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All Journal IAIC Transactions on Sustainable Digital Innovation (ITSDI) International Transactions on Artificial Intelligence (ITALIC)
Galih Putra Cesna
University of Raharja
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology

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Assessing the Effects of Artificial Intelligence on Startup Performance: An Analysis of Transformational Initiatives Brian Domini; Andha Sari Dewi; Galih Putra Cesna
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 1 (2023): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v5i1.606

Abstract

The research paper discusses the impact of Artificial Intelligence (AI) on organizational and process-level performance. The study follows a four-step process: analyzing AI technologies, exploring case studies, collecting data, and reviewing AI literature. The findings indicate that AI has various technologies, such as machine translation, chatbots, and self-learning algorithms, that can enhance automation, information, and transformation effects. Organizations can use AI to improve processes, optimize operations, and develop strategic and competitive advantages. The study provides insights into how organizations can enhance the business value of their transformation projects by leveraging AI's attributes. The research framework proposes a more comprehensive approach to account for the intangible benefits of AI in organizations. The study highlights that AI combines several configurations of IT in various industries, and organizations should reconfigure their processes to achieve performance through AI capabilities. The research also provides tangible evidence about the business value of AI-based projects and their impact on firm performance, considering it not as a single technology but as a set/combination of several different configurations of IT in various industries. The study has scientific and managerial interests and proposes a model for analyzing the impact of AI on firm performance, providing managers with insights to improve their organizations' performance, profitability, and competitive advantage.
Improving Natural Resource Management through AI: Quantitative Analysis using SmartPLS Juan Carlos Rodr ́ıgue; John van der Merwe; Syahrul Muarif Wahid; Galih Putra Cesna; Dimas Aditiya Prabowo
International Transactions on Artificial Intelligence Vol. 2 No. 2 (2024): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v2i2.548

Abstract

This study evaluates the role of Artificial Intelligence (AI) in enhancing the efficiency of natural resource management through a quantitative analysis using SmartPLS. Data was collected from 200 professionals with significant experience in AI and natural resource management. Descriptive statistics indicated high levels of AI usage (X1) and technological competence (X2) among respondents, with average scores of 4.2 and 4.0, respectively. Convergent and discriminant validity were confirmed, with all constructs having factor loading values above 0.7 and AVE exceeding 0.5. Structural model analysis revealed that AI usage and technological competence positively and significantly impact natural resource management efficiency (Y1), with path coefficients of 0.45 and 0.38, respectively. These findings underscore AI's critical role and the necessity of technological training to maximize its benefits. This research contributes to the literature by highlighting the importance of integrating AI in sustainable resource management practices, providing a robust framework for future studies.
The Strategic Role of Orange Technology in Cultivating Innovation and Well-Being Daniel Yeri Kristiyanto; Hindriyanto Dwi Purnomo; Galih Putra Cesna; Nyree Ani
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.
Co-Authors Andha Sari Dewi Brian Domini Daniel Yeri Kristiyanto Dimas Aditiya Prabowo Hindriyanto Dwi Purnomo John van der Merwe Juan Carlos Rodr ́ıgue Nyree Ani Syahrul Muarif Wahid