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Record W3185259567 · doi:10.33087/jiubj.v21i2.1320

Penilaian Kualitas Air Tanah di Kecamatan Jenu Kabupaten Tuban Berdasarkan Indeks Kualitas Air Irigasi

2021· article· en· W3185259567 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

VenueJurnal Ilmiah Universitas Batanghari Jambi · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicWater and Land Management
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsGroundwaterIrrigationEnvironmental scienceWater resource managementFarm waterWater qualityAgricultureSoil waterHydrology (agriculture)Environmental engineeringWater conservationGeographyGeologySoil science

Abstract

fetched live from OpenAlex

The groundwater used for irrigation must have the quality according to its designation. The objective of this study was to assess the appropriateness of groundwater quality used as a source of irrigation water. This study was conducted on agricultural land in an area close to the coast and potentially intruded by sea water. The location of this study was groundwater irrigation land in the irrigation area of production wells SDTB 063, SDTB 064, and SDTB 342 located in Jenu District, Tuban Regency, East Java Province. Groundwater quality assessment was carried out using the IQWI model. Based on the IWQI value obtained, it can be shown that the groundwater quality from SDTB 064 and SDTB 342 production wells has low water usage restrictions, while the groundwater quality from SDJB 603 production well has moderate water usage restrictions. Groundwater quality with low water usage restrictions can be used as irrigation water on soils with moderate permeability with a recommendation to wash the salt. Groundwater quality with moderate water usage restrictions can be used as irrigation water on soils with moderate to high permeability with a recommendation to wash the salt. Farmers in the study area are recommended to be able to cultivate various alternative of high economic value crops that are suitable with the groundwater quality used as a source of irrigation water as stated in this study, while still making adjustments to agricultural land conditions and climatic conditions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.009
GPT teacher head0.209
Teacher spread0.200 · 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