conceptual understanding","authors":"Irma Rahmawati, Sutopo","doi":"10.1063/1.5139829","DOIUrl":"https://doi.org/10.1063/1.5139829","url":null,"abstract":"It has developed computer-assisted recitation program to improve students’ conceptual understanding on rotational dynamics. The program consisted of multiple choices questions with immediately feedback following each option. Each question was designed to uncover common students’ naive conceptions. The questions covered the concepts of rotational kinematics; relation of torque, moment of inertia, and angular acceleration; rolling motions; angular momentum; conservation of angular momentum; and rigid object in equilibrium. The program was piloted to 40 undergraduate students of physics education enrolled introductory physics in State University of Malang. This paper reports the effectiveness of the program based on the analysis of the students’ scores on pretest and posttest. The result showed that the program significantly improved students’ conceptual understanding with very high d-effect size (2.06) and n-gain (0.438).It has developed computer-assisted recitation program to improve students’ conceptual understanding on rotational dynamics. The program consisted of multiple choices questions with immediately feedback following each option. Each question was designed to uncover common students’ naive conceptions. The questions covered the concepts of rotational kinematics; relation of torque, moment of inertia, and angular acceleration; rolling motions; angular momentum; conservation of angular momentum; and rigid object in equilibrium. The program was piloted to 40 undergraduate students of physics education enrolled introductory physics in State University of Malang. This paper reports the effectiveness of the program based on the analysis of the students’ scores on pretest and posttest. The result showed that the program significantly improved students’ conceptual understanding with very high d-effect size (2.06) and n-gain (0.438).","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"20 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116639375","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}
Shifi Syarifa Fahmina, M. Masykuri, D. G. Ramadhani, S. Yamtinah
Content validity is useful for testing the suitability of test items with the materials and capabilities to be measured. This validity is done by testing the feasibility of the instrument through panel discussions by experts who are competent in their fields. In this study, content validity was applied to the computerized testlet instrument. Computerized testlet is a group of multiple-choice items to reveal the same information developed in a computerized system. The computerized testlet instrument in this study consists of sevens stem (the subject matter), each of with consists of three interrelated multiple-choice questions. This computerized testlet instrument was validated by nine raters consisting of three chemistry education experts, three chemistry teachers, and three chemistry education students. The validation was done by referring to the assessment of five aspects including the aspects of scientific competence, science subject knowledge, question context, spelling and language, and clarity of th...
{"title":"Content validity uses Rasch model on computerized testlet instrument to measure chemical literacy capabilities","authors":"Shifi Syarifa Fahmina, M. Masykuri, D. G. Ramadhani, S. Yamtinah","doi":"10.1063/1.5139755","DOIUrl":"https://doi.org/10.1063/1.5139755","url":null,"abstract":"Content validity is useful for testing the suitability of test items with the materials and capabilities to be measured. This validity is done by testing the feasibility of the instrument through panel discussions by experts who are competent in their fields. In this study, content validity was applied to the computerized testlet instrument. Computerized testlet is a group of multiple-choice items to reveal the same information developed in a computerized system. The computerized testlet instrument in this study consists of sevens stem (the subject matter), each of with consists of three interrelated multiple-choice questions. This computerized testlet instrument was validated by nine raters consisting of three chemistry education experts, three chemistry teachers, and three chemistry education students. The validation was done by referring to the assessment of five aspects including the aspects of scientific competence, science subject knowledge, question context, spelling and language, and clarity of th...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126158772","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}
Muhammad Abdul Hanif Yussop, Nurulakma Zali, Pg. Mohammad Adib Ridaddudin Pg. Johari, K. A. Tengah, M. Shahrill
In schools, the teachers’ responsibilities are not just limited to preparation for teaching, handling students, preparing and marking examination papers, but they also have school administration responsibilities. The amount of administrative workload may also be perceived as an interference with the time for the teachers to plan and prepare for their teaching. There has been an increase in the number of Mathematics teachers in Brunei Darussalam who chose to change their career path from being a teacher. In addition, few incidents have been reported where teachers were emotionally affected by the amount of their workloads. This study investigated which aspects contributed to Bruneian Mathematics teachers’ stress, and how do these teachers manage their workload stress inside and outside their schools. In total, 116 Mathematics teachers responded to an online questionnaire, which was based on a 4-point Likert scale. The participants comprised of Mathematics teachers who taught at the primary (38), secondary (49), post-secondary (20) school levels, and also at the tertiary level including the technical schools in Brunei (9). The main factors that were found to have contributed to the Mathematics teachers’ stress were the teachers’ workload, the public’s perspective of a teacher, financial burden and the students’ behaviour and performance. In managing workload stress within the school, 56% of the respondents believed that teamwork on the workload can help them lessen the stress acquired. Meanwhile for outside school, workload stress may be reduced with family activities or going on vacations. The existence of stress on our Mathematics teachers and how they can cope with stress will need to be addressed accordingly if we are to promote a healthy workplace culture.In schools, the teachers’ responsibilities are not just limited to preparation for teaching, handling students, preparing and marking examination papers, but they also have school administration responsibilities. The amount of administrative workload may also be perceived as an interference with the time for the teachers to plan and prepare for their teaching. There has been an increase in the number of Mathematics teachers in Brunei Darussalam who chose to change their career path from being a teacher. In addition, few incidents have been reported where teachers were emotionally affected by the amount of their workloads. This study investigated which aspects contributed to Bruneian Mathematics teachers’ stress, and how do these teachers manage their workload stress inside and outside their schools. In total, 116 Mathematics teachers responded to an online questionnaire, which was based on a 4-point Likert scale. The participants comprised of Mathematics teachers who taught at the primary (38), secondary ...
