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2nd International Conference on Lesson Study of Science technology Engineering and Mathematics 2020, ICOLSSTEM 2020

作者： Sardjono, W. Rama Putra, G. Selviyanti, E. Cholidin, A. Salim, G. Information Systems Management Department Binus Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia Computer Science Study Program Faculty of Mathematics and Natural Sciences Pakuan University Bogor Indonesia Health Department Politeknik Negeri Jember Jember Jawa Timur68124 Indonesia Law Studi Program Faculty of Law University of Muhammadiyah Jakarta Indonesia Post Graduate Program Faculty of Economic Science University of Trisakti Jakarta Indonesia

The purpose of writing this paper is to look at how factors of big data adoption affect the users of social media and brand popularity. The method used in the writing of this paper is by using path analysis and also by doing literature study to find reference material. The results of the analysis indicate that there is influence of big data adoption factors that affect the popularity of the brand. With this research, we get big data model that influence the brand popularity. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Big data

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Effects of the interdisciplinary robotic game to elementary school students’abilities of computational thinking and STEM 27

Effects of the interdisciplinary robotic game to elementary ...

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27th International Conference on Computers in Education, ICCE 2019

作者： Huang, Hsin-yin Shih, Ju-ling Huang, Shu-hsien Liang, Jyh-Chong Department of Information and Learning Technology National University of Tainan Taiwan Graduate Institute of Network Learning Technology National Central University Taiwan Department of Information Management National Chin-Yi University of Technology Taiwan Program of Learning Sciences National Taiwan Normal University Taiwan

ISBN: (纸本)9789869721448

In 21st century, problem solving, computational thinking (CT) and collaborative skills are essential skills to achieve. In this study, problem-solving aptitude including five CT dimensions and STEM attitudes were examined through questionnaires. Total of ninety-nine 5th-graders were involved in the interdisciplinary robotic game , which is designed to enhance the effectiveness of the new learning structure in the context of Great Voyage. It is found that CT dimensions has intersected correlations to the STEM aspects. Interdisciplinary education has positive effects to the students, and the curriculum would lead them to have better performance in the complex problem-solving situations. © ICCE 2019 - 27th International Conference on Computers in Education, Proceedings. All rights reserved.

关键词： Robotics

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AGQ: A model of student question generation supported by one-on-one educational computing

AGQ: A model of student question generation supported by one...

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International Conference on Computer Supported Collaborative Learning

作者： Chang, Sung-Bin Tung, Kuan-Jung Huang, Hsien-Ming Chan, Tak-Wai Department of Computer Science and Information Engineering National Central University Taiwan Degree Program of E-Learning National Chiao Tung University Taiwan Graduate Institute of Network Learning Technology National Central University Taiwan

ISBN: (纸本)0805857826

One-on-one educational computing refers to I student I computing device, which means every student in a group uses a digital learning device. In this paper, we present a model of student question generation called AGQ, which stands for "asking a good question," supported by one-on-one educational computing in the classroom settings. AGQ is designed for engaging students in a challenging learning activity that potentially involves higher-level cognitive processing operations. We shall describe the general design of AGQ, called Product Evolution, and that the current version is a variation of it.

关键词： one-on-one educational computing peer question generation question posing

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Performance prediction in major league baseball by long short-term memory networks

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International Journal of Data Science and Analytics 2023年第1期15卷 93-104页

作者： Sun, Hsuan-Cheng Lin, Tse-Yu Tsai, Yen-Lung Center for Information Systems and Technology Claremont Graduate University Claremont United States Data Science Degree Program National Taiwan University Taipei Taiwan Department of Mathematical Sciences National Chengchi University Taipei Taiwan

Player performance prediction is a serious problem in every sport since it brings valuable future information for managers to make important decisions. In baseball industries, there already existed variable prediction systems and many types of researches that attempt to provide accurate predictions and help domain users. However, it is a lack of studies about the predicting method or systems based on deep learning. Deep learning models had proven to be the greatest solutions in different fields nowadays, so we believe they could be tried and applied to the prediction problem in baseball. Hence, the predicting abilities of deep learning models are set to be our research problem in this paper. As a beginning, we select numbers of home runs as the target because it is one of the most critical indexes to understand the power and the talent of baseball hitters. Moreover, we use the sequential model Long Short-Term Memory as our main method to solve the home run prediction problem in Major League Baseball. We compare models’ ability with several machine learning models and a widely used baseball projection system, sZymborski Projection System. Our results show that Long Short-Term Memory has better performance than others and has the ability to make more exact predictions. We conclude that Long Short-Term Memory is a feasible way for performance prediction problems in baseball and could bring valuable information to fit users’ needs. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Baseball

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Applying data mining techniques for cancer classification from gene expression data

Applying data mining techniques for cancer classification fr...

