Potential of Recycle Marine Debris in Pluit Emplacement, Jakarta to Achieve Sustainable Reduction of Marine Waste Generation
Bibliographic record
Abstract
Marine debris is one of the global problems due to human activities. One of the biggest loads of marine debris is in the city of Jakarta, namely the Pluit Emplacement. Emplacement Pluit is a special location for managing marine debris in Jakarta, with the largest burden of marine debris problems discharged from urban areas. This study analyses aquatic waste's generation or marine debris, composition, and recycling potential at the Pluit Emplacement. The research process starts with formulating the problem, conducting a literature review, collecting data, and analyzing it under ideal conditions and planning. This research was conducted by sampling for seven consecutive days, and load count analysis to determine the generation and composition of marine debris. The marine debris composition is grouped using a load based on the volume/volume (v/v) ratio. The generation of marine debris in the Pluit Emplacement can reach 230 m3/day or 303.6 tons/day. However, this value is higher than other areas in Jakarta and other areas in Indonesia. The composition of marine debris consists of Straw (PET), Food packaging, Drink cup, PET Bottle, Miscellaneous packaging, Plastic bags (PP), Plastic toys (HDPE), Metal, Styrofoam, biodegradable waste (wood, twigs and leaves) which is 0.1%; 3.1%; 2.2%; 22.5%; 4.0%; 0.7%; 0.8%; 0.6%; 3.1%; and 62.8%, respectively. The level of potential for recycling of Pluit's marine debris is 67.86%, with the greatest potential being from the utilization of biodegradable waste into compost or recycling of plastic waste, especially PET plastic. This considers the absence of previous sustainable marine debris processing. These findings can be one of the considerations for the government in making decisions to carry out appropriate planning according to the characteristics of marine debris, that this research can also be used as consideration for regions and even other countries in the characterization and planning of marine debris management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".