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Record W7006761885

UJI KANDUNGAN LOGAM BERAT KADMIUM (CD) PADA
\nAIR IRIGASI, TANAH DAN SAYURAN KANGKUNG DI
\nKAWASAN INDUSTRI KECAMATAN MARGAASIH
\nKABUPATEN BANDUNG

2022· dissertation· id· W7006761885 on OpenAlexaboutno aff

Bibliographic record

VenueUniversitas Pasundan institutional repositories & scientific journals (Universitas Pasundan) · 2022
Typedissertation
Languageid
FieldEnvironmental Science
TopicHeavy Metal Pollution Remediation
Canadian institutionsnot available
Fundersnot available
KeywordsHeavy metalsParticulatesAir pollution
DOInot available

Abstract

fetched live from OpenAlex

Kecamatan Margaasih merupakan salah satu wilayah industri yang \nmasih terdapat cukup banyak lahan pertanian yang teridentifikasi \nkemungkinan adanya akumulasi logam berat Kadmium (Cd. Penelitian \nini bertujuan untuk mengetahui kandungan logam berat Kadmium (Cd) \npada air irigasi, tanah dan sayuran kangkung konsentrasi factor \nklimatik pada laham pertanian di kawasan industri kecamatan \nMargaasih Kabupaten Bandung. pada lahan pertanian di kawasan \nindustri kecamatan Margaasih Kabupaten Bandung. Penelitian ini \ndilakukan padabulan Mei 2022. Metode yang digunakan adalah analisis \ndeskriptif dengan teknik pengambilan sampel menggunakan metode \npurposive sampling pada tiga plot pengamatan dan di analisis \nmenggunakan dan di analisis menggunakan Atomic Absorption \nSpectrophotometry (AAS) di Laboratorium Sentral Universitas \nPadjadjaran. Hasil penelitian menunjukan kandungan logam berat \nkadmium (Cd) pada air irigasi sebesar ≤0,0001 mg/L masih berada \ndibawah baku mutu berdasarkan Peraturan Pemerintah Republik \nIndonesia Nomor 22 Tahun 2021, tanah sebesar 0,2482 mg/Kg berada \ndibawah baku mutu berdasarkan Kementerian Negara Kependudukan \ndan Lingkungan Hidup Indonesia, dan Universitas Dalhousie,Kanada \n(1992)., dan sayuran kangkung sebesar ≤0,0001 mg/L masih berada \ndibawah baku mutu berdasarkan Peraturan Badan Pengawas Obat Dan \nMakanan (BPOM) Nomor 5 Tahun 2018, hlm. 9 yaitu sebesar 0,05 \nmg/kg. Keadaan lingkungan pada saat dilakukan penelitian dengan \nparameter yang diukur diantaranya suhu udara berada pada kisaran \n28,77 oC, intensitas cahaya berada pada kisaran 23.867,77 lux, dan pH \ntanah berada pada kisaran 6,4.Berdasarkan hasil analisis menggunakan \nAAS dapat disimpulkan bahwa pertanian di kawasan Industri \nkecamatan Margaasih Kabupaten Bandung tidak tercemar oleh logam \nberat Kadmium. \nKata Kunci: Logam Berat, Kadmium (Cd), Air Irigasi, Tanah, Sayuran \nKangkung,

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0280.008

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 head0.246
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 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
Published2022
Admission routes1
Has abstractyes

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