Pub Date : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065847
Azizah Rahmad, Y. Herdiyeni, A. Buono, S. Douady
This research proposed a new model to differentiate leaf venation topology patterns using Multiscale Fractal Dimension. Identification of medicinal plants is important considering wide range of biodiversity in Indonesia and significant role of medicinal plants in Indonesia. Plants identification can be performed with shape analysis using plant leaf venation as a feature. Multiscale Fractal Dimension is a shape analysis method that analyze shapes through its complexity. In this research three Indonesian medicinal plants species has their leaf venation topologies modelled with Multiscale Fractal Dimension. The result shows that while the difference is not remarkably clear, there are irregularities that can be made more evident with multiscale analysis. Future works can include Multiscale Fractal Dimension as one technique to identify plants.
{"title":"Multiscale fractal dimension modelling on leaf venation topology pattern of Indonesian medicinal plants","authors":"Azizah Rahmad, Y. Herdiyeni, A. Buono, S. Douady","doi":"10.1109/ICACSIS.2014.7065847","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065847","url":null,"abstract":"This research proposed a new model to differentiate leaf venation topology patterns using Multiscale Fractal Dimension. Identification of medicinal plants is important considering wide range of biodiversity in Indonesia and significant role of medicinal plants in Indonesia. Plants identification can be performed with shape analysis using plant leaf venation as a feature. Multiscale Fractal Dimension is a shape analysis method that analyze shapes through its complexity. In this research three Indonesian medicinal plants species has their leaf venation topologies modelled with Multiscale Fractal Dimension. The result shows that while the difference is not remarkably clear, there are irregularities that can be made more evident with multiscale analysis. Future works can include Multiscale Fractal Dimension as one technique to identify plants.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131537500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065899
T. Jap, Sri Tiatri
Psychology is the science of human behavior and mental processes. Meanwhile, Information Systems is the implementation of application-based digital communications and computing technologies. Studies in the field of Information Systems can be of an application development in the specific areas that are not always necessarily related to the ICT discipline. This study aims to describe a relationship between the Information System and Psychology in a case study of cultural preservation efforts in traditional batik at Lasem, Central Java. Research methods and data analysis were developed through an integrated approach from two different fields of disciplines. Data collection involved geo-tagging, observation, and in-depth interviews with 15 participants at six Lasem batik houses. Data processing carried out by combining the concept of Information Systems specifically about Geographical Information System (GIS) and Psychology in particular about educational psychology. The results showed the way it is done with this approach produced more comprehensive elucidation of how cultural preservation efforts happened in Lasem's batik The model of this approach is recommended as one of the research method in the discipline of Information Systems.
{"title":"How Psychology engaged with information systems: The case study of using GIS as instrument for preserving Javanese culture in a traditional coastal batik, Indonesia","authors":"T. Jap, Sri Tiatri","doi":"10.1109/ICACSIS.2014.7065899","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065899","url":null,"abstract":"Psychology is the science of human behavior and mental processes. Meanwhile, Information Systems is the implementation of application-based digital communications and computing technologies. Studies in the field of Information Systems can be of an application development in the specific areas that are not always necessarily related to the ICT discipline. This study aims to describe a relationship between the Information System and Psychology in a case study of cultural preservation efforts in traditional batik at Lasem, Central Java. Research methods and data analysis were developed through an integrated approach from two different fields of disciplines. Data collection involved geo-tagging, observation, and in-depth interviews with 15 participants at six Lasem batik houses. Data processing carried out by combining the concept of Information Systems specifically about Geographical Information System (GIS) and Psychology in particular about educational psychology. The results showed the way it is done with this approach produced more comprehensive elucidation of how cultural preservation efforts happened in Lasem's batik The model of this approach is recommended as one of the research method in the discipline of Information Systems.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130435124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065837
Murein Miksa Mardhia, A. Langi, Y. Bandung
This research examines how to develop a Knowledge Management System (KMS) which implements the question-based method in lesson study. Lesson study activity which has been running were not documented well, whereas its benefits are very good to encourage teachers' quality in learning activities. Question-based method applied is evaluation / assessment process that aims to engage teachers to contribute knowledge in lessons. This method also being used to evaluate teachers' learning after every period of lesson study activity ended. It gives questions from a knowledge base in the stages of the assessment process. Teachers' role is giving answer to each question and contributing an original work in the form of teaching materials, questions, and also giving feedback for each material presented in the system. Experiments are conducted through User Experience (User Feedback) and Expert Judgment. Results obtained from this research is a proposed architecture for knowledge management system and its recommendations for improvement.
