Pub Date : 2021-07-13DOI: 10.1109/ICCOINS49721.2021.9497188
A. Saboor, A. Mahmood, M. Hassan, Syed Nasir Mehmood Shah, Farruk Hassan, M. A. Siddiqui
Cloud computing is a paradigm that has already evolved. Cloud computing moved widely to microservices from monoliths. The modular cloud application has gained attention for Microservices. Intensive network communication is required to call the interdependent microservices operating inside the cloud nodes. This research focuses on container-based microservices pre-distribution techniques and proposes two distribution strategies i.e. design pattern distribution and random distribution. The microservices are arbitrarily distributed to the available data centers in the random allocation method. While the microservices are clustered in the pattern distribution based on behavioral design patterns, which identify common contact patterns between entities. A custom-built modeling environment has been used to evaluate the proposed method. The findings revealed that the pre-distribution of microservices in accordance with the application architecture trend led to substantial less response time for the calls made to services hosted at geographically dispersed data centers.
{"title":"Design Pattern Based Distribution of Microservices in Cloud Computing Environment","authors":"A. Saboor, A. Mahmood, M. Hassan, Syed Nasir Mehmood Shah, Farruk Hassan, M. A. Siddiqui","doi":"10.1109/ICCOINS49721.2021.9497188","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497188","url":null,"abstract":"Cloud computing is a paradigm that has already evolved. Cloud computing moved widely to microservices from monoliths. The modular cloud application has gained attention for Microservices. Intensive network communication is required to call the interdependent microservices operating inside the cloud nodes. This research focuses on container-based microservices pre-distribution techniques and proposes two distribution strategies i.e. design pattern distribution and random distribution. The microservices are arbitrarily distributed to the available data centers in the random allocation method. While the microservices are clustered in the pattern distribution based on behavioral design patterns, which identify common contact patterns between entities. A custom-built modeling environment has been used to evaluate the proposed method. The findings revealed that the pre-distribution of microservices in accordance with the application architecture trend led to substantial less response time for the calls made to services hosted at geographically dispersed data centers.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115804337","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 : 2021-07-13DOI: 10.1109/ICCOINS49721.2021.9497176
H. Goh, Andrew W. Hamilton, Ming-Lee Gan, I. Andonovic
Many cities are migrating from a traditional heavy industry root to a modern knowledge-based economy. Cities with large populations face ever-increasing challenges in terms of a sustainable food supply. Large concentrated populations can no longer depend solely on established food supply chains which are sourced primarily from rural agriculture environments. The paper reports on the development of a solution that enhances food security within large metropoles, through food produced directly in city environments. A number of advantages accrue with urban farming that includes a more efficient distribution and production, when coupled to an intelligent transportation system. The study is in-line with the concept of Sustainable Future Cities, which brings together the integration of various technologies such as the Internet of Things, Big Data, contemporary automation and green engineering to create a future urban landscape that is sustainable, productive, efficient and interconnected.
