Responsibility of Manufacturers in Waste Management of Plastic Packaged Drink Products Based on Law Number 18 of 2008 Regarding Waste Management (Case Study in Ambon City, Maluku Province)
Bibliographic record
Abstract
This article is motivated by the large number of irresponsible use of plastic waste in Ambon city, Maluku Province. This research is a normative legal research. The results obtained in this paper are Waste Management of plastic packaging beverage products carried out by Ambon city producers in accordance with Law Number 18 of 2008 concerning Waste. Management to reclaim packaging that has been consumed by consumers so that they can be recycled systematically, thoroughly and in a sustainable manner. and produce goods using materials that are environmentally friendly and reusable. Apart from doing this, producers are also responsible for waste management in collaboration with the Ambon City Government as stated in Article 44 paragraph (1) of Ambon City Regulation Number 11 of 2015 which includes the provision / construction of Temporary Shelters (TPS) or TPS 3R. (Reduce Reuse). , Recycling), Final Disposal Site (TPA) or Integrated Waste Processing Site (TPST), as well as supporting facilities and infrastructure, in this case providing a vehicle for transporting waste from TPS or TPS 3R to TPA or TPST, TPA or TPST management and / or management other processed products. This cooperation takes the form of sorting, collecting, transporting, processing, and / or final processing of waste.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".