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Record W3208286319 · doi:10.33005/envirotek.v13i2.123

ARAH DAN KECEPATAN ANGIN DI KABUPATEN WAKATOBI SEBAGAI SUMBER PEMBANGKIT LISTRIK TENAGA ANGIN

2021· article· id· W3208286319 on OpenAlex
Eva Safitri Maladeni, Alfian Ishak

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 ENVIROTEK · 2021
Typearticle
Languageid
FieldEngineering
TopicGeotechnical and construction materials studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsEnvironmental scienceEngineering

Abstract

fetched live from OpenAlex

Penelitian ini menganalisis persebaran wilayah potensial yang memiliki tenaga angin sebagai sumber energi listrik. Penelitian menggunakan pendektan kualitatif statistik dan survei. Alat yang digunakan adalah GPS, Anemometer, Stopwatch, Aplikasi (Software) GIS, Komputer dan alat tulis menulis serta kamera. Data dianalisis secara deskriptif kualitatif. Kabupaten Wakatobi memiliki potensi angin untuk dikembangkan energi listrik yakni 5 titik di Pulau Wangi-Wangi; 5 titik di Pulau Kaledupa; 4 titik Pulau Tomia; dan 4 titik di Pulau Binongko. Arah angin di Pulau Binongko dan Pulau Tomia bertiup dari arah Barat (W) atau 280,090. Di Pulau Kaledupa bertiup dari arah W (Barat) atau 280,090. Pulau Wangi-Wangi bertiup dari NW (Barat Laut) atau 326,030. Rata-rata kecepatan angin diwilayah studi bahwa rata-rata kecepatan angin tahunan berkisar antara 4-5 m/s (standar minimal 2,5 m/s) sehingga Kabupaten Wakatobi potensial untuk pengembangan energi listrik tenaga angin.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.196
Teacher spread0.186 · 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