Pelatihan perencanaan pembangkit listrik tenaga mikrohidro pada program Innovation and Investment for Inclusive Sustainable Economic Development
Bibliographic record
Abstract
Indonesia dan federasi Jerman memiliki perjanjian berupa program Innovation and Investment for Inclusive Sustainable Economic Development ( ISED) program ini dilaksanakan oleh Bappenas dan Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH dengan pelaksana kegiatan PT. Entec Indonesia. Tujuan program untuk mempromosikan dan memastikan lapangan kerja hijau di sektor energi, Pelatihan ini sudah direformasi secara inovatif, untuk memfasilitasi peningkatan kerangka kelembagaan dan peraturan jangka panjang. Metode pelatihan digunakan kombinasi pelatihan mulai dari pre test, introduksi, siklus hidrologi, bangunan air, studi lapangan, sistem mekanikal, elektrikal, biaya, penjadwalan, penyusunan dokumen laporan perencanaan PLTMH , simulasi unit turbin simulator, studi lapangan pembangkit Gunung Halu dan post test . Hasil dan pembahasan kegiatan dilaksanakan pada tanggal 19-23 Desember 2022 di Hycom BBPPMPV BMTI , Cimahi, Jawa Barat, peserta memiliki latar belakang majemuk diberikan pelatihan perencanaan PLTMH peserta diberikan materi, simulasi dan praktik menyusun perencanaan PLTMH . Kegiatan yang terselenggara terbukti dapat memberikan pengalaman bagi peserta merencanakan dan menyusun dokumen perencanaan.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.097 | 0.035 |
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".