Estimasi Biaya Produksi Alat Gali Muat dan Alat Angkut pada Penambangan Nikel di Blok B1 Pit 5 PT. Anugrah Harisma Barakah Kecamatan Kabaena Selatan Kabupaten Bombana Provinsi Sulawesi Tenggara
Bibliographic record
Abstract
Perseroan Terbatas Anugrah Harisma Barakah merupakan salah satu perusahaan yang melakukan penambangan bijih nikel yang berlokasi di Kecamatan Kabaena Selatan, Kabupaten Bombana, Provinsi Sulawesi Tenggara yang sementara ini berencana membuka Blok baru yaitu pada Blok B1 Pit 5. Penelitian ini bertujuan untuk menentukan jumlah serta biaya produksi alat gali muat dan alat angkut pada proses pengupasan overburden dan penambangan biji nikel dengan tonase overburden 130.421 ton dan tonase ore yaitu 82.316 ton. Target produksi pengupasan overburden yaitu 75.000 ton dan target produksi penambangan nikel yaitu 50.000 ton. Alat gali muat yang digunakan pada kegiatan pengupasan overburden dan penambangan biji nikel yaitu excavator Komatsu PC 300-8 sedangkan alat angkut yang digunakan yaitu Dump truck Hino 500 FM260JD. Jumlah alat gali muat yang dibutuhkan pada kegiatan pengupasan overburden yaitu 1 unit alat gali muat dan 4 unit alat angkut. Kemudian untuk penambangan biji nikel menggunakan 1 unit alat gali muat dan 3 unit alat angkut. Kemudian dibutuhkan 1 unit alat gali muat dan 4 unit alat angkut kegiatan pemindahan ore dari ETO ke EFO. Total biaya yang butuhkan pada kegiatan pengupasan overburden yaitu Rp 2.257.488.280 dan biaya penambangan nikel yaitu Rp 6.803.422.885. Total biaya produksi mulai dari pengupasan overburden sampai penambangan biji nikel pada Blok B1 Pit 5 PT. Anugrah Harisma Barakah yaitu Rp 9.060.911.166.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".