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Proper Nutritional Care and Growth and development Stimulation for Premature Children Masita, Bertri; Pratiwi, Dessy; Yuningrat, Nova
Journal of Indonesian Specialized Nutrition Vol. 2 No. 3 (2024): Journal of Indonesian Specialized Nutrition
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jisn.v1i5.26

Abstract

Premature children, or those born before 37 weeks of gestation, are at high risk of experiencing health problems and developmental delays. Proper nutritional care is essential to support their physical growth and cognitive development. Adequate nutrition can help overcome malnutrition that is often experienced by premature children, which can affect long-term health. In addition, growth and development stimulation through social interaction and physical activity also plays an important role in increasing the developmental potential of premature children. This study aims to explore the importance of proper nutritional care and growth and development stimulation in premature children. This study uses a qualitative research method. The data collection technique in this study was through literature studies. The data that has been collected was then analyzed in three stages, namely data reduction, data presentation and drawing conclusions. The results of the study showed that the care of premature infants should begin with the provision of appropriate nutrition. This nutrition comes from breast milk, however, to meet the nutritional needs of premature infants, especially those who are very premature and have very low birth weight, breast milk alone is insufficient, so special formulas such as FSMP premature are needed. In addition, optimal nutritional care needs to be balanced with proper growth and development stimulation. Stimulation in premature babies can be done through various methods, such as physical contact, sound, sight, and movement. The role of parents is very important in supporting children's development, so they need to get accurate information about the appropriate care and types of stimulation.
Role of Midwives on supporting IDA prevention & screening: learning from international guideline/practice & evidence Mariani Rahayu, Endang; Sitorus, Nova Lidia; Yuningrat, Nova
Journal of Indonesian Specialized Nutrition Vol. 2 No. 4 (2024): Journal of Indonesian Specialized Nutrition
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jisn.v2i4.32

Abstract

Iron deficiency anemia (IDA) is a significant global health problem, with negative impacts on the health of pregnant women, fetuses, and newborns, including the risk of complications such as preterm birth and low birth weight. Midwives play an important role in the prevention and early detection of IDA through education, nutritional counseling, and routine screening, in accordance with international guidelines that need to be adjusted to the local context and capacity of the health system in each country. This study aims to explore the role of midwives in the prevention and early detection of iron deficiency anemia (IDA) in pregnant women by referring to international guidelines, best practices, and the latest scientific evidence. The results of the revoew aims to discuss that the role of midwives in the prevention and screening of Iron Deficiency Anemia (IDA) is very important as the main service provider during pregnancy and childbirth. By utilizing international guidelines, midwives can improve understanding of effective screening techniques and IDA prevention strategies, such as early identification, iron supplementation, and education for pregnant women. Evidence-based practices implemented by midwives can improve maternal and fetal health and reduce the prevalence of maternal mortality (MMR).
Metaverse Economy: Redefining Consumer Experience and Business Models Yuningrat, Nova
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
Pembangunan Berkelanjutan di Asia Tenggara: Integrasi Praktik Ekonomi Hijau dalam Kebijakan Nasional Yuningrat, Nova
GEMA EKONOMI Vol 14 No 1 (2025): GEMA EKONOMI
Publisher : Fakultas Ekonomi Universitas Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sustainable development is a global priority, particularly in Southeast Asia, which faces significant challenges related to environmental degradation and climate change. Countries in the region, which rely heavily on natural resource-based sectors, need to integrate green economy principles into national development policies to mitigate environmental impacts and promote sustainable growth. This study aims to analyze the practice of green economy integration in national development policies in Southeast Asian countries and disseminate how these policies support the achievement of sustainable development. This study uses a quantitative approach with a descriptive and explanatory design, and data collection through surveys involving policymakers, the private sector, and international organizations in Indonesia, Malaysia, Thailand, Vietnam, and the Philippines. The results show that although green economy policies have been implemented in several countries, the main challenges faced are self-reliance in high-carbon-based sectors, a lack of supporting infrastructure, and limited funding. Therefore, governments need to improve policy coordination and provide greater incentives to the private sector to invest in green technologies.
The Role of Artificial Intelligence in Systemic Risk Management: A Financial Market Perspective of Emerging and Developed Countries Yuningrat, Nova
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: 10.46799/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.
Reskilling and Upskilling in the Digital Economy: Adaptive HRM Strategy in the Era of Industrial Revolution 5.0 Munawaroh, Siti; Mustofa, Adhi; Raksajaya, Indra; Yuningrat, Nova; Tyas, Regita Anggia Ning
Journal of Village Development Innovation Vol. 2 No. 1 (2025): Journal of Village Development Innovation
Publisher : Politeknik Siber Cerdika Internasional

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.
Evaluating the Efficiency of Microeconomic Empowerment Programs through Econometric Matching Approaches Yuningrat, Nova
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.