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Contact Name
Rika Ampuh Hadiguna
Contact Email
hadiguna@ft.unand.ac.id
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hadiguna@ft.unand.ac.id
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Kota padang,
Sumatera barat
INDONESIA
Jurnal Optimasi Sistem Industri
Published by Universitas Andalas
ISSN : 20884842     EISSN : 24428795     DOI : -
Jurnal Optimasi Sistem Industri (JOSI) is a peer-reviewed journal that is published periodically (April and October) by the Department of Industrial Engineering, Faculty of Engineering, Universitas Andalas, Padang.
Arjuna Subject : -
Articles 402 Documents
Integrating Statistical Modelling and Financial Analysis to Optimize Bioethanol Production Adekunle Yussuf Ademola; Hussein Omeiza Aliu; Benita Nimi Brown; Aminat Abiola Abdussalam
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v25.n1.p152-173.2026

Abstract

The growing demand for sustainable alternatives to fossil fuels has positioned bioethanol as a promising renewable energy source. However, few studies integrate factorial and regression-based process optimization with scalable financial analysis to valorize underutilized Chrysophyllum albidum (African star apple) for bioethanol production, limiting comprehensive frameworks that link process efficiency to economic feasibility. This study re-analysed an existing experimental dataset on bioethanol production from C. albidum to evaluate strategies for improving decision-making through integrated statistical modelling and scalable financial analysis. Four key process factors quantified for their effects on the ethanol yield were pH, yeast dosage (YD), fermentation time (FT), and incubation temperature (IT). A full factorial design coupled with regression modelling revealed that pH was the dominant factor, followed by YD and FT, while IT had a minimal effect. IT was excluded to refine the model, which subsequently demonstrated high predictive power within the specified design space (R² = 0.972, Adj. R² = 0.948). Informed by the statistical trade-off between FT and yield, a financial impact assessment compared two runs of optimized condition (pH 5.0, YD 4.5% wt/v, IT 35°C, FT 72 h) with three runs of an alternative scenario (pH 5.0, YD 4.5% wt/v, IT 35°C, FT 24 h) revealed by the statistical analysis. Crucially, the financial analysis demonstrated that the technically optimized condition was not the most economical; the alternative scenario delivered a lower unit cost. The findings underscore the importance of integrating process optimization with cost analysis to identify conditions that balance technical yield with financial sustainability for scalable bioethanol production, demonstrated here through a scenario-based financial comparison framework applied to underutilized African star apple.
Key Determinants of SMEs Sustainable Performance in West Sumatra: A PLS-SEM Analysis Hary Fandeli; Micko Tomas; Fitrah Qalbina; Nasywa Firdaus Har
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v25.n1.p174-190.2026

Abstract

Rising environmental pressures from population growth and industrial expansion in Indonesia necessitate sustainable business practices. Yet, adoption among Small and Medium-sized Enterprises (SMEs) remains obstructed by low energy efficiency, inadequate waste management, limited technological and financial access, and managerial shortcomings. Using‍‌‍‍‌‍‌‍‍‌ two theories, resource based view (RBV) and institutional theory (IT), this study has mapped the relationships between internal and external factors and the triple-bottom-line performance of SMEs. This study investigates and tests these relationships amongst the factors that influence environmental, social, and economic sustainability performance by Partial Least Squares Structural Equation Modeling (PLS-SEM). This study designs the approach as a cross-sectional survey, gathering primary data from 110 SMEs to assess the proposed relationships among internal, external, and sustainability performance. Internal factors consist of green entrepreneurial orientation (GEO), green innovation (GI), and leadership commitment (LC), while market orientation (MO) and stakeholder pressure (SP) represent the external factors. Findings indicate that market orientation (MO) has a positive and significant effect across the entire triple-bottom-line (financial, social, environmental), whereas stakeholders pressure (SP) exerts a significant positive effect only on the financial and social dimensions. On the other hand, the internal factor comprising green entrepreneurial orientation (GEO), green innovation (GI), and leadership commitment (LC) does not significantly impact sustainability performance. These results indicate that among the external drivers examined, market orientation is the most comprehensive predictor of sustainability performance, whereas stakeholder pressure has a significant effect only on the financial and social dimensions. Practically, Indonesian SMEs are advised to constantly interpret and react to market signals and stakeholder expectations, whereas, policymakers are recommended to pair the tool of stakeholder pressure with capability-enhancement programs in terms of the operational system.

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