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2nd International Conference on Convergent information technology, ICCIT 07

作者： Yeh, Jinn-Yi Wu, Tai-Shi Wu, Min-Che Chang, Der-Ming Department of Management Information Systems National Chiayi University Taiwan Department of Business Administration National Taipei University Taiwan Department and Graduate Program of Biolndustry Technology Da-Yeh University Taiwan

ISBN: (纸本)0769530389

Recent studies on molecular level classification of tissues have produced remarkable results, and indicated that gene expression assays could significantly aid in the development of efficient cancer diagnosis and classification platforms. However, cancer classification based on the DNA array data is still a difficult problem. The main challenge is the overwhelming number of genes relative to the number of training samples. It makes accurate classification of data more difficult. This paper applies genetic algorithms (GA) with an initial solution provided by t-statistics (t-GA) for selecting a group of relevant genes from cancer microarray data. The decision tree based cancer classifier is then built on top of these selected genes. The performance of this approach is evaluated by comparing with other gene selection methods using the publicly available gene expression datasets. Experimental results indicate that t-GA has the highest accurate rate among different methods. The Z-score figure also shows that the gene selection operation provided by t-GA is reproducible. © 2007 IEEE.

关键词： Genetic algorithms

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Modeling of development of performance evaluation on health information systems implementation

Modeling of development of performance evaluation on health ...

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International Conference on Physics and Mathematics for Biological Science 2019, ICOPAMBS 2019

作者： Sardjono, W. Selviyanti, E. Perdana, W.G. Maryani Information Systems Management Department BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia Health Department State Polytechnic of Jember Jember Jawa Timur68124 Indonesia Post Graduate Program of Environmental Science School of Environmental Science University of Indonesia Jakarta11480 Indonesia Information System Department School of Information System Bina Nusantara University Jl. K.H. Syahdan no.9 Kemanggisan Jakarta Barat11480 Indonesia

In any organization, the appropriate use of information systems will have an impact on the effectiveness of day-to-day operations. To find out how the performance of an information system is necessary to do an evaluation of the implementation of which has been run. This study evaluates the implementation of information systems in the Maternity Hospital St. Yosef. By adopting PIECES framework as an evaluation, primary data collection is done through questionnaires distributed. Of the some respondents who collected the data used factor analysis to get factors and indicators affect the successful implementation of system and get right model for evaluation of the Maternity Hospital in St. Joseph. The results showed that the factor of ease use and suitability to needs of a positive effect on the success, while reliability of system negatively affect the success. On a scale of 0-100 obtained an un-expected value of system performance is at 45.75 and the expected value of performance of the system is equal to 83.77. © Published under licence by IOP Publishing Ltd.

关键词： Hospitals

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Disaster recovery plan implementation evaluation model at the corporation 7

Disaster recovery plan implementation evaluation model at th...

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7th information Systems International Conference, ISICO 2023

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Putra, Gustian Rama Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jl. R.Mangun Muka Raya No.11 Jakarta Timur Jakarta13220 Indonesia Computer Science Study Program Faculty of Mathematics & Natural Sciences Pakuan University Bogor Indonesia

The application of information technology in addition to making internal business processes more effective and efficient, is also to improve customer service. This role is important for companies to maintain the sustainability of information systems as a strategic tool for competitive advantage so system availability is absolutely essential. Research related to the Disaster Recovery Plan (DRP) needs to be carried out to see the readiness of a corporation to build a backup system in different places and locations. By using the method of factor analysis and regression analysis to form an evaluation model, it will obtain an overview of what factors must be considered and what the current conditions are. The results of the study show that there are Core Technical DRP, Organizational Preparation, and Costing factors which are the main variables in supporting DRP readiness. The conclusion from this study, through these three new factors a mathematical model can be built as a reference for improving DRP implementation in corporations. © 2023 The Authors. Published by Elsevier B.V.

