Analisis Kesesuaian Lahan Untuk Pengembangan Kawasan Industri Di Provinsi Jawa Barat
Bibliographic record
Abstract
Pengembangan kawasan industri di Jawa Barat perlu pembangunan yang memperhatikan kesesuaian lahan agar tidak memberikan masalah bagi lingkungan dan keberlanjutan ekologi. Oleh karena itu, perlu dilakukan analisis kesesuaian lahan untuk pengembangan kawasan industri dengan melihat Satuan Kemampuan Lahan (SKL). Hasil evaluasi SKL menunjukkan bahwa Provinsi Jawa Barat bagian utara memiliki tingkat kesesuaian lahan yang paling baik untuk pengembangan kawasan industri untuk jenis SKL bencana alam, erosi, pembuangan limbah, morfologi, kestabilan pondasi, kestabilan lereng, dan kemudahan pengembangan. Sementara itu, hasil analisis kesesuaian kawasan industri menunjukkan bahwa 33,31% dari total luas wilayah Provinsi Jawa Barat sesuai untuk pengembangan kawasan industri dengan sebaran spasial di bagian utara Provinsi Jawa Barat, 61,99% kurang sesuai, dan 1,70% masuk dalam kategori tidak sesuai. Perbandingan hasil analisis kesesuaian lahan dengan RTRW Jawa Barat juga menunjukkan rencana industri di utara pulau masuk dalam kategori sesuai untuk pengembangan industri, sedangkan rencana industri di tengah dan selatan pulau masuk dalam kategori kurang sesuai.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| 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) | 0.007 | 0.001 |
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".