{"title":"Identifying the factors that cause stress to mathematics teachers","authors":"Muhammad Abdul Hanif Yussop, Nurulakma Zali, Pg. Mohammad Adib Ridaddudin Pg. Johari, K. A. Tengah, M. Shahrill","doi":"10.1063/1.5139876","DOIUrl":"https://doi.org/10.1063/1.5139876","url":null,"abstract":"In schools, the teachers’ responsibilities are not just limited to preparation for teaching, handling students, preparing and marking examination papers, but they also have school administration responsibilities. The amount of administrative workload may also be perceived as an interference with the time for the teachers to plan and prepare for their teaching. There has been an increase in the number of Mathematics teachers in Brunei Darussalam who chose to change their career path from being a teacher. In addition, few incidents have been reported where teachers were emotionally affected by the amount of their workloads. This study investigated which aspects contributed to Bruneian Mathematics teachers’ stress, and how do these teachers manage their workload stress inside and outside their schools. In total, 116 Mathematics teachers responded to an online questionnaire, which was based on a 4-point Likert scale. The participants comprised of Mathematics teachers who taught at the primary (38), secondary (49), post-secondary (20) school levels, and also at the tertiary level including the technical schools in Brunei (9). The main factors that were found to have contributed to the Mathematics teachers’ stress were the teachers’ workload, the public’s perspective of a teacher, financial burden and the students’ behaviour and performance. In managing workload stress within the school, 56% of the respondents believed that teamwork on the workload can help them lessen the stress acquired. Meanwhile for outside school, workload stress may be reduced with family activities or going on vacations. The existence of stress on our Mathematics teachers and how they can cope with stress will need to be addressed accordingly if we are to promote a healthy workplace culture.In schools, the teachers’ responsibilities are not just limited to preparation for teaching, handling students, preparing and marking examination papers, but they also have school administration responsibilities. The amount of administrative workload may also be perceived as an interference with the time for the teachers to plan and prepare for their teaching. There has been an increase in the number of Mathematics teachers in Brunei Darussalam who chose to change their career path from being a teacher. In addition, few incidents have been reported where teachers were emotionally affected by the amount of their workloads. This study investigated which aspects contributed to Bruneian Mathematics teachers’ stress, and how do these teachers manage their workload stress inside and outside their schools. In total, 116 Mathematics teachers responded to an online questionnaire, which was based on a 4-point Likert scale. The participants comprised of Mathematics teachers who taught at the primary (38), secondary ...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127628431","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}
Anindya Apriliyanti Pravitasari, Yusuf Puji Hermanto, Nur Iriawan, Irhamah, K. Fithriasari, S. W. Purnami, Widiana Ferriastuti
A brain tumor is the 15th deadly disease in Indonesia according to the WHO in 2018. In medical treatment, brain tumors can be detected through Magnetic Resonance Imaging (MRI). The main problem is how to separate the brain tumor area as the Region of interest (ROI) with the other healthy part (Non-ROI) in the MRI. In the computational statistics, a method used in image segmentation is cluster analysis. Model-Based Clustering with Gaussian Mixture Model (GMM) is often used to find the cluster where the tumor is placed. The EM Algorithm and Bayesian coupled with Markov chain Monte Carlo (MCMC) could be used to optimize the GMM. However, both EM and Bayesian MCMC are assumed that the number of clusters is fixed. Therefore, to select the optimum number of clusters, we have to use certain cluster selection criteria. This process makes the segmentation quite complicated and is not automatic. This study tries to employ the GMM using Reversible Jump Markov Chain Monte Carlo Algorithm (GMM-RJMCMC) to segment the MRI-based brain tumor and compare it with the GMM-MCMC. The use of RJMCMC is expected to accelerate the calculation process, which can provide the number of optimum clusters automatically; moreover, the MRI image segmentation could become more adaptive. The result shows that from the Correct Classification Ratio (CCR), the GMM-RJMCMC could provide an equal segmentation results compared to the GMM-MCMC, however, GMM-RJMCMC has the advantage, that is faster in executing the algorithm, this makes GMM-RJMCMC more efficient in finding the optimum number of clusters.
