SEBARAN LOGAM BERAT TEMBAGA(Cu) DAN KOBALT (Co) PADA SEDIMEN LUMPUR LAUT DI PERAIRAN PELABUHAN PANJANG BANDAR LAMPUNG \n
Bibliographic record
Abstract
ABSTRAK \n \n \n \nSebaran logam berat Cu dan Co pada sedimen di perairan Pelabuhan Panjang telah dilakukan. Konsentrasi logam Cu dan Co ditentukan dengan menggunakan spektrofotometer serapan atom (SSA) dengan menggunakan empat validasi metode yaitu limit deteksi, presisi (ketelitian), akurasi (kecermatan) dan linieritas.Hasil analisis menunjukan logam Cudan Co pada sedimen di Pelabuhan Panjang Bandar Lampung memiliki konsentrasi yang tinggi (93,345± 4,772 ppm) untuk Cu dan (107,558 ± 0,403 ppm) untuk Co dan merata pada setiap titik, kecuali padatitik F dan G dengan konsentrasi yang rendah. Konsentrasi yang diperoleh dalam penelitian ini telah melebihi standar baku mutu logam berat pada sedimen yang telah ditetapkan oleh The Ontario Ministry Of The Environment. Validasi metode pada penentuan kadar Cu dan Co dalam sedimen menunjukan presisi dengan nilai relatif standar deviasi (RSD) < 5 %, akurasi pada rentang 80-113%, limit deteksi untuk masing-masing logam Cu dan Co adalah 0,004 dan 0,060, dan nilai koefisien variasi Cu dan Co masing-masing adalah 0,9998 dan 1.Temperatur, pH dan kuat arus tidak mempengaruhi besarnya kadar logam dalam sedimen tetapi dipengaruhi oleh jenis sedimen. \n \nKata Kunci : Sebaran logam berat, Cu, Co,Pelabuhan Panjang. \n \n \n \n \nABSTRACT \n \n \nDistribution of heavy metal Cu and Co in sediment of the Panjang port had been investigated. Determination of the metal’s concentrations were analyzed by Atomic Absorption Spectrofotometer. The analysis was carried out with four validation methods including: limit detection, acuration, precision and linearity. The analysis result showed that concentrations of sediment in Panjang Port has high concentration of Cu and Co i.e. 93,345 ± 4,772 ppm (Cu) and 107,558 ± 0,403 ppm (Co), except at site F and G is low. The concentration respectively of both metal ions has been exceeding the standard heavy metal weight on sediment as stated by The Ontario Ministry Of The Environment. Validation method on the determination of the ions showed precision with the value of standard deviations < 5 %, accuracy in the range 80 - 113 %, the limit detection for each ions 0,004 (Cu) and 0,060 ppm (Co), and the corellation coefficient of Cu and Co was 0,9998 and 1. Temperature, pH and the stream were not affecting metal contents in sediment but suggested were influenced by the type of sediment. \n \nKeywords: Distribution of heavy metals, Cu, Co, Panjang Port. \n
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".