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M Pengembangan Pompa Irigasi Pertanian Menggunakan Energi Listrik Tenaga Surya di Desa Duri, Slahung, Ponorogo

2021· article· en· W3169213865 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

VenueAgrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat · 2021
Typearticle
Languageen
FieldEngineering
TopicEngineering and Technology Innovations
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsIrrigationAgricultural engineeringAgricultureEnvironmental scienceAgricultural machineryWater resource managementEngineeringAgricultural scienceEnvironmental engineeringGeographyAgronomy

Abstract

fetched live from OpenAlex

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.

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)
Consensus categoriesnone
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 score0.228
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.190
Teacher spread0.183 · 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