{"title":"Knowledge management system development with evaluation method in lesson study activity","authors":"Murein Miksa Mardhia, A. Langi, Y. Bandung","doi":"10.1109/ICACSIS.2014.7065837","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065837","url":null,"abstract":"This research examines how to develop a Knowledge Management System (KMS) which implements the question-based method in lesson study. Lesson study activity which has been running were not documented well, whereas its benefits are very good to encourage teachers' quality in learning activities. Question-based method applied is evaluation / assessment process that aims to engage teachers to contribute knowledge in lessons. This method also being used to evaluate teachers' learning after every period of lesson study activity ended. It gives questions from a knowledge base in the stages of the assessment process. Teachers' role is giving answer to each question and contributing an original work in the form of teaching materials, questions, and also giving feedback for each material presented in the system. Experiments are conducted through User Experience (User Feedback) and Expert Judgment. Results obtained from this research is a proposed architecture for knowledge management system and its recommendations for improvement.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129935251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065864
I. A. Soenandi, Taufik Djatna
This paper presents a new approach of a Real Time Simulation (RTS) to model the Glycerol Esterification (GE) production system with Self Optimization(SO). The quality and capacity of production GE are the factors that need to monitor and control. In this model, we deployed BPMN to analyze and design the requirement and used data acquisition system with real time sensor. Real-time data acquisition by optical sensors acquired several quality parameters such as viscosity, pH, purity and density which was interfaced to a SQL database. The model of self-optimization for quality surveillance was based on previous Wagels (2012) work. The experiments showed that the evaluation of the system performance was operatable to optimize a range of parameter esterification with Oleic Acid in producing Glycerol Mono Oleate (GMO) such as temperature between at range of 240-260 °C, baffle rotation speed between at range 300-400 RPM and volume at range 25-30 L for each batch. The previous works only set in a fixed value at 250 °C, 350 RPM and 24L. In future work, it is recommended to accelerate the whole process including to re-structure the real time data acquisition system.
{"title":"A real time simulation model of production system of Glycerol Esterification with self optimization","authors":"I. A. Soenandi, Taufik Djatna","doi":"10.1109/ICACSIS.2014.7065864","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065864","url":null,"abstract":"This paper presents a new approach of a Real Time Simulation (RTS) to model the Glycerol Esterification (GE) production system with Self Optimization(SO). The quality and capacity of production GE are the factors that need to monitor and control. In this model, we deployed BPMN to analyze and design the requirement and used data acquisition system with real time sensor. Real-time data acquisition by optical sensors acquired several quality parameters such as viscosity, pH, purity and density which was interfaced to a SQL database. The model of self-optimization for quality surveillance was based on previous Wagels (2012) work. The experiments showed that the evaluation of the system performance was operatable to optimize a range of parameter esterification with Oleic Acid in producing Glycerol Mono Oleate (GMO) such as temperature between at range of 240-260 °C, baffle rotation speed between at range 300-400 RPM and volume at range 25-30 L for each batch. The previous works only set in a fixed value at 250 °C, 350 RPM and 24L. In future work, it is recommended to accelerate the whole process including to re-structure the real time data acquisition system.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123679844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065820
Denny
Organizations need knowledge of change, such as changes in customer purchasing behaviour, to adapt business strategies in response to changing circumstances. To understand what has changed, analysts have to be able to relate new knowledge acquired from a newer dataset to that acquired from an earlier dataset. This paper presents a method to detect changes in clustering structure over time. Discovering clustering changes can also be applied in other contexts, such as fraud detection and customer attrition analysis. The key contribution of this paper is the enhancement of the measurement of relative density using SOM. This measurement is used in the visualization method called Relative Density Self-Organizing Map (ReDSOM) to compare clustering structures from two snapshot datasets. This visualization provide means for analysts to visually identify and analyze various changes in the clustering structure, such as emerging clusters, disappearing clusters, splitting clusters, and merging clusters. These contributions have been evaluated using synthetic datasets, as well as real-life datasets from the World Bank. Experiments showed that the new measure is more sensitive in detecting changes in density.
