Despite a fact that using real biological specimens in teaching and learning biodiversity and classification can enhance student’s learning competencies, the biophilia issues emphasizing on student’s attitude to respect the non-human organism should become a challenge to be addressed. Virtual laboratory may provide solutions answering the problems of both, contextuality and biophilia issues in teaching and learning biodiversity and classification. However, appropriate taxonomic concepts and principles are still needed to develop a competence-based virtual laboratory media. This paper aims to analyze challenges and opportunities in developing virtual laboratory in addressing those the two aforementioned issues. Both opportunities and challenges of using virtual laboratory are scrutinized in a context of the important concepts and principles in biodiversity classification and taxonomy. From the perspective of non-anthropocentrism, one of the important affective learning outcomes of teaching and learning biodiversity and classification is building student’s habit to respects to the non-human organism. Therefore, using real biological specimens should be minimized because of its ability in breaking this habit breaking this sensitivity. The problem of contextuality and learning outcome achievement then is challenged. Virtual laboratory may bear opportunities in addressing the problems of contextuality and learning outcome achievement. The virtual laboratory should be systematically designed and structured to assist a ‘step by step’ understanding of the important concepts and principles in biodiversity and classification. A precise 3D taxonomic artificial specimens and model may still be required to complement the virtual laboratory media and altering the contextuality of using the real biological specimens.Despite a fact that using real biological specimens in teaching and learning biodiversity and classification can enhance student’s learning competencies, the biophilia issues emphasizing on student’s attitude to respect the non-human organism should become a challenge to be addressed. Virtual laboratory may provide solutions answering the problems of both, contextuality and biophilia issues in teaching and learning biodiversity and classification. However, appropriate taxonomic concepts and principles are still needed to develop a competence-based virtual laboratory media. This paper aims to analyze challenges and opportunities in developing virtual laboratory in addressing those the two aforementioned issues. Both opportunities and challenges of using virtual laboratory are scrutinized in a context of the important concepts and principles in biodiversity classification and taxonomy. From the perspective of non-anthropocentrism, one of the important affective learning outcomes of teaching and learning bio...
{"title":"Challenges and opportunities of using virtual laboratory in teaching biodiversity and classification","authors":"Zayyana Fatati Azizah, P. Karyanto, Y. Rinanto","doi":"10.1063/1.5139742","DOIUrl":"https://doi.org/10.1063/1.5139742","url":null,"abstract":"Despite a fact that using real biological specimens in teaching and learning biodiversity and classification can enhance student’s learning competencies, the biophilia issues emphasizing on student’s attitude to respect the non-human organism should become a challenge to be addressed. Virtual laboratory may provide solutions answering the problems of both, contextuality and biophilia issues in teaching and learning biodiversity and classification. However, appropriate taxonomic concepts and principles are still needed to develop a competence-based virtual laboratory media. This paper aims to analyze challenges and opportunities in developing virtual laboratory in addressing those the two aforementioned issues. Both opportunities and challenges of using virtual laboratory are scrutinized in a context of the important concepts and principles in biodiversity classification and taxonomy. From the perspective of non-anthropocentrism, one of the important affective learning outcomes of teaching and learning biodiversity and classification is building student’s habit to respects to the non-human organism. Therefore, using real biological specimens should be minimized because of its ability in breaking this habit breaking this sensitivity. The problem of contextuality and learning outcome achievement then is challenged. Virtual laboratory may bear opportunities in addressing the problems of contextuality and learning outcome achievement. The virtual laboratory should be systematically designed and structured to assist a ‘step by step’ understanding of the important concepts and principles in biodiversity and classification. A precise 3D taxonomic artificial specimens and model may still be required to complement the virtual laboratory media and altering the contextuality of using the real biological specimens.Despite a fact that using real biological specimens in teaching and learning biodiversity and classification can enhance student’s learning competencies, the biophilia issues emphasizing on student’s attitude to respect the non-human organism should become a challenge to be addressed. Virtual laboratory may provide solutions answering the problems of both, contextuality and biophilia issues in teaching and learning biodiversity and classification. However, appropriate taxonomic concepts and principles are still needed to develop a competence-based virtual laboratory media. This paper aims to analyze challenges and opportunities in developing virtual laboratory in addressing those the two aforementioned issues. Both opportunities and challenges of using virtual laboratory are scrutinized in a context of the important concepts and principles in biodiversity classification and taxonomy. From the perspective of non-anthropocentrism, one of the important affective learning outcomes of teaching and learning bio...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"120 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":"132642298","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}
Many time series data have both time and space dimension which is known as space-time data. The objective of this research is to propose a hybrid Multivariate Generalized Space-Time Autoregressive Artificial Neural Network (MGSTAR- ANN) for handling both linear and nonlinear pattern in space-time data forecast. Air pollution data is used as a case study. The data consist of three pollutants, i.e. CO, NO2, and PM10 that were observed at three different locations, i.e. SUF 1, SUF 6, and SUF 7. RMSE (Root Mean Square Error) is used as an accuracy measurement for selecting the best model. The results show that a hybrid MGSTAR-ANN yield more accurate forecast than MGSTAR model. Moreover, these results are in line with one out of five major findings in the M4-Competition reported that the hybrid approach which utilized both statistical and Machine Learning features have more accurate result than the combination benchmark used to compare the submitted methods.
