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An Object-Oriented Fuzzy-AHP Decision Model for Education: A Generic Decision Model Based on Bibliometric Driven Review

An Object-Oriented Fuzzy-AHP Decision Model for Education: A...

引用

Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC), IEEE

作者： Ditdit Nugeraha Utama Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331515881

ISBN: (纸本)9798331515898

The challenges in the education sector are extensive, encompassing issues such as human resource selection, technology choice, and business procedure assessment. To address these challenges both academically and practically, decision models can be effectively utilized. This study aims to conduct a bibliometric review to examine the trends in the use of fuzzy logic and identify popular methods combined with fuzzy logic in the development and implementation of decision models in educational contexts. The review results were then used to design a generic education decision model using an object-oriented approach. Based on the analysis of 165 selected articles from the past decade and an in-depth review of 10 articles, the study found that the use of fuzzy logic is growing rapidly, following a tight exponential trend. Additionally, the analytic hierarchy process (AHP) is frequently united with fuzzy logic in developing decision models. Consequently, an object-oriented decision model was designed, featuring 2 decision model blocks (i.e. selection and evaluation), 7 main objects, 9 use cases, and 5 human actors.

关键词： Fuzzy logic Object oriented modeling Education Bibliometrics Asia Analytic hierarchy process Market research Systematic literature review Context modeling Business

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Enhancing Software Quality Through Defect Prediction

Enhancing Software Quality Through Defect Prediction

引用

Creative Communication and Innovative Technology (ICCIT), IEEE

作者： Nyoman Ayu Gita Gayatri Haryono Soeparno Ford Lumban Gaol Yulyani Arifin Dept. of Computer Science BINUS Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350367492

ISBN: (纸本)9798350367508

Prediction of software defects is an important aspect of software quality assurance, aiming to identify defective modules to improve reliability and reduce costs in the maintenance process. A systematic literature review (SLR) on software defect prediction is presented in this study, focusing on identifying commonly used datasets, methods, and frameworks in this domain between 2014 and 2023. The review follows established SLR guidelines to synthesize data from primary studies, providing insight into research trends as well as methodological advances. The results show a significant reliance on public datasets such as the NASA Metrics Data program (MDP) and the PROMISE repository. Various machine-learning techniques have been used, with Neural networks, support vector machines, and random forests becoming the most popular techniques. This review aims to guide future research by highlighting key trends and gaps in the existing literature.

关键词： Support vector machines Measurement Neural networks NASA Software quality Machine learning Market research Software reliability Maintenance Guidelines

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Software Quality Assessment Methods and Standards in Weld Defect Detection for Shipbuilding

Software Quality Assessment Methods and Standards in Weld De...

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International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Yonky Pernando Ford Lumban Gaol Haryono Soeparno Yulyani Arifin Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331539603

ISBN: (纸本)9798331539610

Shipbuilder safety and performance, structural integrity of welded joints in shipbuilding is of utmost importance. Traditional manual inspection methods to detect any potential defect can be time consuming and susceptible to human errors; alternative inspection systems have proven more cost effective and accurate solutions than manual approaches for defect identification. This paper investigates how advanced software quality assessment standards and machine learning techniques such as Convolutional Neural Networks (CNNs) and You Only Look Once (YOLO) object identification framework can enhance weld defect detection. Research undertaken for this thesis addresses three core questions. 1) Which standards provide effective software quality assessments used for weld defect detection systems?; and 2) In what ways will they impact efficiency and reliability. How will implementation of these standards increase accuracy in manufacturing processes? Integrating high-quality annotated datasets, optimizing joint preparation and parameter settings, and using cloud solutions for computing needs can enable industries to achieve more reliable, efficient, and scalable defect detection. This proactive approach not only enhances immediate product quality, but also contributes to long-term durability and performance, decreasing maintenance costs and increasing overall reliability for steel plates used for marine applications. Furthermore, evidence has revealed that adopting software quality assessment standards in weld defect detection significantly enhances structural integrity as well as operational efficiency of shipbuilding operations.

关键词： YOLO Costs Welding Software quality Manuals Inspection Software reliability Convolutional neural networks Standards Defect detection

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High resolution and high sensitivity imaging magnetometer with magnetic nanoparticle and optical heterodyne detection

High resolution and high sensitivity imaging magnetometer wi...