{"title":"MRI-based brain tumor segmentation using Gaussian mixture model with reversible jump Markov chain Monte Carlo algorithm","authors":"Anindya Apriliyanti Pravitasari, Yusuf Puji Hermanto, Nur Iriawan, Irhamah, K. Fithriasari, S. W. Purnami, Widiana Ferriastuti","doi":"10.1063/1.5139817","DOIUrl":"https://doi.org/10.1063/1.5139817","url":null,"abstract":"A brain tumor is the 15th deadly disease in Indonesia according to the WHO in 2018. In medical treatment, brain tumors can be detected through Magnetic Resonance Imaging (MRI). The main problem is how to separate the brain tumor area as the Region of interest (ROI) with the other healthy part (Non-ROI) in the MRI. In the computational statistics, a method used in image segmentation is cluster analysis. Model-Based Clustering with Gaussian Mixture Model (GMM) is often used to find the cluster where the tumor is placed. The EM Algorithm and Bayesian coupled with Markov chain Monte Carlo (MCMC) could be used to optimize the GMM. However, both EM and Bayesian MCMC are assumed that the number of clusters is fixed. Therefore, to select the optimum number of clusters, we have to use certain cluster selection criteria. This process makes the segmentation quite complicated and is not automatic. This study tries to employ the GMM using Reversible Jump Markov Chain Monte Carlo Algorithm (GMM-RJMCMC) to segment the MRI-based brain tumor and compare it with the GMM-MCMC. The use of RJMCMC is expected to accelerate the calculation process, which can provide the number of optimum clusters automatically; moreover, the MRI image segmentation could become more adaptive. The result shows that from the Correct Classification Ratio (CCR), the GMM-RJMCMC could provide an equal segmentation results compared to the GMM-MCMC, however, GMM-RJMCMC has the advantage, that is faster in executing the algorithm, this makes GMM-RJMCMC more efficient in finding the optimum number of clusters.","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121222256","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}
N. A. Firdausanti, Irhamah, M. Aritsugi, H. Kuswanto
The data generated by DNA microarray technology can be used to predict and classify genes taken from certain tissues in humans to be classified as cancer or not. Microarray data consists of thousands of variables, but limited data is available. Support Vector Machine (SVM) is a supervised learning method that can be used for classification on the high-dimensional dataset. There are two problems in SVM classifier that influence the classification accuracy, which are tuning SVM parameters and selecting the best features subset to the SVM classifier. Several approaches have been carried out for the feature selection process and tuning SVM parameter, including a wrapper-based approach. The wrapper-based algorithm used in this research is Crazy Particle Swarm Optimization (CRAZYPSO) and Ant Colony Optimization (ACO). Both algorithms are the computational intelligence-based algorithm that can be used to solve the optimization problems, such as feature selection and parameter optimization. These algorithms are inspired by animal behavior in the real world. CRAZYPSO calculations are very simple compared to other optimization algorithms. While ACO has several advantages, such as strong robustness, well-distributed computing mechanism and easily combined with other methods. This study wants to compare the CRAZYPSO and ACO algorithm in the case of microarray data classification. The microarray datasets used in this study are the prostate dataset and colon dataset. This study uses k-fold cross-validation accuracy to compare the CRAZYPSO and ACO algorithm in the case of microarray data classification using Support Vector Machine. The result shows that the ACO algorithm gives a better result in feature selection than the CRAZYPSO algorithm with higher accuracy rate and less selected features. This study also shows that the SVM parameter optimized using ACO algorithm gives higher classification accuracy rate than parameter optimized using CRAZYPSO algorithm.
