Evaluasi Kualitas Mata Air di Sekitar Area Manifestasi Panas Bumi sebagai Sumber Air Baku Dusun Darum, Desa Candi, Kecamatan Bandungan, Jawa Tengah
Bibliographic record
Abstract
Daerah penelitian merupakan daerah dengan manifestasi panas bumi berupa mata air panas, fumarol dan batuan teralterasi. Penduduk di sekitar daerah penelitian dalam upaya memenuhi kebutuhan air baku mengambil dari sumber mata air yang berada di sekitar area panas bumi. Secara fisik, telah terjadi indikasi adanya penurunan kualitas air yaitu, air berbau, berasa seperti besi, dan berwarna. Penelitian ini bertujuan untuk mengidentifikasi karakteristik mata air dan mengetahui status mutu mata air yang berada di sekitar area manifestasi panas di Dusun Darum, Desa Candi, Kecamatan Bandungan, Kabupaten Semarang, Jawa Tengah. Penelitian ini dilakukan dengan metode survei lapangan. Data penelitian yang diperoleh berasal dari pengambilan sampel menggunakan metode Purposive Sampling dengan mengambil sampel mata air sebanyak 4 sampel, serta mengidentifikasi status mutu air dengan menggunakan metode indeks pencemaran. Hasil pengambilan sampel mata air didapati bahwa parameter pH, Besi dan Mangan melebihi standar baku mutu. Nilai status mutu air yang didapat masuk kedalam kategori tercemar ringan yaitu pada titik M1 dan tercemar sedang yaitu pada titik M2 dan M3 dengan nilai indeks pencemaran berkisar antara 4,351 sampai 5,531.Kata Kunci: Indeks Pencemaran, Kualitas Air; Manifestasi; Mata Air; Panas Bumi
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.012 | 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".