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2024 Laser science, LS 2024

作者： Bartos, Jan Ba Tis, Taleb Park, Wounjhang Huang, Shu-Wei Department of Electrical Computer and Energy Engineering University of Colorado Boulder80309 United States Material Science and Engineering Program University of Colorado Boulder80309 United States

We present progress towards an imaging magnetometer using a magneto-optical polymer nanocomposite thin film, experimentally demonstrating 29nT/√Hz sensitivity with © 2024 The Author(s). © Optica Publishing ... 详细信息

关键词： Heterodyne detection

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On-chip meta-lens based Adaptive Integrated Photonic Imager

On-chip meta-lens based Adaptive Integrated Photonic Imager

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Kim, Jong Ryul Jeong, Heijun Gu, Tingyi Quantum Science and Engineering Program University of Delaware NewarkDE19711 United States Electrical and Computer Engineering University of Delaware NewarkDE19711 United States

ISBN: (纸本)9781957171395

关键词： Adaptive optics

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Towards the Fun Therapy on People with Mental Disorder - Analysis on Serious Game for Mental Therapy

Towards the Fun Therapy on People with Mental Disorder - Ana...

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International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Galih Dea Pratama Haryono Soeparno Yulyani Arifin Ford Lumban Gaol Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331539603

ISBN: (纸本)9798331539610

Mental health is one of the states of well-being which enables people to cope with various things in everyday life. Despite that, mental health is often overlooked, driving the emergence of numerous mental disorders on people. Along the presence of technological advancements, there is serious game which is utilized to entertain and achieve non-game goals related to real-life issues. Due to that, serious game can be leveraged as a media put into health sectors, particularly in presenting fun therapy to people diagnosed with mental disorders. This research presents systematic literature review on publications discussing the utilization of serious game in providing fun therapy for people with mental disorders, focusing on matters like the mental disorders emphasized within, the game elements presented in each publication, and ways to evaluate the serious game. The result indicates overall well-received responses regarding the usage of serious game in serving the purpose, albeit with different ways on evaluation process based on the mental disorders each publication addressed for.

关键词： Mental disorders Medical treatment Games Mental health Media Mobile handsets Serious games Usability Intelligent systems Systematic literature review

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A Systematic Literature Review: Challenges of Security Optimization while Maintaining a Good Accessibility in Internet of Things

A Systematic Literature Review: Challenges of Security Optim...

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Electronic and Electrical Engineering and Intelligent System (ICE3IS), International Conference on

作者： Devin Gunadi Tampubolon Gerald Nathaniel Widodo Janet Sweetmay Margaretha Alexander Agung Santoso Gunawan Ivan Sebastian Edbert Computer Science Department Cyber Security Program School of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department Computer Science Program School of Computer Science Bina Nusantara University Jakarta Indonesia

The Internet of Things (IoT), which has had a tremendous development in recent years, has altered many aspects of daily life by giving rise to commercial tools, home automation, wearable technology, and the framework for smart cities. The modern fantasy of having remote control over several parts of life has been realized because to this continuous connectivity and the ability of devices to acquire and interpret information. However, the various features and functionalities of IoT devices are a double-edged sword because they introduce a number of security flaws and dangers. Through a Systematic Literature Review (SLR), we explore vulnerabilities and their mitigation strategies based on prior research in the field. Notably, while the importance of security in IoT is paramount, especially considering the sensitivity of data involved, there exists a challenge in striking a balance between robust security and user convenience. It's imperative that while bolstering security, we do not compromise on user accessibility. This paper presents a comprehensive discourse addressing the dual challenges of security and accessibility in the IoT landscape. Our findings underscore the urgent need for layered security protocols, encryption, and user authentication to counteract the escalating cyber threats. We conclude by proposing a balanced solution that ensures both security and accessibility in the IoT ecosystem.

