Pub Date : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257132
I. M. Ardana, Suharjito
The quality of products is very important for a software development industry. The product quality is strongly influenced by the software development process. Software development company with limited resources is hard to improve the quality of the software produced. The method to be taken is to improve the software development process to achieve maturity level 2. In this study, CMMI-Dev (CMMI for Development) version 1.3 with continuous representation is used as a reference. SCAMPI-C with PST Tool was used to conduct the assessment of the 5 (five) process areas of CMMI level 2. Data were collected by interviews and observations of project documentation and the process of software development. Unapplied practice from assesment then be analyzed using Ishikawa Analysis to find root of the problem refers to the SPF (Software Process Framework) and subsequently use Pareto Analysis to determine the improvements priority. The process which have already good are in the process area PP (Project Planning), CM (Configuration Management), and most of the processes in the area of PMC (Project Monitoring and Control). Software development processes which are need to be improved in the process area with priority PPQA (Process and Product Quality Assurance), REQM (Requirements Management), then PMC (Project Monitoring and Control). The prior improvement from the SPF category were in the order of procedure category and then process category.
产品的质量对于软件开发行业来说是非常重要的。软件开发过程对产品质量的影响很大。资源有限的软件开发公司很难提高所生产软件的质量。要采取的方法是改进软件开发过程以达到成熟度级别2。本研究采用连续表示的CMMI- dev (CMMI for Development) 1.3版本作为参考。SCAMPI-C使用PST工具对CMMI 2级的5(5)个过程域进行评估。数据是通过访谈和观察项目文档和软件开发过程收集的。然后使用石川分析来分析来自评估的未应用实践，以找到问题的根源，并参考SPF(软件过程框架)，随后使用帕累托分析来确定改进的优先级。在过程域PP(项目计划)、CM(配置管理)和PMC(项目监视与控制)领域的大部分过程中，已经有好的过程。需要在过程域中改进的软件开发过程，优先级为PPQA(过程和产品质量保证)，REQM(需求管理)，然后是PMC(项目监视和控制)。SPF类别的优先改进顺序为程序类别，然后是过程类别。
{"title":"Software development evaluation process using CMMI-Dev on limited resources company","authors":"I. M. Ardana, Suharjito","doi":"10.1109/ICSITECH.2017.8257132","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257132","url":null,"abstract":"The quality of products is very important for a software development industry. The product quality is strongly influenced by the software development process. Software development company with limited resources is hard to improve the quality of the software produced. The method to be taken is to improve the software development process to achieve maturity level 2. In this study, CMMI-Dev (CMMI for Development) version 1.3 with continuous representation is used as a reference. SCAMPI-C with PST Tool was used to conduct the assessment of the 5 (five) process areas of CMMI level 2. Data were collected by interviews and observations of project documentation and the process of software development. Unapplied practice from assesment then be analyzed using Ishikawa Analysis to find root of the problem refers to the SPF (Software Process Framework) and subsequently use Pareto Analysis to determine the improvements priority. The process which have already good are in the process area PP (Project Planning), CM (Configuration Management), and most of the processes in the area of PMC (Project Monitoring and Control). Software development processes which are need to be improved in the process area with priority PPQA (Process and Product Quality Assurance), REQM (Requirements Management), then PMC (Project Monitoring and Control). The prior improvement from the SPF category were in the order of procedure category and then process category.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123401161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257168
Mochamad Iqbal Ardimansyah, A. Huda, Z. Baizal
Collaborative filtering (CF) is one of the techniques in recommender system which utilizes information of user preference in the form of ratings of items and produce recommendation based on the similarity of behaviors with other user's preference. The collaborative filtering approach divisible into two main categories: memory-based and model-based, both have their respective advantages and disadvantages. The weakness of memory-based CF is that accuracy becomes less optimal when using sparse dataset. We propose the use of matrix factorization as preprocessing to fill empty rating values to handle sparse rating data. The research involves memory-based CF, with and without preprocessing to analyze both prediction performances. Our results show that the proposed approach with preprocessing has better accuracy than without preprocessing.