{"title":"Smart Agriculture with Intelligent Transportation System for Sustainable Future Cities","authors":"H. Goh, Andrew W. Hamilton, Ming-Lee Gan, I. Andonovic","doi":"10.1109/ICCOINS49721.2021.9497176","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497176","url":null,"abstract":"Many cities are migrating from a traditional heavy industry root to a modern knowledge-based economy. Cities with large populations face ever-increasing challenges in terms of a sustainable food supply. Large concentrated populations can no longer depend solely on established food supply chains which are sourced primarily from rural agriculture environments. The paper reports on the development of a solution that enhances food security within large metropoles, through food produced directly in city environments. A number of advantages accrue with urban farming that includes a more efficient distribution and production, when coupled to an intelligent transportation system. The study is in-line with the concept of Sustainable Future Cities, which brings together the integration of various technologies such as the Internet of Things, Big Data, contemporary automation and green engineering to create a future urban landscape that is sustainable, productive, efficient and interconnected.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116297700","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 : 2021-07-13DOI: 10.1109/ICCOINS49721.2021.9497145
H. Tee, S. Liew, C. Wong, B. Ooi
The emergence of e-commerce has increased the demand for fast parcel delivery. In order to service their customers, a logistics company will normally set up a number of outlets in different areas of a city so that the senders can submit their parcels to the nearest outlets. Upon receiving the parcels, logistics company will then sort and send these parcels to the outlets that are close to the recipients. The collection/delivery of parcels between outlets needs a fleet of vehicles, and this problem then can be formulated as a vehicle routing problem. However, most of the existing algorithms proposed to solve vehicle routing problem assume that the travelling time between places are static. This may not be realistic because the traffic in the real world is rather dynamic which causes the travelling time from one place to another varies over time. This affects the accuracy of time-cost estimation for the logistics company during their parcel delivery process. However, the acquisition of accurate time-cost estimation is normally very expensive, and it might not be affordable to logistics company. Thus, this paper will mainly focus on a low-cost solution to effectively scrap, preprocess, and analyze the real traffic data in order to provide route planning algorithms with a set of highly accurate time-cost inputs to improve the accuracy of time-cost estimation for the logistic company. The importance of effective and efficient scraping is also stated as the path provided by real-time traffic map’s website is not optimal when traffic condition is heavier.
{"title":"Cost-Effective Scraping and Processing of Real-time Traffic Data for Route Planning","authors":"H. Tee, S. Liew, C. Wong, B. Ooi","doi":"10.1109/ICCOINS49721.2021.9497145","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497145","url":null,"abstract":"The emergence of e-commerce has increased the demand for fast parcel delivery. In order to service their customers, a logistics company will normally set up a number of outlets in different areas of a city so that the senders can submit their parcels to the nearest outlets. Upon receiving the parcels, logistics company will then sort and send these parcels to the outlets that are close to the recipients. The collection/delivery of parcels between outlets needs a fleet of vehicles, and this problem then can be formulated as a vehicle routing problem. However, most of the existing algorithms proposed to solve vehicle routing problem assume that the travelling time between places are static. This may not be realistic because the traffic in the real world is rather dynamic which causes the travelling time from one place to another varies over time. This affects the accuracy of time-cost estimation for the logistics company during their parcel delivery process. However, the acquisition of accurate time-cost estimation is normally very expensive, and it might not be affordable to logistics company. Thus, this paper will mainly focus on a low-cost solution to effectively scrap, preprocess, and analyze the real traffic data in order to provide route planning algorithms with a set of highly accurate time-cost inputs to improve the accuracy of time-cost estimation for the logistic company. The importance of effective and efficient scraping is also stated as the path provided by real-time traffic map’s website is not optimal when traffic condition is heavier.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127954575","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 : 2021-07-13DOI: 10.1109/ICCOINS49721.2021.9497167
Salehah Omar, J. A. Bakar, Maslinda Mohd Nadzir, N. H. Harun, Nooraini Yusoff
Text Simplification (TS) is one of the directions for recent studies in NLP. The TS aims to rewrite the complicated text into a simpler sentence, which is easier to understand by human and machine. Several applications such as the development of the Simple Wikipedia corpus are derived from those studies. The studies involve a different technique in order to achieve the objective of TS in terms of structure and the meaning of human language. In this paper, we used narrative review as review methodology and highlighted the purpose of TS, TS-user, TS approaches and techniques, datasets, evaluation metrics as well as challenges in formalizing TS in Malay corpus. Promising results are expected for TS in Malay corpus.
