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All Journal Aptisi Transactions on Management 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 Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology

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Analysis of Lifestyle and Consumer Attitude Towards Intention to Purchase a Personal Car During Pandemic Diana Marina; Nurmala K Pandjaitan; Nur Hasanah; Galih Putra Cesna
APTISI Transactions on Management (ATM) Vol 7 No 1 (2023): ATM (APTISI Transactions on Management: January )
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i1.1806

Abstract

 The COVID-19 pandemic is a new virus that allegedly originated in Wuhan, China, in 2019. This COVID-19 has spread rapidly, disrupting all sectors of life in various countries. The Covid-19 pandemic also impacted Indonesia's economic decline in 2020 and triggered the acceleration of the world recession. The policy of Large-Scale Social Restrictions (PSBB) and regional quarantine significantly impacted the delay in the distribution of goods, which resulted in employee housing and even layoffs. The fear of contracting COVID-19 triggers the intensity of the use of private vehicles as well as the intention to own a car. Lifestyle changes in traveling, especially the choice of the private car, are also influenced by the primary destination and distance traveled during the pandemic. But the economic pressure of the impact of the pandemic has become a substantial perception control that holds back the realization of intention to make a personal vehicle purchase decision. Although there has been an increase in the frequency of private vehicle use during the pandemic, in reality, the increase has not impacted private car sales. This is caused by the purchasing power of consumers, who are still hampered because of the pandemic. The government itself is aware that the automotive industry is an industry that has a significant contribution to 20 percent of the national Gross Domestic Product (GDP) and absorbs 1.5 million workers. This prompted the government to issue a stimulus in the form of policy relaxation to boost the productivity of the auto industry.
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.
Co-Authors Andha Sari Dewi Brian Domini Diana Marina Dimas Aditiya Prabowo John van der Merwe Juan Carlos Rodr ́ıgue Nur Hasanah Nurmala Katrina Pandjaitan Syahrul Muarif Wahid