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Multi-step ahead wind power forecasting based on N-BEATS model

Multi-step ahead wind power forecasting based on N-BEATS mod...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Agottani, Luis Fernando Rodrigues Girardi, Matheus Melara De Souza Chaves, Wendel Rafael De Azevedo Takara, Lucas Dos Santos Coelho, Leandro Mariani, Viviana Cocco Federal University of Parana Graduate Program in Mechanical Eng. Curitiba Brazil Pontifical Catholic University of Parana Department of Computer Science Curitiba Brazil Federal University of Parana Graduate Program in Electrical Eng. Curitiba Brazil

ISBN: (纸本)9789531842976

For wind power systems to operate successfully and efficiently, accurate forecasting is critical. The integration of large wind farms with smart grid technology mainly depend on accurate models for wind power output prediction. This study introduces a neural basis expansion approach named N-BEATS (neural basis expansion analysis for interpretable time series forecasting) for time series multi-step wind power forecasting. N-BEATS is a deep neural network architecture composed of multiple fully connected layers, arranged with both forward and backward residual connections. The performance of N-BEATS was benchmarked using classical approaches including AutoRegressive Integrated Moving Average (ARIMA), Seasonal AutoRegressive Integrated Moving Average (SARIMA), Holt-Winters, and the recurrent neural network named Long Short-Term Memory (LSTM). All models hyperparameters were tuned by Bayesian optimization. The N-BEATS model demonstrated superior forecasting scores and outperformed traditional methods in metrics such as mean absolute error and root mean square error for different forecasting horizons. © 2024 IEEE.

关键词： Wind forecasting

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The Utilization of Mobile Communication on Marketing: A Systematic Review 8

The Utilization of Mobile Communication on Marketing: A Syst...

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8th International Conference on computer science and Computational Intelligence, ICCSCI 2023

作者： Permana, Adora Vania Purnomo, Agung Sarjono, Haryadi Maulana, Fairuz Iqbal Setyani, Etsa Astridya Entrepreneurship Department BINUS Business School Undergraduated Program Bina Nusantara Univerisity Jakarta11480 Indonesia Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

The advancement of mobile communication technology with entrepreneurial minds is advancing, and its use is increasingly playing an important role in business, marketing, and life. However, there are not many studies that focus on the role of mobile communication in the business world, especially those that focus on marketing. The purpose of writing this paper is to determine the status of research and the relationship between mobile communication in the field of marketing. The method used in this research is systematic literature review using the PRISMA protocol, involving 29 articles. Through quantitative analysis, we found that many years of article publication occurred mostly in 2020 due to the development of 5G technology. Australia is the largest article producing country in the world because many researchers are trying to examine public acceptance of mobile communication technology. The use of mobile communication is also mostly used in the marketing and segmentation processes in multilevel firm level marketing with multipoint mobile communication. On the other hand, articles with a marketing perspective that discuss price issues have never been discussed. © 2023 The Authors. Published by Elsevier B.V.

关键词： Entrepreneurship marketing systematic review

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Development of Financial Planner Application Software Based on Waterfall Model 9

Development of Financial Planner Application Software Based ...

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9th International Conference on ICT for Smart Society, ICISS 2022

作者： Imanuel, Jason Kintanswari, Lusia Vincent Anggreainy, Maria Susan Yusuf, Sablin Sembiring Kembaren, Sula Yosege School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Postgraduate Program Bakrie University Jakarta12940 Indonesia

ISBN: (数字)9781665471350

ISBN: (纸本)9781665471350

Financial planning is necessary, especially for those who started to have savings. It can be achieved through thorough planning, organizing, directing, and controlling financial activities. To overcome these problems, we developed and designed the financial planner app. It can help all our users to control their money flow according to their budgets every month. In developing this project, Business Model Canvas is used to assess the key points and Waterfall Model is used to define the process. All requirements of the financial planner app are modeled using Use Case Diagram. To cope with the reduplication of coding for the app development, we used the Object-Oriented approach and made a Class Diagram to portray the relation between objects involved. Besides that, we also use Sequence Diagram to develop the flow process of our system. We also developed a prototype of the User Interface to give a picture of how the app's visuals. Finally, we used the Black Box Method for testing the 'Financially' app and the results are given in the form of tables representing every page. We hope that this 'Financially' app will be helpful and the impacts on our users align with the purpose of the creation of the app. © 2022 IEEE.

关键词： Application programs

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