EVALUASI PERBEDAAN KADAR NI DAN FE PADA FRONT PENAMBANGAN DENGAN STOCKPILE PADA PT GENETASI AGUNG PERKASA KABUPATEN KONAWE SELATAN
Bibliographic record
Abstract
Penambangan yang dilakukan oleh PT. Generasi Agung Perkasa menggunakan sistem tambang terbuka (open cut) dan berpotensi terjadinya perbedaan kadar Ni dan Fe pada Front penambangan dengan stockpile. Tujuan dari penelitian ini adalah mengetahui besar persentase perbedaan kadar Ni dan Fe pada front penambangan dengan stockpile dan mengetahui faktor-faktor yang mempengaruhi terjadinya perbedaan kadar Ni dan Fe pada front penambangan dengan stockpile. Metode peneletian ini yaitu dengan langsung mengambil sampel di lapangan dan diolah langsung di lapangan. Berdasarkan hasil analisis menggunakan alat pengujian Niton XL2 diperoleh data kadar Ni dan Fe dari Front penambangan lebih meningkat kadarnya dibanding dengan data kadar Ni dan Fe dari Stockpile penambangan dengan selisih Ni sebesar 0,20% dan Fe sebesar 0,20%. Berdasarkan hasil penelitian penyebab terjadinya perubahan kadar Ni adalah Penyebaran bijih bersifat heterogen, Posisi Pengotor (waste) terhadap bijih dan kondisi alat preparasi yang kurang bersih
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.009 | 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".