{"title":"Hybrid multivariate generalized space-time autoregressive artificial neural network models to forecast air pollution data at Surabaya","authors":"E. Pusporani, Suhartono, D. Prastyo","doi":"10.1063/1.5139822","DOIUrl":"https://doi.org/10.1063/1.5139822","url":null,"abstract":"Many time series data have both time and space dimension which is known as space-time data. The objective of this research is to propose a hybrid Multivariate Generalized Space-Time Autoregressive Artificial Neural Network (MGSTAR- ANN) for handling both linear and nonlinear pattern in space-time data forecast. Air pollution data is used as a case study. The data consist of three pollutants, i.e. CO, NO2, and PM10 that were observed at three different locations, i.e. SUF 1, SUF 6, and SUF 7. RMSE (Root Mean Square Error) is used as an accuracy measurement for selecting the best model. The results show that a hybrid MGSTAR-ANN yield more accurate forecast than MGSTAR model. Moreover, these results are in line with one out of five major findings in the M4-Competition reported that the hybrid approach which utilized both statistical and Machine Learning features have more accurate result than the combination benchmark used to compare the submitted methods.","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"8 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134530342","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}
Hemoglobin (Hb) is an important parameter in human medical treatment. At present, hemoglobin level is measured by invasive method. This method require blood sample, less accurate and the result can be delayed. So that, human hemoglobin spectrophotometry characterization research to obtain a spectrophotometric spectrum in the development of non-invasive hemoglobin measuring devices is needed. The advantages of non-invasive method are do not require blood samples, high accuracy, painless, and allow for quick. Hemoglobin level measurement in non-invasive method can be done by measuring light absorption at different wavelengths. This non-invasive device needs appropriate LED wavelength to detect the level of hemoglobin. Hemoglobin is the dominant absorbent at 800-1600 nm. This experiment used near infrared (NIR) spectrum analysis in 1000-2500 nm. The result of this experiment is the candidates for LED wavelength that can be used in non-invasive hemoglobin measurement devices are 1200 nm and 1300 nm. This determination is based on the lowest standard deviation value at 1293 nm, the highest correlation value at a wavelength of 1266 nm, and is in the near infrared region vibration of C-H functional group at the 3rd energy level, 1252 nm in harmonic vibration. At a wavelength of 1200 nm and 1300 nm it shows low infrared absorption. It shows that non-invasive hemoglobin measuring devices that use an infrared reflectance sensor can be used.Hemoglobin (Hb) is an important parameter in human medical treatment. At present, hemoglobin level is measured by invasive method. This method require blood sample, less accurate and the result can be delayed. So that, human hemoglobin spectrophotometry characterization research to obtain a spectrophotometric spectrum in the development of non-invasive hemoglobin measuring devices is needed. The advantages of non-invasive method are do not require blood samples, high accuracy, painless, and allow for quick. Hemoglobin level measurement in non-invasive method can be done by measuring light absorption at different wavelengths. This non-invasive device needs appropriate LED wavelength to detect the level of hemoglobin. Hemoglobin is the dominant absorbent at 800-1600 nm. This experiment used near infrared (NIR) spectrum analysis in 1000-2500 nm. The result of this experiment is the candidates for LED wavelength that can be used in non-invasive hemoglobin measurement devices are 1200 nm and 1300 nm. This dete...
