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IAIC Transactions on Sustainable Digital Innovation (ITSDI)
Published by Pandawan Sejahtera Indonesia
ISSN : 26866285     EISSN : 27150461     DOI : https://doi.org/10.34306/itsdi
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology
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).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol 7 No 1 (2025): October" : 6 Documents clear
Leveraging IPFS to Build Secure and Decentralized Websites in the Web 3.0 Era Maulana, Imam Ryan; Rahardja, Untung; Azizah, Nur; Rakhmansyah, Mohamad; Komara, Maulana Arif
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.700

Abstract

In recent years, Web 3.0 has gained significant attention due to its potential to create a more secure and decentralized internet. The background of this research lies in the growing demand for data privacy and security, which traditional Web 2.0 platforms fail to provide.The objective of this study is to explore how IPFS (InterPlanetary File System) can be leveraged to build decentralized websites that prioritize security and user privacy in the Web 3.0 ecosystem. The method involves a qualitative approach, including a case study where IPFS is utilized to develop a decentralized website, followed by a series of performance and security tests. The performance tests revealed that IPFS-based websites achieved a 99.2% uptime compared to 96.5% in traditional websites, and reduced server failure rates by approximately 35%. These quantitative results confirm that IPFS provides higher resilience against data breaches and server failures while reducing reliance on single points of failure. The conclusion drawn from this research indicates that IPFS is a promising technology for developing secure, decentralized websites in the Web 3.0 era, offering an enhanced user experience with improved privacy, data security, and scalability. The findings suggest that adopting IPFS for web development could pave the way for the next generation of decentralized applications, contributing to the ongoing transformation of the internet.
Evaluating Cost Performance and Unit Rate Optimization in Surface Maintenance Operation (SMO) Earthwork Service Contracts Alexander, Alexander; Pontan, Darmawan; Nabila, Efa Ayu; Sanbella, Lunatari
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.705

Abstract

The Surface Maintenance Operation (SMO) Construction Services Work Unit Rate Earthwork (WUR EW) project in the Rokan Block, Indonesia, utilizes a unit price contract model with hypothetical volumes. This contractual model transfers the risk of uncertain work quantities from the project owner to the contractor. This study aims to analyze the characteristics of this contract and formulate a secure strategy for preparing bidding prices and managing construction costs. The research employed a quantitative analysis of historical data from two work packages (Package 3 and Mitigation Package 3). The analysis was conducted through the calculation of Key Performance Indicators (KPIs) such as the Cost Performance Index (CPI) and Budget Variance (BV), as well as Cost and Quantity Variance Analysis per work item. The results indicate that both projects achieved excellent cost performance, exceeding the planned profit targets (Realized CPI > Planned CPI). The most effective strategy was to set a high profit percentage on the top 10 Earthwork & Civil items (the Pareto items), which experienced significant volume increases and were the main drivers of the total profit growth.
Integrating Artificial Intelligence in E-Learning for Organizational Well-Being through Orange Technology Mapping Simanjuntak, Arthur; Sutarman, Asep; Anjani, Sheila Aulia; Nuche, Asher
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.706

Abstract

This study conducts a bibliometric analysis of Artificial Intelligence (AI) in e-learning, emphasizing its role in organizational well-being and educational transformation. Using Scopus as the primary database and VOSviewer for visualization, 557 articles published between 2020 and 2025 were analyzed across country, organization, source, author, document, and keyword networks. The results reveal that the United States, United Kingdom, and Germany act as central contributors, while India, Saudi Arabia, Singapore, Hong Kong, and Egypt are rapidly growing in influence. Source analysis identifies leading journals that shape the discourse alongside new outlets that diversify the field. Author and document coupling highlight key works that connect immersive learning environments with pedagogy, while keyword analysis identifies three major clusters related to ethics and governance, motivation and technology enhanced learning, and AI tools such as ChatGPT and generative AI. Overall, the findings show that AI in e-learning has evolved from experimental initiatives into a multidimensional, evidence-based domain. The study concludes by emphasizing how Orange Technology and TRAIVIS frameworks can operationalize ethics by design, support adaptive tutoring, and align AI-driven learning ecosystems with sustainable, well-being-centered educational goals.
The Strategic Role of Orange Technology in Cultivating Innovation and Well-Being Kristiyanto, Daniel Yeri; Purnomo, Hindriyanto Dwi; Cesna, Galih Putra; Ani, Nyree
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.707

