ANALISIS LAHAN KRITIS KECAMATAN BOGOR TIMUR, KOTA BOGOR, JAWA BARAT
Bibliographic record
Abstract
Untuk menuju kota berkelanjutan, maka perlu upaya rehabilitasi lahan kritis menjadi lebih hijau dan bermanfaat bagi warga sekitar. Kota Bogor sendiri ditetapkan sebagai kawasan hulu, dan menjadi penyangga kawasan ibukota dan kota-kota di bawahnya, sebagai daerah resapan air, dan daerah konservasi menurut Peraturan Presiden tahun 2008 tentang Penataan Ruang Kawasan Jabodetabekpunjur. Sebelum adanya pelaksanaan penanggulangan lahan kritis, maka perlu ada upaya identifikasi lahan kritis yang berada di Kota Bogor, terutama di Kecamatan Bogor Timur. Metodologi penentuan lahan kritis berdasarkan Peraturan Menteri Kehutanan Nomor. P.32/Menhut-II/2009 tentang Tata Cara Penyusunan Rencana Teknik Rehabilitasi Hutan dan Lahan Daerah Daerah Aliran Sungai (RTKRHL-DAS). Berdasarkan hasil penelitian, kategori kawasan budidaya untuk pertanian didapatkan luasan lahan kritis yaitu 98,21 ha dan luas lahan agak kritis 111,2 ha; dan kategori kawasan lindung didapatkan luasan lahan sangat kritis yaitu 7,99 ha, kritis seluas 18,94 ha, dan luas lahan agak kritis 3,2 ha. Nilai dukungan apek sosial ekonomi yakni 11,06 yang berarti kurang.Kata Kunci : Lahan Kritis, Bogor Timur
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".