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All Journal Journal of Governance Risk Management Compliance and Sustainability Jurnal Penelitian Pendidikan Indonesia Jurnal Indovisi
Antonius Alijoyo
Parahyangan Catholic University
Economics, Econometrics & Finance Environmental Science Social Sciences Other

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Risk capability building post Covid-19 through improving competency in risk management Antonius Alijoyo; Victor Riwu Kaho
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol 9, No 2 (2023): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020231784

Abstract

This study aims to understand how a pioneer Bus Rapid Transit (BRT) company in Indonesia strengthens its business resilience when facing uncertainty due to the COVID-19 pandemic.  A qualitative research approach with the case study method is used where the primary data source is respondents, who are determined based on the purposive sampling method. Data collection and analysis were conducted using triangulation techniques by distributing questionnaires, structured interviews, and focus group discussions, which have helped discover that the pioneer BRT company is not fully prepared for the COVID-19 pandemic.  The company then decided to strengthen risk management capabilities by increasing risk management competencies that support decision-making in responding to the impact of the COVID-19 pandemic.  Risk leaders believe that strengthening risk capabilities can boost the company's resilience in the face of the COVID-19 pandemic and help it succeed in the new-normal era later. However, it is recommended that companies implement a business continuity management system based on the ISO 22301:2019 Business Continuity Management System (BCMS) standard as a systematic and comprehensive approach. The implication of implementing this standard is strengthening the company's readiness to deal effectively with risks of resilience and business continuity in the future.
The analysis of pt. krakatau steel (persero) tbk’s business transformation strategy towards a sustainable company Antonius Alijoyo; Hidayatudin Shodikin
Jurnal Indovisi Vol. 7 No. 3 (2025): Jurnal Indovisi
Publisher : Indonesian Indovisi Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32698/19072208

Abstract

The objective of the study was analyzing the Business Transformation Strategy of PT. Krakatau Steel (Persero) Tbk Towards a Sustainable Company. The research followed a qualitative descriptive method. The results of the analysis show that the business transformation strategy carried out by PT. Krakatau Steel (Persero) Tbk towards a sustainable firm is done through debt restructuring and cost efficiency to increase labor productivity to lead the company to profitability. As a business entity that grows and develops in the community, this company also always strives to maintain harmonious relations with the surrounding community through corporate social responsibility (CSR) or partnerships and the Community Development Program (PKBL), which is held regularly every year. In addition, PT. Krakatau Steel (Persero) Tbk also consistently takes part in the Company Performance Assessment (PROPER) program conducted by the Republic of Indonesia's Ministry of Environment and Forestry.
The Use of Artificial Intelligence for Managing Emerging Risks in Green Finance: A Literature Review on Financial Institutions Claresta Gabriel Pasaribu; Antonius Alijoyo
Journal of Governance Risk Management Compliance and Sustainability Vol. 6 No. 2 (2026): October Volume
Publisher : Center for Risk Management & Sustainability and RSF Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/jgrcs.v6i2.4090

Abstract

This study aims to analyze the role of Artificial Intelligence (AI) in managing emerging risks within the green finance sector through a systematic literature review approach. The growing importance of green finance in supporting sustainable development has been accompanied by the emergence of new and complex risks, including greenwashing, regulatory uncertainty, renewable energy project volatility, and reputational risk faced by financial institutions. These risks are often difficult to predict and manage using traditional risk management frameworks due to their dynamic nature and limited historical data. To address this issue, this study adopts the PRISMA 2020 framework, complemented by the SPAR-4-SLR and TCCM models, to systematically review and synthesize recent academic literature published between 2020 and 2025. The findings indicate that AI plays a significant role in enhancing the effectiveness of risk management in green finance by enabling large-scale data analysis, identifying complex and non-linear risk patterns, and improving the accuracy and timeliness of risk prediction. AI applications, such as machine learning and predictive analytics, are particularly effective in detecting greenwashing practices, supporting regulatory compliance, and strengthening sustainable investment decision-making. However, the implementation of AI in managing emerging risks in green finance still faces several challenges. Key obstacles include limited data availability and quality, potential algorithmic bias, and the absence of clear regulatory frameworks governing the use of AI in sustainable finance. Despite these challenges, the study concludes that AI represents a strategic and promising solution for strengthening sustainable risk governance. This research contributes to the existing literature by providing a comprehensive overview of current trends, challenges, and opportunities related to AI-driven risk management in green finance, particularly in the context of developing economies.
Co-Authors Claresta Gabriel Pasaribu Hidayatudin Shodikin Victor Riwu Kaho