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Record W4390147384 · doi:10.20527/jukung.v9i2.17559

PERHITUNGAN STATUS MUTU AIR BENDUNGANDI PROVINSI NUSA TENGGARA BARAT

2023· article· id· W4390147384 on OpenAlexaff
Eka Wadhani, Athaya Zahrani Irmansyah, Syania Budi Oktaviani, Aulia Ulfie Rindiantika

Bibliographic record

VenueJukung (Jurnal Teknik Lingkungan) · 2023
Typearticle
Languageid
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesForestryGeographyArt

Abstract

fetched live from OpenAlex

Penelitian ini menganalisis status mutu air Bendungan Batujai, Pandaduri, Pengga, Tibu Kuning, dan Telaga Lebur yang berlokasi di Provinsi Nusa Tenggara Barat (NTB). Kualitas air waduk dihitung dengan menggunakan Peraturan Pemerintah Lingkungan Hidup No 115 Tahun 2003 tentang Pedoman Penentuan Status Mutu Air. Sampling air dianalisis dari titik genangan dan sungai yang masuk ke bendungan tersebut. Hasil penelitian menyatakan bahwa kualitas air bendungan termasuk ke dalam kategori tercemar ringan sampai cemar berat dimana tingkat pencemaran terendah ada di Bendungan Telaga Lebur dan tertinggi di Bendungan Pengga. Pencemaran terjadi karena terdapat delapan parameter yang telah melebihi baku mutu yaitu TSS, DO, Ammonia, Nitrat, Nitrit, Besi, Mangan, dan Total Fosfat. Terdapat parameter yang memenuhi baku mutu karena ada aktivitas lain di sekitar bendungan yang dapat dilihat dari penggunaan lahan yang merupakan sumber pencemar. Dilihat dari setiap sumber pencemarnya, dapat disimpulkan bahwa jumlah TSS, BOD, COD, TN, dan TP di setiap bendungan paling besar bersumber dari permukiman, sehingga perlu adanya upaya pengendalian kualitas air berupa pengelolaan di sektor pertanian, persampahan, dan limbah domestik. Kata kunci: Bendungan, Nusa Tenggara Barat, Pencemaran, Status Mutu Air.

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)0.002
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.012

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 head0.029
GPT teacher head0.284
Teacher spread0.255 · 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 designBench or experimental
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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