{"title":"Preprocessing matrix factorization for solving data sparsity on memory-based collaborative filtering","authors":"Mochamad Iqbal Ardimansyah, A. Huda, Z. Baizal","doi":"10.1109/ICSITECH.2017.8257168","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257168","url":null,"abstract":"Collaborative filtering (CF) is one of the techniques in recommender system which utilizes information of user preference in the form of ratings of items and produce recommendation based on the similarity of behaviors with other user's preference. The collaborative filtering approach divisible into two main categories: memory-based and model-based, both have their respective advantages and disadvantages. The weakness of memory-based CF is that accuracy becomes less optimal when using sparse dataset. We propose the use of matrix factorization as preprocessing to fill empty rating values to handle sparse rating data. The research involves memory-based CF, with and without preprocessing to analyze both prediction performances. Our results show that the proposed approach with preprocessing has better accuracy than without preprocessing.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125280217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257124
Meilana Siswanto, Bayu Rudiyanto
Information security, especially cryptography still seems becoming an interested topic of researches in the recent years since it will be responsible to secure a system and data for misusing of attackers. With spreading of internet of things (IoT) applications in many fields whereas many devices will be connected to internet, security issues become one of three common issues related to IoT applications such as innovations, security and interoperability. As a new application of IoT is implemented, a new security system will be needed as well. This paper discusses on designing a quantum random number generator (QRNG) which has a potential for security solution of IoT ecosystem applications.
{"title":"Designing of quantum random number generator (QRNG) for security application","authors":"Meilana Siswanto, Bayu Rudiyanto","doi":"10.1109/ICSITECH.2017.8257124","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257124","url":null,"abstract":"Information security, especially cryptography still seems becoming an interested topic of researches in the recent years since it will be responsible to secure a system and data for misusing of attackers. With spreading of internet of things (IoT) applications in many fields whereas many devices will be connected to internet, security issues become one of three common issues related to IoT applications such as innovations, security and interoperability. As a new application of IoT is implemented, a new security system will be needed as well. This paper discusses on designing a quantum random number generator (QRNG) which has a potential for security solution of IoT ecosystem applications.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123460354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257185
Indryani Astuti, H. Sutarno, Rasim
Disease diagnosis usually is done by a doctor; however, the number of doctors is still far from ideal condition. Expert systems are becoming a solution and have been widely used for disease diagnosis. This paper proposes an expert system using forward chaining and certainty factor to diagnose symptoms of digestive tract diseases in children. The expert system is designed to be web-based so that it can be used by more people. Method of forward chaining is used for the search direction, while the method of certainty factor is used to provide confidence in a result. Testing is done by comparing the results of system diagnosis with expert diagnosis. The results showed that this system has an accuracy of 100% with confidence value of 80,5%. The results suggest that it can be used to diagnose digestive tract diseases in children.
{"title":"The expert system of children's digestive tract diseases diagnostic using combination of forward chaining and certainty factor methods","authors":"Indryani Astuti, H. Sutarno, Rasim","doi":"10.1109/ICSITECH.2017.8257185","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257185","url":null,"abstract":"Disease diagnosis usually is done by a doctor; however, the number of doctors is still far from ideal condition. Expert systems are becoming a solution and have been widely used for disease diagnosis. This paper proposes an expert system using forward chaining and certainty factor to diagnose symptoms of digestive tract diseases in children. The expert system is designed to be web-based so that it can be used by more people. Method of forward chaining is used for the search direction, while the method of certainty factor is used to provide confidence in a result. Testing is done by comparing the results of system diagnosis with expert diagnosis. The results showed that this system has an accuracy of 100% with confidence value of 80,5%. The results suggest that it can be used to diagnose digestive tract diseases in children.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124410822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257155
N. S. Fitriasari, Syifa Afifah Fitriani, R. A. Sukamto
Weighted Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are two methods widely used to assist in making decision. As research on the comparison of both methods seems to have not been extensive, this study aims to compare the two methods by looking at their complexity and accuracy. The measurement of their complexity was carried out by using Cyclomatic Complexity and their accuracy was calculated based on the error rate obtained. The results show that although TOPSIS method has a higher level of complexity, which is 8 compared to 5 of WP method, TOPSIS has a higher accuracy rate of 73% compared to WP's 67%. Hence, TOPSIS method is better.
