Evaluasi Tempat Pemrosesan Akhir (TPA) Sampah Sukosari Berdasarkan Indeks Risiko Lingkungan di Desa Sukosari, Kecamatan Jumantono Kabupaten Karanganyar Provinsi Jawa Tengah
Bibliographic record
Abstract
TPA Sukosari beroperasi dari tahun 1994 dirancang menggunakan metode Controlled Landfill. Akan tetapi, padapelaksanaan di lapangan masih menerapkan metode Open Dumping. Hal tersebut dapat berpotensi terjadinyapencemaran yang berdampak terhadap kualitas lingkungan sekitar TPA Sukosari seperti air lindi yang dihasilkandari timbunan sampah dengan pengolahan air lindi yang belum optimal hanya ditampung pada kolampenampungan air lindi, dan lain sebagainya. Penelitian ini memiliki tujuan untuk mengevaluasi kualitaslingkungan berdasarkan penilaian Indeks Risiko Lingkungan. Metodologi dalam penelitian ini sepertipengumpulan data (metode survei dan pemetaan, serta wawancara), metode laboratorium dan metode analisis.Parameter yang diperlukan dalam pengharkatan penilaian Indeks Risiko Lingkungan memiliki 3 kategori yaitukriteria lokasi (20 parameter), karakteristik sampah (4 parameter) dan karakteristik lindi (3 parameter)berdasarkan Peraturan Menteri Pekerjaan Umum Nomor 3 Tahun 2013. Hasil penelitian menunjukan TPASukosari masuk dalam keadaan tingkat bahaya sedang dengan nilai Indeks Risiko Lingkungan sebesar 493,4987,nilai yang dihasilkan memiliki tindakan yang telah disarankan yaitu meneruskan TPA dan melakukan rehabilitasilahan urug terkendali secara bertahap.Kata Kunci: TPA Sukosari; Indeks Risiko Lingkungan; Penimbunan Terbuka; Rehabilitasi TPA
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.007 | 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".