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Record W2909989803 · doi:10.30659/jpsa.v14i2.3871

EVALUASI KONSEP GREEN OPEN SPACE TERHADAP KUALITAS TAMAN PADA PROGRAM PENGEMBANGAN KOTA HIJAU (P2KH) KECAMATAN KENDAL (STUDI KASUS: TAMAN STADION UTAMA, LANGENHARJO, GAJAH MADA)

2019· article· en· W2909989803 on OpenAlex
Majdina Astri Graharistiara, Hasti Widyasamratri

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

VenueJurnal Planologi · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCultural and Artistic Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSpace (punctuation)Government (linguistics)Quality (philosophy)BusinessEnvironmental planningArchitectural engineeringGeographyEngineeringComputer science

Abstract

fetched live from OpenAlex

Green Open Space is an urban expanse covered by some of the trees as a shade area of the city and as the fulfillment of the needs public spaces for the community in activities and social. Efforts continue to be undertaken by the Green Open Space embodiment of Government, one that is by pioneering the implementation of ‘Program Pengembangan Kota Hijau’(P2KH) in improving the quantity and quality of Green Open Space in the area of the county or city. One form of Green Open Space i.e. the garden city that serves to improve the quality of urban and support the needs of the community in getting space to relax and leisure. The condition of children in district Kendal based on information from the community a lot of damage to either the environment or the facilities therein. This study aims to evaluate the application of Green Open Space on quality Grounds in the ‘Program Pengembangan Kota Hijau’(P2KH) sub district of Kendal which consists of the Stadion Utama, Langenharjo and Gajah Mada Parks. The method used was qualitative with deductive approach to rationalistic Unitarians. The analysis used a descriptive analysis i.e. qualitative and verification. Results from the study found that: 1) implementation evaluation results of Green Open Space in the gardens of the town Kendal not optimal, particularly on the Stadion Utama and Langenharjo Parks is still passive because it has not been supported with supporting facilities ; 2) evaluation results applying the Green Community is not optimal because there hasn't been an active ongoing activities so that it can not realize the active role of the community as a community in realizing the green city in district of Kendal; 3) factors that influence the application of optimal yet Green Open Space that is the location of the parks are not on the main road, the spread of vegetation are not optimal in improving microclimate because the settings are less noticed aspects of the function and benefits, passive Parks conditions due to lack of support facilities and the lack of appeal on the parks because the Setup and the pattern of plants that don't meet aesthetic; 4) factors that influence has not been optimal application of the Green Community that is constrained funds and lack of public awareness in maintaining and safeguarding the environment.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.060
GPT teacher head0.359
Teacher spread0.299 · 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