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Record W4409917965 · doi:10.35965/jups.v4i1.474

Analisis Ketersediaan Ruang Terbuka Hijau Menggunakan Pendekatan Indeks Hijau-Biru Indonesia Di Kelurahan Tamalanrea

2023· article· en· W4409917965 on OpenAlex
Monica Tombe, Muhammad Fuad Aziz, Tri Budiharto, Muh. Khalil Jibran

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Urban Planning Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMathematics

Abstract

fetched live from OpenAlex

Abstract. The purpose of this study is to determine the availability of green open space in Tamalanrea Village and how the strategy to maximize green open space in Tamalanrea Village and can be an input or reference for the government as a policy determinant in development, private parties, social institutions, or communities that act as development implementation and for planners in terms of increasing development, especially in terms of providing green open space. This research is qualitative research with data collection techniques using observation, interview, documentation and literature study methods. The data obtained were then analyzed using spatial approach, qualitative descriptive analysis, and Indonesian Green-Blue Index (IHBI) approach. The conclusion of this study, is that the availability of green open space in Tamalanrea Village based on MINISTER OF ATR / BPN Number 14 of 2022 concerning the provision and utilization of green open space consisting of allotment areas or green open space zones, namely RT parks and green lanes, allotment areas or other zones, namely agricultural areas, green open spaces on plots, namely parcels in residential zones, parcels in office zones, and home yards, as well as blue open space areas, namely lakes whose availability needs to be maximized ecologically and socially based on MINISTER OF ATR / BPN Number 14 of 2022. Abstrak. Tujuan penelitian ini adalah untuk mengetahui ketersediaan ruang terbuka hijau di Kelurahan Tamalanrea dan bagaimana strategi memaksimalan ruang terbuka hijau di Kelurahan Tamalanrea serta dapat menjadi bahan masukan atau acuan bagi pemerintah sebagai penentu kebijakan dalam pembangunan, pihak swasta, lemabaga sosial, atau masyarakat yang bertindak sebagai pelaksanaan pembangunan dan bagi perencana dalam hal peningkatan pembangunan terutama dalam hal penyediaan ruang terbuka hijau. Penelitian ini adalah penelitian kualitatif dengan teknik pengumpulan data menggunakan metode observasi, wawancara, dokumentasi dan studi literatur. Data yang diperoleh selanjutnya dianalisis dengan pendekatan spasial, analisis deskriptif kualitatif, dan pendekatan Indeks Hijau-Biru Indonesia (IHBI). Kesimpulan dari penelitian ini, adalah bahwa ketersediaan ruang terbuka hijau di Kelurahan Tamalanrea berdasarkan PERMEN ATR/BPN Nomor 14 Tahun 2022 tentang penyediaan dan pemanfaatan ruang terbuka hijau yang terdiri dari kawasan peruntukan atau zona ruang terbuka hijau yaitu taman RT dan jalur hijau, kawasan peruntukan atau zona lainnya yaitu kawasan pertanian, ruang terbuka hijau pada kavling yaitu persil pada zona perumahan, persil pada zona perkantoran, dan pekarangan rumah, serta kawasan ruang terbuka biru yaitu danau yang ketersediaannya perlu dimaksimalkan secara ekologis dan sosial berdasarkan PERMEN ATR/BPN Nomor 14 Tahun 2022.

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.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.090
GPT teacher head0.302
Teacher spread0.211 · 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