IAIC Transactions on Sustainable Digital Innovation (ITSDI)
IAIC Transactions on Sustainable Digital Innovation (ITSDI e-ISSN : 2715-0461 , p-ISSN : 2686-6285 ) managed by Indonesian Association on Informatics and Computing (IAIC) and supported by Alphabet Incubator . ITSDI provides media to publish scientific articles from scholars and experts around the world related to the Computer Science/informatics, Computer engineering/computer systems, Software Engineering, Information Technology, and Information Systems, Circular Digital Economy, Cyber Security, Data Science, and Artificial Intelligence topics. All URL of published articles will have a digital object identifier (DOI).
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<![CDATA[Operating System and Server Integration for Business Effectiveness ]]>
<![CDATA[Apriani, Desy]]>;
<![CDATA[Afrijaldi, Rizki]]>;
<![CDATA[Auliya, Nur]]>;
<![CDATA[Darmawan, Aden Andre]]>
<![CDATA[ IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 2 (2024): April ]]>
Publisher : <![CDATA[Pandawan Sejahtera Indonesia ]]>
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DOI: 10.34306/itsdi.v5i2.615
<![CDATA[Management Information Systems (MIS) have a crucial role in supporting the effectiveness of a company or agency. A strong MIS ensures optimal internal planning and control, involving people, documents, technology and procedures. The importance of MIS demands synergistic integration between the operating system and servers to manage hardware resources and store information efficiently. This research aims to explore the factors that influence SIM in the context of operating system and server integration. The focus is on understanding the impact of this integration on business effectiveness, particularly in terms of planning, control and data storage. Research reveals that the integration of operating systems and servers positively contributes to increasing SIM effectiveness. Harmonious cooperation between the operating system and servers encourages optimization of hardware resource management and information storage, supporting more efficient internal planning and control. These findings provide a new view regarding the importance of operating system and server integration in optimizing SIM. The implementation of this integration is expected to improve business performance through more accurate planning, tight control and efficient data storage. The novelty of this research lies in the integrative approach to operating systems and servers in the context of SIM. A deeper understanding of these relationships can provide practical guidance for companies to improve the effectiveness of their information systems.]]>
<![CDATA[Factors Influencing the Effectiveness of Information System Governance in Higher Education Institutions (HEIs) through a Partial Least Squares Structural Equation Modeling (PLS-SEM) Approach ]]>
<![CDATA[Ramayah, Tarisya]]>
<![CDATA[ IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 2 (2024): April ]]>
Publisher : <![CDATA[Pandawan Sejahtera Indonesia ]]>
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DOI: 10.34306/itsdi.v5i2.658
<![CDATA[This research aims to investigate the factors that influence the effectiveness of Information Systems (IS) Governance in Higher Education Institutions (IPT) using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The background of this research reflects the importance of IS in supporting operations, management and decision making in a higher education environment that is increasingly complex and dependent on technology.The PLS-SEM method analyzes the relationship between key variables that influence the effectiveness of IS governance at IPT. It is a powerful multivariate statistical approach that allows factor analysis and regression in a single framework, allowing researchers to holistically understand how factors relate to each other. The results of this research will likely provide valuable insight for decision-makers at IPT in improving IS management and utilization. Practical implications include the development of more effective policies, better management strategies, and improved IS infrastructure. In addition, this research is also expected to provide an essential contribution to academic literature in understanding the factors that influence the effectiveness of IS governance in the higher education context. By better understanding the factors that influence the effectiveness of IS governance, IPT can increase its competitiveness, improve the quality of educational services, and support the achievement of its strategic goals. This research is expected to significantly contribute to understanding how IS governance can be implemented and managed more effectively in higher education environments through the PLS-SEM approach.]]>
<![CDATA[Analyzing the Influence of Artificial Intelligence on Digital Innovation: A SmartPLS Approach ]]>
<![CDATA[Harfizar]]>;
<![CDATA[Wicaksono, Muhammad Wisnu]]>;
<![CDATA[Hakim, Miftah Baidhowi]]>;
<![CDATA[Wijaya, Fadly Hadi]]>;
<![CDATA[Saleh, Taufikurrahman]]>;
