Sistem Pengolahan Sampah pada Permukiman Industri Studi Kasus: RW 02 dan RW 12 Kelurahan Cigondewah Kaler, Kecamatan Cigondewah, Kota Bandung
Bibliographic record
Abstract
Pengolahan sampah yang baik merupakan hal penting bagi siapapun guna menjamin kualitas kesehatan pada suatu permukiman. Riset ini dilakukan untuk mengetahui sistem pengolahan sampah yang terjadi pada permukiman industri, baik secara mandiri maupun dengan bantuan pihak lain. Penelitian dilakukan dengan metode kualitatif deskriptif, yaitu dengan menguraikan atau menjelaskan suatu fenomena yang terjadi. Adapun populasi pada penelitian ini ialah masyarakat dan wilayah permukiman di RW 02 dan RW 12. Penentuan sampel dilakukan dengan teknik random sampling, yaitu teknik pemilihan sampel terhadap siapa saja yang ditemui tim peneliti pada saat penelitian. Hasil riset menemukan bahwa terdapat dua jenis limbah di permukiman industri Kelurahan Cigondewah Kaler ini, yaitu limbah organik dan anorganik. Limbah anorganik dapat dibedakan ke dalam tiga kelompok, yaitu sampah tekstil, sampah plastik, dan sampah kardus. Permasalahan limbah anorganik tersebut diatasi oleh warga dengan cara pemilahan (sorting) kemudian dijual ke pihak lain. Sedangkan untuk limbah organik, masyarakat kampung Cigondewah belum melakukan upaya Pengolahan
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".