{"title":"Determination of wavelength candidates for non-invasive hemoglobin measurement devices and energy spectrum analysis","authors":"Umu Nasiba, R. P. Jenie, Irzaman, H. Alatas","doi":"10.1063/1.5139801","DOIUrl":"https://doi.org/10.1063/1.5139801","url":null,"abstract":"Hemoglobin (Hb) is an important parameter in human medical treatment. At present, hemoglobin level is measured by invasive method. This method require blood sample, less accurate and the result can be delayed. So that, human hemoglobin spectrophotometry characterization research to obtain a spectrophotometric spectrum in the development of non-invasive hemoglobin measuring devices is needed. The advantages of non-invasive method are do not require blood samples, high accuracy, painless, and allow for quick. Hemoglobin level measurement in non-invasive method can be done by measuring light absorption at different wavelengths. This non-invasive device needs appropriate LED wavelength to detect the level of hemoglobin. Hemoglobin is the dominant absorbent at 800-1600 nm. This experiment used near infrared (NIR) spectrum analysis in 1000-2500 nm. The result of this experiment is the candidates for LED wavelength that can be used in non-invasive hemoglobin measurement devices are 1200 nm and 1300 nm. This determination is based on the lowest standard deviation value at 1293 nm, the highest correlation value at a wavelength of 1266 nm, and is in the near infrared region vibration of C-H functional group at the 3rd energy level, 1252 nm in harmonic vibration. At a wavelength of 1200 nm and 1300 nm it shows low infrared absorption. It shows that non-invasive hemoglobin measuring devices that use an infrared reflectance sensor can be used.Hemoglobin (Hb) is an important parameter in human medical treatment. At present, hemoglobin level is measured by invasive method. This method require blood sample, less accurate and the result can be delayed. So that, human hemoglobin spectrophotometry characterization research to obtain a spectrophotometric spectrum in the development of non-invasive hemoglobin measuring devices is needed. The advantages of non-invasive method are do not require blood samples, high accuracy, painless, and allow for quick. Hemoglobin level measurement in non-invasive method can be done by measuring light absorption at different wavelengths. This non-invasive device needs appropriate LED wavelength to detect the level of hemoglobin. Hemoglobin is the dominant absorbent at 800-1600 nm. This experiment used near infrared (NIR) spectrum analysis in 1000-2500 nm. The result of this experiment is the candidates for LED wavelength that can be used in non-invasive hemoglobin measurement devices are 1200 nm and 1300 nm. This dete...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"46 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":"116666847","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}
Credit risk is a potential loss caused by the inability of the debtor to the obligations of debt repayment of either principal or interest debt or both. The classification of credit risk in the financial sector has an essential role in mapping the consumer risk. The wrong classification raises chain effects such as the emergence of bad credit, disruption of financial stability, which lead to banking losses. Classification in credit risk categories the customer loan into two types, good payers or bad payers (default). The aim of this research is to classify consumer’s risk to minimize the risk of default. In the past decades, credit scoring using parametric techniques has been applied in the financial field, namely Discriminant Analysis and Binary Logistic Regression. In the last two decades, the non-parametric machine learning approaches, such as Neural Network and Support Vector Machine. Recently, Deep Learning era has been studied widely in credit scoring, like Deep Neural Network. This study is comparing the performance of several methods of non-parametric machine learning and parametric statistics to classify customer loans. Best method to classify customer loan is DNN with number of neuron in h1 = 10, h2 = 3 with value of AUC is 0.638 in testing dataset.Credit risk is a potential loss caused by the inability of the debtor to the obligations of debt repayment of either principal or interest debt or both. The classification of credit risk in the financial sector has an essential role in mapping the consumer risk. The wrong classification raises chain effects such as the emergence of bad credit, disruption of financial stability, which lead to banking losses. Classification in credit risk categories the customer loan into two types, good payers or bad payers (default). The aim of this research is to classify consumer’s risk to minimize the risk of default. In the past decades, credit scoring using parametric techniques has been applied in the financial field, namely Discriminant Analysis and Binary Logistic Regression. In the last two decades, the non-parametric machine learning approaches, such as Neural Network and Support Vector Machine. Recently, Deep Learning era has been studied widely in credit scoring, like Deep Neural Network. This study is compari...
