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Sustainable Strategy Development for Agro-Industrial SMIs Based on Process Performance Analysis: Integration of Value Stream Mapping, Eisenhower Matrix, and Interpretive Structural Modeling Dzilalin Najmi; Andes Ismayana; Nastiti Siswi Indrasti
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.15040

Abstract

This study aims to develop strategic recommendations for sustainable agro-industrial Small and Medium Industries (SMIs) in North Jakarta based on process performance analysis by integrating Value Stream Mapping (VSM), Eisenhower Matrix, and Interpretive Structural Modeling (ISM). A mixed-methods approach was employed, including field observations, in-depth interviews, literature review, and expert judgment to capture the actual conditions of agro-industrial SMIs comprehensively. Value Stream Mapping (VSM) analysis identifies the presence of non-value-added activities that contribute to production inefficiencies, indicating that the development of agro-industrial SMIs in North Jakarta remains at a basic level and highlighting the need to enhance the participation of SMI actors in development programs. The Eisenhower Matrix further classifies development factors into four strategic quadrants and generates seven alternative development strategies based on urgency and importance. Furthermore, ISM analysis reveals that strengthening the capacity of SMI facilitators is the key driving strategy that supports business feasibility and production standardization, digital and institutional ecosystem strengthening, and human resource development. These strategies subsequently enable technology integration and integrated environmental management of production, ultimately leading to the development of superior products based on innovation and market collaboration as the long-term strategic objective for sustainable SMI development in North Jakarta.
Prioritizing Sustainability Criteria for Food-Processing SMIs Using Bayesian Best-Worst Method toward the Sustainable Development Goals Dzilalin Najmi; Andes Ismayana; Nastiti Siswi Indrasti; Maulana Paldia Samil; Aman Ahmed Kuniyil; Muamar Kadafin
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i2.592

Abstract

Small and medium industries (SMIs) in the food-processing sector play an important role in supporting local economic development but face various challenges in achieving sustainable development. This study aims to identify and prioritize key sustainability criteria for the development of food-processing SMIs using Bayesian Best Worst method within an extended triple bottom line framework. The framework integrates economic, social, environmental, and technology dimensions to capture the multidimensional aspects of sustainability. Expert judgments were collected from relevant stakeholders and analyzed using the Bayesian Best–Worst Method (BWM) to determine the relative importance of sustainability criteria. The results indicate that operational and institutional performance, hygiene and production sanitation, and human resource competence are the most influential criteria in supporting sustainable SMI development. At the sub-criteria level, compliance with food safety and halal standards, maintenance and hygiene of production equipment, and the use of digital promotion and payment systems emerge as the most critical factors. These findings provide a structured understanding of sustainability priorities and offer a useful reference for policymakers and practitioners in promoting sustainable development of food-processing SMIs