{"title":"Comparison of weighted product method and technique for order preference by similarity to ideal solution method: Complexity and accuracy","authors":"N. S. Fitriasari, Syifa Afifah Fitriani, R. A. Sukamto","doi":"10.1109/ICSITECH.2017.8257155","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257155","url":null,"abstract":"Weighted Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are two methods widely used to assist in making decision. As research on the comparison of both methods seems to have not been extensive, this study aims to compare the two methods by looking at their complexity and accuracy. The measurement of their complexity was carried out by using Cyclomatic Complexity and their accuracy was calculated based on the error rate obtained. The results show that although TOPSIS method has a higher level of complexity, which is 8 compared to 5 of WP method, TOPSIS has a higher accuracy rate of 73% compared to WP's 67%. Hence, TOPSIS method is better.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128962973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257120
T. Hoshino, Yukichi Ota, Kohei Tomaru, Y. Hamamatsu
This paper reports the development and evaluation of software for smart devices to support educational experiments on acceleration in junior and senior high schools. Paper tape and time recorders are conventionally used for performing such experiments in schools. However, a long time is required to read out the measurements when using these devices. Long experiment times may hamper students' intuitive understanding of concepts. The proposed software for smart devices reduces the experiment time by using values obtained from acceleration sensors in a smartphone. We propose an experimental method with the proposed software and a wireless display adapter to support students' learning.
{"title":"Development and evaluation of software for smart devices to support educational experiments on acceleration","authors":"T. Hoshino, Yukichi Ota, Kohei Tomaru, Y. Hamamatsu","doi":"10.1109/ICSITECH.2017.8257120","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257120","url":null,"abstract":"This paper reports the development and evaluation of software for smart devices to support educational experiments on acceleration in junior and senior high schools. Paper tape and time recorders are conventionally used for performing such experiments in schools. However, a long time is required to read out the measurements when using these devices. Long experiment times may hamper students' intuitive understanding of concepts. The proposed software for smart devices reduces the experiment time by using values obtained from acceleration sensors in a smartphone. We propose an experimental method with the proposed software and a wireless display adapter to support students' learning.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123642652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257195
A. J. Suali, S. Fauzi, W. Sobri, M. Nasir
Complex projects require involvement from many experts to fulfill the requirements. Complexity arises as working in distributed projects indeed requires expertise to overcome the gaps. Coordination among developers increases the likelihood of delivering high quality software. However, working in isolation impedes coordination and causes issues during development. Coordination issues impact the software quality in software engineering projects. This paper aims to investigate issues relating to coordination and its impact on software quality in software engineering projects. Systematic Literature Review (SLR) is applied to perform this study. Among the coordination issues uncovered are language barriers, intercultural, inefficient communication, lack of trust, lack of project flow understanding, different time zones, dependency issues, strategic issues, knowledge management, geographical distance, awareness, and organizational boundaries. As for the finding of this study, all these obstacles significantly impact software quality.
{"title":"Developers' coordination issues and its impact on software quality: A systematic review","authors":"A. J. Suali, S. Fauzi, W. Sobri, M. Nasir","doi":"10.1109/ICSITECH.2017.8257195","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257195","url":null,"abstract":"Complex projects require involvement from many experts to fulfill the requirements. Complexity arises as working in distributed projects indeed requires expertise to overcome the gaps. Coordination among developers increases the likelihood of delivering high quality software. However, working in isolation impedes coordination and causes issues during development. Coordination issues impact the software quality in software engineering projects. This paper aims to investigate issues relating to coordination and its impact on software quality in software engineering projects. Systematic Literature Review (SLR) is applied to perform this study. Among the coordination issues uncovered are language barriers, intercultural, inefficient communication, lack of trust, lack of project flow understanding, different time zones, dependency issues, strategic issues, knowledge management, geographical distance, awareness, and organizational boundaries. As for the finding of this study, all these obstacles significantly impact software quality.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127308893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257138
C. Riana, Munir, Misrina
This research is motivated by the lack of learning interest of student due to the selection of media, which is sometimes does not match with the learners learning style characteristics. This research aims to: 1) Determine the Influences of Video Streaming Media Based on Cloud Mobile Learning in improving the learning interest of students who have Visual learning style. 2) Determine the Influences of Video Streaming Media Based on Cloud Mobile Learning in improving the learning interest of students who have Auditory learning style. 3) Determine the Influences of Video Streaming Media Based on Cloud Mobile Learning in improving the learning interest of students who have kinestetic learning style. 4) Determine which learning style is heavily influenced by the use of Video Streaming Media Based on Cloud Mobile Learning. This research uses a quantitative approach with quasi experimental method. Data collection isdone by observation, and questionnaires. The subjects of this research were college students. The conclusion of the study: 1) Video Streaming Media Based on Cloud Mobile Learning influential on improving students' learning interest who have visual learning style. 2) Video Streaming Media Based on Cloud Mobile Learning influential on improving students' learning interest who have Auditory learning style. 4) Video Streaming Media Based on Cloud Mobile Learning at most affected the learning interest on visual learning style group, the second is auditory learning style, and the latter is kinesthetic learning style. This research can be considered for the development of media and learning activities improvement. In addition, can be useful as a reference for other researchers who want to investigate more deeply and specifically regarding learning interest.
