KAJIAN SEBARAN LOGAM BERAT TIMBAL (Pb) DAN KOBALT \n(Co) PADA SEDIMEN DI PESISIR PANTAI WAY KUALA \nBANDAR LAMPUNG
Bibliographic record
Abstract
Abstrak \n \nTelah dilakukan kajian sebaran logam berat Pb dan Co pada sedimen di Pesisir \nPantai Way Kuala Bandar Lampung. Konsentrasi logam Pb dan Co ditentukan \ndengan menggunakan Spektrofotometer Serapan Atom (SSA). Hasil analisis \nmenunjukkan konsentrasi logam Pb pada sedimen di Pesisir Pantai Way Kuala \nberada pada rentang 9,895 ± 0,873 ppm hingga 13,856 ± 1,168 ppm. Konsentrasi \nlogam berat Co pada sampel sedimen berada pada rentang 8.241 ±1.517 ppm \nsampai 9.861±0.487 ppm. Nilai konsentrasi logam berat Pb dan Co yang \ndiperoleh dalam penelitian masih dibawah nilai standar baku mutu logam berat \npada sedimen yang telah ditetapkan oleh The Ontario Ministry Of The \nEnvironment. Validasi metode pada penentuan kadar Pb dan Co dalam sedimen \nmenunjukan presisi dengan nilai RSD < 5 % dan nilai koefisien korelasi Pb dan \nCo masing-masing adalah 0,998 dan 0,990. \nKata Kunci : Sebaran logam berat, Pb, Co , Pesisir Pantai Way Kuala Bandar \nLampung \n \n \n \n \n \n \n \n \nAbstract \n \nHeavy metals distribution study was done for Pb and Co in Coastal sediment of \nWay Kuala Bandar Lampung. Pb and Co concentrations were determined by \nAtomic Absorption Spectrophotometer (AAS). The results of analysis showed \nconcentrations of Pb are at the range 9,895 0,873 ppm up to 1,168 13,856 ppm. \nThe concentrations of Co are at the range 8.241 1.517 ppm to 9.861 0.487 ppm. \nThe value of the concentrations of Pb and Co are obtained in the research is still \nunder the standard value of the raw quality of heavy metals in sediments that have \nbeen set by The Ontario Ministry Of The Environment. The validation method on \ndetermination of Pb and Co levels in sediments show precision with a value of \nRSD < 5% and the value of the correlation coefficient of Pb and Co respectively \nare 0,998 and 0,990. \nKeyword: distribution of heavy metals, Co, Pb, The Coastal of Way Kuala \nBandar Lampung
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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) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".