ARAH DAN KECEPATAN ANGIN DI KABUPATEN WAKATOBI SEBAGAI SUMBER PEMBANGKIT LISTRIK TENAGA ANGIN
Bibliographic record
Abstract
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.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.010 |
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".