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Blockchain Technology Adoption Model to Increase Transparency in the Use of SME Funding Assistance 4

Blockchain Technology Adoption Model to Increase Transparenc...

引用

4th International Conference on Electrical Engineering and Computer Science, ICECOS 2024

作者： Inavatulloh Kusumadi Hartono, Indra Deviarti, Holly Wang, Gunawan Zarlis, Muhammad School of Information System Bina Nusantara University Jakarta Information Systems Department 11480 Indonesia School of Accounting Bina Nusantara University Accounting Department Jakarta Indonesia School of Information System BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Information Systems Department Information Systems Management Department Jakarta11480 Indonesia BINUS Graduate Program-Master of Information System Management Bina Nusantara University Information System Management Department Jakarta11480 Indonesia

ISBN: (纸本)9798350368253

SMEs, as part of the country's economic driver, make a significant contribution to increasing the country's economic growth by absorbing labour and developing development results. However, SMEs experience many obstacles in developing their businesses, and one of the problems is financial limitations. Several efforts have been made to strengthen SMEs' finances, but financial assistance cannot help SMEs develop their businesses. The cause is weak supervision over the use of funds originating from government assistance or other institutions, so that these funds are not used effectively to develop SME businesses. Thus, the aim of this research is to increase transparency in the monitoring of MSME financial assistance using blockchain technology. The adoption of blockchain technology for MSME financial assistance involves creating a consensus about the source and use of financial assistance stored in smart contracts. All stakeholders must be registered as blocks that will join the blockchain network. The research uses a qualitative approach through a literature review to analyse phenomena and identify problems with financial assistance for MSMEs. The result of this research is a model for adopting blockchain technology to increase transparency in the use of financial assistance for SMEs. The research results also show examples of data simulations using the Hyperledger framework. The research conclusion shows that the application of blockchain in the distribution of funds for SMEs can increase transaction transparency for the government, banks, and SMEs. © 2024 IEEE.

关键词： Decentralized finance

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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...

引用

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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Implementation of Notification Service on Web-Based IoT Applications 10

Implementation of Notification Service on Web-Based IoT Appl...

引用

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

作者： Antony, Dicky Fajar, Ahmad Nurul Bina Nusantara University Binus Graduate Program-Master of Information System Management Information Systems Management Department Jakarta11480 Indonesia

ISBN: (纸本)9798350339543

Indonesia is currently the 8th largest fruit-producing country in the world with production reaching 24.9 million tons per year (World Fruit Map Data) and is supported by various supporting environmental factors such as soil suitable for the needs of fruit plants that can growth, agrarian soil conditions and other factors. However, currently many farmers are harvesting fruit but the results are many that do not meet standards such as lack of water content, soil conditions, or other things. For this reason, regular control is needed so that it can benefit farmers and also make it easier for them to farm fruit. One way that can be done is to use a fruit sensor to monitor the condition of the fruit and take action if something happens to the condition of the fruit or the plant. By implementing an IoT service system as an application that can improve the quality of fruit produced from these plants. © 2023 IEEE.

关键词： Python

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Development of Monitoring System Website Based on IoT Devices as a Solution to Plant Planting and Maintenance Process in Water Media 10

Development of Monitoring System Website Based on IoT Device...

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

作者： Syauqi, Muhammad Irfan Fajar, Ahmad Nurul Bina Nusantara University Binus Graduate Program-Master of Information System Management Information Systems Management Department Jakarta11480 Indonesia

ISBN: (纸本)9798350339543

Every industry will adopt technology to carry out its operations so that progress can occur. However, one industry is the urban agriculture industry, which is a sure thing in modernization (smart farming). Therefore, the Internet of Things must also be integrated into smart farming to advance the agricultural industry which will be created as a training system with the IoT framework making it easier for the public to learn more about the measurement levels of each plant. This is made possible using monitoring systems for various variables, including temperature, sunlight, humidity, CO2, and air quality. However, the authors focus on conducting a special monitoring system for water media by detecting the pH level and water temperature. This system uses an IoT sensor that is connected to a hardware device (microcontroller) and the internet which can be accessed via a website or mobile application. The community will use the concept and manufacture of this tool to help smart farming in urban areas, which will be explored and practiced © 2023 IEEE.