{"title":"The influences of video streaming media based on cloud mobile learning in learning styles (Quasi-Experimental study on television & video media course in education technology department, education University of Indonesia)","authors":"C. Riana, Munir, Misrina","doi":"10.1109/ICSITECH.2017.8257138","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257138","url":null,"abstract":"This research is motivated by the lack of learning interest of student due to the selection of media, which is sometimes does not match with the learners learning style characteristics. This research aims to: 1) Determine the Influences of Video Streaming Media Based on Cloud Mobile Learning in improving the learning interest of students who have Visual learning style. 2) Determine the Influences of Video Streaming Media Based on Cloud Mobile Learning in improving the learning interest of students who have Auditory learning style. 3) Determine the Influences of Video Streaming Media Based on Cloud Mobile Learning in improving the learning interest of students who have kinestetic learning style. 4) Determine which learning style is heavily influenced by the use of Video Streaming Media Based on Cloud Mobile Learning. This research uses a quantitative approach with quasi experimental method. Data collection isdone by observation, and questionnaires. The subjects of this research were college students. The conclusion of the study: 1) Video Streaming Media Based on Cloud Mobile Learning influential on improving students' learning interest who have visual learning style. 2) Video Streaming Media Based on Cloud Mobile Learning influential on improving students' learning interest who have Auditory learning style. 4) Video Streaming Media Based on Cloud Mobile Learning at most affected the learning interest on visual learning style group, the second is auditory learning style, and the latter is kinesthetic learning style. This research can be considered for the development of media and learning activities improvement. In addition, can be useful as a reference for other researchers who want to investigate more deeply and specifically regarding learning interest.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124417618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257076
T. Hirashima
Problems are often categorized into two types: ill-structured and well-structured, in the context of education/learning, cognitive science and artificial intelligence. Then, from an educational viewpoint, ill-structured problems are further more important because they are useful to promote a learner to think about learning target deeply and to master computational or logical thinking skills, including metacognition. This paper proposes an additional characterization of problems by using two factors, (1) well/ill-structured domain model and (2) well/ill-structured problem setting. Based on this characterization, “moderately ill-structured problems” are defined as a category of problems specified by “well-structured domain model” and “ill-structured problem setting”. If a problem is set in well-structured domain model, it is possible to realize computer-based monitoring and diagnosis of learner's activities for the problem. If the problem setting is ill-structured, for example, open-ended, a learner is required to engage in the problem as ill-structured one. Therefore, moderately ill-structured problems are promising to realize computer-based intelligent support for solving ill-structured problems, while keeping educational advantages of ill-structured problems. In this paper, a definition of moderately ill-structured problems is described. Then, using the arithmetic word problems as an example of learning target domains, this paper describes (1) well-structured domain model of arithmetic word problems, and (2) design of moderately ill-structured problem as “problem-posing assignment” based on the domain model. Moreover, (3) implementation of an intelligent learning environment that requests a learner to solve ill-structured problems as problem-posing is introduced. The environment has functions to diagnose learner's behaviors and to give individual feedback.
