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5th International Conference on Advancement in Data Science, E-Learning and Information systems, ICADEIS 2023

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Cholidin, Achmad Bina Nusantara University BINUS Graduate Program Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia State University of Jakarta Post Graduate Program of Management Science Jakarta13220 Indonesia University of Muhammadiyah Jakarta Law Study Program Faculty of Law Indonesia

ISBN: (纸本)9798350303414

Technology in the tax field is evolving by the minute. Digital technology has many implications for development in various fields. One of them is the field of economics. One of the latest technologies is the Internet of Things, which has attracted the attention of various organizations and governments, more precisely the tax authorities. This research tries to illustrate the impact of the Internet of Things on taxation. The researcher used qualitative research with literature survey methods. Data were collected from various journals, media publications, articles, and previous research papers. The study's findings indicated that the Internet of Things (IoT) is crucial to the development of control technologies. This supports the Director General of Taxes' (DGT) goal of using big data analytics to optimize the potential of digital taxes through his two mechanisms: predictive analytics and tax ranking. © 2023 IEEE.

关键词： Taxation

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Evaluation Model of Urban Regional Knowledge management systems in Indonesia for Natural Disaster Mitigation 6

Evaluation Model of Urban Regional Knowledge Management Syst...

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6th International Conference on Cybernetics and Intelligent System, ICORIS 2024

作者： Sardjono, Wahyu Maryani Retnowardhani, Astari Lusia, Erma Zarlis, Muhammad Perdana, Widhilaga Gia Information Systems Management Department BINUS Graduate Program Bina Nusantara University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Tourism Department Faculty of Economics & Communication Bina Nusantara University Jakarta Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta Indonesia

ISBN: (纸本)9798331539603

Nearly the whole Indonesian Archipelago is threatened by earthquake hazards, both on a small and large scale. This indicates Indonesia's susceptibility to earthquakes, tsunamis, volcanic eruptions, and other geological calamities. With the assistance of other pertinent ministries and institutions, the National Disaster management Agency (BNPB) in Indonesia is in charge of carrying out disaster management at the national level. In order for mitigation to function effectively and efficiently, this research is vital since it is based on the establishment of an evaluation model for an urban knowledge management system in Indonesia. The goal of the project is to create an assessment model for Indonesian urban knowledge management systems that can be applied to the deployment of autonomous socialization programs for disaster mitigation. Factor analysis and regression analysis are the primary techniques used in this work. Regression analysis is used to create a model that can represent the current state of mitigation socialization and be used to develop implementation strategies in the future. Factor analysis is used to identify dominant factors in the implementation of knowledge management systems that support independent socialization. © 2024 IEEE.

关键词： Disaster prevention

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Placement of information systems as a strategic tool for achieving company objectives 7

Placement of information systems as a strategic tool for ach...

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7th Information systems International Conference, ISICO 2023

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Cholidin, Achmad Salim, Guntur 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 Law Study Program Faculty of Law University of Muhammadiyah Jakarta Indonesia Post Graduate Program Faculty of Economic Science University of Trisakti Jl. Kyai Tapa No. 1 Grogol Jakarta11440 Indonesia

The information system is a strategic tool for the goals but is considered not optimal because there are indications that long-term target strategies have not been achieved. it is necessary to identify the factors that influence this success so that a model can be built that describes the achievement of the company's strategic objectives. The research was conducted with a quantitative approach through an analysis of data using factor analysis and regression analysis. The results of the study show three factors that influence strategic goals in companies, namely Leadership & Organizational, Goals Visualization, and Enterprise-wide Awareness. © 2023 The Authors. Published by Elsevier B.V.

