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Record W7151798734 · doi:10.33579/rkr.v5i2.3635

Land Use Change on the Golden Triangle Area, Kuningan, South Jakarta

2023· article· W7151798734 on OpenAlexaff
Annisa Fathaniah Latala, Rahel Situmorang, Herika Muhammad Taki

Bibliographic record

VenueREKA RUANG · 2023
Typearticle
Language
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsLand useMetropolitan areaArchitectural design

Abstract

fetched live from OpenAlex

Jakarta merupakan kota metropolitan dengan gedung-gedung tinggi (apartemen, kosan, pusat perbelanjaan – fasilitas perdagangan), khususnya didalam kawasan Segitiga Emas Kuningan dikelilingi oleh gedung perkantoran, fasilitas perdagangan dan jasa, dan mixed-use development yang dikuasai oleh pembangunan dengan intensitas bangunan melibihi 100.000 m2. Tujuan pada penelitian ini adalah mengidentifikasi perubahan pemanfaatan lahan pada kawasan RW 07, Karet Kuningan, Jakarta Selatan mulai tahun 2002 sampai 2021. Metode yang digunakan adalah kuantitatif deskriptif, sedangkan pengumpulan data menggunakan metode wawancara, observasi lapangan, dokumentasi, dan data sekunder dari instansi pemerintah seperti Dinas Cipta Karya, Tata Ruang, dan Pertahanan DKI Jakarta. Hasil penelitian ini menunjukan bahwa perubahan yang terjadi pada kawasan studi adalah: penggunaan lahan yang tidak sesuai, perubahan fungsi bangunan, serta ketidaksesuaian KLB, KDB, dan KDH pada lokasi studi. Studi ini diharapkan dapat menjadi masukkan kepada pemerintah daerah khususnya DKI Jakarta untuk evaluasi kembali peraturan yang sudah ada dengan kondisi lapangan serta untuk meningkatkan kembali revisi RDTR 2030 khususnya pada wilayah DKI Jakarta

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.258
GPT teacher head0.256
Teacher spread0.002 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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