<![CDATA[Sana, Eirene]]>
<![CDATA[ IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 2 (2024): April ]]>
Publisher : <![CDATA[Pandawan Sejahtera Indonesia ]]>
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DOI: 10.34306/itsdi.v5i2.659
<![CDATA[This study investigates the influence of Artificial Intelligence (AI) on digital innovation using a SmartPLS approach, drawing insights from a dataset comprising 156 relevant observations. In the rapidly evolving digital landscape, AI has emerged as a powerful driver of innovation, reshaping organizational processes and outcomes across various sectors. Through a comprehensive analysis, the research explores the intricate relationships between AI adoption and digital innovation outcomes, addressing key questions regarding the extent to which AI influences process efficiency, product quality, and service creativity. The findings reveal significant correlations, highlighting the role of AI in enhancing organizational readiness, technological integration, and data quality. Moreover, the study identifies the critical importance of fostering an innovation culture and implementing effective change management strategies to leverage the full potential of AI-driven digital transformation. The robustness of the SmartPLS model is confirmed through substantial R-Square values and path coefficients, affirming the validity of the research hypotheses. Overall, this research contributes to a deeper understanding of the mechanisms through which AI influences digital innovation, offering actionable insights for businesses, policymakers, and researchers seeking to navigate and harness the potential of AI-driven digital transformation.]]>
<![CDATA[Economic Preneur's Innovative Strategy in Facing the Economic Crisis ]]>
<![CDATA[Shino, Yamato]]>;
<![CDATA[Utami, Fransisca]]>;
<![CDATA[Sukmaningsih, Sekar]]>
<![CDATA[ IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 2 (2024): April ]]>
Publisher : <![CDATA[Pandawan Sejahtera Indonesia ]]>
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DOI: 10.34306/itsdi.v5i2.660
<![CDATA[The global economic crisis has placed significant pressure on Economic Preneurs, compelling them to adopt innovative strategies to sustain their businesses amidst challenges. This research delves into the myriad of innovative strategies employed by Economic Preneurs to effectively navigate economic downturns. Utilizing a qualitative research methodology, the study conducts in-depth interviews with fifty Economic Preneurs spanning various industries. The findings shed light on the effectiveness of several strategies, including digital transformation, diversification of service offerings, and a heightened emphasis on customer value optimization. Through these strategies, Economic Preneurs strive to adapt to changing market conditions and customer preferences, ensuring the resilience and viability of their enterprises. Ultimately, it is observed that Economic Preneurs who demonstrate agility and innovation in response to economic challenges are more likely to not only weather financial adversities but also thrive and expand their enterprises. This study contributes to the existing body of literature by offering empirical evidence on resilience tactics utilized during economic crises and provides practical insights for business leaders and policymakers. These insights can inform the creation of conducive environments that foster entrepreneurial innovation and promote economic sustainability in the face of adversity.]]>
<![CDATA[Developing Technopreneur Skills to Face Future Challenges ]]>
<![CDATA[Choi, Lee Kyung]]>;
<![CDATA[Iftitah, Naura]]>;
<![CDATA[Angela, Putri]]>
<![CDATA[ IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 2 (2024): April ]]>
Publisher : <![CDATA[Pandawan Sejahtera Indonesia ]]>
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DOI: 10.34306/itsdi.v5i2.661
<![CDATA[In the era of globalization and rapid technological advancement, developing technopreneur skills is crucial for facing future challenges. This study aims to explore and develop effective technopreneurial skills in anticipating market changes and technological innovations. The method used in this research is SmartPLS, which enables path modeling for the analysis of latent variables related to technopreneurial skills. The findings indicate a significant relationship between entrepreneurial education, work experience, and technological readiness with the effectiveness of technopreneurial skills. The implications of this research are that educational institutions and industry stakeholders need to provide more programs and training focused on technopreneurial skills, not only from a theoretical aspect but also in practice. The contribution of this research is providing a framework that can be used by educational institutions and industry players to design and evaluate more effective entrepreneurship programs in facing future economic and technological challenges.]]>
<![CDATA[Analyzing the Impact of Quantum Computing on Current Encryption Techniques ]]>
<![CDATA[Azhari, Rama]]>;