{"title":"Credit scoring to classify consumer loan using machine learning","authors":"Azaria Natasha, D. Prastyo, Suhartono","doi":"10.1063/1.5139802","DOIUrl":"https://doi.org/10.1063/1.5139802","url":null,"abstract":"Credit risk is a potential loss caused by the inability of the debtor to the obligations of debt repayment of either principal or interest debt or both. The classification of credit risk in the financial sector has an essential role in mapping the consumer risk. The wrong classification raises chain effects such as the emergence of bad credit, disruption of financial stability, which lead to banking losses. Classification in credit risk categories the customer loan into two types, good payers or bad payers (default). The aim of this research is to classify consumer’s risk to minimize the risk of default. In the past decades, credit scoring using parametric techniques has been applied in the financial field, namely Discriminant Analysis and Binary Logistic Regression. In the last two decades, the non-parametric machine learning approaches, such as Neural Network and Support Vector Machine. Recently, Deep Learning era has been studied widely in credit scoring, like Deep Neural Network. This study is comparing the performance of several methods of non-parametric machine learning and parametric statistics to classify customer loans. Best method to classify customer loan is DNN with number of neuron in h1 = 10, h2 = 3 with value of AUC is 0.638 in testing dataset.Credit risk is a potential loss caused by the inability of the debtor to the obligations of debt repayment of either principal or interest debt or both. The classification of credit risk in the financial sector has an essential role in mapping the consumer risk. The wrong classification raises chain effects such as the emergence of bad credit, disruption of financial stability, which lead to banking losses. Classification in credit risk categories the customer loan into two types, good payers or bad payers (default). The aim of this research is to classify consumer’s risk to minimize the risk of default. In the past decades, credit scoring using parametric techniques has been applied in the financial field, namely Discriminant Analysis and Binary Logistic Regression. In the last two decades, the non-parametric machine learning approaches, such as Neural Network and Support Vector Machine. Recently, Deep Learning era has been studied widely in credit scoring, like Deep Neural Network. This study is compari...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"17 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":"114939517","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}
Hepatitis B and C continue to be the world challenging problems. The results of currently available treatments with antiviral medications and interferon-based therapy have not been satisfactory and the numbers of newly acquired infection continue to increase. This situation has prompted investigations into novel approaches to decrease the mortality and morbidity of those suffering from hepatitis B and C. The dynamics of regulatory T cells (Tregs) in various stages of the illness have been reported in previous studies. It has been asserted that Tregs may have important roles in sustaining the viral persistence and preventing liver damage although the comprehensive mechanisms of hepatitis immunity mediated by Tregs are not well understood. To understand the immunobiology of regulatory T cells in hepatitis B and hepatitis C, we reviewed original research articles available from online databases. We found that in hepatitis B, Tregs development is influenced by plasmacytoid dendritic cells, soluble heat shock protein (HSP)-60, and toll-like receptor (TLR) 2/4 signaling. Tumor growth factor (TGF)-β, indoleamine 2,3-dioxygenase (IDO), Tim-3/Gal-9 interactions, toll-like receptor (TLR)-2 stimulation, Notch signaling, HCV-induced miR146a, and contact with dendritic cells or B cells promote Tregs development and activation in hepatitis C. Tregs inhibit the function of cytotoxic T cells in HBV-infected livers whereas interleukin (IL)-8 produced by intrahepatic Tregs contributes to Tregs’ role as the regulator of fibrogenesis in chronic hepatitis C. This present paper reports the significance of Tregs in hepatitis B and C as well as their development and suppression in the context of HBV and HCV infection.Hepatitis B and C continue to be the world challenging problems. The results of currently available treatments with antiviral medications and interferon-based therapy have not been satisfactory and the numbers of newly acquired infection continue to increase. This situation has prompted investigations into novel approaches to decrease the mortality and morbidity of those suffering from hepatitis B and C. The dynamics of regulatory T cells (Tregs) in various stages of the illness have been reported in previous studies. It has been asserted that Tregs may have important roles in sustaining the viral persistence and preventing liver damage although the comprehensive mechanisms of hepatitis immunity mediated by Tregs are not well understood. To understand the immunobiology of regulatory T cells in hepatitis B and hepatitis C, we reviewed original research articles available from online databases. We found that in hepatitis B, Tregs development is influenced by plasmacytoid dendritic cells, soluble heat shock ...
