Pengaruh Microbially Induced Calcite Precipitation (MICP) terhadap Perilaku Kuat Geser Tanah Terkontaminasi Batubara
Bibliographic record
Abstract
Microbially induced calcite precipitation (MICP) adalah teknik perbaikan tanah dengan menggunakan mikroorganisme yang mampu mengubah dan meningkatkan sifat mekanik dan fisik. Dalam penelitian ini, uji geser langsung dengan mengacu pada standard SNI 03-3420-1994 digunakan untuk mengetahui pengaruh pengendapan calcite terhadap perilaku kuat geser tanah terkontaminasi batubara. Bakteri Bacillus subtilis sebanyak 6% ditambahkan ke dalam tanah yang terkontaminasi 5%, 10% dan 15% batubara. Bakteri yang digunakan menggunakan kultur 3 hari dimana berada pada fase stasioner. Hasil penelitian menunjukkan bahwa terjadi peningkatan yang cukup baik terhadap nilai kohesi dan sudut geser dalam sebagai parameter kuat geser setelah masa pemeraman. Stabilisasi MICP pada tanah terkontaminasi 5% batubara meningkatkan kuat geser sebesar 3 kali lipat sedangkan pada tanah terkontaminasi 10% dan 15% batubara terjadi peningkatan kuat geser masing-masing sebesar 7 dan 15 kali lipat dibandingkan dengan tanah asli.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".