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Record W4401831373 · doi:10.31957/acr.v6i2.3496

Analisis Pencemaran Biologis Perairan Pantai Wisata Holtekamp Berdasarkan Kepadatan Bakteri Coliform

2023· article· en· W4401831373 on OpenAlexaff
Popi Ida Laila Ayer, Vera K. Mandey, Korinus Rejauw, Efray Wanimbo, Maklon Warpur

Bibliographic record

VenueACROPORA Jurnal Ilmu Kelautan dan Perikanan Papua · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and Coastal Ecosystems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsEnvironmental sciencePhysics

Abstract

fetched live from OpenAlex

Holtekamp Sea is located in Youtefa Bay, directly connected to the Acai River, which carries waste from land-based activities such as bathing, washing, toilet, livestock farming, ponds, and agriculture. This will affect the bacteriological quality of the Holtekamp Coastal Waters. This study was conducted to analyze the quality of coliform bacteria density a an indicator of biological pollution in the waters of Holtekamp Beach Seawater sample were collected in April 2023. Bacteriological analysis was performed at Papua Regional Health Laboratory using the Most probable number (MPN) method. The research result show that the Nitrate range at stations I to III is 1.70, exceeding the water quality standard of 0.008 according to Decree of Minister of Environment No. 51 of 2004. Furthermore, coliform at stations I to III, it is more than equal to 1898 MPN/100 mL. Meanwhile, the total density of fecal coliform bacteria at stations I and II is 20 MPN/100 mL, and station III is 9 MPN/100 mL. According to Decree of the Minister of Environment No. 51 of 2004, the presence of coliform bacteria in the waters of Holtekamp Beach has exceeded the water quality standard. Thus, the total concentration of nitrate and coliform bacteria density indicates poor water quality or contamination

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.003

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 head0.014
GPT teacher head0.242
Teacher spread0.228 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueACROPORA Jurnal Ilmu Kelautan dan Perikanan PapuaSame topicMarine and Coastal EcosystemsFrench-language works237,207