OPTIMASI TEMPERATUR DAN KONSENTRASI NaOH PADA PEMBUATAN KARBOL DARI MINYAK JELANTAH
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
Karbol adalah cairan pembersih non-detergenik (tidak mengandung deterjen) dan desinfektan yang memiliki wangi tertentu. Pada proses pembuatan karbol dari minyak jelantah, digunakan metode pemanasan untuk pembuatannya. Adapun tahapan penelitian ini dimulai dari preparasi bahan pembuatan, penjernihan awal bahan pembuatan, analisa warna, analisa koefisien fenol, analisa pH, dan analisa stabilitas pada air sadah. Berdasarkan hasil analisa yang paling optimum didapat pada karbol minyak jelantah dengan pemasakan di temperatur 90 °C. Pada konsentrasi NaOH 10 % nilai yang didapat pH = 7, koefisien fenol = 2,22, warna = coklat, stabilitas emulsi pada air sadah = stabil. Pada konsentrasi NaOH 20 % nilai yang didapat pH = 9, koefisien fenol = 2,22, warna = coklat, stabilitas emulsi pada air sadah = stabil. Pada konsentrasi NaOH 30 % nilai yang didapat pH = 10, koefisien fenol = 2,77, warna = coklat, stabilitas emulsi pada air sadah = stabil. Pada konsentrasi NaOH 40 % nilai yang didapat pH = 11, koefisien fenol = 2,77, warna = coklat, stabilitas emulsi pada air sadah = stabil. Hasil yang diperoleh sesuai dengan BSN (SNI-06-1842-1995).
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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