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Multidiscience: Journal of Multidisciplinary Science
Published by CV. Strata Persada Academia
ISSN : 3046692X     EISSN : 30466911     DOI : https://doi.org/10.59631/multidisciplinary
Core Subject : Economy, Health, Science, Social, Engineering,
Computer Science & IT Economics, Econometrics & Finance Engineering Medicine & Pharmacology Social Sciences
Multidiscience: Journal of Multidisciplinary Science is an academic and scientific journal that publishes original research and reviews articles in various multidisciplinary fields. It is published by CV. Strata Persada Academi biannually in January and June. This journal aims to promote the exchange of ideas and facilitate collaboration among researchers from various disciplines, including but not limited to natural sciences, social sciences, engineering, and humanities. The journal is committed to maintaining high standards of scientific rigor and scholarly excellence, and all articles undergo a rigorous peer-review process to ensure quality and originality. All submitted articles are reviewed by editors, the editorial board, and blind reviewers. Submissions that violate formatting or length guidelines will be declined without examination.
Arjuna Subject : Umum - Umum
Articles 57 Documents
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Analysis of Vocational Education Policy in the Context of Artificial Intelligence Disruption and Its Implications for the Merdeka Curriculum Muis, Rizal Rahmawan; Nadhiroh, Nadhiroh; Yasin, Roby Lafadza; Duryat, Masduki; Suherman, Aris
Multidiscience : Journal of Multidisciplinary Science Vol. 2 No. 2 (2025): June
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/multidiscience.v2i2.380

Abstract

This study aims to analyze vocational education policy in Indonesia in the context of Artificial Intelligence (AI) disruption and to examine its implications for the implementation of the Merdeka Curriculum. Employing a descriptive qualitative approach and content analysis of policy documents, scholarly publications, and research reports, this study explores the dynamics of vocational education policy in response to the digital transformation driven by AI. The findings reveal that Indonesia's vocational education policy is still in its early stages of integrating AI technologies into curricula and instructional practices. Although the Merdeka Curriculum offers flexibility, it has not yet systematically incorporated AI-related competencies, leaving graduates inadequately prepared for the increasingly digitized labor market. Compared to countries such as Germany and South Korea, Indonesia lags behind in establishing AI-based vocational training through strong industry-education collaboration. To address these challenges, three strategic actions are recommended: revising the curriculum to include AI literacy, strengthening industry partnerships through dual training programs and teacher certification, and investing in equitable digital infrastructure. This study offers both conceptual and practical contributions to the development of adaptive, responsive, and future-oriented vocational education policies in the era of technological disruption.
The Concept of Deep Learning and Its Implementation in Character-Based Learning Rasyad, Muhammad Ghaffar; Suherman, Aris; Duryat, Masduki; Ali, Moh
Multidiscience : Journal of Multidisciplinary Science Vol. 2 No. 2 (2025): June
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/multidiscience.v2i2.381

Abstract

This study aims to explore the concept and implementation of Deep Learning (DL) in the context of character-based education. Amid the growing urgency of character education in shaping a generation with integrity, advancements in information technology present new opportunities to design more adaptive and contextual learning approaches. DL, as a branch of artificial intelligence, possesses the capability to analyze large-scale digital data and automatically identify behavioral patterns and expressions of character values. This research employs a literature review using a descriptive qualitative approach, analyzing scientific literature from journals and academic publications published between 2015 and 2025. The findings indicate that DL can be utilized to detect learners’ behaviors, emotional expressions, and moral responses across digital media in a contextual manner, thereby supporting formative assessments and data-driven interventions in character education. However, challenges such as algorithm interpretability, data bias, and ethical concerns remain significant. Therefore, the study recommends the application of Explainable AI (XAI) frameworks and multidisciplinary collaboration to ensure that DL is implemented in ethically responsible and pedagogically meaningful ways. These findings offer both theoretical and practical contributions to the development of character learning models aligned with the demands of the digital age.
The Role of Human Resources and Technological Advancement on Economic Growth Ridwannudin, Muhammad; Rokhlinasari, Sri; Haerisma, Alvien Septian
Multidiscience : Journal of Multidisciplinary Science Vol. 2 No. 2 (2025): June
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/multidiscience.v2i2.382

Abstract

This study aims to comprehensively examine the role of human resources and technological advancement in driving economic growth. Employing a qualitative literature review approach, secondary data were gathered from peer-reviewed academic sources, including scholarly journals, international conference proceedings, and academic books published between 2015 and 2025. The findings reveal that human capital development significantly contributes to labor productivity, innovation, and macroeconomic stability. Similarly, technological advancement accelerates economic growth by enhancing production efficiency, reducing operational costs, and creating new market opportunities. The study underscores the critical synergy between high-quality human capital and effective technology adoption as a foundational mechanism for achieving inclusive and sustainable economic development. Policy implications suggest that developing countries should adopt integrated development strategies by investing in education, vocational training, and digital infrastructure, alongside strengthening national innovation systems. Consequently, enhancing both human and technological capacities is essential for building resilient, knowledge-based economies capable of adapting to global dynamics.
The Influence of Word of Mouth, Packaging, Price Perception, and Product Quality on the Purchasing Decision of Bolu Kelapa Gumregah Primasari, Naresthi; Astuti, Widhy Tri; Arif, Nina Fapari
Multidiscience : Journal of Multidisciplinary Science Vol. 2 No. 2 (2025): June
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/multidiscience.v2i2.384