<![CDATA[Salsabila, Agita Nisa]]>
<![CDATA[ IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 2 (2024): April ]]>
Publisher : <![CDATA[Pandawan Sejahtera Indonesia ]]>
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DOI: 10.34306/itsdi.v5i2.662
<![CDATA[As the field of quantum computing progresses, the disruption to traditional encryption methods, which secure vast amounts of sensitive data, becomes an imminent threat, and conventional encryption techniques, primarily based on mathematical complexity, may no longer suffice in the era of quantum supremacy. This research systematically analyzes the vulnerabilities of current encryption standards in the face of advanced quantum computing capabilities, focusing specifically on widely-used cryptographic protocols such as RSA and AES, which are foundational to modern cybersecurity. Employing the SmartPLS method, the study models the interaction between quantum computing power and the robustness of existing encryption techniques, involving simulating quantum attacks on sample cryptographic algorithms to evaluate their quantum resistance. The findings reveal that quantum computing possesses the capacity to significantly compromise traditional encryption methods within the next few decades, with RSA encryption showing substantial vulnerabilities while AES requires considerably larger key sizes to maintain security. This study underscores the urgency for the development of quantum-resistant encryption techniques, critical to safeguarding future digital communication and data integrity, and advocates for a paradigm shift in cryptographic research and practice, emphasizing the need for 'quantum-proof' algorithms. It also contributes to the strategic planning for cybersecurity in the quantum age and provides a methodological framework using SmartPLS for further exploration into the impact of emerging technologies on existing security protocols.]]>
<![CDATA[Optimizing Agricultural Yields with Artificial Intelligence-Based Climate Adaptation Strategies ]]>
<![CDATA[Zidan, Fallen]]>;
<![CDATA[Febriyanti, Dita Evia]]>
<![CDATA[ IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 2 (2024): April ]]>
Publisher : <![CDATA[Pandawan Sejahtera Indonesia ]]>
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DOI: 10.34306/itsdi.v5i2.663
<![CDATA[In the face of climate change, agricultural productivity is severely threatened by unpredictable weather patterns and changing environmental conditions, underscoring the critical need for innovative solutions to bolster agricultural resilience and optimize yields. This study delves into the potential of artificial intelligence (AI), specifically through the use of machine learning and deep learning techniques, to develop climate adaptation strategies aimed at enhancing agricultural outcomes. By integrating AI with climatological data, the research predicts and mitigates the adverse impacts of climate on crop yields, utilizing a combination of machine learning and deep learning models to analyze historical climate data alongside crop performance. These models, trained on datasets including temperature, rainfall, soil moisture, and crop genetic information, are adept at forecasting future agricultural outcomes under varied climatic scenarios and suggest optimal adaptation strategies that significantly improve crop yields. Consequently, these AI-based models serve as robust tools for farmers and agricultural policymakers, enabling them to make informed decisions that are aligned with anticipated climatic conditions. The findings not only underscore the efficacy of AI in transforming data into actionable insights that enhance agricultural productivity but also contribute to the field of agricultural science by providing a technologically advanced approach to climate adaptation. Furthermore, this research paves the way for future studies on the integration of AI with real-time environmental sensing technologies, thereby offering a dynamic framework for agricultural management that supports sustainable farming practices and global food security amid climate challenges.]]>
<![CDATA[The Impact of Social Media Analytics on SME Strategic Decision Making ]]>
<![CDATA[Nugroho, Dimas]]>;
<![CDATA[Angela, Putri]]>
<![CDATA[ IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 2 (2024): April ]]>
Publisher : <![CDATA[Pandawan Sejahtera Indonesia ]]>
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DOI: 10.34306/itsdi.v5i2.664