{"title":"Relative density estimation using Self-Organizing Maps","authors":"Denny","doi":"10.1109/ICACSIS.2014.7065820","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065820","url":null,"abstract":"Organizations need knowledge of change, such as changes in customer purchasing behaviour, to adapt business strategies in response to changing circumstances. To understand what has changed, analysts have to be able to relate new knowledge acquired from a newer dataset to that acquired from an earlier dataset. This paper presents a method to detect changes in clustering structure over time. Discovering clustering changes can also be applied in other contexts, such as fraud detection and customer attrition analysis. The key contribution of this paper is the enhancement of the measurement of relative density using SOM. This measurement is used in the visualization method called Relative Density Self-Organizing Map (ReDSOM) to compare clustering structures from two snapshot datasets. This visualization provide means for analysts to visually identify and analyze various changes in the clustering structure, such as emerging clusters, disappearing clusters, splitting clusters, and merging clusters. These contributions have been evaluated using synthetic datasets, as well as real-life datasets from the World Bank. Experiments showed that the new measure is more sensitive in detecting changes in density.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127367345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065872
M. R. Shihab, Febriana Misdianti
E-commerce industry in Indonesia has grown rapidly since 2012. This development is also in line with the number of transactions that uses credit cards. Unfortunately, this phenomenon is followed by credit card frauds as well. Therefore, there is an urge for a standard to be used as a main reference in protecting the security of information. Visa and MasterCard have issued an international standard to ensure the security of credit card data, namely, PCI DSS. It emphasizes the importance of protecting cardholder information in one's daily business processes. On December 2013, the latest version of this standard was released, and brought about difficulties, even to those organizations that are already compliant to previous versions of the same standard. The aim of this research is to be able to identify the changes brought about by the latest PCI DSS, namely, version 3.0. Furthermore, this research is intended to implement that very standard to measure an organization's compliance level. This research uses a case study approach in Indonesia largest company in online payment services. The results of this research are the summation of 182 new controls that are simplified for use by organizations that have complied with PCI DSS 2.0 and are preparing for PCI DSS 3.0. Additionally, we found that Company X, the object of our case study, is compliant towards 77.43% of PCI DSS 3.0 requirements. Payment card industry data security standard is considered at its earlier stages. We believe that this research is one of the first in observing the changes brought about by PCI DSS 3.0 as well as in implementing it to measure an organization's compliance level.
{"title":"Moving towards PCI DSS 3.0 compliance: A case study of credit card data security audit in an online payment company","authors":"M. R. Shihab, Febriana Misdianti","doi":"10.1109/ICACSIS.2014.7065872","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065872","url":null,"abstract":"E-commerce industry in Indonesia has grown rapidly since 2012. This development is also in line with the number of transactions that uses credit cards. Unfortunately, this phenomenon is followed by credit card frauds as well. Therefore, there is an urge for a standard to be used as a main reference in protecting the security of information. Visa and MasterCard have issued an international standard to ensure the security of credit card data, namely, PCI DSS. It emphasizes the importance of protecting cardholder information in one's daily business processes. On December 2013, the latest version of this standard was released, and brought about difficulties, even to those organizations that are already compliant to previous versions of the same standard. The aim of this research is to be able to identify the changes brought about by the latest PCI DSS, namely, version 3.0. Furthermore, this research is intended to implement that very standard to measure an organization's compliance level. This research uses a case study approach in Indonesia largest company in online payment services. The results of this research are the summation of 182 new controls that are simplified for use by organizations that have complied with PCI DSS 2.0 and are preparing for PCI DSS 3.0. Additionally, we found that Company X, the object of our case study, is compliant towards 77.43% of PCI DSS 3.0 requirements. Payment card industry data security standard is considered at its earlier stages. We believe that this research is one of the first in observing the changes brought about by PCI DSS 3.0 as well as in implementing it to measure an organization's compliance level.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123070999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065877
Aprinaldi, I. Habibie, R. Rahmatullah, A. Kurniawan, A. Bowolaksono, W. Jatmiko, B. Wiweko
In this paper we present a technique for ellipse detection in digital images based on swarm intelligence algorithm and arc segment combination. The proposed method is then used as embryo quality scoring assessment during the first 24-48 hours since its morphological structure can be approximated by ellipse. The idea of the proposed algorithm are based on combining possible arcs for the ellipse shaped objects and try to find the best combinations using Particle Swarm Optimization technique to find the actual ellipse. The process involves detecting line segments in the image and then followed by arc segment extraction from lines to get potential elliptical arcs. The detection process is then guided by Particle Swarm Optimization (PSO) by utilizing the calculation of the fitness function from the arc segment that had been detected previously. The measurement results of proposed method are then compared with manual measurements. The experiment results were conducted on both synthetic data and real embryo images. Experiment results showed that the proposed method is better than several ellipse detection methods such as RHT, IRHT, and PSORHT to detect ellipses on the image. Another advantage of our proposed algorithm compared to the Hough Transform variants is that it can be used for multiple ellipse detection.
