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All Journal Jurnal Ekonomi, Teknologi dan Bisnis Journal of Management, Economic, and Financial Journal of Village Development Innovation Journal of Applied Econometric
Nova Yuningrat
Sekolah Tinggi Agama Islam Kuningan
Humanities Astronomy Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Reskilling and Upskilling in the Digital Economy: Adaptive HRM Strategy in the Era of Industrial Revolution 5.0 Siti Munawaroh; Adhi Mustofa; Indra Raksajaya; Nova Yuningrat; Regita Anggia Ning Tyas
Journal of Village Development Innovation Vol. 2 No. 1 (2025): Journal of Village Development Innovation
Publisher : Journal of Village Development Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jvdi.v2i1.12

Abstract

In the era of Industrial Revolution 5.0, rapid technological changes require workers to have relevant and adaptive skills. Reskilling and upskilling are becoming important strategies in human resource (HR) development to ensure organizational competitiveness. However, the biggest challenge is how to design and implement effective training programs to deal with these changes. This study aims to explore and analyze how adaptive strategies in human resource management (HRM) can support the implementation of effective reskilling and upskilling programs in the digital era and Industrial Revolution 5.0. This study used a descriptive qualitative approach, with data collection methods through in-depth interviews and questionnaires distributed to HRM professionals and employees in companies that have implemented skills training programs. This study found that companies that successfully implemented reskilling and upskilling programs experienced increased productivity and competitiveness. The success of these programs relies heavily on managerial support, an organizational culture that supports learning, and adaptive leadership that is actively involved in the planning and evaluation of training programs. Reskilling and upskilling programs designed with HRM adaptive strategies can improve workforce competencies and organizational competitiveness. Organizations need to ensure full support from management and proactive leadership in supporting employee skills development to remain relevant in the face of technological challenges.
The Role of Artificial Intelligence in Systemic Risk Management: A Financial Market Perspective of Emerging and Developed Countries Nova Yuningrat
Journal of Management Economic and Financial Vol. 3 No. 2 (2025): Journal of Management, Economic and Financial
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jmef.v3i2.168

Abstract

The development of Artificial Intelligence (AI) technology has brought significant changes in the global financial sector, especially in the context of systemic risk detection and mitigation. The complexity of financial market integration and the experience of previous global crises demonstrate the urgency of leveraging AI to strengthen the resilience of the financial system. This study aims to analyze the role of AI in systemic risk management by comparing its implementation in developed and developing countries. The research method uses a systematic literature review (SLR) approach enriched with bibliometric analysis to identify global research patterns, as well as comparative analysis to compare practices between the two groups of countries. Secondary data is obtained from academic articles, reports of international institutions, and financial risk indicators such as the Volatility Index (VIX), Capital Adequacy Ratio (CAR), and Non-Performing Loan Ratio (NPL). The results show that AI consistently improves the accuracy of systemic risk detection by up to 40% compared to traditional models. Developed countries are emphasizing the use of AI in the framework of macroprudential supervision, supported by adaptive regulations and mature data infrastructure. In contrast, developing countries are leveraging AI primarily for micro-risk management, such as credit risk and liquidity, but still face regulatory limitations, data infrastructure, and human resources. The main findings of this study confirm the gap in AI implementation between developed and developing countries, while demonstrating the urgency of international collaboration for regulatory harmonization and cross-border data exchange. This research contributes to the literature by presenting a cross-border comparative perspective, as well as providing policy recommendations that emphasize AI transparency, strengthening data infrastructure, and global cooperation to strengthen financial stability in the digital age.
Metaverse Economy: Redefining Consumer Experience and Business Models Nova Yuningrat
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 4 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/544p0m43

