STABILISASI TANAH RAMAH LINGKUNGAN MENGGUNAKAN EGG SHELL POWDER
Bibliographic record
Abstract
Penelitian ini mengkaji stabilisasi tanah lempung menggunakan campuran cangkang telur (Egg Shell Powder, ESP) dengan metode pengujian Unconfined Compressive Strength (UCT). Karakteristik fisis tanah asli menunjukkan kelemahan dalam daya dukung yang perlu ditingkatkan. Cangkang telur, dengan komposisi kimiawi yang kaya kalsium, diolah menjadi serbuk (ESP) dan dicampurkan ke dalam tanah lempung dengan variasi persentase. Pengujian pemadatan tanah menggunakan metode Standard Proctor mengungkapkan bahwa penambahan ESP meningkatkan nilai kepadatan kering maksimum (MDD) dan menurunkan kadar air optimum (OMC). Hasil pengujian UCT menunjukkan peningkatan signifikan pada kekuatan tekan bebas tanah dengan penambahan ESP. Penambahan 8% ESP memberikan hasil optimal dengan peningkatan kekuatan tekan bebas hingga 420.08 kg/cm² pada pemeraman hari ke-21. Studi ini menyimpulkan bahwa ESP efektif sebagai bahan stabilisasi dapat meningkatkan sifat mekanis tanah lempung.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".