PENGUKURAN TINGKAT KEBISINGAN DI LOKASI RENCANA PEMBANGUNAN FLY OVER KOTA BANDUNG
Bibliographic record
Abstract
ABSTRAKTujuan penelitian ini untuk mengukur tingkat kebisingan pada rencana pembangunan fly over Kota Bandung. Pengukuran kebisingan dilakukan di sembilan titik yang berada pada area Kecamatan Cicendo dan Andir dengan rencana panjang fly over 550 meter dan lebar 11,5 meter. Metode pengumpulan data meliputi data primer yaitu observasi lapangan, dokumentasi kondisi eksisting dengan mengukur tingkat kebisingan. Data sekunder yaitu deskripsi kegiatan dan peta lokasi. Pengolahan dan Analisis data mengacu pada Keputusan Menteri Lingkungan Hidup Nomor 48 Tahun 1996 tentang Baku Tingkat Kebisingan. Hasil penelitian pengukuran tingkat kebisingan di titik 1 sebesar 80,60 dBA, titik 2 sebesar 80,98 dBA, titik 3 sebesar 80,27 dBA untuk peruntukan perdagangan dan jasa sebesar 70 dB(A) dan titik 4 sebesar 77,45 dBA, titik 5 sebesar 77,96 dBA, titik 6 sebesar 77,93 dBA, titik 7 sebesar 78,77 dBA, titik 8 sebesar 75,75 dBA dan titik 9 sebesar 79,08 dBA untuk peruntukan perumahan dan pemukiman sebesar 55 dB(A). Kesimpulan penelitian ini bahwa tingkat kebisingan di rencana pembangunan Fly Over Kota Bandung melebihi baku mutu.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.005 |
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".