M Pengembangan Pompa Irigasi Pertanian Menggunakan Energi Listrik Tenaga Surya di Desa Duri, Slahung, Ponorogo
Bibliographic record
Abstract
Community service program To develop agricultural irrigation is carried out in Duri village, Slahung sub-district, Ponorogo district. Agriculture in Duri village has been dependent on irrigation from the rain so agricultural activities only rely on the availability of water during the rainy season, while the potential for water from groundwater with a depth of 20 m has not been able to be utilized optimally because it is constrained by relatively expensive equipment and technology. For this reason, a community service program is carried out which aims to meet the irrigation needs of farmers. The method of implementing activities consists of an inventory of data related to the conditions and needs of materials to be applied with technology, technology design, technology application, training in the use of technology, and evaluation. The result of the activity is a program of implementing an irrigation pump with solar cell electricity that is applied to one of the farmer groups' fields, namely a water pump that is able to lift water from a depth of 20 m with a water discharge of 1080 L/hour and is able to last for 2 hours. able to meet water needs in the dry season and can be used to grow crops on a small scale such as vegetable crops on a land area of 100 m.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.060 | 0.006 |
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".