KAJIAN STABILITAS TANAH DAN PONDASI PADA RENCANA RELOKASI TAPAK TOWER JALUR TRANSMISI (SUTT 70 Kv) TIMOR DAMPAK BADAI SEROJA DI KUPANG
Bibliographic record
Abstract
Abstrak Keberadaan tower transmisi sangat penting sebagai infrastruktur utama penyaluran tenaga listrik terutama di Nusa Tenggara Timur yang memiliki pusat pembangkit berjauhan dengan pusat beban. Akibat badai seroja, beberapa tapak tower mengalami kegagalan terutama karena sliding pada pondasinya. Karena itu, direncanakan reokasi tapak tower yang mengalami sliding tersebut. Untuk itu sngat diperlukan kajian terutama kestabilan tanah dasar pondasi sehingga desain pondasi lebih aman terhadap beban beban yang bekerja. Dalam penelitian ini telah dilakukan penyelidikan tanah yaitu pengujian sondir, boring, pengujian sampel UDS dan survey pemukaan tanah. Hasil penelitian menunjukan bahwa jenis tanahnya adalah lanau bercampur lempung bobonaro yang memiliki sifat ekspansive karena sifat kembang susut yang tinggi. Hal ini terkonfirmasi adanya retak permukaan yang luas. Berdasarkan hasi evauasi menunjukkan bahwa tekanan tanah berada pada kedalaman rata rata 16 m sehingga jenis pondasi disarankan mengunakan jnis pondasi dalam daya dukungnya memanfaatkan end bearing dan friksi. Hal ini karena nilai sudut kohesi dan sudut geser tanah sangat kecil Kata kunci: Stabilitas tanah, pondasi, Tower, Transmisi, Seroja.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.095 | 0.034 |
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".