关键词： Factor analysis

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Design and Implementation of Business Intelligence Dashboard for Project Control at the Port Harbor-Company 12th

Design and Implementation of Business Intelligence Dashboard...

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12th Asian Conference on Intelligent information and Database Systems, ACIIDS 2020

作者： Lumban Gaol, Ford Syahir, Arsyan Matsuo, Tokuro Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program – Master of Information System Bina Nusantara University Jakarta Indonesia Advanced Institute of Industry Technology Tokyo Japan

ISBN: (纸本)9789811533792

This study aims to assist resource management and the project controller at Port Harbor Company. Port Harbor Company is an IT Consulting. Problems that often occur in IT Consulting are related to the project cost, resource management and control of each project. Problems that occur at the Port Harbor Company are poor resource management, spending costs that exceed a predetermined budget and how to see the status of ongoing projects. Using Business Intelligence and the dashboard as a front end will help the project controller and resource management manage resources, manage project costs and monitor ongoing projects. In this study, the development and implementation of Business Intelligence and dashboards using the ASAP method are expected to be more structured and can solve the Port Harbor Company problem. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Project management

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Creating Mathematical Models to Help Formulate Company Strategies for Knowledge Management System Implementation 9

Creating Mathematical Models to Help Formulate Company Strat...

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9th International Conference on information Management and technology, ICIMTech 2024

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Pranata, Dewi Sagita BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta13220 Indonesia King's College London Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences Department of Informatics Strands West MinsterWC2R 2LS United Kingdom

ISBN: (纸本)9798350390025

This research aims to build a mathematical model to formulate the problems of implementing knowledge management systems in companies that often face obstacles in achieving the desired objectives and goals. With increasing competition in the business sector, organizations or organizations realize the importance of utilizing the knowledge assets that reside in each individual and organization. If this knowledge can be managed optimally, it can become a competitive advantage for the company due to the emergence of innovative ideas by the concepts of knowledge management theory. By implementing optimal knowledge management (KM), companies can design innovative solutions to improve business operations and increase overall revenue. The factor analysis method will be used to find the determining factors for the success of the implementation of knowledge management systems (KMS) and the regression analysis method will also be used to form a mathematical model of several new factors which are formed as independent variables with the current level of community understanding of KMS as the dependent variable. The research results provide insight into strategies to improve success factors to successfully facilitate KMS implementation. This study contributes to existing knowledge management by providing insight into dynamics that go beyond the technical aspects of KMS, ultimately developing strategies for more effective and efficient utilization of knowledge and organizational growth and supporting competitive advantage for companies. © 2024 IEEE.

关键词： Knowledge organization system (KOS)

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Potential Impact of Social Media to Support Government Services in Jakarta Smart City 3

Potential Impact of Social Media to Support Government Servi...

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3rd International Conference on information Management and technology, ICIMTech 2018

作者： Didik Madyatmadja, Evaristus Abdurachman, Edi Gaol, Ford Lumban Pudjianto, Bonifasius W. Hapsara, Manik Information Systems Department Computer Science Department BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Computer Science Department Bina Nusantara University BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Indonesian Creative Economy Agency Jakarta Indonesia University of New South Wales School of Engineering and Information Technology Australia

ISBN: (纸本)9781538658215

The purpose of this initiative is to ensure that citizens use social media to access information about the state of the city. Social media application offers benefits in the form of a channel of communication between the community and the government or the group that has public interest. Through this application, the public could channel complaints about public services. Perception becomes the important key for this condition because user action is determined by their perception toward the government e-services. The result of standard measurement for customer satisfaction on government organization is used to help find the weakness of the service and correct it. The interface is made to be more user-friendly to ensure the effective service. So, it is necessary to develop the system continuously. Perceived quality is one of the important determinants of the success of social media application, therefore needs identification of the user's perception and expectations and involving becomes the key to success besides the good quality that will increase the trust and satisfaction of users. Evaluation of social media applications is needed so that it can provide recommendations to the provincial government of DKI Jakarta related to what things can be done to improve community service. © 2018 IEEE.

关键词： Smart city

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