{"title":"The immunobiology of regulatory T cells in hepatitis B and C","authors":"T. Susilawati, A. Permata, S. Setyawan","doi":"10.1063/1.5139853","DOIUrl":"https://doi.org/10.1063/1.5139853","url":null,"abstract":"Hepatitis B and C continue to be the world challenging problems. The results of currently available treatments with antiviral medications and interferon-based therapy have not been satisfactory and the numbers of newly acquired infection continue to increase. This situation has prompted investigations into novel approaches to decrease the mortality and morbidity of those suffering from hepatitis B and C. The dynamics of regulatory T cells (Tregs) in various stages of the illness have been reported in previous studies. It has been asserted that Tregs may have important roles in sustaining the viral persistence and preventing liver damage although the comprehensive mechanisms of hepatitis immunity mediated by Tregs are not well understood. To understand the immunobiology of regulatory T cells in hepatitis B and hepatitis C, we reviewed original research articles available from online databases. We found that in hepatitis B, Tregs development is influenced by plasmacytoid dendritic cells, soluble heat shock protein (HSP)-60, and toll-like receptor (TLR) 2/4 signaling. Tumor growth factor (TGF)-β, indoleamine 2,3-dioxygenase (IDO), Tim-3/Gal-9 interactions, toll-like receptor (TLR)-2 stimulation, Notch signaling, HCV-induced miR146a, and contact with dendritic cells or B cells promote Tregs development and activation in hepatitis C. Tregs inhibit the function of cytotoxic T cells in HBV-infected livers whereas interleukin (IL)-8 produced by intrahepatic Tregs contributes to Tregs’ role as the regulator of fibrogenesis in chronic hepatitis C. This present paper reports the significance of Tregs in hepatitis B and C as well as their development and suppression in the context of HBV and HCV infection.Hepatitis B and C continue to be the world challenging problems. The results of currently available treatments with antiviral medications and interferon-based therapy have not been satisfactory and the numbers of newly acquired infection continue to increase. This situation has prompted investigations into novel approaches to decrease the mortality and morbidity of those suffering from hepatitis B and C. The dynamics of regulatory T cells (Tregs) in various stages of the illness have been reported in previous studies. It has been asserted that Tregs may have important roles in sustaining the viral persistence and preventing liver damage although the comprehensive mechanisms of hepatitis immunity mediated by Tregs are not well understood. To understand the immunobiology of regulatory T cells in hepatitis B and hepatitis C, we reviewed original research articles available from online databases. We found that in hepatitis B, Tregs development is influenced by plasmacytoid dendritic cells, soluble heat shock ...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"82 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":"115205172","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}
I. M. Hakim, Givanny Permata Sari, Aloysia Elva Ardina
Food is a necessity that must be met at all times. As it is known that fertilizer is one of the main factors in the success of food security in Indonesia. Currently, the government is targeting food self-sufficiency in 2017 that requires harvesting capability at least twice a year in the area of paddy fields in Indonesia. To meet the fertilizer needs in Indonesia, the whole fertilizer industry must continue to improve its production. In the fertilizer industry studied, there is a problem in the production section, where the industry is not able to meet the demand for urea fertilizer which in fact is the industry’s flagship product. The inability to meet this demand resulted in insufficient revenue to be achieved. In this research, urea fertilizer production planning with Material Requirement Planning (MRP) method, Mixed Integer Linear Programming (MILP), and forecasting is planned. The results of this study indicate that the appropriate MRP method to be used as production planning in the fertilizer industry is Lot-For-Lot (LFL) and the most accurate demand forecasting method and according to the demand trend of urea is Artificial Neural Network (ANN). Furthermore, the total cost that is spent by the fertilizer industry is decreasing into Rp. 55.334.120,- or decreased by 5,15% from the previous one.
