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All Journal Indonesia Journal of Engineering and Education Technology (IJEET) Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat
Muhammad Fikri Fahrialdie
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Education Environmental Science Library & Information Science Mechanical Engineering Social Sciences Other

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Measuring the Social and Economic Impact of Community Engagement Projects: A Framework for Sustainable Outcomes Muhammad Fikri Fahrialdie
Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2025): In Progress
Publisher : LPPM Akademi Teknik Adikarya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/inovasisosial.v3i1.191

Abstract

Community engagement projects play a pivotal role in fostering inclusive and sustainable development, yet their social and economic impacts are often difficult to quantify systematically. This study aims to develop a comprehensive framework for measuring the multidimensional impacts of community engagement initiatives, integrating both qualitative and quantitative indicators. Using a mixed-methods approach, data were collected from various community development programs across urban and rural areas through surveys, interviews, and focus group discussions. The proposed framework evaluates four key dimensions: social capital enhancement, economic empowerment, participatory governance, and long-term sustainability. Findings reveal that projects emphasizing co-creation, local ownership, and capacity building demonstrate higher social cohesion and more durable economic benefits. Moreover, integrating participatory evaluation tools within project cycles increases transparency, accountability, and community trust. The study contributes to the field of sustainable development by providing a replicable and adaptable impact assessment model applicable across diverse socio-economic contexts. This framework not only guides policymakers and practitioners in designing more effective community engagement programs but also ensures that interventions generate measurable and sustainable outcomes for all stakeholders involved.
Mathematical Quantification of market equilibrium and Efficiency Economic Models Muhammad Fikri Fahrialdie
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 3 No. 2 (2025): In Progress
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v3i2.205

Abstract

This study aims to develop a mathematical framework for quantifying market equilibrium and evaluating efficiency across contemporary economic models. Using a combination of differential equations, optimization theory, and welfare analysis, the research constructs a formalized approach to measure the conditions under which markets reach equilibrium and determine the extent to which these equilibria achieve allocative and productive efficiency. The study employs a comparative model analysis that integrates classical supply demand interactions, general equilibrium structures, and modern game-theoretic market representations.The findings indicate that market equilibrium can be precisely characterized through a set of mathematically derived equilibrium conditions, including stability metrics, Pareto efficiency criteria, and welfare maximization indicators. Quantitative simulations demonstrate that deviations from equilibrium caused by price distortions, market power, or externalities can be measured through efficiency loss functions, allowing the economic impacts of disequilibrium to be assessed with greater accuracy. Furthermore, the proposed mathematical quantification model provides new insights into how structural changes within markets affect overall efficiency and social welfare outcomes.In conclusion, this research contributes a rigorous mathematical toolset that enhances the analytical capability of economists in studying equilibrium and efficiency. The model strengthens theoretical predictions, improves empirical measurement, and offers a foundation for future work in optimizing policy interventions aimed at enhancing market performance. The results highlight the importance of integrating mathematical precision into economic modeling to better inform decision-making in both microeconomic and macroeconomic contexts
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