{"title":"Text simplification for Malay corpus: A Review","authors":"Salehah Omar, J. A. Bakar, Maslinda Mohd Nadzir, N. H. Harun, Nooraini Yusoff","doi":"10.1109/ICCOINS49721.2021.9497167","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497167","url":null,"abstract":"Text Simplification (TS) is one of the directions for recent studies in NLP. The TS aims to rewrite the complicated text into a simpler sentence, which is easier to understand by human and machine. Several applications such as the development of the Simple Wikipedia corpus are derived from those studies. The studies involve a different technique in order to achieve the objective of TS in terms of structure and the meaning of human language. In this paper, we used narrative review as review methodology and highlighted the purpose of TS, TS-user, TS approaches and techniques, datasets, evaluation metrics as well as challenges in formalizing TS in Malay corpus. Promising results are expected for TS in Malay corpus.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126667406","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 : 2021-07-13DOI: 10.1109/ICCOINS49721.2021.9497144
Danial Ilman Muhammad Hasni, A. Sarlan
This study is conducted to develop a collaborative visualization framework in the cross-field working group. The ultimate goal of this project is to provide a proper framework that can be used to develop a platform to allow collaborative visualization to be implemented inter-disciplinary groups, in two different settings perspectives; amateurs and professionals. The project begins with preliminary works to define the collaborative visualization based on previous researches. This project will also focus on the factors to develop an effective collaborative working environment thru visualization and shared understanding among the staffs/users from inter-disciplinary backgrounds. In addition, this project will also look into the interaction between human cognition and ICT attributes of visualization in developing an efficient working group to achieve a common goals and objectives. Towards the end of the project, the framework will be tested to validate its possible contributions to the targeted collaborative working groups.
{"title":"Collaborative Visualization Framework for Cross-field Working Group","authors":"Danial Ilman Muhammad Hasni, A. Sarlan","doi":"10.1109/ICCOINS49721.2021.9497144","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497144","url":null,"abstract":"This study is conducted to develop a collaborative visualization framework in the cross-field working group. The ultimate goal of this project is to provide a proper framework that can be used to develop a platform to allow collaborative visualization to be implemented inter-disciplinary groups, in two different settings perspectives; amateurs and professionals. The project begins with preliminary works to define the collaborative visualization based on previous researches. This project will also focus on the factors to develop an effective collaborative working environment thru visualization and shared understanding among the staffs/users from inter-disciplinary backgrounds. In addition, this project will also look into the interaction between human cognition and ICT attributes of visualization in developing an efficient working group to achieve a common goals and objectives. Towards the end of the project, the framework will be tested to validate its possible contributions to the targeted collaborative working groups.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127936648","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 : 2021-07-13DOI: 10.1109/ICCOINS49721.2021.9497187
K. Adnan, R. Akbar, Khor Siak Wang
A high volume of unstructured data is being generated from diverse and heterogeneous sources. The unstructured data analytics process is used to extract valuable insights from these unstructured data sources but unlocking useful and usable information is critical for analytics. Despite advancements in technologies, data preparation requires an inordinate amount of time in unstructured data manipulation into a usable form. Although several data manipulation and preparation techniques have been proposed for unstructured big data, relatively limited research has addressed the usability issues of unstructured data. This study identifies the usability issues of unstructured big data for the analytical process to bridge the identified gap. The usability enhancement model has been proposed for unstructured big data to facilitate the subjective and objective efficacy of unstructured big data for data preparation and manipulation activities. Moreover, concept mapping is an essential element to improve the usability of unstructured big data incorporated in the proposed model with usability rules. These rules reduce the usability gap between data availability and its usefulness for an intended purpose. The proposed research model will help to improve the efficiency of unstructured big data analytics.
{"title":"Towards Improved Data Analytics Through Usability Enhancement of Unstructured Big Data","authors":"K. Adnan, R. Akbar, Khor Siak Wang","doi":"10.1109/ICCOINS49721.2021.9497187","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497187","url":null,"abstract":"A high volume of unstructured data is being generated from diverse and heterogeneous sources. The unstructured data analytics process is used to extract valuable insights from these unstructured data sources but unlocking useful and usable information is critical for analytics. Despite advancements in technologies, data preparation requires an inordinate amount of time in unstructured data manipulation into a usable form. Although several data manipulation and preparation techniques have been proposed for unstructured big data, relatively limited research has addressed the usability issues of unstructured data. This study identifies the usability issues of unstructured big data for the analytical process to bridge the identified gap. The usability enhancement model has been proposed for unstructured big data to facilitate the subjective and objective efficacy of unstructured big data for data preparation and manipulation activities. Moreover, concept mapping is an essential element to improve the usability of unstructured big data incorporated in the proposed model with usability rules. These rules reduce the usability gap between data availability and its usefulness for an intended purpose. The proposed research model will help to improve the efficiency of unstructured big data analytics.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117323217","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 : 2021-07-13DOI: 10.1109/ICCOINS49721.2021.9497191
Wan Anis Izzati Wan Affandi Azam, S. Sulaiman, D. R. A. Rambli, Foong Oi Mean
Accessibility and usability are two important concepts for universal design but have been given less emphasis by most developers especially when developing web interfaces. Among the affected users are the elderly people who are facing difficulties interacting with the computer devices as the interface could not fully support the changes in their sensorial, motor and cognitive abilities. The objective of this study is to elicit elderly readers’ opinions on the interface of eText in order to support their reading. It discovers elderly people preferences on the background and font color on the interface for reading. The study is motivated by reported work claiming that these two interface elements could support the elders in reading. Through an interview, a suitable contrast color of background and text was determined. The findings were used to design an e-text interface and tested with elderly people. The study findings could help designers to better design e-text interface for elderly readers.
