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Record W4286681542 · doi:10.53810/jt.v22i2.425

KAJIAN STABILITAS TANAH DAN PONDASI PADA RENCANA RELOKASI TAPAK TOWER JALUR TRANSMISI (SUTT 70 Kv) TIMOR DAMPAK BADAI SEROJA DI KUPANG

2022· article· id· W4286681542 on OpenAlexaff
FRANS LIKADJA, Remigildus Cornelis, PARTOGI SIMATUPANG

Bibliographic record

VenueTeodolita Media Komunkasi Ilmiah di Bidang teknik · 2022
Typearticle
Languageid
FieldEngineering
TopicGeotechnical and construction materials studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsTowerStructural engineeringEngineering

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.016
GPT teacher head0.217
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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