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Record W4381621793 · doi:10.31315/psb.v4i1.8825

Analisis Potensi Pencemaran Airtanah Akibat Kebocoran Tangki Pendam SPBU di Kalurahan Srimulyo, Kapanewon Piyungan, Kabupaten Bantul, DIY

2023· article· id· W4381621793 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProsiding Seminar Nasional Teknik Lingkungan Kebumian SATU BUMI · 2023
Typearticle
Languageid
FieldEnvironmental Science
TopicHeavy Metal Pollution Remediation
Canadian institutionsEncana (Canada)WiLAN (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesForestryGeography

Abstract

fetched live from OpenAlex

Seiring perkembangan zaman diikuti meningkatnya jumlah kendaraan bermotor menyebabkan peningkatan konsumsi BBM sehingga banyak dibangun Stasiun Pengisian Bahan Bakar (SPBU). Keberadaan SPBU memiliki risiko terhadap pencemaran airtanah akibat dari kebocoran tangki pendam dan aktivitas SPBU. SPBU Payak yang berada di Kalurahan Srimulyo, Kapanewon Piyungan, Kabupaten Bantul berada di wilayah padat pemukiman dengan kondisi airtanah yang dangkal. Tujuan dari penelitian ini adalah untuk mengetahui tingkat potensi pencemaran airtanah akibat kebocoran tangki pendam SPBU. Penentuan potensi pencemaran airtanah menggunakan metode Le Grand dengan 5 parameter fisik, yaitu kedalaman muka airtanah, kemiringan muka airtanah, daya serap di atas permukaan tanah, permeabilitas akuifer, dan jarak horizontal terhadap sumber pencemar. Hasil analisis menunjukan lokasi pengamatan memiliki potensi kecil (sangat sulit tercemar) dengan rentang total skor dari seluruh titik pengamatan 16,04 sampai 20,02. Kata Kunci: Airtanah; Le Grand; Potensi Pencemaran; SPBU; Tangki Pendam

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.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.006
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.007

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 head0.026
GPT teacher head0.270
Teacher spread0.244 · 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