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Record W3211224747 · doi:10.33087/civronlit.v6i2.86

Analisa Efektivitas Penerapan Jalur Khusus Sepeda Di Kota Palembang Pada Rute Jakabaring Sport City – BKB

2021· article· id· W3211224747 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Civronlit Unbari · 2021
Typearticle
Languageid
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsPsychologyArt

Abstract

fetched live from OpenAlex

Pemerintah kota Palembang telah meresmikan jalur khusus sepeda pada tahun 2020 lalu oleh Walikota Palembang, ada tiga rute resmi jalur khusus sepeda tersebut. Tiga jalur khusus pecinta sepeda ini dibuat pemerintah untuk menertibkan arus lalu lintas dan memfasilitasi para pengguna sepeda di kota Palembang. Dalam penerapan penggunaan jalur khusus sepeda pada kawasan kota Palembang masih mengalami kesulitan dikarenakan besarnya volume kendaraan pribadi yang di dominasi oleh kendaraan bermotor, selain itu masih minimnya pengguna sepeda dan tujuan bersepeda masih sebatas untuk olahraga. Tujuan penelitian adalah untuk menganalisis efektivitas jalur khusus sepeda di Kota Palembang menggunakan metode deskriptif kuantitatif dan metode analisis dengan teknik BLOS (Bicycle Level Of Service). Pengumpulan data dilakukan dengan survey. Hasil penelitian dan analisis dengan BLOS didapat hari Senin dan Minggu pada jam 06.00 - 08.00 WIB, 11.00 – 13.00 WIB, dan 16.00 – 18.00 WIB nilai BLOS berada pada peringkat “E” yaitu lebih dari 4,5 -5,5 artinya lingkungan tidak aman untuk sepeda.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.223
Teacher spread0.207 · 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