{"title":"Computer-based intelligent support for moderately Ill-structured problems","authors":"T. Hirashima","doi":"10.1109/ICSITECH.2017.8257076","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257076","url":null,"abstract":"Problems are often categorized into two types: ill-structured and well-structured, in the context of education/learning, cognitive science and artificial intelligence. Then, from an educational viewpoint, ill-structured problems are further more important because they are useful to promote a learner to think about learning target deeply and to master computational or logical thinking skills, including metacognition. This paper proposes an additional characterization of problems by using two factors, (1) well/ill-structured domain model and (2) well/ill-structured problem setting. Based on this characterization, “moderately ill-structured problems” are defined as a category of problems specified by “well-structured domain model” and “ill-structured problem setting”. If a problem is set in well-structured domain model, it is possible to realize computer-based monitoring and diagnosis of learner's activities for the problem. If the problem setting is ill-structured, for example, open-ended, a learner is required to engage in the problem as ill-structured one. Therefore, moderately ill-structured problems are promising to realize computer-based intelligent support for solving ill-structured problems, while keeping educational advantages of ill-structured problems. In this paper, a definition of moderately ill-structured problems is described. Then, using the arithmetic word problems as an example of learning target domains, this paper describes (1) well-structured domain model of arithmetic word problems, and (2) design of moderately ill-structured problem as “problem-posing assignment” based on the domain model. Moreover, (3) implementation of an intelligent learning environment that requests a learner to solve ill-structured problems as problem-posing is introduced. The environment has functions to diagnose learner's behaviors and to give individual feedback.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127904131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICSITECH.2017.8257177
Fajar Satria, Hafiz Aditra, Mohamad Dean Aji Wibowo, Hilmi Luthfiansyah, M. Suryani, E. Paulus, I. Suryana
In Indonesia, English language use as a foreign language (EFL) and become one of the major subject since elementary school till the university. Sometimes it's hard to teach English language only by speech, especially to the young learner. Based on it, game-based learning combined with speech recognition has been developed. The proposed game helps and facilitates the children to learn English and introducing children to various animal themes. The game is packed in a fun and interesting concept in a form of an interactive game so that learning process could be more effective and not only to help them learn faster but also entertaining them in the process. This game is operated by using speech recognition and use Kinect as its main platform to interact with. This was chosen as the main way to interact with the application so that children can not only play the game but also improve their English pronunciation and vocabulary. The game also tested to the 30 respondents to know the usability of the system and the motivation to learn. Based on the experiments, the results showed that all respondents agreed that the proposed game has a good usability. It can be seen from the average of central tendency value that reaches about 4.38. Based on the results, we concluded that the proposed game-based learning gave new experiences, easy to use, and became fun alternative for young learners to study the EFL.
{"title":"EFL learning media for early childhood through speech recognition application","authors":"Fajar Satria, Hafiz Aditra, Mohamad Dean Aji Wibowo, Hilmi Luthfiansyah, M. Suryani, E. Paulus, I. Suryana","doi":"10.1109/ICSITECH.2017.8257177","DOIUrl":"https://doi.org/10.1109/ICSITECH.2017.8257177","url":null,"abstract":"In Indonesia, English language use as a foreign language (EFL) and become one of the major subject since elementary school till the university. Sometimes it's hard to teach English language only by speech, especially to the young learner. Based on it, game-based learning combined with speech recognition has been developed. The proposed game helps and facilitates the children to learn English and introducing children to various animal themes. The game is packed in a fun and interesting concept in a form of an interactive game so that learning process could be more effective and not only to help them learn faster but also entertaining them in the process. This game is operated by using speech recognition and use Kinect as its main platform to interact with. This was chosen as the main way to interact with the application so that children can not only play the game but also improve their English pronunciation and vocabulary. The game also tested to the 30 respondents to know the usability of the system and the motivation to learn. Based on the experiments, the results showed that all respondents agreed that the proposed game has a good usability. It can be seen from the average of central tendency value that reaches about 4.38. Based on the results, we concluded that the proposed game-based learning gave new experiences, easy to use, and became fun alternative for young learners to study the EFL.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128497287","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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