关键词： Factor analysis

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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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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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Adoption of Artificial Intelligence in Response to Industry 4.0 in the Mining Industry 1

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International Conference on Innovative Technologies in Intelligent systems and Industrial Applications, CITISIA 2022

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Information Systems Management Department Master of Information Systems Management BINUS Graduate Program Bina Nusantara University Jl. K. H. Syahdan No. 9 Kemanggisan Palmerah Jakarta11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jl. R.Mangun Muka Raya No.11 Jakarta Timur Jakarta13220 Indonesia

ISBN: (数字)9783031290787

ISBN: (纸本)9783031290770

Nowadays The Industrial Revolution 4.0 is identified by the growing implementation of technology in every business, one of the technologies it called Artificial Intelligence (AI). AI gives a solution for a company to manage efficient operations by finding solutions, relearning data insight, and implementing action to reduce inefficiencies in Operations. The confluence of information technology with industrial process automation and routine jobs provides for better operations, lower costs, and higher process quality. With the ability to extract and control data in real-time connected home and commercial equipment, technologies like big data, the internet of things, information technologies, and robotic operating systems have become important partners and pillars of both industry and society 4.0. PT Delta Dunia Makmur TBK (BUMA), Optimizes its efficient production cost by using Artificial Intelligence in order to help the company to manage its fuel consumption, however, AI has weaknesses due to high dependency on data integrity the company should improve those issues. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Artificial intelligence

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Artificial Intelligence as a New Competitive Advantage in Digital Marketing in the Banking Industry 1

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International Conference on Innovative Technologies in Intelligent systems and Industrial Applications, CITISIA 2022

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Information Systems Management Department BINUS Graduate Program—Master of Information Systems Management Bina Nusantara University Jl. K. H. Syahdan No. 9 Kemanggisan Palmerah Jakarta11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jl. R.Mangun Muka Raya No. 11 Jakarta Timur Jakarta13220 Indonesia

ISBN: (数字)9783031290787

ISBN: (纸本)9783031290770

Digital disruption has entered the banking industry, especially since the era of the COVID-19 pandemic. To remain competitive, every bank must adjust to the digital age. Reputation has a direct impact on a bank’s performance, capacity to draw in new clients, and capacity to keep hold of current ones. Making choices about how to address the difficulties of adopting artificial intelligence must consider these issues (AI). The financial sector as a whole now has a way to meet client expectations for more creative, practical, and secure solutions thanks to artificial intelligence (AI). The bank can swiftly decide which channel to use at what time and what material to target consumers with by utilizing AI. Of course, this is very important considering the shift in customer behavior in the digital era, so AI is expected to assist the Bank in providing products and services that are right on target according to customer needs and create a new competitive advantage. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Artificial intelligence

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Placement of information systems as a strategic tool for achieving company objectives

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Procedia Computer Science 2024年 234卷 1037-1042页

作者： Wahyu Sardjono Widhilaga Gia Perdana Achmad Cholidin Guntur Salim Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Post Graduate Program of Management Science State University of Jakarta Jl. R.Mangun Muka Raya No.11 Jakarta Timur Jakarta 13220 Indonesia Law Study Program Faculty of Law University of Muhammadiyah Jakarta Indonesia Post Graduate Program Faculty of Economic Science University of Trisakti Jl. Kyai Tapa No. 1 Grogol Jakarta 11440 Indonesia

关键词： information system strategic tools company achievement factor analysis

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Disaster recovery plan implementation evaluation model at the corporation

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Procedia Computer Science 2024年 234卷 1658-1663页

作者： Wahyu Sardjono Widhilaga Gia Perdana Gustian Rama Putra Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Post Graduate Program of Management Science State University of Jakarta Jl. R.Mangun Muka Raya No.11 Jakarta Timur Jakarta 13220 Indonesia Computer Science Study Program Faculty of Mathematics & Natural Sciences Pakuan University Bogor Indonesia

关键词： disaster recovery planning factor analysis corporation evaluation model

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Evaluation Model of Urban Regional Knowledge management systems in Indonesia for Natural Disaster Mitigation

Evaluation Model of Urban Regional Knowledge Management Syst...

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International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Wahyu Sardjono Maryani Astari Retnowardhani Erma Lusia Muhammad Zarlis Widhilaga Gia Perdana Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Tourism Department Faculty of Economics & Communication Bina Nusantara University Jakarta Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta Indonesia

ISBN: (数字)9798331539603

ISBN: (纸本)9798331539610

关键词： Prevention and mitigation Disasters Evaluation models Earthquakes Tsunami Knowledge management Regulation Regression analysis Synchronization Monitoring

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