pemanfaatan bipozzolan abu sekam padi pengganti fly ash dalam pembuatan semen untuk meningkatkan kualitas fisis mortar
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mendapatkan persentasi optimal Abu Sekam Padi ( ASP ) sebagai pengganti Fly Ash dalam pembuatan semen. \nMaterial yang digunakan yaitu klinker, gypsum, trash, lime stone, ASP yang dikalsinasi dengan suhu 8000C selama 2 jam, magnesium sulfat dalam pengujian kuat tekan serta pasir ottawa dalam pembuatan benda uji kuat tekan. Penambahan komposisi Abu Sekam Padi yaitu 0 % ASP, 10 % ASP, 12,5 % ASP, 15 % ASP, 17,5 % ASP, dan 20 % ASP. Berdasarkan pengujian sifat Kimia, kehalusan, dan kuat tekan menunjukkan bahwa ASP memberi pengaruh terhadap kualitas ekosemen. Dalam pengujian ekosemen didapat hasil bahwa penambahan ASP cenderung meningkatkan kebutuhan air semen, waktu pengikatan lebih lama, dan perkembangan cepat kaku pasta semen menjadi lebih baik. Kuat tekan yang diberi dua perlakuan yaitu direndam dalam larutan jenuh kapur dan larutan magnesium sulfat, terdapat penurunan kuat tekan pada perendaman dengan magneium sulfat, tetapi sampel masih memenuhi syarat SNI-15-7064-2004. \n \nKata Kunci : Abu Sekam Padi, Kehalusan, Kuat Tekan.
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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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".