关键词： Websites

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L2 Input-to-State Stability and Stabilization of Coupled Linear ODE-Hyperbolic PDE systems∗ 63

L2 Input-to-State Stability and Stabilization of Coupled Lin...

引用

63rd IEEE Conference on Decision and Control, CDC 2024

作者： Coutinho, Daniel Andrade, Gustavo Artur De Carvalho, Franthiescolly Vieira De Federal University of Santa Catarina Department of Automation and Systems Engineering Florianópolis88040-370 Brazil Federal University of Santa Catarina Post-graduate Program in Automation and Systems Engineering Florianópolis88040-370 Brazil

ISBN: (纸本)9798350316339

This paper addresses the problem of input-to-state stability (ISS) and stabilization of linear ordinary differential equations (ODEs) coupled with a system of homogeneous linear hyperbolic partial differential equations (PDEs) through the boundaries. First, a Lyapunov result characterizing the ISS property for finite-dimensional systems is extended to deal with coupled ODE and PDE systems. The proposed ISS condition is then applied to derive stability and stabilization conditions in terms of linear matrix inequality constraints assuming magnitude bounded disturbances at the boundaries. Two convex optimization problems are also proposed in order to obtain either an optimized reachable set estimate or a boundary controller that minimizes the disturbance effects on the L2 × R-norm of the system states. Numerical examples illustrate the potential of the proposed approach. © 2024 IEEE.

关键词： Convex optimization

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Blockchain Technology Model for Building SME Business Sustainability through SME Collaboration

Blockchain Technology Model for Building SME Business Sustai...

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2024 International Conference on Circuit, systems and Communication, ICCSC 2024

作者： Inayatulloh, Inayatulloh Mailangkay, Adele Deviarti, Holly Wang, Gunawan Hartono, Indra Kusumadi Zarlis, Muhammad Bina Nusantara University School of Accounting Accounting Department Jakarta Indonesia Bina Nusantara University School of Information System Information Systems Department Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program - Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program - Master of Information System Management Information System Management Department Jakarta11480 Indonesia

ISBN: (纸本)9798350365306

SMEs are small and medium-scale businesses that play an important role in the country's economy. However, SMEs have many limitations that hinder their development. Limitations in knowledge, finance, technology, marketing, and human resources are fundamental problems that hinder the development of SMEs. Several efforts have been made to help SMEs develop their businesses, one of which is a partnership program with large companies. Large companies can provide support in terms of financing, training, marketing, and product development to SMEs as part of corporate social responsibility (CSR) and also involve the government. However, currently there is no monitoring mechanism that provides transparent and valid information regarding collaboration activities involving SMEs, large companies, and the government. Thus, the aim of this research is to build a blockchain model to increase the transparency of information on collaboration/ partnership activities involving SMEs, large companies, and the government. The research uses a qualitative approach through a literature review to identify SME partnership problems. Literature reviews are also used to study the concept of blockchain technology, which can be adopted as a solution to SME partnership problems. The research result is a model for adopting blockchain technology to support SME partnerships. The research results also present examples of SME partnership data simulations using the Fabric Hyperledger framework. © 2024 IEEE.

关键词： Decentralized finance

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Urban Digital Twins for Synthetic Data of Individuals with Mobility Aids in Curitiba, Brazil, to Drive Highly Accurate AI Models for Inclusivity

Urban Digital Twins for Synthetic Data of Individuals with M...

引用

8th International Conference on Science, Technology and Innovation for Society, CITIS 2023

作者： Luna-Romero, Santiago Felipe Stempniak, Charles Roberto de Souza, Mauren Abreu Reynoso-Meza, Gilberto Health Technology Graduate Program Pontifícia Universidade Católica do Paraná Curitiba80215-901 Brazil Automa Geo "Digital Twin Platform" Curitiba Brazil Industrial and Systems Engineering Graduate Program Pontifícia Universidade Católica do Paraná Curitiba80215-901 Brazil

