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p-Index From 2021 - 2026
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All Journal Journal of Economic, Bussines and Accounting (COSTING) Journal of Management and Innovation Entrepreneurship (JMIE)
Munawaroh, Rianzah
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences Other

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SYSTEMATIC LITERATURE REVIEW: THE EFFECTIVENESS OF PROJECT BASED LEARNING AND EXPERIENTIAL LEARNING MODELS IN FOSTERING HIGH SCHOOL STUDENTS' ENTREPRENEURIAL INTENTION Munawaroh, Rianzah; Noviani, Eni; Rahayu, Wening Patmi; Wati, Andy Prasetyo
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 6 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/f21j4b74

Abstract

This Systematic Literature Review (SLR) aims to identify, evaluate, and synthesize the most effective and relevant learning models for Entrepreneurship subjects at the Senior High School (SMA) level. Specifically, this review focuses on the effectiveness of project-based and experiential learning models in enhancing students' entrepreneurial intention and practical skills. This systematic review was conducted based on the PRISMA framework. The literature search was performed on academic databases such as Scopus, Google Scholar, and ERIC, with publications restricted to the years 2018 to 2025. The inclusion criteria required articles to be empirical research focusing on entrepreneurship learning models within the SMA/MA context. A total of 15 articles met the criteria, and their data were extracted for thematic-qualitative analysis. The findings indicate that the Project-Based Learning (PjBL) and Experiential Learning (EL) models are the dominant and significantly effective approaches. PjBL is effective in improving business planning and product skills, while Experiential Learning excels at fostering the entrepreneurial mindset, attitude, and self-reliance. A key research gap identified is the lack of active collaborative integration with real business practitioners. Entrepreneurship learning at the high school level must be designed using applicable and contextual models. The integration of PjBL and Experiential Learning should be optimized to bridge the gap between theory and practice effectively.
BIBLIOMETRIC ANALYSIS AND SYSTEMATIC LITERATURE REVIEW:  INTEGRATING PRODUCTION PLANNING AND FORECASTING IN MANUFACTURING AND REMANUFACTURING INDUSTRIES Munawaroh, Rianzah; Noviani, Eni; Rozi, Alfan Fakhrul; Handayani, Puji; Restuningdiah, Nurika
Journal of Management and Innovation Entrepreneurship (JMIE) Vol. 3 No. 3 (2026): April
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jmie.v3i3.3671

Abstract

In facing intense market competition and environmental sustainability demands, companies require accurate production planning and forecasting to avoid losses resulting from errors in demand predictions. This research aims to explore the relationship between production planning and forecasting with various analytical tools, as well as to map the methods and practices used by the manufacturing and remanufacturing industries. The method used is a combination of bibliometric analysis and systematic literature review (SLR). The bibliometric analysis, conducted using VOSviewer software, serves to quantitatively map publication trends, co-authorship networks, keyword co-occurrence, and thematic clusters within the existing literature, thereby revealing the intellectual structure of the field. The SLR complements this by providing a qualitative, step-by-step synthesis of the selected studies, ensuring a rigorous and reproducible evaluation of the evidence. Data were sourced from the Scopus and ScienceDirect databases covering the period 2021–2026. From an initial set of 214 articles, a screening process based on relevance, methodology, and alignment with the research questions was applied, The result in the selection of the 10 most relevant articles for in-depth analysis. The study found that no single forecasting method is best for all situations, its effectiveness depends on contexts such as demand volatility, product lifecycle stage, and sustainability constraints. Dynamic forecasting integrated with strategic planning is more resilient to external disruptions. The current research trend is shifting to hybrid models that combine machine learning with traditional statistical methods. The key challenge going forward is bridging the gap between state-of-the-art methods and industry realities, especially for SMEs that lack technical and financial resources. The solution needed is an adaptive framework that responds to disruptions in real time and balances predictive accuracy with practical application
Co-Authors Andy Prasetyo Wati Eni Noviani, Eni Nurika Restuningdiah Puji Handayani Rozi, Alfan Fakhrul Wening Patmi Rahayu