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10th International Conference on ICT for Smart Society, ICISS 2023

作者： Oktavia, Tanty Lintang, Febian Wijaya Ongko, Gerald Christian Benedicta, Griselda Valerie Michelle Sembiring, Vieri Aska Juneio Ananta, Zaldy Raditya Hosoda, Takaaki Gaol, Ford Lumban Bina Nusantara University BINUS Graduate Program - Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Advanced Institute of Industrial Technology Decision Science Department Tokyo Japan Bina Nusantara University BINUS Graduate Program - Doctor of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350339543

Smart Home technology offers technological concepts that can be controlled through smart devices to make it easier for the community. Therefore, smart home technology is starting to seize the home electronics market in Indonesia, especially in the city of Jakarta. This study aims to determine the integration of conventional technology into smart home technology for people in Jakarta. The research model in this study uses UTAUT2 which analyzes nine variables, namely Perceived Usefulness, Perceived Cost, Perceived Ease of Use, Social Influence, Perceived Compatibility, Trust, Perceived Pleasure, and Effort Expectations, Intention to Use Smart Home technology. After the responses were received, data analysis was carried out using the PLS-SEM approach with the SmartPLS application. The results of this study show that there are many people who live in Jakarta who are helped by the presence of smart home technology. However, there are some people who don't really know how to use a smart home because of a lack of knowledge about this technology. © 2023 IEEE.

关键词： technology transfer

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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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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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Proposing an ISO/IEC 15504-2 compliant method for process capability/maturity models customization

Proposing an ISO/IEC 15504-2 compliant method for process ca...

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Lecture Notes in Computer Science

作者： Hauck, Jean Carlo Rossa Von Wangenheim, Christiane Gresse Mc Caffery, Fergal Buglione, Luigi Graduate Program in Knowledge Engineering and Management Federal University of Santa Catarina Brazil Regulated Software Research Group Lero - Dundalk Institute of Technology Ireland Federal University of Santa Catarina Brazil ETS/Engineering.IT Rome Italy

ISBN: (纸本)9783642218422

The customization of software process capability/maturity models (SPCMMs) to specific domains/sectors or development methodologies represents one of the most discussed and applied trends in ICT organizations. Nonetheless, little research appears to have been performed on how theoretically sound and widely accepted SPCMMs should be developed to high quality. The aim of this paper is therefore to elicit the state-of-the-art regarding the processes adopted to develop such models and to propose a systematic approach to support the customization of SPCMMs. Such an approach is developed based on ISO/IEEE standard development processes integrating knowledge Engineering techniques and experiences about how such models are currently developed in practice. Initial feedback from an expert panel indicates the usefulness and adequacy of the proposed method. © 2011 Springer-Verlag.

关键词： knowledge engineering

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Hybrid neural systems for large scale credit risk assessment applications

Hybrid neural systems for large scale credit risk assessment...

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作者： De Amorim, B.P. Vasconcelos, G.C. Brasil, L.M. Center for Informatics - CIn Federal University of Pernambuco UFPE Recife PE Brazil Post-Graduation Program in Knowledge Management and Information Technology Catholic University of Brasilia UCB Brasília DF Brazil

Hybrid Neural Systems that integrate symbolic algorithms or fuzzysystems to Artificial Neural Networks (ANN) are a potential alternativeto the more traditional ANN models. However, in contrast with the ANNmodels, these systems have not been yet fully explored from a practicalviewpoint to show their effectiveness in large scale applications. Thispaper presents an extensive comparative analysis of the neuro-fuzzymodels FWD (Feature-Weighted Detector) and FuNN (Fuzzy Neural Network),together with their rule extraction techniques in a large-scale *** aspects are considered: generalization performance of the models,and the interpretation and explanation qualities of the extractedknowledge. The experiments are conducted in the context of a large scalecredit risk assessment application in a real-world operation of aBrazilian financial institution. The results attained are compared tothose observed with multi-layer perceptron networks. © 2007 - IOS Press and the authors. All rights reserved.

关键词： Neural networks

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Factors that Influence E-Satisfaction and Their Impact on Online Purchase Intention of Telemedicine Applications 9

Factors that Influence E-Satisfaction and Their Impact on On...