Abstract

This paper examines the integration of Orange Technology a human-centred paradigm advancing health, happiness, and care (H2O triad) within strategic management frameworks. While strategic management provides the processes of environmental scanning, formulation, implementation, and evaluation, Orange Technology introduces models that emphasize well-being as a strategic asset. Employing an exploratory conceptual design, this study synthesizes interdisciplinary literature across information technology, biomedical engineering, psychology, and cognitive sciences, and maps them against the established stages of strategic management. The analysis highlights the potential for Orange Technology to enrich strategic processes by embedding health and happiness indicators into value propositions, governance systems, and performance evaluation tools. A phenomenon-level gap persists, however, as empirical evidence on governance systems, interdisciplinary adoption, and performance measurement remains scarce. To bridge this divide, two propositions are advanced for embedding an Orange Index into Balanced Scorecard frameworks, and developing a Three-Dimensional Transformational Balanced Scorecard to evaluate human centred innovation. Finally, emerging applications such as TRAIVIS demonstrate how Orange Technology principles extend beyond healthcare into education, combining AI, blockchain, and human centred learning to foster innovation and societal well-being.
Assessing the Environmental and Economic Impact of Smart Grid Integration in Renewable Energy Management Henry, Henry; Lutfiyah, Konita; Agustian, Harry; Lachlan, Nicholas
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.708

Abstract

The global transition to renewable energy aims to reduce environmental impacts and combat climate change, yet challenges arise due to the intermittent nature of renewable sources, complicating their integration into traditional power grids and requiring advanced management solutions. Smart grid technology presents promising capabilities to optimize renewable energy management, promoting both environmental sustainability and economic efficiency. This study evaluates the environmental and economic impacts of smart grid integration, fo- cusing on carbon emission reductions, enhanced energy efficiency, and cost savings for energy providers and consumers. Using Structural Equation Modeling via SmartPLS, data were collected and analyzed from various stakeholders engaged in renewable energy and smart grid applications, allowing a detailed assessment of the relationships between smart grid integration, environmental outcomes, and economic benefits. Results indicate that smart grid integration significantly reduces carbon emissions and improves energy efficiency by over 30% while economically, it yields substantial cost savings, cutting operational expenses by up to 25% over time. The SmartPLS analysis confirms a positive relationship between smart grid deployment and both environmental and economic outcomes, highlighting that smart grids not only support emission reductions but also deliver considerable financial benefits in renewable energy management. These findings offer important insights for policymakers and industry stakeholders, emphasizing the role of smart grids in advancing sustainable and economically viable global energy systems.
Business Artificial Intelligence for Enhancing Sustainable Decision Intelligence Choiri, Muttaqin; Pramudito, Eko Sigit; Sutisna, Felix; Sean, Rio Squire
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.712

Abstract

Business Artificial Intelligence (BAI) has become a key driver of organizational transformation, enabling advanced analytics, intelligent automation, and data-driven strategic decision-making. However, despite rapid technological progress, empirical research explaining how AI capability, algorithmic transparency, and task–technology alignment collectively shape Sustainable Decision Intelligence (SDI) within real business environments remains limited. To address this gap, this study introduces a novel BAI–SDI framework integrating AI Capability, Algorithmic Transparency, Task-Technology Fit (TTF), Decision Quality, and Sustainable Decision Intelligence as core constructs influencing long-term strategic and sustainable decision outcomes. Using a quantitative approach with Structural Equation Modeling–Partial Least Squares (SEM–PLS), survey data were collected from 402 professionals working in AI- integrated business sectors across Indonesia. The empirical results indicate that AI Capability significantly enhances Task-Technology Fit, while Algorithmic Transparency strongly predicts Decision Quality, emphasizing the importance of interpretability and accountability in trust-driven decision processes. Furthermore, Task-Technology Fit mediates the impact of AI Capability on Decision Quality, demonstrating that effective system-task alignment is essential for maximizing organizational value. The findings provide theoretical advancements by positioning SDI as an empirical extension of decision management theory and offer practical guidance for implementing ethical, transparent, and future-ready AI strategies within business environments. Overall, this study contributes actionable insights for strengthening governance and accelerating sustainable digital transformation in increasingly competitive and AI-driven decision ecosystems.

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