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Record W4387160339 · doi:10.32315/jlbi.v12i3.62

Penataan Fasilitas Jalur Pedestrian Sebagai Jalur Moda Pedestrian Lingkar Komplek Stadion Pakansari Cibinong, Kabupaten Bogor

2023· article· id· W4387160339 on OpenAlexaff
Sitti Wardiningsih, Daniel Bagus Sarwono, Moh. Sanjiva Refi Hasibuan

Bibliographic record

VenueJurnal Lingkungan Binaan Indonesia · 2023
Typearticle
Languageid
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Pakansari Cibinong di Kabupaten Bogor merupakan stadion multifungsi yang memiliki fasilitas lintasan atletik di dalamnya dan fasilitas olahraga lain di dalam kompleknya. Pada bagian luar, komplek stadion dikelilingi oleh jalur kendaraan 2 arah dilengkapi dengan jalur pedestrian pada sisi kiri dan kanannya dengan kondisi masih kurang fungsional dan estetis. Permasalahan yang terjadi adalah keberadaan para pedagang kaki lima pada waktu-waktu tertentu ikut berkontribusi mengurangi nilai estetika kawasan selain penataan vegetasi yang buruk. Tujuan dari kegiatan perencanaan ini untuk meningkatkan kualitas lanskap jalur pedestrian agar lebih fungsional dan estetis sehingga mampu mendukung kebutuhan pengguna serta sekaligus memberikan rasa kenyamanan dan keamanan. Adapun metode pengumpulan data yang digunakan dalam perencanaan ini yaitu metode diskriptip kuantitatif observasi, identifikasi, wawancara setra dan metode perencanaan oleh Gold mengenai studi behaviour setting. Dari hasil perencanaan ini diperoleh konsep penataan jalur pedestrian dengan pembagian ruang bagi aktivitas serta pergerakan pejalan kaki, pesepeda, dan jalur hijau yang lebih proporsional. Selain itu juga didapatkan rencana penataan ruang dan fasilitas sesuai agar tetap berkelanjutan.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.050
GPT teacher head0.258
Teacher spread0.208 · 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 designNot applicable
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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