Bibliographic record
Abstract
Abstrak Pertambahan jumlah penduduk di suatu wilayah membuat kebutuhan untuk lahan permukiman semakin meningkat, sementara lahan memiliki keterbatasan dalam pemanfaatannya. Maka diperlukan kesesuaian antara penggunaan lahan dengan karakteristik lahan. Tujuan penelitian ini menganalisis kesesuaian lahan permukiman dengan rencana pola ruang wilayah di Kecamatan Tanjung Gadang Kabupaten Sijunjung. Jenis penelitian ini adalah deskriptif kuantitatif. Dalam menganalisis kesesuaian lahan dilakukan analisis kuantitatif berupa sistem matching, scoring dan overlay peta dengan sistem informasi geografi. Hasil penelitian menunjukan (1) Kondisi permukiman aktual di Kecamatan Tanjung Gadang memiliki luas 170 Ha dan pola penyebarannya mengikuti pola jalan. (2) Kesesuaian lahan permukiman di Kecamatan Tanjung Gadang dikategorikan menjadi empat kelas yaitu: Sangat Sesuai (S1) dengan luas 8.902 Ha, Sesuai (S2) dengan luas 5.394 Ha, Sesuai Marginal (S3) dengan luas 12.897 Ha, Tidak Sesuai (N) dengan luas 21.411 Ha. (3) Sedangkan konsistensi lahan permukiman terhadap rencana pola ruang wilayah sebesar 0,88%. Hal ini menunjukan bahwa implementasi rencana tata ruang wilayah untuk permukiman di Kecamatan Tanjung Gadang sebesar 88%. Kata Kunci: Kesesuaian Lahan, Permukiman, Konsistensi
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.274 | 0.210 |
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".