{"title":"Exploring User Preferences on eText Interface Design to Support Reading Among Low Vision Elders","authors":"Wan Anis Izzati Wan Affandi Azam, S. Sulaiman, D. R. A. Rambli, Foong Oi Mean","doi":"10.1109/ICCOINS49721.2021.9497191","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497191","url":null,"abstract":"Accessibility and usability are two important concepts for universal design but have been given less emphasis by most developers especially when developing web interfaces. Among the affected users are the elderly people who are facing difficulties interacting with the computer devices as the interface could not fully support the changes in their sensorial, motor and cognitive abilities. The objective of this study is to elicit elderly readers’ opinions on the interface of eText in order to support their reading. It discovers elderly people preferences on the background and font color on the interface for reading. The study is motivated by reported work claiming that these two interface elements could support the elders in reading. Through an interview, a suitable contrast color of background and text was determined. The findings were used to design an e-text interface and tested with elderly people. The study findings could help designers to better design e-text interface for elderly readers.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116592993","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 : 2021-07-13DOI: 10.1109/ICCOINS49721.2021.9497147
Pradeep S Naulia, J. Watada, I. Aziz, Arunava Roy
In recent days a lot of activities in Deep Learning demonstrated ability to produce much better than other Machine Learning techniques. Much of the challenge in the Deep Learning is about optimizing the weights and several hyper parameters as it takes lot of computation and time to do. Gradient descent has been most popular technique currently in its weights optimization for back propagation. Most of the existing implementation of Convolution Neural Networks/Deep Learning Networks plays pivotal role in image processing. Though being scientifically regressive, BP and GD is slowly converging and getting easily trapped in local minima these are inherent disadvantages. For this reason, we explored another optimization with Meta Heuristic Algorithms such as Genetic Algorithm in the Deep Learning algorithm.
{"title":"A GA approach to Optimization of Convolution Neural Network","authors":"Pradeep S Naulia, J. Watada, I. Aziz, Arunava Roy","doi":"10.1109/ICCOINS49721.2021.9497147","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497147","url":null,"abstract":"In recent days a lot of activities in Deep Learning demonstrated ability to produce much better than other Machine Learning techniques. Much of the challenge in the Deep Learning is about optimizing the weights and several hyper parameters as it takes lot of computation and time to do. Gradient descent has been most popular technique currently in its weights optimization for back propagation. Most of the existing implementation of Convolution Neural Networks/Deep Learning Networks plays pivotal role in image processing. Though being scientifically regressive, BP and GD is slowly converging and getting easily trapped in local minima these are inherent disadvantages. For this reason, we explored another optimization with Meta Heuristic Algorithms such as Genetic Algorithm in the Deep Learning algorithm.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123383439","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 : 2021-07-13DOI: 10.1109/ICCOINS49721.2021.9497180
Nadiah Mohamad Sofian, Ahmad Sobri Hashim, A. Sarlan
The exponential growth in technological advancements that benefit children diagnosed with autism has recently occurred. Prior to the growing number of applications to help them communicate, understand, and interact with others, a study on the user interface characteristics, specifically on colour, text, and images in designing mobile application interfaces for children with autism, was conducted to provide preliminary evidence. This study helps in the design and development phase of a mobile application for children with autism. A total of 38 proxy users took part in this study. They were given a questionnaire through an online 5-10 minute survey. The questionnaire comprises questions on the multimedia elements used in designing a mobile application for children with autism. This study aims to identify the user interface characteristics preference, specifically on colour, text, and images, in designing a mobile application interface for children with autism, based on the proxy user perspective. To supplement the body of literature in this area and improve the pedagogical method, the author expresses the related works on the user interface characteristics and usability issues. The enhancement to the instrument used is promising in terms of the mobile application's design and development for children with autism.