{"title":"Ant colony optimization and crazy particle swarm optimization for support vector support machine classification on high-dimensional dataset","authors":"N. A. Firdausanti, Irhamah, M. Aritsugi, H. Kuswanto","doi":"10.1063/1.5139759","DOIUrl":"https://doi.org/10.1063/1.5139759","url":null,"abstract":"The data generated by DNA microarray technology can be used to predict and classify genes taken from certain tissues in humans to be classified as cancer or not. Microarray data consists of thousands of variables, but limited data is available. Support Vector Machine (SVM) is a supervised learning method that can be used for classification on the high-dimensional dataset. There are two problems in SVM classifier that influence the classification accuracy, which are tuning SVM parameters and selecting the best features subset to the SVM classifier. Several approaches have been carried out for the feature selection process and tuning SVM parameter, including a wrapper-based approach. The wrapper-based algorithm used in this research is Crazy Particle Swarm Optimization (CRAZYPSO) and Ant Colony Optimization (ACO). Both algorithms are the computational intelligence-based algorithm that can be used to solve the optimization problems, such as feature selection and parameter optimization. These algorithms are inspired by animal behavior in the real world. CRAZYPSO calculations are very simple compared to other optimization algorithms. While ACO has several advantages, such as strong robustness, well-distributed computing mechanism and easily combined with other methods. This study wants to compare the CRAZYPSO and ACO algorithm in the case of microarray data classification. The microarray datasets used in this study are the prostate dataset and colon dataset. This study uses k-fold cross-validation accuracy to compare the CRAZYPSO and ACO algorithm in the case of microarray data classification using Support Vector Machine. The result shows that the ACO algorithm gives a better result in feature selection than the CRAZYPSO algorithm with higher accuracy rate and less selected features. This study also shows that the SVM parameter optimized using ACO algorithm gives higher classification accuracy rate than parameter optimized using CRAZYPSO algorithm.","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124418239","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 adoption of robotics has been becoming prominent in computational thinking literature. The modularity characteristics of lego robotics, for example, enables learners to construct their understanding of the abstraction of complex robotics parts. Educational organisations that adopt computing would be likely to introduce computational thinking as an integrated part of the regular curriculum. Organisations in the UK and the United States, for example, conceptualise the delivery of computing curricula in connection with the development of computational thinking skills that all students must learn in the 21st century. This paper is a literature review report aggregating publications from outstanding outlets. Focusing on investigating more deeply about the roles of learning computational thinking using robotics-based media, in hopes of finding new findings that can support the advance of 21st-century skills. The results show that computational thinking using robotics-based media can foster interest in the STEM field, which includes some skills like creative thinking, problem-solving, collaborative learning, algorithmic and critical thinking, abstraction, and debugging. The skills are essential for children to develop themselves in the 21st century, taking into account the learning material and the right learning approach.The adoption of robotics has been becoming prominent in computational thinking literature. The modularity characteristics of lego robotics, for example, enables learners to construct their understanding of the abstraction of complex robotics parts. Educational organisations that adopt computing would be likely to introduce computational thinking as an integrated part of the regular curriculum. Organisations in the UK and the United States, for example, conceptualise the delivery of computing curricula in connection with the development of computational thinking skills that all students must learn in the 21st century. This paper is a literature review report aggregating publications from outstanding outlets. Focusing on investigating more deeply about the roles of learning computational thinking using robotics-based media, in hopes of finding new findings that can support the advance of 21st-century skills. The results show that computational thinking using robotics-based media can foster interest in the S...
{"title":"Beyond computational thinking: Investigating CT roles in the 21st century skill efficacy","authors":"S. Amri, C. Budiyanto, R. Yuana","doi":"10.1063/1.5139735","DOIUrl":"https://doi.org/10.1063/1.5139735","url":null,"abstract":"The adoption of robotics has been becoming prominent in computational thinking literature. The modularity characteristics of lego robotics, for example, enables learners to construct their understanding of the abstraction of complex robotics parts. Educational organisations that adopt computing would be likely to introduce computational thinking as an integrated part of the regular curriculum. Organisations in the UK and the United States, for example, conceptualise the delivery of computing curricula in connection with the development of computational thinking skills that all students must learn in the 21st century. This paper is a literature review report aggregating publications from outstanding outlets. Focusing on investigating more deeply about the roles of learning computational thinking using robotics-based media, in hopes of finding new findings that can support the advance of 21st-century skills. The results show that computational thinking using robotics-based media can foster interest in the STEM field, which includes some skills like creative thinking, problem-solving, collaborative learning, algorithmic and critical thinking, abstraction, and debugging. The skills are essential for children to develop themselves in the 21st century, taking into account the learning material and the right learning approach.The adoption of robotics has been becoming prominent in computational thinking literature. The modularity characteristics of lego robotics, for example, enables learners to construct their understanding of the abstraction of complex robotics parts. Educational organisations that adopt computing would be likely to introduce computational thinking as an integrated part of the regular curriculum. Organisations in the UK and the United States, for example, conceptualise the delivery of computing curricula in connection with the development of computational thinking skills that all students must learn in the 21st century. This paper is a literature review report aggregating publications from outstanding outlets. Focusing on investigating more deeply about the roles of learning computational thinking using robotics-based media, in hopes of finding new findings that can support the advance of 21st-century skills. The results show that computational thinking using robotics-based media can foster interest in the S...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131901315","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}
One of the innovations which has a major impact on education in the era of industrial revolution 4.0 is virtual laboratory. Virtual lab accommodates practical education with all limitations that exist, like tools and materials of practical equipment in schools which isn’t in line with the current technology. Although virtual laboratories have been realized as a supporting tool in learning process, their applications in vocational education have not been extensively explored yet. With the learning characteristics of the vocational which are a fairly large proportion of practical compared to theoretical activities. This paper reviews the latest developments of virtual labs to gain insight into the various virtual laboratories that may relevant to vocational education. This study used a systematic literature review of selected research papers based on relevant keywords of the virtual lab in vocational education. Insights from the papers reviewed subsequently were developed to elaborate on the use of a virtua...
