Indeks Pencemaran Air Permukaan Pada Kawasan Sumur Tua Minyak Bumi Di Desa Wonocolo, Kecamatan Kedewan, Kabupaten Bojonegoro, Provinsi Jawa Timur
Bibliographic record
Abstract
Penambangan minyak bumi di kawasan sumur tua Desa Wonocolo masih menggunakan teknologi dan peralatan sederhana dan dikerjakan tangan langsung oleh pekerja di lokasi Oleh karena itu, seluruh proses produksi dan distribusi dikendalikan oleh pekerja, yaitu masyarakat lokal dengan latar belakang yang berbeda-beda. Aliran limpasan dari air yang dihasilkan membawa semua potensi sumber pencemaran yang salah satunya adalah minyak lemak ke sungai sebagai aliran. Penelitian ini dilakukan untuk mengetahui status kualitas sungai menggunakan studi baku mutu dan menghitung indeks pencemaran. Metode utama yang digunakan meliputi pengambilan sampel air berdasarkan penggunaan lahan dan intensitas aktivitas sumur minyak. Kemudian dilakukan analisis data sampel di laboratorium untuk mengetahui kualitas air untuk parameter yang akan digunakan dalam perhitungan indeks pencemaran (suhu, pH, minyak lemak, TDS, TSS, COD). Data kualitas air diolah sebagai evaluasi kualitas air dengan menghitung indeks pencemaran. Hasil perhitungan indeks pencemaran menunjukkan sebagian besar potongan sungai dengan nilai diantara 1 sampai dengan 5 dan dikategorikan tercemar ringan.Kata Kunci: Evaluasi Kualitas Air; Indeks Pencemaran; Minyak Lemak; Pengelolaan Lingkungan; Sumur Tua Wonocolo
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".