DESAIN PONDASI DENGAN MENGGUNAKAN BATU KALI PADA JALAN SEKAYU-BETUNG
Bibliographic record
Abstract
Tanah merupakan aspek penting dalam perencanaan konstruksi, oleh karena itu daya dukung tanah merupakan faktor yang menentukan kestabilan, kelayakan dan umur suatu konstruksi.Perencanaan tembok penahan tanah ini berada pada STA ± 32 pada jalan Sekayu – Betung di desa Sungai Guci Kab Musi Banyuasin.Tujuan dari penelitian ini adalah mendapatkan desain pondasi penahan tanah menggunakan batu kali aman sehingga tidak terjadi lagi longsor.Kdalaman fondasi yang akan di analisis yaitu pada kedalaman -4,60 meter dari muka jalan existing dengan hasil pungujian Hand Bor mendapat nilai daya dukung tanah sebesar 2,148 kg/cm2 dan daya dukung perencanaan sebesar 0,86 kg/cm2.. Berdasarkan analisis didapatkan hasil bahwa fondasi dengankedalaman 7 dari muka jalan existing dan pondasi telapak gabungan dengan panjang 100 meter, lebar 4 meter, dan ketebalan 1 meter mampu menahan beban yang direncanakan. Hal ini didasarkan pada pengecekan terhadap stabilitas internaldanstabilitas eksternal yang dilakukan serta semua syarat keamanan telah terpenuhi
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.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".