{"title":"Virtual lab for vocational education in Indonesia: A review of the literature","authors":"W. Sasongko, I. Widiastuti","doi":"10.1063/1.5139845","DOIUrl":"https://doi.org/10.1063/1.5139845","url":null,"abstract":"One of the innovations which has a major impact on education in the era of industrial revolution 4.0 is virtual laboratory. Virtual lab accommodates practical education with all limitations that exist, like tools and materials of practical equipment in schools which isn’t in line with the current technology. Although virtual laboratories have been realized as a supporting tool in learning process, their applications in vocational education have not been extensively explored yet. With the learning characteristics of the vocational which are a fairly large proportion of practical compared to theoretical activities. This paper reviews the latest developments of virtual labs to gain insight into the various virtual laboratories that may relevant to vocational education. This study used a systematic literature review of selected research papers based on relevant keywords of the virtual lab in vocational education. Insights from the papers reviewed subsequently were developed to elaborate on the use of a virtua...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113971987","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}
F. Widyastuti, R. Probosari, S. Saputro, S. Soetikno, S. Sajidan
The aims of this study were knowing the teachers knowledge, the way practicing environmental learning toward environmental issues and awareness, and perceptions of experiential learning design. There were thirty five science teachers of Madrasah Tsanawiyah (MTs) in Jawa Tengah and Daerah Istimewa Yogyakarta Indonesia engaged as participants. Limited survey is used as research method, while qualitative descriptive is used to analyse the data. The result shew the difference between teachers perceptions and practicing on teaching environmental issues, but, in general, they were interested in experiential learning implementation. The strategy and instructions are discussing further.The aims of this study were knowing the teachers knowledge, the way practicing environmental learning toward environmental issues and awareness, and perceptions of experiential learning design. There were thirty five science teachers of Madrasah Tsanawiyah (MTs) in Jawa Tengah and Daerah Istimewa Yogyakarta Indonesia engaged as participants. Limited survey is used as research method, while qualitative descriptive is used to analyse the data. The result shew the difference between teachers perceptions and practicing on teaching environmental issues, but, in general, they were interested in experiential learning implementation. The strategy and instructions are discussing further.
{"title":"Teachers viewpoints of teaching science using experiential learning related to environmental issues","authors":"F. Widyastuti, R. Probosari, S. Saputro, S. Soetikno, S. Sajidan","doi":"10.1063/1.5139872","DOIUrl":"https://doi.org/10.1063/1.5139872","url":null,"abstract":"The aims of this study were knowing the teachers knowledge, the way practicing environmental learning toward environmental issues and awareness, and perceptions of experiential learning design. There were thirty five science teachers of Madrasah Tsanawiyah (MTs) in Jawa Tengah and Daerah Istimewa Yogyakarta Indonesia engaged as participants. Limited survey is used as research method, while qualitative descriptive is used to analyse the data. The result shew the difference between teachers perceptions and practicing on teaching environmental issues, but, in general, they were interested in experiential learning implementation. The strategy and instructions are discussing further.The aims of this study were knowing the teachers knowledge, the way practicing environmental learning toward environmental issues and awareness, and perceptions of experiential learning design. There were thirty five science teachers of Madrasah Tsanawiyah (MTs) in Jawa Tengah and Daerah Istimewa Yogyakarta Indonesia engaged as participants. Limited survey is used as research method, while qualitative descriptive is used to analyse the data. The result shew the difference between teachers perceptions and practicing on teaching environmental issues, but, in general, they were interested in experiential learning implementation. The strategy and instructions are discussing further.","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116671138","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}