{"title":"ArcPSO: Ellipse detection method using particle swarm optimization and arc combination","authors":"Aprinaldi, I. Habibie, R. Rahmatullah, A. Kurniawan, A. Bowolaksono, W. Jatmiko, B. Wiweko","doi":"10.1109/ICACSIS.2014.7065877","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065877","url":null,"abstract":"In this paper we present a technique for ellipse detection in digital images based on swarm intelligence algorithm and arc segment combination. The proposed method is then used as embryo quality scoring assessment during the first 24-48 hours since its morphological structure can be approximated by ellipse. The idea of the proposed algorithm are based on combining possible arcs for the ellipse shaped objects and try to find the best combinations using Particle Swarm Optimization technique to find the actual ellipse. The process involves detecting line segments in the image and then followed by arc segment extraction from lines to get potential elliptical arcs. The detection process is then guided by Particle Swarm Optimization (PSO) by utilizing the calculation of the fitness function from the arc segment that had been detected previously. The measurement results of proposed method are then compared with manual measurements. The experiment results were conducted on both synthetic data and real embryo images. Experiment results showed that the proposed method is better than several ellipse detection methods such as RHT, IRHT, and PSORHT to detect ellipses on the image. Another advantage of our proposed algorithm compared to the Hough Transform variants is that it can be used for multiple ellipse detection.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122673168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065866
M. R. Shihab, S. Wahyuni, A. Hidayanto
The Internet has been widely applied in the process of buying and selling online, known as e-commerce. Lately, we are seeing substantial growth of e-commerce websites in Indonesia, namely e-marketplace, either in the form of Storefronts, e-Markets, or Virtual Communities. Unfortunately, conducting online transactions carries a negative perception, especially in terms of trust. This research was aimed to formulate a trust presence evaluation tool that is more inclusive of various perspectives in manner. We formulated such evaluation tool from 10 similar studies that were previously conducted. Furthermore, this research also strived to evaluate the portrayal of trust presence in Indonesian e-commerce websites. Through careful observation, we have evaluated trust presence in 100 of Indonesia's top e-commerce websites. The results of this study are the formulation our trust presence evaluation tool, which consists of 9 categories, 29 parameters and 93 indicators. This research also shows site security as the trust presence category that requires the most improvement. Furthermore, Storefronts and E-Markets exhibit trust presence substantially better than that of Virtual Communities.
