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Record W7088414080 · doi:10.23960/jrl.v2i3.66

ANALISA PENINGKATAN KAPASITAS RUANG JALAN SISINGAMANGARAJA, JALAN PANGLIMA POLIM DAN JALAN SALIN BATUBARA KOTA BANDAR LAMPUNG TERHADAP KINERJA RUAS JALAN

2025· article· id· W7088414080 on OpenAlexaff

Bibliographic record

VenueJurnal Rekayasa Lampung · 2025
Typearticle
Languageid
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHydrology (agriculture)

Abstract

fetched live from OpenAlex

Ruas Jalan Sisingamangaraja , jalan Panglima Polim dan jalan Salim Batubara Kota Bandar Lampung, menarik untuk dijadikan obyek penelitian terutama dalam usaha mengatasi kemacetan arus lalulintas akibat hambatan samping pada saat –saat jam sibuk , hal ini disebabkan pada ruas jalan tersebut adalah jalan alternatif untuk ke tujuan bagi pengendara serta terdapat pusat pusat kegiatan umum seperti sekolah sekolah, perkantor pemerintahan serta pusat kegiatan perdagangan dari hasil analisa diatas didapat Kinerja Ruas jalan Panglima Polim dan ruas jalan Sisingamangaraja serta ruas jalan Salim Batubara baik pada kondisi eksisting dengan Tingkat pelayanan yang ada untuk ruas jalan Panglima Polim , ruas jalan Samratulangi dan jalan Salim Batubara dengan Fungsi jalan Skunder Lokal LHR > 500 smp/jam kelas III Teknis III dengan kecepatan Tempuh 56-40 km/jam , dengan kondisi eksisting rata rata 37,5 km / jam dengan demikian telah terjadi penurunan tingkat pelayanan dengan tingkat B yang Kondisi arus lalu-lintas stabil, kecepatan operasi mulai dibatasi oleh kendaraan lainnya dan mulai dirasakan hambatan-hambatan oleh kendaraan disekitarnya , sedang kan pada saat setelah ditingkatkan kecepatan rata rata sebesar 41 km /jam.

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), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.260
Teacher spread0.250 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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