Analisis Angka Kebutuhan Nyata Operasi dan Pemeliharaan Jaringan Irigasi Cimuncang
Bibliographic record
Abstract
Analisis Angka Kebutuhan Nyata Operasi Dan Pemeliharaan Jaringan Irigasi Cimuncang Desa Pasirhalang Kecamatan Sukaraja Kabupaten Sukabumi. Jaringan irigasi Cimuncang adalah saluran, bangunan utama, dan bangunan pelengkap yang berfungsi untuk menyediakan air irigasi serta memiliki luas areal fungsionalnya yaitu 299 Ha. Namun, kondisi daerah irigasi Cimuncang saat ini terdapat beberapa kerusakan di bangunan airnya. Daerah irigasi Cimuncang termasuk ke dalam salah satu daerah irigasi luas yang tentunya akan membutuhkan daya, perbekalan dan dana yang tidak sedikit dalam menjalankan operasi serta pemeliharaan jaringan irigasi. Hasil dari penelitian ini mengetahui Angka Kebutuhan Nyata dan Pemeliharaan Jaringan Irigasi Cimuncang terdapat 48,91% artinya kinerja bangunan irigasi termasuk kategori rusak berat, rekap kinerja bangunan pengatur yaitu 64,1% (rusak sedang) dan bangunan pelengkap yaitu 86% (rusak ringan), nilai fungsional kinerja saluran dan inspeksi jalan irigasi Cimuncang 71,92% artinya kinerja saluran irigasi Cimuncang termasuk kategori pemeliharaan berkala bersifat perbaikan. Hasil perhitungan RAB untuk kegiatan Angka Kebutuhan Nyata dan Pemeliharaan Jaringan Irigasi yaitu sebesar Rp. 402.600.000 (Empat Ratus Dua Juta Enam Ratus Ribu Rupiah).
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".