KAJIAN TINGKAT KEBISINGAN KOMPLEK PERMUKIMAN DI RUANG PERUNTUKAN PERDAGANGAN DAN JASA DI KOTA JAMBI
Bibliographic record
Abstract
Merujuk pada Rencana Tata Ruang Wilayah Kota Jambi Tahun 2013-2033, salah satu ruang peruntukan perdagangan dan jasa di kota Jambi adalah di jalan Prof. Dr. Soemantri Brojonegoro Kelurahan Solok Sipin Kota Jambi yang diambil sebagai lokasi penelitian mewakili Kota Jambi. Namun, pada ruang tersebut terdapat komplek permukiman. Dengan demikian bila di ruang peruntukan perdagangan dan jasa terdapat permukiman, maka baku mutu lingkungan tingkat kebisingan cenderung melampaui baku mutu tingkat kebisingan permukiman, yakni > 55 dB (A).Untuk mengkaji tingkat kebisingan dilingkungan permukiman yang berada pada wilayah peruntukan perdagangan dan jasa merujuk ke Keputusan Menteri Lingkungan Hidup Nomor : 48/MENLH/XI/1996 Tentang Baku Tingkat Kebisingan yaitu Parameter kebisingan Ekivalen (Leq), kebisingan rata-rata (Levg), kebisingan minimum (Lmin), dan kebisingan maksimum (Lmax).Tingkat kebisingan di komplek permukiman Kota Jambi yang terletak di ruang peruntukan perdagangan dan jasa sudah di atas baku mutu lingkungan, yakni : 1. Tingkat Kebisingan Ekivalen = 62,4 dB (A); 2. Tingkat Kebisingan Rata-rata = 62,2 dB (A); 3. Tingkat Kebisingan Minimum =60,2 dB (A); dan 4. Tingkat Kebisingan Maksimum = 64,3 dB (A)
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.171 | 0.057 |
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".