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9th IEEE International Conference on Computing, Engineering and Design, ICCED 2023

作者： Gui, Anderes So, Idris Gautama Novantia, Dea Princes, Elfindah Sianipar, Nesti Fronika Haron, Hasnah Bina Nusantara University Information System Program School of Information Systems Jakarta Indonesia Bina Nusantara University Binus Business School Management Department Jakarta Indonesia Bina Nusantara University Binus Graduate Program-Master of Information Systems Management Information Systems Management Department Jakarta Indonesia Bina Nusantara University Faculty of Engineering Food Technology Department Jakarta Indonesia Universiti Sains Islam Malaysia Faculty of Economics and Muamalat Nilai Malaysia

ISBN: (纸本)9798350370126

This study embarked on a rigorous examination of the factors driving user satisfaction and usage behavior in the context of telehealth applications. Utilizing a well- structured Google Form survey, distributed through an array of social media platforms, including WhatsApp, Discord, Instagram, and Line, the research gathered 251 responses. The purposive sampling technique was employed to ensure that the data captured the experiences of individuals who had actively engaged with telehealth services. One hypothesis, relating to the influence of Online Reviews, was found to be unsupported. This surprising result suggests that, contrary to expectations, the opinions and reviews shared online do not significantly affect users' satisfaction or their behavioral decisions in the context of telehealth applications. This finding highlights the need for a more nuanced understanding of the factors influencing user preferences and choices in this rapidly evolving sector. Conversely, other hypotheses examining factors such as Social Influence, Facilitating Conditions, Perceived Reliability, Price Value, and Purchase Intention were substantiated. The positive influence of these factors on customer usage behavior underscores their significance in shaping user experiences and satisfaction within the telehealth ecosystem. Furthermore, the study posits that facilitating conditions should be closely aligned with technological advancements, as this alignment is conducive to the development of enhanced application features. This insight suggests that telehealth providers should continuously innovate and integrate advanced technologies to ensure that the facilitating conditions meet the ever-evolving needs and expectations of users. © 2023 IEEE.

关键词： Sales

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Air Quality Prediction Based on Air Pollution Emissions in the City Environment Using XGBoost with SMOTE 4

Air Quality Prediction Based on Air Pollution Emissions in t...

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4th IEEE International Conference of Computer Science and information technology, ICOSNIKOM 2022

作者： Nababan, Adli A Sutarman Zarlis, Muhammad Nababan, Erna B Universitas Sumatera Utara Faculty of Computer Science and Information Technology Department of Computer Science Medan Indonesia Universitas Sumatera Utara Faculty of Mathematics and Natural Sciences Department of Mathematics Medan Indonesia Binus Graduate Program-Master of Information Systems Management Bina Nusantara University Department of Information Systems Management Jakarta Indonesia

ISBN: (纸本)9798350399073

Air pollution makes it worse in populated regions. Indonesia's major cities are also impacted by air pollution. Due to rising traffic, material consumption by vehicles, industrial growth, land burning, and garbage collection, air quality has altered significantly. Accurate measurement and classification of air quality are required. Results of accurate classification aid in forming governmental regulations. To reach the criteria for livable air quality, we intend to manage controls. Some of the characteristics of air pollution include particulate (PM10) or PM25, sulfides (in the form of SO2), carbon monoxide (CO), ozone (O3), and nitrites (NO2). Using the XGBoost algorithm and synthetic minority oversampling (SMOTE) methods based on the Air Pollution Standard Index (ISPU) category, this study seeks to uncover factors that affect air quality. XGBoost, an ensemble machine learning approach built on a decision tree and applying a gradient reinforcement framework, is the classification algorithm in use. Air quality categorization has been tested and shown to work with the XGBoost algorithm. The dataset used in this study is air quality in 2021 which was collected by the Jakarta Environmental Ministry The proposed classification model will be evaluated using the Repeated k-fold cross-validation method for objective results. The results of the study prove that SMOTE and XGBoost have better performance than using only the XGBoost method in predicting air quality, where the overall accuracy value of SMOTE with XGBoost is 99.60%, The overall precision value is 99.60%, the overall recall value is 99.60% and the overall f1-score is 99.60% and the overall ROC AUC value is 99.96%. The overall SMOTE method with the proposed XGBoost has given better performance in air pollution prediction. © 2022 IEEE.

