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KEUNGGULAN INOVATIF PEMBANGUNAN JALAN TOL LAYANG PETTARANI UNTUK MENDUKUNG MODERNISASI JARINGAN JALAN DI METROPOLITAN MAMMINASATA

2022· article· en· W4293758631 on OpenAlexaff
Hermanto Dardak

Bibliographic record

VenueJurnal HPJI · 2022
Typearticle
Languageen
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMetropolitan areaGeographyTollTransport engineeringCartographyEngineeringArchaeology

Abstract

fetched live from OpenAlex

Abstract The Mamminasata Metropolitan Area, which includes Makassar City, Takalar Regency, part of Gowa Regency, and part of Maros Regency, is the largest metropolitan area in Eastern Indonesia. Traffic congestion is a major challenge faced by Makassar City, due to the mixing of urban traffic flows with regional traffic flows. Modernization of the road network is carried out by building toll roads, which connect airports, ports, industrial areas, and access to the city center, one of which is the Pettarani Flyover. This flyover has several innovative advantages, namely the use of urban flyover construction with segmental box girders, the use of the flying pier head construction method using the Flying Pier Head Formwork System, the use of lead rubber bearings, the use of the Structural Health Monitoring System, the use of a traffic information system. which is integrated with other sections, and 3D modeling with the Terrestrial Laser Scanner Method that supports operation and maintenance. The Pettarani Flyover supports economic growth and regional development, whose construction and operation uses the latest technology and supports the environment and community in a susta-inable manner. Keywords: traffic jam; toll roads; metropolitan; road network; innovative advantage Abstrak Kawasan Metropolitan Mamminasata, yang mencakup Kota Makassar, Kabupaten Takalar, sebagian Kabupaten Gowa, dan sebagian wilayah Kabupaten Maros, merupakan metropolitan terbesar di Wilayah Timur Indonesia. Kemacetan lalu lintas merupakan suatu tantangan utama yang dihadapi oleh Kota Makassar, karena berbaurnya arus lalu lintas perkotaan dengan arus lalu lintas regional. Modernisasi jaringan jalan dilakukan dengan membangun jalan tol, yang menghubungkan bandara, pelabuhan, kawasan industri, dan akses ke pusat kota, yang salah satunya adalah Jalan Layang Pettarani. Jalan layang ini memiliki beberapa keunggulan inovatif, yaitu penggunaan konstruksi struktur layang perkotaan dengan segmental box girder, penggunaan metode konstruksi kepala tiang jalan layang dengan Metode Flying Pier Head Formwork System, penggunaan lead rubber bearing, penggunaan Structural Health Monitoring System, penggunaan sistem informasi lalu lintas yang terintegrasi dengan seksi-seksi lainnya, dan permodelan 3D dengan Metode Terrestrial Laser Scanner yang mendukung operasi dan pemeliharaan. Jalan Layang Pettarani mendukung pertumbuhan ekonomi dan pengembangan wilayah, yang pembangunan dan pengoperasiannya menggunakan teknologi terkini serta men-dukung lingkungan dan komunitas secara berkelanjutan. Kata-kata kunci: kemacetan lalu lintas; jalan tol; metropolitan; jaringan jalan; keunggulan inovatif

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.003

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 head0.195
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
Published2022
Admission routes1
Has abstractyes

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