Optimizing the Smallholder Arabica Coffee Supply Chain in Bondowoso, East Java, Indonesia: A Strategic Analysis Using A’WOT
Bibliographic record
Abstract
This study aims to develop a strategic that can improve the effectiveness of the Arabica coffee supply chain for local farmers in Bondowoso Regency, one of the largest coffeeproducing regions in Indonesia.The Focus Group Discussion (FGD) conducted in this research utilized 10 expert assessments through the A'WOT analysis tool, which combines SWOT and the Analytic Hierarchy Process (AHP).This activity aims to identify and prioritize the most effective development strategies.The results showed that the strategy of strengthening farmers' capacity and empowerment emerged as a priority strategy with the highest weight of 0.220.This strategy is considered the most impactful in improving coffee productivity and quality, as well as supporting coffee supply chain sustainability in Bondowoso.This research is more complex than previous studies with the approach of analyzing the development of an efficient smallholder arabica coffee supply chain through the A'WOT method.The findings have important implications for stakeholders in formulating policies and actions to improve the efficiency of smallholder Arabica coffee supply chains.This study highlights efficiency for supply chain actors to protect the continuity of Arabica coffee product fulfillment needs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".