Analisis daya dukung lahan permukiman berbasis kesesuaian lahan Kecamatan Sinjai Utara Kabupaten Sinjai
Bibliographic record
Abstract
Kecamatan Sinjai Utara, sebagai ibukota Kabupaten Sinjai, mengalami perkembangan jumlah dan aktivitas penduduk yang kompleks. Seiring meningkatnya jumlah penduduk, kebutuhan tempat tinggal juga meningkat serta menyebabkan perubahan penggunaan lahan dari lahan produktif ke perumahan. Penelitian ini dilakukan untuk mengetahui potensi pemanfaatan lahan permukiman dan ambang batas jumlah penduduk, melalui analisis Kesesuaian Lahan Permukiman, Daya Dukung Lahan Permukiman, dan Proyeksi Penduduk. Hasil penelitian menunjukkan bahwa lahan sesuai untuk kawasan permukiman memiliki luas 5,68 km² (19,43% dari luas wilayah kecamatan). Dengan DDPm 4,23 pada tahun 2022, Kecamatan Sinjai Utara masih mampu menampung penduduk hingga 218.321 jiwa. Proyeksi penduduk 10 tahun kedepan menunjukkan jumlah penduduk sebanyak 59.788 jiwa dengan DDPm 3,65, menandakan Kecamatan Sinjai Utara masih mampu menampung penduduk pada 10 tahun kedepan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".