PENGARUH MOLARITAS ALKALI TERHADAP KUAT TARIK BELAH BETON GEOPOLIMER BERBASIS FLY ASH EX PLTU CIREBON POWER
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Penggunaan batu bara di Indonesia mencapai 15,6 juta metrik ton pada Februari 2018. Hasil dari pembakaran yang dihasilkan oleh batubara adalah bottom ash dan fly ash yang dikatagorikan limbah berbahaya dan beracun (B3). Persentase fly ash dari limbah pembakaran batu bara sekitar 80 – 90%, maka diperlukan pemanfaatan untuk mengurangi limbah fly ash tersebut. Beton geopolimer adalah beton yang menggunakan fly ash sebagai pengikat dengan penambahan alkali seperti natrium hidroksida dan natrium silikat. Konsetrasi molaritas natrium hidroksida yang dipakai yaitu 6M, 8M, 10M, 12M, 14M. Perbandingan alkali natrium hidroksida dengan natrium silikat adalah 2:1. pengujian kuat tarik belah dilakukan pada umur beton 28 hari. Dari hasil yang didapat bahwa molaritas natrium hidroksida lebih dari 10M mengurangi kekuatan beton geopolimer yang menggunakan fly ash dari PLTU Cirebon Power. Nilai kuat tarik belah beton geopolimer pada molaritas 6M, 8M, 10M lebih besar dibandingkan beton normal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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 it