<![CDATA[In the digital age, the emergence of social media has transformed the operational landscape of small and medium enterprises (SMEs). Recognized as a tool that generates comprehensive insights, social media analytics supports strategic decision-making. However, the concrete impact of social media analytics on strategic decisions in SMEs still requires further exploration. This study aims to assess the impact of social media analytics on strategic decision-making in SMEs, considering mediating variables such as organizational innovation and adaptability. Employing Structural Equation Modeling (SEM) with SmartPLS 4.1 software, the study analyzed data collected from 200 SMEs actively using social media for operations and marketing. The findings reveal that social media analytics significantly enhances organizational innovation and adaptability, which in turn positively affects strategic decision-making. This analysis underscores the importance of social media as a strategic resource in a dynamic business environment. The study provides valuable insights for SME owners on the critical role of social media analytics in enhancing strategic decisions. Theoretically, it extends the literature on social media analytics and strategic management within the SME context. Practically, the results serve as a foundation for SMEs to integrate social media analytics technology into their decision-making processes, thereby boosting adaptability and innovation in their operations.]]>
<![CDATA[Exploring the Use of Cluster Analysis in Market Segmentation for Targeted Advertising ]]>
<![CDATA[Nur, Muhammad Farras]]>;
<![CDATA[Siregar, Amora]]>
<![CDATA[ IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 2 (2024): April ]]>
Publisher : <![CDATA[Pandawan Sejahtera Indonesia ]]>
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DOI: 10.34306/itsdi.v5i2.665
<![CDATA[In the rapidly evolving field of digital marketing, precise targeting and segmentation have become essential for optimizing advertising efforts, yet traditional methods often struggle to adequately address the dynamic nature of consumer behaviors. This study delves into the efficacy of cluster analysis as a robust tool in market segmentation, particularly aimed at enhancing the precision of targeted advertising campaigns. By employing a case study approach, the research meticulously analyzes real-world advertising campaigns across various industries, utilizing cluster analysis to segment the market and employing qualitative data analysis to evaluate the outcomes in terms of engagement and conversion improvements. The results indicate that cluster analysis not only facilitates a deeper understanding of market segments but also leads to more tailored and effective advertising strategies. Companies implementing this method reported significant improvements in campaign performance, with higher engagement and conversion rates compared to traditional segmentation approaches. This study underscores the advantages of employing advanced statistical methods like cluster analysis in market segmentation, highlighting its potential to transform targeted advertising by enabling advertisers to adapt more swiftly and effectively to market dynamics. The implications for practice suggest that businesses should integrate cluster analysis into their marketing strategies to gain a competitive edge through enhanced customer insights and optimized advertising effectiveness, thereby contributing valuable empirical evidence to the existing literature.]]>
<![CDATA[Integrating Artificial Intelligence and Environmental Science for Sustainable Urban Planning ]]>
<![CDATA[Anwar, Muhammad Rehan]]>;
<![CDATA[Sakti, Lintang Dwi]]>
<![CDATA[ IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 2 (2024): April ]]>
Publisher : <![CDATA[Pandawan Sejahtera Indonesia ]]>
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DOI: 10.34306/itsdi.v5i2.666
<![CDATA[The rapid urbanization of modern cities presents significant challenges in sustainable development. To address these challenges, there is a growing integration of Artificial Intelligence (AI) and Environmental Science to enhance urban planning processes. This research aims to assess the impact and utility of AI techniques within the framework of Geographic Information Systems (GIS) for sustainable urban planning. Specifically, it investigates how AI-enhanced GIS tools can be employed to improve urban development strategies and enhance sustainability assessments. Employing Spatial Analysis with GIS, this study analyzes data on land use, population density, and environmental indicators across several metropolitan areas. The methodology incorporates machine learning algorithms to predict and simulate urban growth patterns, enabling the assessment of various urban planning scenarios. The findings reveal that AI-enhanced GIS tools significantly improve the precision of development forecasts and sustainability assessments. These tools facilitate more informed decision-making in urban planning by enabling precise predictions about urban expansion and its environmental impacts. The integration of AI with environmental science not only enhances the efficiency of urban planning processes but also contributes to the resilience and sustainability of urban environments. The study provides urban planners and policymakers with advanced tools to forecast and mitigate the environmental impacts of urbanization, thereby setting a benchmark for future studies in the realm of sustainable urban planning. This research demonstrates the practical application of AI in enhancing the capabilities of GIS for complex spatial analyses, contributing significantly to the field of urban planning.]]>
