Penilaian Kualitas Air Tanah di Kecamatan Jenu Kabupaten Tuban Berdasarkan Indeks Kualitas Air Irigasi
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".