SEM-PLS analysis of indigenous knowledge integration in

Indigenous knowledge systems represent valuable epistemic resources for strengthening environmental scientific perspectives in contemporary sustainability discourse. The Karapan Sapi tradition of Madura embodies ecological understanding, animal biomechanics, energy transfer, and environmental interaction that can be structurally examined within a scientific framework. This study models the integration of Karapan Sapi based indigenous knowledge and analyzes its structural association with science and environmental literacy using Partial Least Squares Structural Equation Modeling. A descriptive survey design was employed, involving ninety individuals born and raised in Madura to capture culturally embedded knowledge structures. The PLS SEM analysis evaluates both measurement validity and structural relationships among cultural integration, scientific representation quality, and literacy constructs. The findings indicate that the structured incorporation of Karapan Sapi ecological and physical principles is positively associated with enhanced scientific coherence, contextual relevance, and environmental literacy dimensions. The model demonstrates that indigenous knowledge integration contributes indirectly to strengthening environmental science perspectives by connecting empirical cultural practices with formal scientific constructs. These results provide methodological insight into the application of PLS SEM for modeling culturally grounded environmental science frameworks and offer implications for advancing SDG oriented scientific integration in higher education contexts.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-03-04
DOI
https://doi.org/10.1051/e3sconf/202669601019/pdf
Primary Topic
Indigenous Knowledge Systems and Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

SEM-PLS analysis of indigenous knowledge integration in

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Springer Link (Chiba Institute of Technology)
Indigenous Knowledge Systems and Agriculture
article

SEM-PLS analysis of indigenous knowledge integration in

Utama Alan Deta, Alvin Rezkya Nugraha, Ajeng Wahyu Setiani, Wirawan Fadly, Khaled Issa Alemgadmi, Mozza Pinkan Edelweiss, Rinda Rahmanisa Sasmi, Aini Arisanti
article en

Abstract

Indigenous knowledge systems represent valuable epistemic resources for strengthening environmental scientific perspectives in contemporary sustainability discourse. The Karapan Sapi tradition of Madura embodies ecological understanding, animal biomechanics, energy transfer, and environmental interaction that can be structurally examined within a scientific framework. This study models the integration of Karapan Sapi based indigenous knowledge and analyzes its structural association with science and environmental literacy using Partial Least Squares Structural Equation Modeling. A descriptive survey design was employed, involving ninety individuals born and raised in Madura to capture culturally embedded knowledge structures. The PLS SEM analysis evaluates both measurement validity and structural relationships among cultural integration, scientific representation quality, and literacy constructs. The findings indicate that the structured incorporation of Karapan Sapi ecological and physical principles is positively associated with enhanced scientific coherence, contextual relevance, and environmental literacy dimensions. The model demonstrates that indigenous knowledge integration contributes indirectly to strengthening environmental science perspectives by connecting empirical cultural practices with formal scientific constructs. These results provide methodological insight into the application of PLS SEM for modeling culturally grounded environmental science frameworks and offer implications for advancing SDG oriented scientific integration in higher education contexts.

Springer Link (Chiba Institute of Technology)
Ministrstvo za visoko šolstvo, znanost in tehnologijo, Lembaga Pengelola Dana Pendidikan
Quality Education
Openalex Percentile: Top 35%
Indigenous Knowledge Systems and Agriculture
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