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Record W2552117633

Kajian Kandungan Logam Berat Timbal (PB) dan Tembaga (CU) pada Benih Ikan Nila (Oreochromis Niloticus) serta Kualitas Air di Satker Pbiat Janti, Klaten

2011· dissertation· id· W2552117633 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typedissertation
Languageid
FieldEnvironmental Science
TopicHeavy Metal Pollution Remediation
Canadian institutionsnot available
Fundersnot available
KeywordsFleshEnvironmental chemistrySedimentWater qualityChemistryHeavy metalsPollutantEnvironmental scienceFish <Actinopterygii>FisheryEcologyBiologyFood science
DOInot available

Abstract

fetched live from OpenAlex

Water has as one of the most important elements of life. The quality of water can be determined from some parameters including the contents of metal and nonmetal ion in it. The heavy metals such as timbale (Pb) and copper (Cu) on the water will become pollutants that inhibit the growth of living organisms. This research aimed to find the concentrations of Pb and Cu in water, the flesh of nila fish seed and sediment and the water quality based on the parameters of temperature, pH, DO, BOD and COD at waters component in PBIAT Janti, Klaten. Samples were taken in the pool of PBIAT, unit by determining the point of sampling on left, center and right side of the pool. The analysis of Pb and Cu concentrations and water quality were conducted in the laboratory. The result data of temperature, pH, DO, BOD, COD, and heavy metal contents in the water were then compared with PPRI No. 82 Th. 2001, the heavy metal contents in the flesh of fish seed were compared with the decree of Dirjen POM No. 03725/B/VII/89 meanwhile heavy metal contents in sediment was compared with the result of Canadian Council of Ministers of The Environment of 1999. Those data were later tested with Anova and if there was significant difference followed with DMRT test at significance level of 5%. The result of research showed that the pool fish seed with length 1-3cm Pb concentration in water (0.022 ppm), flesh (0.236 mg/kg), sediment (3.774 mg/kg), temperature (28.6 °C), pH (7.75), DO (4.57 mg/l) and COD (49.33 mg/l) is still under the quality standard; Cu concentration in water (0.066 ppm), flesh (14.42 mg/kg), sediment (30.82 mg/kg) and BOD (12.57 mg/l) had exceeded the standard quality. In pool fish seed with lenght 4-6cm Pb concentration in flesh (0.153 mg/kg), sediment (3.532 mg/kg), Cu in water (0.010 ppm), sediment (7.602 mg/kg), temperature (28.13 °C), pH (7.41), DO (4.8 mg/l), BOD (4.6 mg/l), COD (12 mg/l) is still under the quality standard; Pb concentration in water (0.075 ppm), and Cu in flesh (28.46 mg/kg) was exceeded the standard quality. That there was significant difference between Pb in water, sediment, flesh of fish seed 1–3 and water, sediment 4–6 and inlet. The highest in sediment 1–3 (3.774 mg/kg) and the lowest in water 1-3 (0.022 ppm) is still under the quality standard and there is significant difference between the Cu in inlet, water, sediment 1–3 and water, flesh of fish seed 4–6. The highest was in the sediment 1–3 (30.82 mg/kg) was exceeded the standard quality and the the lowest in inlet (0.009 ppm) which was still under the standard quality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.012

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.

Opus teacher head0.018
GPT teacher head0.249
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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