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Record W4385079324 · doi:10.35194/momen.v6i1.3144

Studi Lokasi Terminal Penumpang Tipe C Kecamatan Pakuan Ratu Kabupaten Way Kanan Provinsi Lampung

2023· article· en· W4385079324 on OpenAlexaff
Rachmatia Agung Pratama, Dwi Herianto, Siti Anugrah Mulya Putri Ofrial, Rahayu Sulistyorini

Bibliographic record

VenueJURNAL MOMEN TEKNIK SIPIL · 2023
Typearticle
Languageen
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsProcurementPublic transportBusinessTransport engineeringPopulationMarketingEngineering

Abstract

fetched live from OpenAlex

Indonesia is currently experiencing a significant increase in population, this also has an impact on the need for transportation which is also increasing. The increased need for transportation is also felt in Way Kanan district, Lampung Province, but this need is not accompanied by the existence of public transportation facilities and infrastructure. Planning for the procurement of terminals and public transportation is the first step that can be taken in meeting these needs. In planning the procurement of terminals and public transportation, it is necessary to comply with location and demand eligibility standards. However, in reality there are many cases where the feasibility of the location has been fulfilled but the feasibility of the demand has not been fulfilled. The standard used in this study is the Technical Guidelines for Organizing Public Passenger Transportation in Urban Areas on Fixed and Regular Routes by the Department of Transportation in 2002. The first step taken was a location survey and data collection needed in the analysis process. Then proceed with comparing the feasibility of the research location with the standards used and calculating the feasibility of the demand for public transportation procurement. it was found that the number of potential residents to travel was 7,724 people while for private vehicle services of 12,386 units, it can be concluded that the population in the study area has been served entirely by private vehicles and does not yet need public transportation. Indonesia saat ini mengalami peningkatan penduduk yang cukup besar, hal ini juga berdampak pada kebutuhan akan transportasi yang juga meningkat. Peningkatan kebutuhan akan transportasi ini juga dirasakan di kabupaten Way Kanan, Provinsi Lampung akan tetapi kebutuhan ini tidak diiringi dengan adanya sarana dan prasarana transportasi umum. Perencanaan pengadaan terminal dan angkutan umum adalah langkah awal yang dapat diambil dalam memenuhi kebutuhan tersebut. pada perencanaan pengadaan terminal dan angkutan umum diperlukan pemenuhan standar kelayakan lokasi dan demand. Namun pada kenyataannya banyak didapatkan kasus kelayakan lokasi sudah memenuhi namun untuk kelayakan demand belum memenuhi. Standar yang dipakai dalam penelitian ini adalah Pedoman Teknis Penyelenggraan Angkutan Penumpang Umum di Wilayah Perkotaan dalam Trayek Tetap dan Teratur oleh Departemen Perhubungan Tahun 2002 langkah pertama yang dilakukan adalah survey lokasi dan pengumpulan data yang diperlukan dalam proses analisis. Lalu dilanjutkan dengan membandingkan kelayakan lokasi penelitian dengan standar yang dipakai dan menghitung kelayakan demand pengadaan angkutan umum.Dari perbandingan dan perhitungan kelayakan didapatkan hasil untuk kelayakan lokasi sudah memenuhi standar yang ditentukan tetapi untuk kelayakan demand belum memenuhi untuk pengadaan angkutan umum, dikarenakan dari hasil analisis data didapatkan jumlah penduduk potensial melakukan perjalanan sebesar 7.724 jiwa sedangkan untuk pelayanan kendaraan pribadi sebesar 12.386 unit, dapat ditarik kesimpulan bahwa penduduk pada daerah penelitian sudah terlayani seluruhnya dengan kendaraan pribadi dan belum memerlukan angkutan umum.

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)0.000
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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.012
GPT teacher head0.209
Teacher spread0.197 · 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
Published2023
Admission routes1
Has abstractyes

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