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PERENCANAAN EMBUNG HIANG, KABUPATEN KUNINGAN, JAWA BARAT

2022· article· id· W4223951526 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 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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0060.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.001

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