Analisis Kualitas Udara Ambien pada Area Tambang Batubara Jenis Terbuka (Open Pit) PT XX di Desa Sungai Payang, Kecamatan Loa Kulu, Kabupaten Kutai Kartanegara, Provinsi Kalimantan Timur
Bibliographic record
Abstract
Kegiatan pertambangan batubara di Indonesia umumnya dilakukan dengan sistem pertambangan terbuka (open pit). Prinsipnya yaitu kegiatan pertambangan batubara dapat menyebabkan penurunan kualitas lingkungan, salah satunya yaitu penurunan kualitas udara. Tujuan penelitian ini dilakukan untuk mengetahui kualitas udara berdasarkan ISPU (Indeks Standar Pencemar Udara) pada lokasi penelitian. Pengambilan sampel udara dengan parameter Particulate Matter 10 µm (PM10) pada tiga titik yang dapat mewakili lokasi penelitian. Tiga titik tersebut berada di bagian utara, selatan, dan timur, dengan penggunaan lahan berupa area kerja karyawan yang bekerja di luar ruangan, yaitu Pit Stop Wheel, Pit Stop Track, dan View Point. Pengambilan sampel udara untuk waktu pengukurannya disesuaikan dengan Peraturan Menteri Lingkungan Hidup dan Kehutanan Republik Indonesia Nomor P.14/MENLHK/SETJEN/KUM.1/7/2020 Tentang Indeks Standar Pencemar Udara yaitu selama 24 jam dengan menggunakan alat High Volume Air Sampler (HVAS). Hasil dari penelitian ini menunjukkan bahwa dari 3 titik lokasi pengambilan sampel udara yang telah dilakukan selama 24 jam memiliki konsentrasi PM10 di bawah baku mutu yaitu sebesar 75 µg/m3 dan kualitas udara berdasarkan ISPU di lokasi penelitian termasuk ke dalam kategori baik dengan status warna hijau.Kata kunci: Pertambangan Batubara, PM10, ISPU
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 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".