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Record W4404896444 · doi:10.24198/mkk.v7i2.53067

Quality of River Water in the District Area of Middle of Java

2024· article· en· W4404896444 on OpenAlexaff
Fiqi Nurbaya, Yohana Fide Oktavia, Syefira Ayodia Johar

Bibliographic record

VenueMedia Karya Kesehatan · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring Technologies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsJavaWater qualityQuality (philosophy)Hydrology (agriculture)GeographyWater resource managementEnvironmental scienceComputer scienceGeologyProgramming languageEcologyPhysicsGeotechnical engineeringBiology

Abstract

fetched live from OpenAlex

The decline in river air quality is characterized by a decline in air quality parameters, namely physical, chemical and microbiological parameters. Preliminary studies revealed that the physical and chemical parameters of TSS, BOD were respectively 52 mg/L, 57 mg/L, the test results were not in accordance with Government Regulation no. 22 of 2021 concerning Implementation of Environmental Protection and Management. The aim of this research is to determine the quality of river water based on physical and chemical parameters, namely Total Suspended Solid (TSS), Total Dissolved Solid (TDS), Chemical Oxygen Demand (COD), Biological Oxygen Demand (BOD), Dissolved Oxygen (DO), water potential hydrogen (pH) in Karanganyar Regency. This research method is quantitative descriptive using laboratory tests, with samples from 6 rivers in each sub-watershed. The sampling technique uses Integrated Sampling by carrying out laboratory testing. Data analysis uses air quality measurements using the pollutant index method. The parameters tested are physical parameters, namely TSS, TDS and chemical parameters, namely COD, BOD, DO and pH. The research results show that the TSS parameters exceed the quality standards, TDS corresponds to the quality standards, COD exceeds the quality standards, BOD exceeds the quality standards, DO corresponds to the quality standards, pH does not comply with the quality standards. The conclusions in this research are that the Jlamprang River sub-watershed of Kudus is 1.99 (lightly polluted), the Bagor River is sub-watershed of Jlantah 2.31 (lightly polluted), the Gembong River is sub-watershed of Samin 6.94 (moderately polluted), the Kumpul River is sub-watershed of Mungkung 2 .74 (lightly polluted), Kendat River, Kenatan sub-watershed, 2.67 (lightly polluted), Pepe River, Pepe sub-watershed, 2.14 (lightly polluted). The suggestion for the Karanganyar District Government is to monitor river water quality regularly Keywords: Chemical Oxygen Demand, Biological Oxygen Demand, Dissolved Oxygen.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.079
GPT teacher head0.282
Teacher spread0.203 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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