关键词： Air quality

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A parallel algorithm for embedding large pyramids into smaller hypercubes with load balancing

A parallel algorithm for embedding large pyramids into small...

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International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN)

作者： Y.W. Chen K.L. Chung Department of Information Management Graduate Program of Information Engineering National Taiwan University of Science and Technology Taipei Taiwan

Consider a pyramid with n levels and a k-dimensional hypercube, 0/spl les/k/spl les/2n-2. The paper presents a parallel algorithm for embedding large pyramids into smaller hypercubes with load balancing. With dilation 4, congestion at most 2/sup n-k/2/+4, and load [2/sup 2n-k//3] when k is even, our algorithm embeds the pyramid into the hypercube, otherwise, with the same dilation and load, it has congestion 2/sup n-(k+1)///sup 2+1/+6 when k is odd. The algorithm can be performed in O(k)-bit time.

关键词： Parallel algorithms Hypercubes Load management information management Image processing Pattern recognition Terminology

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An image mining based approach to detect pressure ulcer stage

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Pattern Recognition and Image Analysis 2014年第2期24卷 292-296页

作者： Guadagnin, R. Neves, R.de S. Santana, L.A. Guilhem, D.B. MS Program on Information Technology and Knowledge Management SGAN 916 Modulo B Catholic University of Brasilia 70790-160 Brasilia DF Brazil 72.300-175 Samambaia DF Brazil Bachelor Degree on Physiotherapy Catholic University of Brasilia Campus I QS 07 Lote 01 EPCT 71966-700 Aguas Claras Taguatinga DF Brazil

Treatment of pressure ulcers (PU) is essentially image dependent, because its surface provides relevant visual information for medical procedures. There is an increasing interest to adapt information technology advances for a more effective medical image processing. Artificial Intelligence concerned techniques, say Image Mining, can be very helpful to manage large amount of PU images in order to increase productivity of health professionals and patients life quality. This paper proposes an Image Mining based system for automatic interpretation of tissue and color to support the treatment of patients with PU. © 2014 Pleiades Publishing, Ltd.

关键词： Patient treatment

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A model of service-oriented architecture of e-certification system to support boat registration and site visit inspection to support maritime safety and crew health inspection

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Marine Systems and Ocean technology 2023年第1-2期18卷 45-63页

作者： Saputra, Diaz Gaol, Ford Lumban Abdurachman, Edi Sensuse, Dana Indra Matsuo, Tokuro Department of Computer Science BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Department of Computer Science Binus Graduate Program - Master in Information System Bina Nusantara University Jakarta11480 Indonesia Department of Research in Management Bina Nusantara University Jakarta Indonesia Faculty of Computer Science University of Indonesia Jakarta Indonesia Advanced Institute of Industrial Technology Tokyo Japan City University of Macau China Asia University Taichung Taiwan

This article describes the architecture of software services that provide registration of small boat data to build maritime safety. The proposed system architecture which so-called SIMKAPEL aims to support small boat registration for maritime safety. It is developed from a conventional service-oriented architecture (SOA) with an open standard for data interoperability between elements. The goal of this research is to implement and evaluate the proposed architecture to support small boat registration and e-certification. Several parts of the architecture have been implemented as a platform that provides core services and data sources to be used by Ministry of Transportation, Directorate General of Sea Transportation, and other government agencies. Finally, the proposed SIMKAPEL platform with the SOA architecture is evaluated for its benefits to users through the expert opinion survey to measure its efficiency. The analysis results showed that SOA-based SIMKAPEL is feasible to use as a boat e-certification system. Furthermore, experiment results provide three parameters (e.g., maritime safety, namely, cargo/passengers, boat safety facilities, and maritime safety systems) with efficiency values of 42%, 46%, and 42%, respectively. The parameter with the highest efficiency shows a big effect on the level of safety of the boat and passengers. Thus, the parameters that need to be prioritized and need boat owners’ attention are cargo/passenger, boat safety equipment, and maritime safety system. © 2023, The Author(s).

关键词： Boat e-certification Boat online certification Cloud-based service Integrated system SOA architecture

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