{"title":"Development mathematics model production planning of urea fertilizer to minimize production cost with mixed integer linear programming (MILP)","authors":"I. M. Hakim, Givanny Permata Sari, Aloysia Elva Ardina","doi":"10.1063/1.5139768","DOIUrl":"https://doi.org/10.1063/1.5139768","url":null,"abstract":"Food is a necessity that must be met at all times. As it is known that fertilizer is one of the main factors in the success of food security in Indonesia. Currently, the government is targeting food self-sufficiency in 2017 that requires harvesting capability at least twice a year in the area of paddy fields in Indonesia. To meet the fertilizer needs in Indonesia, the whole fertilizer industry must continue to improve its production. In the fertilizer industry studied, there is a problem in the production section, where the industry is not able to meet the demand for urea fertilizer which in fact is the industry’s flagship product. The inability to meet this demand resulted in insufficient revenue to be achieved. In this research, urea fertilizer production planning with Material Requirement Planning (MRP) method, Mixed Integer Linear Programming (MILP), and forecasting is planned. The results of this study indicate that the appropriate MRP method to be used as production planning in the fertilizer industry is Lot-For-Lot (LFL) and the most accurate demand forecasting method and according to the demand trend of urea is Artificial Neural Network (ANN). Furthermore, the total cost that is spent by the fertilizer industry is decreasing into Rp. 55.334.120,- or decreased by 5,15% from the previous one.","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":"129357194","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}
This research tested 35 high school biology teachers in Surakarta, Indonesia aims to check their perceptions about teaching biology, and analyzed their PCK profiles. Respondents were public and private schools’ teachers who voluntary agreed to join the survey. A multiple-choice test developed based on the indicators of PCK was used to explore teacher’s perceptions. The results showed that 77.14% of teachers preferred to use a kinesthetic teaching strategy, focus on measuring the lower and higher thinking skills (51.43%), and 80% teachers eager to train conceptual understanding and its application instead of preparation for the high stakes examination.This research tested 35 high school biology teachers in Surakarta, Indonesia aims to check their perceptions about teaching biology, and analyzed their PCK profiles. Respondents were public and private schools’ teachers who voluntary agreed to join the survey. A multiple-choice test developed based on the indicators of PCK was used to explore teacher’s perceptions. The results showed that 77.14% of teachers preferred to use a kinesthetic teaching strategy, focus on measuring the lower and higher thinking skills (51.43%), and 80% teachers eager to train conceptual understanding and its application instead of preparation for the high stakes examination.
{"title":"How do you teach? Teachers’ perceptions on teaching biology and pedagogical content knowledge skills","authors":"M. Ramli, P. Karyanto, Siti Wulandari","doi":"10.1063/1.5139832","DOIUrl":"https://doi.org/10.1063/1.5139832","url":null,"abstract":"This research tested 35 high school biology teachers in Surakarta, Indonesia aims to check their perceptions about teaching biology, and analyzed their PCK profiles. Respondents were public and private schools’ teachers who voluntary agreed to join the survey. A multiple-choice test developed based on the indicators of PCK was used to explore teacher’s perceptions. The results showed that 77.14% of teachers preferred to use a kinesthetic teaching strategy, focus on measuring the lower and higher thinking skills (51.43%), and 80% teachers eager to train conceptual understanding and its application instead of preparation for the high stakes examination.This research tested 35 high school biology teachers in Surakarta, Indonesia aims to check their perceptions about teaching biology, and analyzed their PCK profiles. Respondents were public and private schools’ teachers who voluntary agreed to join the survey. A multiple-choice test developed based on the indicators of PCK was used to explore teacher’s perceptions. The results showed that 77.14% of teachers preferred to use a kinesthetic teaching strategy, focus on measuring the lower and higher thinking skills (51.43%), and 80% teachers eager to train conceptual understanding and its application instead of preparation for the high stakes examination.","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"49 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":"127252728","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}
Computational Thinking (CT) has been defined as an important skill for students to have in learning, both from early childhood to college. Besides, computational thinking has a correlates with Taxonomy Bloom. Bloom’s Taxonomy is the basis of learning in Indonesia, so computational thinking needs to be developed further because it is relevant to learning in Indonesia. Computational thinking skills include thinking logically, analyzing the problem-solving process, and evaluating. One tool that can facilitate CT skills is Robotics. In the industrial revolution 4.0, educational robotics became an innovation. Robotics in learning can provide many benefits and motivate students. Then, a systematic literature review is conducted which analyzes previous studies to find information about benefit using robotics based learning and at the level of students’ computational thinking. In the end there are several findings, namely (1) the influence of Computational Thinking Skill in education; (2) the effectiveness of robot-based learning; (3) robotics-based learning can facilitate the development of CT skills in students; (4) robotics-based learning activity design to support computational thinking in early childhood.Computational Thinking (CT) has been defined as an important skill for students to have in learning, both from early childhood to college. Besides, computational thinking has a correlates with Taxonomy Bloom. Bloom’s Taxonomy is the basis of learning in Indonesia, so computational thinking needs to be developed further because it is relevant to learning in Indonesia. Computational thinking skills include thinking logically, analyzing the problem-solving process, and evaluating. One tool that can facilitate CT skills is Robotics. In the industrial revolution 4.0, educational robotics became an innovation. Robotics in learning can provide many benefits and motivate students. Then, a systematic literature review is conducted which analyzes previous studies to find information about benefit using robotics based learning and at the level of students’ computational thinking. In the end there are several findings, namely (1) the influence of Computational Thinking Skill in education; (2) the effectiveness of rob...