Abstract

The development of immersive technologies such as virtual reality (VR) and augmented reality (AR) has given birth to the metaverse phenomenon that redefines consumer interaction with brands and companies. The metaverse not only offers new experiences based on presence, avatars, and co-creation, but also drives the transformation of digital business models. However, empirical evidence on how consumer experience affects loyalty and monetization mechanisms in the context of the metaverse is still limited. This research aims to identify the factors that shape the consumer experience in the metaverse, analyze the relationship between technology adoption, immersive experience, and business model performance, and formulate strategic design guidelines for companies. The research method uses a quantitative approach with a survey of 200 metaverse users in Indonesia. The analysis was conducted using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with the support of qualitative interview data to strengthen interpretation. The results showed that presence, embodiment, and co-creation had a significant effect on engagement with a contribution of 64%. Technology acceptance factors (performance expectancy, social influence, and facilitating conditions) explain 58% of loyalty variance. In addition, the configuration of business models based on experience-as-a-service, community subscriptions, and tokenization was able to explain the 61% variance of willingness to pay. The implications of this study confirm that the metaverse economy is not just a technological phenomenon, but a new economic system that requires companies to design consumer experience strategies, technology acceptance, and business models in an integrated manner
Evaluating the Efficiency of Microeconomic Empowerment Programs through Econometric Matching Approaches Nova Yuningrat
Journal of Applied Econometric Vol. 1 No. 2 (2025): Journal of Applied Econometric
Publisher : Sekolah Tinggi Agama Islam Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59784/journaljoae.v1i2.24

Abstract

This study aims to evaluate the effectiveness of microeconomic empowerment programs using an econometric matching approach, with a focus on increasing participants' income and welfare. Microeconomic empowerment programs in Indonesia have become the primary strategy for overcoming poverty and enhancing the quality of life for the community, particularly in the microbusiness sector. This study employed a qualitative research design, incorporating interviews, questionnaires, and observations at two research locations in Bogor Regency and Bantul Regency. The study's results indicate that this program has a positive impact on participants with more established businesses, resulting in an average income increase of approximately 30%. However, participants who are just starting a business experience difficulties in making optimal use of training and capital assistance. The evaluation of this program also revealed that the training materials need to be adjusted to the type of business run by the participants, as well as the need for post-program support to ensure business sustainability. The use of econometric matching is effective in reducing selectivity bias and providing more accurate estimates of program impact. This research offers recommendations for program adjustments that are more closely aligned with the needs of participants, as well as the importance of post program mentoring in strengthening the longterm impact.
The Implementation of Digital Leadership and Its Impact on Employee Performance: A Qualitative Approach in Private Companies Riska Rahayu; Irma Nuraeni Salsabila; Nova Yuningrat; Dina Nurul Fathiya; Ayu Lestari
Journal of Management Economic and Financial Vol. 3 No. 3 (2025): Special Issue
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jmef.v3i3.187

Abstract

Digital transformation has driven significant changes in leadership practices within private companies, requiring leaders to adopt adaptive and innovative digital leadership approaches. This study aims to analyze the implementation of digital leadership and to understand its influence on employee performance in private companies. The study employs a descriptive qualitative research method, with data collected through in-depth interviews, observations, and document analysis involving leaders and employees as informants. Data analysis was conducted through data reduction, data display, and thematic conclusion drawing. The findings indicate that digital leadership implementation is manifested through the utilization of information technology in organizational communication, decision-making processes, performance monitoring, and the development of a flexible and collaborative work culture. Digital leadership has a positive influence on employee performance, particularly in improving work efficiency, task quality, motivation, and work commitment. From a qualitative perspective, employees perceive digital leadership as a more open, responsive, and participative leadership style, supported by transparent and accessible digital systems. However, the study also identifies challenges such as digital competency gaps and resistance to change. Overall, this research highlights that digital leadership plays a strategic role in enhancing employee performance and supporting organizational sustainability in the digital era.
Co-Authors Adhi Mustofa Ayu Lestari Dina Nurul Fathiya Indra Raksajaya Irma Nuraeni Salsabila Regita Anggia Ning Tyas Riska Rahayu Siti Munawaroh