Land Suitability Analysis for Cocoa (T.cacao L) Development in Pining in Subdistrict Gayo Lues District Aceh Province
Bibliographic record
Abstract
Penelitian ini bertujuan untuk memperoleh karakteristik lahan serta arahan penggunaan lahan untuk pengembangan kakao di Kecamatan Pining. Metode yang digunakan adalah metode survey. Karakteristik untuk setiap satuan peta lahan dari hasil overlay (tumpang susun) menjadi dasar analisis lanjutan untuk mencocokkan (matching) dengan syarat tumbuh tanaman kakao. Hasil overlay peta jenis tanah, peta kemiringan lereng, peta curah hujan dan peta ketinggian tempat diperoleh 5 SPL. SPL 1 dengan luas 426,5 Ha, SPL 2 318,61 Ha, SPL 3 293,41 Ha, SPL 4 270,58 Ha dan SPL 5 dengan luas 200,11 Ha. Kakao memiliki kelas kesesuaian lahan potensial S2 (cukup sesuai) dengan faktor pembatas suhu, curah hujan, kejenuhan basa, pH H2O, dan lereng. Arah penggunaan lahan untuk pengembangan kakao seluas 1.314,25 Ha.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".