{"title":"Analysis of trust presence within e-commerce websites: A study of Indonesian e-commerce websites","authors":"M. R. Shihab, S. Wahyuni, A. Hidayanto","doi":"10.1109/ICACSIS.2014.7065866","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065866","url":null,"abstract":"The Internet has been widely applied in the process of buying and selling online, known as e-commerce. Lately, we are seeing substantial growth of e-commerce websites in Indonesia, namely e-marketplace, either in the form of Storefronts, e-Markets, or Virtual Communities. Unfortunately, conducting online transactions carries a negative perception, especially in terms of trust. This research was aimed to formulate a trust presence evaluation tool that is more inclusive of various perspectives in manner. We formulated such evaluation tool from 10 similar studies that were previously conducted. Furthermore, this research also strived to evaluate the portrayal of trust presence in Indonesian e-commerce websites. Through careful observation, we have evaluated trust presence in 100 of Indonesia's top e-commerce websites. The results of this study are the formulation our trust presence evaluation tool, which consists of 9 categories, 29 parameters and 93 indicators. This research also shows site security as the trust presence category that requires the most improvement. Furthermore, Storefronts and E-Markets exhibit trust presence substantially better than that of Virtual Communities.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127693619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065883
R. Rahmatullah, M. A. Ma'sum, Aprinaldi, P. Mursanto, B. Wiweko
Segmentation of fetal organs such as head, femur, and humérus on ultrasound image is one of the challenges in realization of automated system for fetal biometry measurements. Although many methods have been developed to overcome this problem, most of them are generally specific to one organ of the body alone. The research in this paper will focus on a machine learning method that has been available before: multilayer super pixel classification using random forest. The focus of this study is to improve the accuracy by exploring compactness parameter in the formation of super-pixels. In addition, we also add moment image features such as translation, rotation, and scale invariant to improve the segmentation performance. The experimental results showed that the difference in compactness parameters will provide different result for the accuracy, Fl-score, recall, and specificity. The addition of moment features can also improve the performance of image segmentation of fetal organs even though increase was not significant. Fetal head segmentation using proposed method has higher Fl-score and specificity, but lower accuracy and recall compared to previous methods. Whereas fetal femur and humérus segmentation using proposed method has higher accuracy, Fl-score, recall and specificity compared to previous method.
{"title":"Automatic fetal organs segmentation using multilayer super pixel and image moment feature","authors":"R. Rahmatullah, M. A. Ma'sum, Aprinaldi, P. Mursanto, B. Wiweko","doi":"10.1109/ICACSIS.2014.7065883","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065883","url":null,"abstract":"Segmentation of fetal organs such as head, femur, and humérus on ultrasound image is one of the challenges in realization of automated system for fetal biometry measurements. Although many methods have been developed to overcome this problem, most of them are generally specific to one organ of the body alone. The research in this paper will focus on a machine learning method that has been available before: multilayer super pixel classification using random forest. The focus of this study is to improve the accuracy by exploring compactness parameter in the formation of super-pixels. In addition, we also add moment image features such as translation, rotation, and scale invariant to improve the segmentation performance. The experimental results showed that the difference in compactness parameters will provide different result for the accuracy, Fl-score, recall, and specificity. The addition of moment features can also improve the performance of image segmentation of fetal organs even though increase was not significant. Fetal head segmentation using proposed method has higher Fl-score and specificity, but lower accuracy and recall compared to previous methods. Whereas fetal femur and humérus segmentation using proposed method has higher accuracy, Fl-score, recall and specificity compared to previous method.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133628967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-03-23DOI: 10.1109/ICACSIS.2014.7065830
Andika Y. Utomo, Afifa Amriani, Alham Fikri Aji, F. Wahidah, K. Junus
E-Learning has become the solution to overcome the barriers of time and place in conventional learning. However, the conventional e-Learning faces the lack of user engagement to the system, making the interaction within the system not optimal. Gamification concept can be used to diminish less engagement of the participants. Gamified e-Learning provides new way of learning by raising the student's motivation and engagement to the e-Learning system using game elements. This paper aims to propose the gamified e-Learning model based on the Community of Inquiry (Col) model. The gamified e-Learning model in this paper is based on the experiment that compare the learning process within two weeks of simulation using gamified e-Learning system and non-gamified system. This experiment which conducted to high school students in Indonesia shows positive impact of the proposed model. The interviews with the respondent are also held to support the finding.
{"title":"Gamifìed E-Learning model based on Community of Inquiry","authors":"Andika Y. Utomo, Afifa Amriani, Alham Fikri Aji, F. Wahidah, K. Junus","doi":"10.1109/ICACSIS.2014.7065830","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065830","url":null,"abstract":"E-Learning has become the solution to overcome the barriers of time and place in conventional learning. However, the conventional e-Learning faces the lack of user engagement to the system, making the interaction within the system not optimal. Gamification concept can be used to diminish less engagement of the participants. Gamified e-Learning provides new way of learning by raising the student's motivation and engagement to the e-Learning system using game elements. This paper aims to propose the gamified e-Learning model based on the Community of Inquiry (Col) model. The gamified e-Learning model in this paper is based on the experiment that compare the learning process within two weeks of simulation using gamified e-Learning system and non-gamified system. This experiment which conducted to high school students in Indonesia shows positive impact of the proposed model. The interviews with the respondent are also held to support the finding.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129039952","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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