ISBN: (纸本)9783031520891

This article delves into the significance of urban digital twins in generating synthetic data specifically tailored for individuals with disabilities. It explores how this data can be effectively utilized to construct artificial intelligence (AI) models that promote inclusivity and enhance accessibility in urban environments. The article thoroughly examines the challenges and opportunities associated with acquiring data on individuals with disabilities, taking into account the ethical and practical implications of generating and utilizing synthetic data for the development of accessible and inclusive technologies. Using the city of Curitiba, Brazil as a case study, which has undergone scanning, digitization, and transformation into an urban digital twin, avatars have been strategically placed to enable the detection of individuals with disabilities within diverse scenarios and perspectives in urban environments. Consequently, this approach provides a diverse and realistic representation of the situations in which individuals with disabilities may find themselves in urban settings, contributing to advancements in urban planning and technology by emphasizing the importance of digital twins in generating synthetic data to promote inclusivity and accessibility for individuals with disabilities. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Computer vision

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Development of Key Performance Indicators in e-Learning Implementation in Higher Education Institutions 8

Development of Key Performance Indicators in e-Learning Impl...

引用

8th International Conference on Information Management and Technology, ICIMTech 2023

作者： Sardjono, Wahyu Kristin, Desi Maya Putra, Gustian Rama Binus Graduate Program - Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Pakuan University Computer Science Study Program Faculty of Mathematics & Natural Sciences Bogor Indonesia

ISBN: (纸本)9798350326093

Companies or organizations usually use key performance indicators (KPI) as indicators to determine their performance. The company's performance achievements are reflected in the set indicators that will describe the overall performance, as well as higher education institutions can also set key performance indicators, to see their performance achievements. The use of e-learning as a tool to support teaching and learning processes to be more effective and efficient is an example of which performance needs to be measured. This article discusses how the process of developing key performance indicators is carried out through the stages of designing questionnaires and distributing questionnaires to students, data is processed using the method of factor analysis to obtain the main indicators determining performance and the method of regression analysis is also used to build performance models. obtain KPI determinants, and then develop KPI models. The results show that there are indicators of sharing knowledge, managing knowledge, understanding knowledge, and utilization knowledge as performance measurement indicators. © 2023 IEEE.

关键词： Regression analysis

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Model of Customer Relationship Management systems Evaluation Using Factor Analysis 8

Model of Customer Relationship Management Systems Evaluation...

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8th International Conference on Information Management and Technology, ICIMTech 2023

ISBN: (纸本)9798350326093

Relationship with customers is one of the most crucial factors in business continuity and development. Many current businesses have started delving into Customer Relationship Management (CRM) to establish and maintain their sales and customer relationships. This research was conducted on one retail company that implements CRM but experiencing a gap in their unit sales performance between their targeted sales and the realization. This study aims to analyze the gaps causing factors using Factor Analysis Method, constructing a suitable regression model, and proposing the company's necessary strategy. The research was conducted quantitatively using a questionnaire from 264 respondents. The result of this study showed that there are five causing factors which are CRM Reliability, Underutilization of CRM, CRM Capability, CRM Unpreparedness, and Customer Relation Quality, as well as forming a regression model of the company's CRM performance. © 2023 IEEE.

关键词： Sales

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A Note on Even-Sized Spectral Clustering 13

A Note on Even-Sized Spectral Clustering

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Joint 13th International Conference on Soft Computing and Intelligent systems and 25th International Symposium on Advanced Intelligent systems, SCIS and ISIS 2024

作者： Miyakawa, Hiroki Endo, Yasunori Graduate School of Science and Technology Degree Programs in Systems and Information Engineering Master's Program in Risk and Resilience Engineering University of Tsukuba Ibaraki Tsukuba Japan Institute of Systems and Information Engineering University of Tsukuba Ibaraki Tsukuba Japan

ISBN: (纸本)9798350373332

Clustering is a typical unsupervised learning method for classifying unsupervised data. One of the clustering meth-ods, even-sized clustering based on optimization (ECBO), is a clustering algorithm that imposes a constraint to equalize the size of each cluster. ECBO has been suggested to be effective in delivery and other problems. However, it is limited to Euclidean space. On the other hand, spectral clustering with a wide range of applicability for partitioning graph data has been proposed. In this paper, we propose even-sized spectral clustering, which imposes a size-equal constraint on spectral clustering, and show that it is an extension of the graph partitioning problem. We also verify the validity of the results through numerical examples. © 2024 IEEE.

关键词： Unsupervised learning

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