{"title":"Robotics-based learning to support computational thinking skills in early childhood","authors":"Ratih Isnaini, C. Budiyanto, I. Widiastuti","doi":"10.1063/1.5139776","DOIUrl":"https://doi.org/10.1063/1.5139776","url":null,"abstract":"Computational Thinking (CT) has been defined as an important skill for students to have in learning, both from early childhood to college. Besides, computational thinking has a correlates with Taxonomy Bloom. Bloom’s Taxonomy is the basis of learning in Indonesia, so computational thinking needs to be developed further because it is relevant to learning in Indonesia. Computational thinking skills include thinking logically, analyzing the problem-solving process, and evaluating. One tool that can facilitate CT skills is Robotics. In the industrial revolution 4.0, educational robotics became an innovation. Robotics in learning can provide many benefits and motivate students. Then, a systematic literature review is conducted which analyzes previous studies to find information about benefit using robotics based learning and at the level of students’ computational thinking. In the end there are several findings, namely (1) the influence of Computational Thinking Skill in education; (2) the effectiveness of robot-based learning; (3) robotics-based learning can facilitate the development of CT skills in students; (4) robotics-based learning activity design to support computational thinking in early childhood.Computational Thinking (CT) has been defined as an important skill for students to have in learning, both from early childhood to college. Besides, computational thinking has a correlates with Taxonomy Bloom. Bloom’s Taxonomy is the basis of learning in Indonesia, so computational thinking needs to be developed further because it is relevant to learning in Indonesia. Computational thinking skills include thinking logically, analyzing the problem-solving process, and evaluating. One tool that can facilitate CT skills is Robotics. In the industrial revolution 4.0, educational robotics became an innovation. Robotics in learning can provide many benefits and motivate students. Then, a systematic literature review is conducted which analyzes previous studies to find information about benefit using robotics based learning and at the level of students’ computational thinking. In the end there are several findings, namely (1) the influence of Computational Thinking Skill in education; (2) the effectiveness of rob...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"74 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":"126758202","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}
Intan Mustika Noor Sasono Putri, Sarwanto, Sukarmin
This research aimed to find out the representation of Madrasah Aliyah (MAN) teachers’ understanding on inquiry learning set based on level of inquiry. The research method employed was descriptive one with the subject of research consisting of 5 physics teachers in three MANs in Sragen City, taken using random sampling technique. The instrument of research used was learning questionnaire to see the learning set based on level of inquiry developed by teacher and document study of learning set. Data analysis was conducted by categorizing and presenting the result of teachers’ questionnaire. The result of research showed that teachers’ understanding related to the development of inquiring learning set is varying in each level of inquiry. From the percentage of each level, it can be found out that 100% of teachers have understood and used discovery learning, interactive demonstration, inquiry lesson learning models, 80% have understood and used guided inquiry lab, 30% bounded inquiry lab, 20% free inquiry lab, 40% Pure hypothetical inquiry, and 30% applied hypothetical inquiry. It indicated that some teachers have not understood the level of inquiry and find some constraints with the development of inquiry-based set. Teachers needed reference and facilitation activity in developing learning set based on level of inquiry, so that in the future inquiry activity can run chronologically corresponding to the level of inquiry.This research aimed to find out the representation of Madrasah Aliyah (MAN) teachers’ understanding on inquiry learning set based on level of inquiry. The research method employed was descriptive one with the subject of research consisting of 5 physics teachers in three MANs in Sragen City, taken using random sampling technique. The instrument of research used was learning questionnaire to see the learning set based on level of inquiry developed by teacher and document study of learning set. Data analysis was conducted by categorizing and presenting the result of teachers’ questionnaire. The result of research showed that teachers’ understanding related to the development of inquiring learning set is varying in each level of inquiry. From the percentage of each level, it can be found out that 100% of teachers have understood and used discovery learning, interactive demonstration, inquiry lesson learning models, 80% have understood and used guided inquiry lab, 30% bounded inquiry lab, 20% free inquiry lab,...
