PENGARUH MUKA AIRTANAH TERHADAP KESTABILAN LERENG PADA RUAS JALAN RAYA CADAS PANGERAN, SUMEDANG
Bibliographic record
Abstract
ABSTRAK Penelitian kestabilan lereng telah dilakukan pada ruas jalan raya Cadas Pangeran km 35, daerah Cigendel, Kecamatan Rancakalong, Kabupaten Sumedang, Jawa Barat. Upaya mitigasi yang telah dilakukan oleh Dinas PU belum dapat menyelesaikan permasalahan lereng, sehingga perlu dilakukan penelitian untuk mengkaji kembali kondisi kestabilan lereng. Makalah ini menyajikan analisis kestabilan lereng kondisi saat ini berdasarkan penyelidikan geoteknik. Hasil pemodelan kestabilan lereng dilakukan dengan menggunakan metode General Limit Equilibrium (GLE) mengindikasikan bahwa lereng dalam kondisi kritis dengan nilai faktor keamanan mendekati 1,0. Dengan demikian, pemasangan tiang bor di kaki lereng tidak dapat meningkatkan minimum faktor keamanan lereng yang diperlukan secara signifikan. Kondisi kestabilan lereng akan dapat menurun, apabila terdapat kenaikan muka airtanah sebesar 2,5 m dari kondisi normal, dengan nilai faktor keamanan lereng turun dari 1,250 menjadi 1,145. Hasil analisis menunjukkan bahwa pemasangan sistem sub-drainase untuk mencegah kenaikan muka airtanah sangat penting untuk menjaga kestabilan lereng, sehingga dapat mengurangi bencana gerakan tanah pada lereng ini di masa mendatang.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".