{"title":"Multimedia Elements in Designing Mobile App Interface for Autistic Children: Proxy User Perspective","authors":"Nadiah Mohamad Sofian, Ahmad Sobri Hashim, A. Sarlan","doi":"10.1109/ICCOINS49721.2021.9497180","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497180","url":null,"abstract":"The exponential growth in technological advancements that benefit children diagnosed with autism has recently occurred. Prior to the growing number of applications to help them communicate, understand, and interact with others, a study on the user interface characteristics, specifically on colour, text, and images in designing mobile application interfaces for children with autism, was conducted to provide preliminary evidence. This study helps in the design and development phase of a mobile application for children with autism. A total of 38 proxy users took part in this study. They were given a questionnaire through an online 5-10 minute survey. The questionnaire comprises questions on the multimedia elements used in designing a mobile application for children with autism. This study aims to identify the user interface characteristics preference, specifically on colour, text, and images, in designing a mobile application interface for children with autism, based on the proxy user perspective. To supplement the body of literature in this area and improve the pedagogical method, the author expresses the related works on the user interface characteristics and usability issues. The enhancement to the instrument used is promising in terms of the mobile application's design and development for children with autism.","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"99 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123128531","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 : 2021-07-13DOI: 10.1109/ICCOINS49721.2021.9497208
Nurafni, Ajeng Dwi Ningrum
The aim of this research to find out is there or no the differences of student’s mathematical problem solving ability between IMPROVE learning model and Two Stay-Two Stray learning model assisted by Geogebra. The method of research that used Quasi Experiment. The sampling technique using Cluster Sampling and obtained a sample of 68 students in the class X 43 Jakarta Senior High School in the second semester of the 2015/2016 academic year. Instrument of this research using mathematical problem solving ability test which has been tested validity, reliability, level of difficulty and distinguishing features. The requirements analysis test conducted this research are normality test and homogeneity test. Furthermore, hypothesis test obtained t_result for 2,09 with significance level 0,05. Based on the results of this research concluded that there is differences student’s mathematical problem solving ability between IMPROVE learning model and Two Stay-Two Stray learning model assisted by Geogebra’s software
{"title":"The Differences In Students Mathematical Resolution Ability Assisted By Geogebra","authors":"Nurafni, Ajeng Dwi Ningrum","doi":"10.1109/ICCOINS49721.2021.9497208","DOIUrl":"https://doi.org/10.1109/ICCOINS49721.2021.9497208","url":null,"abstract":"The aim of this research to find out is there or no the differences of student’s mathematical problem solving ability between IMPROVE learning model and Two Stay-Two Stray learning model assisted by Geogebra. The method of research that used Quasi Experiment. The sampling technique using Cluster Sampling and obtained a sample of 68 students in the class X 43 Jakarta Senior High School in the second semester of the 2015/2016 academic year. Instrument of this research using mathematical problem solving ability test which has been tested validity, reliability, level of difficulty and distinguishing features. The requirements analysis test conducted this research are normality test and homogeneity test. Furthermore, hypothesis test obtained t_result for 2,09 with significance level 0,05. Based on the results of this research concluded that there is differences student’s mathematical problem solving ability between IMPROVE learning model and Two Stay-Two Stray learning model assisted by Geogebra’s software","PeriodicalId":245662,"journal":{"name":"2021 International Conference on Computer & Information Sciences (ICCOINS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121969708","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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