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Record W3196026061 · doi:10.30659/pondasi.v26i1.17388

VOLUME LALU LINTAS DAN LEVEL OF SERVICE (LOS) DI KORIDOR JALAN GAJAH MADA KOTA PONTIANAK

2021· article· en· W3196026061 on OpenAlexaff
Arghifa Fitri Sulistya Farhandi, Ely Nurhidayati, Meta Indah Fitriani

Bibliographic record

VenuePondasi · 2021
Typearticle
Languageen
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTraffic volumeTransport engineeringBusinessGeographyEngineering

Abstract

fetched live from OpenAlex

ABSTRACTThe trade and service sector is one of the most important factors, and this needs to be considered because the trade and service sector plays a very important role in regional economic development. Transportation facilities and infrastructure are mutually supportive factors and both in the transportation system are the main requirements. Transportation facilities related to traffic are terminals, traffic signs and markings, pedestrian facilities, parking facilities and places to stop. The purpose of this study was to identify the characteristics and number of trade and service buildings, modes of transportation and parking lots and to identify traffic volume and LOS in the Gajah Mada Road Corridor, Pontianak City. This research method is a quantitative method with descriptive analysis techniques, traffic counting and volume capacity ratio. Trade on Gajah Mada Road is still traded in retail with shops as the most common form of trade and primary commodities, the level of tangibles dominates services, there are three categories of transportation modes with parking space determined by the building area. The results of VCR and LOS varied with values of 0.1-0.3 and LOS A-B ranges on the three days and times.Keywords: traffic, trade and services, transportation ABSTRAKSektor perdagangan dan jasa merupakan salah satu faktor terpenting, dan hal ini perlu diperhatikan karena sektor perdagangan dan jasa sangat berperan dalam pembangunan ekonomi daerah. Sarana dan prasaran transportasi merupakan faktor yang berhubungan dan syarat utama dalam sistem transportasi. Sarana transportasi dirancang untuk mendukung masyarakat dengan tujuan mobilitas. Adapun fasilitas lalu lintas seperti rambu dan marka lalu lintas, fasilitas parkir dan tempat parkir. Tujuan dari penelitian ini adalah untuk mengidentifikasi karakteristik dan jumlah bangunan perdagangan dan jasa, moda transportasi serta lahan parkir dan mengidentifkasi volume lalu lintas dan LOS di Koridor Jalan Gajah Mada Kota Pontianak. Metode penelitian ini adalah metode kuantitatif dengan teknik analisis deskriptif, traffic counting dan rasio kapasitas volume. Perdagangan di Jalan Gajah Mada masih diperjual belikan secara eceran dengan pertokoan sebagai bentuk perdagangan yang banyak dijumpai serta komoditas primer, kategori tingkat keberwujudan mendominasi jasa, terdapat tiga kategori moda transportasi dengan lahan parkir yang ditentukan oleh luas bangunan. Hasil VCR dan LOS yang bervariasi dengan nilai 0,1-0,3 dan rentang LOS A-B pada ketiga hari dan waktu.Kata kunci: lalu lintas, perdagangan dan jasa, transportasi

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.001

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 head0.032
GPT teacher head0.217
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2021
Admission routes1
Has abstractyes

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