{"title":"The profile of teachers’ problem related to inquiry learning set based on level of inquiry in physics learning in Madrasah Aliyah (MAN)","authors":"Intan Mustika Noor Sasono Putri, Sarwanto, Sukarmin","doi":"10.1063/1.5139823","DOIUrl":"https://doi.org/10.1063/1.5139823","url":null,"abstract":"This research aimed to find out the representation of Madrasah Aliyah (MAN) teachers’ understanding on inquiry learning set based on level of inquiry. The research method employed was descriptive one with the subject of research consisting of 5 physics teachers in three MANs in Sragen City, taken using random sampling technique. The instrument of research used was learning questionnaire to see the learning set based on level of inquiry developed by teacher and document study of learning set. Data analysis was conducted by categorizing and presenting the result of teachers’ questionnaire. The result of research showed that teachers’ understanding related to the development of inquiring learning set is varying in each level of inquiry. From the percentage of each level, it can be found out that 100% of teachers have understood and used discovery learning, interactive demonstration, inquiry lesson learning models, 80% have understood and used guided inquiry lab, 30% bounded inquiry lab, 20% free inquiry lab, 40% Pure hypothetical inquiry, and 30% applied hypothetical inquiry. It indicated that some teachers have not understood the level of inquiry and find some constraints with the development of inquiry-based set. Teachers needed reference and facilitation activity in developing learning set based on level of inquiry, so that in the future inquiry activity can run chronologically corresponding to the level of inquiry.This research aimed to find out the representation of Madrasah Aliyah (MAN) teachers’ understanding on inquiry learning set based on level of inquiry. The research method employed was descriptive one with the subject of research consisting of 5 physics teachers in three MANs in Sragen City, taken using random sampling technique. The instrument of research used was learning questionnaire to see the learning set based on level of inquiry developed by teacher and document study of learning set. Data analysis was conducted by categorizing and presenting the result of teachers’ questionnaire. The result of research showed that teachers’ understanding related to the development of inquiring learning set is varying in each level of inquiry. From the percentage of each level, it can be found out that 100% of teachers have understood and used discovery learning, interactive demonstration, inquiry lesson learning models, 80% have understood and used guided inquiry lab, 30% bounded inquiry lab, 20% free inquiry lab,...","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"58 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":"115043634","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}
Augmented Reality Technology has been widely applied in various fields, one of which is in the development of Ecology Augmented Reality (ECO AR) learning media that applies augmented reality technology. The used model in development is 4D. This research has reached the first 3 stages, namely Define, Design, and Develop. The results of the assessment of material experts, media experts, augmented reality experts, and visual spatial experts obtained ECO AR media quality scores of 89% in the very good category. Score results of student responses when using the ECO AR media obtained 85% in the very good category. Based on the assessment of the experts and limited trials on students, it was concluded that the media was suitable for use in learning.Augmented Reality Technology has been widely applied in various fields, one of which is in the development of Ecology Augmented Reality (ECO AR) learning media that applies augmented reality technology. The used model in development is 4D. This research has reached the first 3 stages, namely Define, Design, and Develop. The results of the assessment of material experts, media experts, augmented reality experts, and visual spatial experts obtained ECO AR media quality scores of 89% in the very good category. Score results of student responses when using the ECO AR media obtained 85% in the very good category. Based on the assessment of the experts and limited trials on students, it was concluded that the media was suitable for use in learning.
{"title":"The development of ECO AR learning media based on augmented reality technology on the topic of ecosystem","authors":"Rizki Agung Sambodo, B. Prayitno, P. Karyanto","doi":"10.1063/1.5139840","DOIUrl":"https://doi.org/10.1063/1.5139840","url":null,"abstract":"Augmented Reality Technology has been widely applied in various fields, one of which is in the development of Ecology Augmented Reality (ECO AR) learning media that applies augmented reality technology. The used model in development is 4D. This research has reached the first 3 stages, namely Define, Design, and Develop. The results of the assessment of material experts, media experts, augmented reality experts, and visual spatial experts obtained ECO AR media quality scores of 89% in the very good category. Score results of student responses when using the ECO AR media obtained 85% in the very good category. Based on the assessment of the experts and limited trials on students, it was concluded that the media was suitable for use in learning.Augmented Reality Technology has been widely applied in various fields, one of which is in the development of Ecology Augmented Reality (ECO AR) learning media that applies augmented reality technology. The used model in development is 4D. This research has reached the first 3 stages, namely Define, Design, and Develop. The results of the assessment of material experts, media experts, augmented reality experts, and visual spatial experts obtained ECO AR media quality scores of 89% in the very good category. Score results of student responses when using the ECO AR media obtained 85% in the very good category. Based on the assessment of the experts and limited trials on students, it was concluded that the media was suitable for use in learning.","PeriodicalId":246056,"journal":{"name":"THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION","volume":"12 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":"115151325","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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