Heavy metal content in pumpkin pond of Kutaraja Fishing Port Banda Aceh
Bibliographic record
Abstract
Fishing port scan support fishery resources management by incorporating social-economic activities to improve the local community's welfare; however, it can also negatively impact the environment by increasing waste pollution to the surrounding waters. Kutaraja Fishing Port, Banda Aceh, is one of the active fishing ports that conduct multiple activities, such as industrials, transportations, and domestic activities threatening the environment through the production of pollution such as heavy metals. The purpose of this study is to determine the concentration of heavy metals Zinc (Zn) and Chromium (Cr) and the sediment contamination level in the Kutaraja Fishing Port, Banda Aceh. This research was conducted in February 2021 at the water site of Samudra Kutaraja Fishing Port, Banda Aceh, and sampled sediments using the purposive sampling method. Samples were then analyzed for heavy metal concentration using the Atomic Absorption Spectrophotometer (AAS) instrument in the laboratory of the Aceh Industrial Research and Standardization Center (BARISTAND). The results showed that the concentration of heavy metal Zn ranged from 15.6507 - 27.2939 mg/kg. The majority of heavy metal Cr concentrations were below the test limit of 0.000, except at station 2, which was 9.1212. Both heavy metal concentrations are still categorized as low contamination criteria and still below the Australian and New Zealand Environment and Conservation Council (ANZECC, 2000) and the Canadian Council of Ministers for the Environment (CCME, 2002). This research proved that both heavy metals do not threaten the biota and have a low contamination level in the waters.Keywords:SedimentHeavy metal (Zn)Heavy metal (Cr)Atomic-absorptionSpectro-photometerAssessment
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".