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PERENCANAAN EMBUNG HIANG, KABUPATEN KUNINGAN, JAWA BARAT

2022· article· id· W4223951526 on OpenAlexaff
Sulwan Permana, Agus Ramdani, Risa Kristalia N

Bibliographic record

VenueJurnal Ilmiah Teknologi Infomasi Terapan · 2022
Typearticle
Languageid
FieldComputer Science
TopicMultimedia Learning Systems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsForestryHydrology (agriculture)GeographyGeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Embung Hiang adalah embung desa yang terletak di Desa Haur Kuning Kecamatan Nusaherang Kabupaten Kuningan, Jawa Barat. Embung Hiang merupakan bagian dari program pemerintah daerah dalam rangka percepatan pembangunan embung desa. Prioritas utama dari pemanfaatan embung ini adalah mengairi irigasi dan pariwisata. Lokasi rencana embung ideal secara topografi karena pada area cekungan dan dekat dengan areal irigasi sehingga penyaluran air dekat. Dengan luas DAS sebesar 34,86 Ha, embung akan memiliki area genangan sebesar 1 Ha dengan kapasitas tampung sebesar 9800 m3. Embung Hiang merupakan embung prioritas pembangunan dengan skor 57,69, yang akan melayani daerah irigasi seluas 30Ha, dengan rata-rata kebutuhan irigasi sebesar 0,76 l/s/ha. Berdasarkan hasil neraca air, embung dapat memenuhi kebutuhan air pada bulan November – Maret dan Mei – September. Sedangkan pada bulan April dan Oktober terdapat kekurangan air. Debit banjir rencana 100 tahun pada embung Hiang sebesar 7,05 m3/s. Potensi laju sedimen pada embung Hiang sebesar 7,502 ton/tahun atau 8,253 m3/tahun.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0470.014

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 head0.023
GPT teacher head0.250
Teacher spread0.227 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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