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Record W2920211876 · doi:10.26760/jrh.v2i3.2510

Analisis Hubungan Kualitas Air Terhadap Indeks Keanekaragaman Plankton dan Bentos Di Waduk Cirata

2018· article· id· W2920211876 on OpenAlexaff
Ilma Prasiwi, Eka Wardhani

Bibliographic record

VenueJurnal Rekayasa Hijau · 2018
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsEnvironmental scienceZooplanktonPlanktonForestryHydrology (agriculture)BiologyEcologyGeographyGeology

Abstract

fetched live from OpenAlex

ABSTRAKWaduk Cirata merupakan salah satu danau buatan yang terdapat di Provinsi Jawa Barat. Waduk Cirata terletak berurutan (cascade) diantara Waduk Saguling dan Jatiluhur yang membendung Sungai Citarum. Telah diketahui kualitas air sungai yang masuk ke Waduk Cirata telah tercemar dan menyebabkan kualitas air Waduk Cirata menurun. Berdasarkan hal tersebut maka diperlukan suatu penelitian untuk mengetahui kualitas air menggunakan metode indeks pencemaran dengan indikator plankton dan bentos. Lokasi sampling dilakukan di Sungai Citarum, Cibalagung, Cicendo dan perairan Waduk Cirata di Desa Mande dan Margaluyu. Status mutu air sungai dan air Waduk Cirata dikategorikan cemar sedang. Parameter kualitas air sungai dan perairan Waduk Cirata yang melebihi baku mutu yaitu DO, BOD, Nitrit, Klorin Bebas, Timbal, dan Fenol. Total beban pencemaran dari 3 sungai yang masuk ke Waduk Cirata adalah BOD sebesar 10,839 kg/hari, Nitrit sebesar 0,336 kg/hari, Klorin Bebas sebesar 16,685 kg/hari, Timbal sebesar 0,083 kg/hari dan Fenol sebesar 0,008 kg/hari. Keanekaragaman plankton dan bentos di Desa Mande dan Margaluyu yaitu sedang. Di Desa Mande, spesies yang mendominasi fitoplankton yaitu Volvox sp. dan zooplankton yaitu Brachionus calyciflorus. Sedangkan bentos spesies yang mendominasi yaitu Filopaludina sp. Di Desa Margaluyu, spesies yang mendominasi fitoplankton yaitu Volvox sp. dan zooplankton yaitu Moina sp. Sedangkan bentos spesies yang mendominasi yaitu Macrobrachium sp.Kata Kunci: Cirata, Citarum, Kualitas Air, Beban Pencemaran, Plankton, BentosABSTRACTCirata Reservoir is one of the artificial lakes in West Java Province. Cirata Reservoir is located in a cascade between Saguling and Jatiluhur Reservoir which damages the Citarum River. It is known that the quality of river water entering the Cirata Reservoir has been polluted and caused the water quality of the Cirata Reservoir to decrease. Based on this, a study is needed to find out the quality of water using the pollution index method with plankton and benthic indicators. Sampling locations were carried out in the Citarum, Cibalagung, Cicendo and Cirata Reservoir waters in Mande and Margaluyu Villages. The status of river water quality and the water of Cirata Reservoir are categorized as medium pollution. Parameters of river and water quality of the Cirata Reservoir that exceed the quality standards are DO, BOD, Nitrite, Free Chlorine, Lead and Phenol. The total pollution load from the 3 rivers that enter the Cirata Reservoir is BOD of 10.839 kg/day, Nitrite of 0.336 kg/day, Free Chlorine of 16.658 kg/day, Lead of 0.083 kg/day and Fenol of 0.008 kg/day. The diversity of plankton and benthos in Mande and Margaluyu villages is medium. In Mande Village, the species that dominates phytoplankton namely Volvox sp. and zooplankton are Brachionus calyciflorus. Whereas the dominating benthic species, Filopaludina sp. In Margaluyu Village, the species that dominate the phytoplankton, Volvox sp. and zooplankton, Moina sp. Whereas the dominating benthic species are Macrobrachium sp.Keywords: Cirata, Citarum, Water Quality, Pollution Load, Plankton, Bentos

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.256
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; a candidate call from one teacher head, not a consensus.

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

Citations9
Published2018
Admission routes1
Has abstractyes

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