Abstract

This study investigates the influence of word of mouth, packaging, price perception, and product quality on consumer purchasing decisions for Bolu Kelapa Gumregah, a locally produced cake by KEP Desa PRIMA Gumregah in Gunungkidul, Yogyakarta. As a flagship product rooted in local cultural practices such as ulih-ulih, understanding consumer decision-making is critical for sustaining its market growth. Employing an explanatory research design and survey methodology, data were collected from 50 purposively selected consumers and analyzed using multiple linear regression. The results reveal that while the four variables collectively have a significant effect (F = 43.470; p < 0.001) and explain 65.6% of the variance in purchasing decisions, only price perception demonstrates a positive and statistically significant individual effect (β = 0.709; p < 0.001). Word of mouth, packaging, and product quality show no significant individual impact. These findings underscore the dominant role of price perception in consumer behavior and highlight the need for strategic marketing efforts focused on perceived value. The study contributes to the literature on community-based micro-enterprises and offers practical recommendations for enhancing local product competitiveness through pricing, packaging, and quality alignment.
Evaluation of the Integration of Learning Management Systems with Virtual Reality Platform Farameita, Era; Kurniasari, Florentina; Tjahjana, David
Multidiscience : Journal of Multidisciplinary Science Vol. 2 No. 2 (2025): June
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/multidiscience.v2i2.404

Abstract

This study evaluates the integration of Virtual Reality (VR) into Learning Management Systems (LMS) and its impact on learner engagement, motivation, and retention within a professional training context. Employing a mixed-methods design, data were collected from 200 participants using pre- and post-tests, system-generated metrics, questionnaires based on Self-Determination Theory (SDT), and qualitative interviews. Quantitative analyses, including descriptive statistics, Pearson correlation, t-tests, ANOVA, and multiple regression, revealed that VR usage significantly enhanced learning outcomes, with VR exposure time and perceived learner autonomy emerging as key predictors of retention. Younger and male participants demonstrated higher retention scores, highlighting the moderating effect of age and gender. Qualitative findings supported the quantitative results, indicating increased immersion and conceptual understanding despite minor technical challenges. Confirmatory Factor Analysis (CFA) confirmed the validity and reliability of the measurement instruments. These findings provide empirical support for the pedagogical potential of VR-integrated LMS environments and offer practical recommendations for personalized instructional design in digital education.
Effect of Moringa Leaf Iced Tea Consumption on Increasing Hemoglobin Levels in Adolescent Girls Nisa, Ika Choirin; Nisa, Rif’atun
Multidiscience : Journal of Multidisciplinary Science Vol. 2 No. 2 (2025): June
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/multidiscience.v2i2.405

Abstract

Anemia remains a significant public health issue among adolescent girls in Indonesia, primarily due to iron deficiency exacerbated by poor dietary habits and menstruation. Nutritional interventions utilizing local food sources such as Moringa oleifera offer a promising solution. Moringa leaves are rich in iron and essential micronutrients that may support hemoglobin synthesis. This study aims to examine the effect of Moringa leaf iced tea consumption on hemoglobin levels among adolescent girls. A quantitative pre-experimental design with a one-group pretest-posttest approach was employed. Ninety female students from a health sciences college in Cirebon participated. Hemoglobin levels were measured before and after the consumption of Moringa leaf iced tea. Data were analyzed using paired sample t-tests with a significance level of p < 0.05. The mean hemoglobin level increased significantly from 10.656 g/dL to 11.338 g/dL post-intervention, with a mean difference of 0.6822 g/dL (p < 0.001). This result suggests a positive hematinic effect of Moringa iced tea, likely due to its high iron and vitamin C content. Moringa leaf iced tea is a practical and culturally acceptable dietary intervention that effectively improves hemoglobin levels in adolescent girls. It holds potential for integration into school and community-based nutrition programs aimed at preventing anemia.
Driving Business Performance through Lean and Cloud-Based Supply Chain Integration: Evidence from the Oil and Gas Sector Sultan, Muhammad Habifian; Hasan, Djohan Gunawan; Annas, Mohammad
Multidiscience : Journal of Multidisciplinary Science Vol. 2 No. 2 (2025): June
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/multidiscience.v2i2.407

Abstract

This study examines the synergistic impact of Lean Supply Chain Management (LSCM) and Cloud-Based Supply Chain (CSSC) integration on business performance within Indonesia’s oil and gas sector. Amidst global supply chain disruptions and Indonesia’s transition toward sustainable energy, optimizing supply chain efficiency has become a strategic imperative. While prior research highlights the benefits of LSCM in developed markets, its interaction with digital technologies in emerging economies remains underexplored. Adopting a positivist approach, this study employs a quantitative methodology, collecting data from 217 professionals in Indonesia’s oil and gas industry through structured questionnaires. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the research evaluates the direct and mediated effects of Just-In-Time (JIT) and Total Quality Management (TQM) practices on business performance, with CSSC as a mediator. Results confirm that both JIT and TQM significantly enhance business performance, with CSSC playing a pivotal mediating role by improving supply chain visibility, agility, and operational efficiency. The findings underscore the importance of integrating lean practices with cloud-based digital solutions to drive resilience and competitive advantage in volatile markets. This study contributes actionable insights for practitioners seeking to align operational excellence with digital transformation, offering a model for sustainable supply chain management in resource-intensive industries.

Page 6 of 6 | Total Record : 57

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