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Record W4377372213 · doi:10.59637/jsti.v18i2.224

KAJIAN TEKNIS KESTABILAN TEROWONGAN BATU LUBANG II MENGGUNAKAN METODE EMPIRIS DAN NUMERIK DI DESA SIMANINGGIR

2014· article· id· W4377372213 on OpenAlexaff
Yosep Kristovel Siregar, Joni Fitra, Rahidun Simangunsong

Bibliographic record

VenueJurnal Sains dan Teknologi ISTP · 2014
Typearticle
Languageid
FieldEngineering
TopicGeotechnical and construction materials studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesAnalytical Chemistry (journal)ArtChemistryChromatography

Abstract

fetched live from OpenAlex

Penelitian ini dilakukan untuk mengetahui nilai Klasifikasi massa batuan Rock Mass Rating dan Sistem Q pada Terowongan Batu Lubang II Desa Simaninggir Kabupaten Tapanuli Tengah, geometri terowongan Batu Lubang II dengan panjang 24 meter, lebar 4,1 meter, tinggi 5,4 meter, tunnel axis 200 dan tinggi OB di atas terowongan 19,7 meter. Proses untuk mendapatkan nilai kedua metode tersebut menggunakan analisis empiris dan numerik, untuk analisis empiris meliputi rock mass rating dan q-system, dan analisis numerik menggunakan software phase2, dips, dan unwedge, dari hasil analisis tersebut maka diperoleh nilai Rock Mass Rating sebesar 73 termasuk pada kategori sangat baik , nilai sistem Q sebesar 13,15 termasuk dalam kategori “good”,  arah umum bidang diskontinuitas pada N 500 E / 60, N 2580 E / 840, dan N 1240 E / 640 dari hasil software dips longsoran yang terjadi yaitu bentuk baji, tegangan utama sebesar 0,06 Mpa , Total displacement 0.0000036 ton/m3, Faktor Keamanan 0,26 sampai 5,74. Maka, faktor keamanan pada terowongan batu lubang II yang didapat yaitu aman, nilai FK > 1,3 menurut Event Hoek, dikarenakan hasil ­phase2 Faktor Keamanan pada terowongan yaitu 6.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
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
Published2014
Admission routes1
Has abstractyes

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