Prediction Model of Sacha Inchi Crop Development Based on Technology and Farmers’ Perception of Socio-Economic Factors
Abstract
:1. Introduction
2. Materials and Methods
2.1. Research Locations
2.2. Experimental Design
2.3. Plant Sampling and Analysis
2.4. Research Method
3. Results and Discussions
3.1. Farmers’ Perceptions of Socio-Economic Factors Affecting Sacha Inchi Farming Development Using PLS-SEM
3.2. Analysis of Socio-Economic Factors Affecting the Development of Sacha Inchi Farming
3.2.1. Measurement Model Specifications
- Social factor variables were measured by indicators S1 (education level), S2 (culture), S3 (farming experience), S4 (knowledge), and S5 (community support/participation). The construct measurement model used indicators S1 (education level), S2 (culture), S4 (knowledge), and S5 (community support/participation).
- The economic factor latent variable was measured by indicators E1 (market certainty), E2 (price), and E3 (capital access). The economic factor construct measurement model used indicators E1 and E2, namely, market certainty and price.
- Sacha inchi farming development variables were measured by indicators P1 (harvest quality), P2 (income), P3 (resource efficiency), P4 (production and productivity), P5 (market and marketing), P6 (land area cultivated), P7 (food safety), P8 (product diversification), P9 (group participation), P10 (development of sacha inchi technological innovation), P11 (development of sacha inchi special education and training), P12 (cooperation network), P13 (sustainability), and P14 (farmer welfare).
3.2.2. Structural Model Specifications
3.2.3. Evaluation of Measurement Model
3.2.4. Structural Model Evaluation
3.3. Analysis of Supporting Factors for Crop Yields on Sacha Inchi Development with Fertilizer Treatment Using ANFIS
3.4. ANFIS Model Prediction Accuracy
3.5. Implementation of the Sacha Inchi Plant Development Model
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Latent Variable | Indicator | Loading Factor | p-Value |
---|---|---|---|
Farming development | P4 | 0.532 | 0.034 |
P6 | 0.637 | 0.006 | |
P8 | 0.599 | 0.033 | |
P9 | 0.683 | 0.000 | |
P10 | 0.599 | 0.033 | |
P11 | 0.504 | 0.038 | |
Social factors | S1 | 0.692 | 0.004 |
S2 | 0.858 | 0.000 | |
S4 | 0.914 | 0.000 | |
S5 | 0.740 | 0.002 | |
Economic factors | E1 | 0.538 | 0.034 |
E2 | 0.972 | 0.000 |
Latent Variable | AVE | AVE Root | Composite Reliability |
---|---|---|---|
Farming development | 0.792 | 0.889 | 0.919 |
Social factors | 0.705 | 0.839 | 0.877 |
Economic factors | 0.747 | 0.864 | 0.850 |
Latent Variable | Farming Development | Social Factors | Economic Factors |
---|---|---|---|
Farming development | 1.000 | 0.524 | 0.878 |
Social factors | 0.524 | 1.000 | 0.524 |
Economic factors | 0.878 | 0.878 | 1.000 |
Causality Relationship | Path Coefficient | Standard Error | p-Value | Description |
---|---|---|---|---|
Social factors > farming development | 0.088 | 0.177 | 0.614 | Non-Significant |
Economic factors > farming development | 0.832 | 0.144 | 0.040 | Significant |
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Andayani, S.A.; Prasetyo, T.F.; Wijaya, A.A.; Sukmasari, M.D.; Umyati, S.; Nainggolan, M.F. Prediction Model of Sacha Inchi Crop Development Based on Technology and Farmers’ Perception of Socio-Economic Factors. Sustainability 2024, 16, 2680. https://doi.org/10.3390/su16072680
Andayani SA, Prasetyo TF, Wijaya AA, Sukmasari MD, Umyati S, Nainggolan MF. Prediction Model of Sacha Inchi Crop Development Based on Technology and Farmers’ Perception of Socio-Economic Factors. Sustainability. 2024; 16(7):2680. https://doi.org/10.3390/su16072680
Chicago/Turabian StyleAndayani, Sri Ayu, Tri Ferga Prasetyo, Acep Atma Wijaya, Miftah Dieni Sukmasari, Sri Umyati, and Mai Fernando Nainggolan. 2024. "Prediction Model of Sacha Inchi Crop Development Based on Technology and Farmers’ Perception of Socio-Economic Factors" Sustainability 16, no. 7: 2680. https://doi.org/10.3390/su16072680