Degradasi Lingkungan Akibat Aktivitas Penambangan Rakyat di Dusun Srumbung, Kalurahan Segoroyoso, Kapanewon Pleret, Kabupaten Bantul, DIY
Bibliographic record
Abstract
Penambangan rakyat yang telah dilakukan selama ±30 tahun di Dusun Srumbung, Desa Segoroyoso, KecamatanPleret, Kabupaten Bantul, DIY merupakan penambangan batuan dengan jenis material breksi piroklastik danbatupasir tufaan. Aktivitas penambangan tak berizin menimbulkan perubahan atas kondisi eksisting yangdiakibatkan oleh proses penambangan rakyat. Tujuan penelitian adalah untuk mengetahui dampak yangdihasilkan dari aktivitas penambangan rakyat di lokasi penelitian. Metode yang digunakan berupa deskriptifkuantitatif dengan parameter perubahan bentuklahan, perubahan kualitas air penambangan, perubahan kerapatanvegetasi, kondisi kesuburan tanah, dan perubahan sosial. Hasil penelitian menunjukan dampak yang dihasilkandari aktivitas penambangan rakyat berupa degradasi lingkungan pada komponen Abiotik, Biotik, dan Culture diLokasi Penelitian. Degradasi lingkungan tersebut yaitu: timbulnya bentuklahan baru, lereng antropogenik yangtak lepas dari FK kurang stabil di lokasi penambangan, terbentuknya cekungan kolam penambangan dengankondisi air berwarna keruh dan nilai TDS yang tinggi yaitu 790 mg/l, Penurunan kerapatan vegetasi sebesar 37,60% selama tahun 2006-2021, Hal tersebut juga didukung oleh kesuburan tanah yang kurang, di tunjukan olehuji lab nilai N-total sebesar 0,416 dan Kalium sebesar 31, 89 yang tergolong sedang di lokasi penambangan,kondisi sosial memunculkan dampak positif berupa peningkatan ekonomi dan kesejahteraan keluargapenambang dan dampak negatif berupa korban jiwa akibat kecelakaan dalam bekerja, dan konflik sosialmasyarakat.Kata Kunci : Penambangan Rakyat; Aktivitas; Degradasi Lingkungan; Lereng, Pembukaan Lahan
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".