Land Suitability Analysis for Tropical Fruit Commodities as a Conservation Effort in Highlands Area, Indonesia
Bibliographic record
Abstract
This study aims to spatially analyze the suitability and availability of land for annual tropical fruit horticultural commodities using the criterion-weighted method. The highlands of Banjarnegara and Wonosobo Regencies, Central Java Province, Indonesia, with a total area of 93,955.60 hectares was used as the study area. The multi-criteria decision-making analysis with an analytical hierarchy process (AHP) structure was used to determine the important criteria for complex land suitability. The criteria consisted of soil great groups, elevation, land slope, rainfall, temperature, humidity, type of land use, distance to market, and road access. Meanwhile, the weight of the importance of each criterion was based on the opinions of seven experts and the results were integrated as the basis for map overlays using ArcGIS ver 10.8. The calculation of pairwise comparisons showed that the soil great groups have the highest weight in determining land suitability, with the majority of land being hapludands. Furthermore, it also showed that 32.81% of the area is suitable and available for the development of fruit areas with the largest proportion of 17.48% in the moderately suitable (S2) category.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".