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Record W4386541883 · doi:10.29313/bcsurp.v3i2.9040

Evaluasi Kualitas Alun-alun Purwokerto sebagai Ruang Terbuka Publik

2023· article· en· W4386541883 on OpenAlexaff
Adlya Azuura, Hani Burhanudin, Ernawati Hendrakusumah

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsConformitySquare (algebra)Quality (philosophy)Space (punctuation)Descriptive statisticsPublic spaceValue (mathematics)EnthusiasmMeaning (existential)BusinessComputer scienceStatisticsPsychologyMathematicsEngineeringArchitectural engineeringSocial psychology

Abstract

fetched live from OpenAlex

Abstract. The development of an urban area often affects the quality of urban public open space. As happened in Purwokerto Square. The high public enthusiasm for Purwokerto Square was a supporting factor for conducting this study. The community's need for public open space needs to be supported by adequate quality public open space. Public open space should be able to provide a sense of comfort and safety to its users and be able to become a place for users to carry out activities. The problems that occur in Purwokerto Square have physical problems related to the many facilities that do not meet user needs. So the purpose of this study is to determine the quality of the square as a public open space based on the criteria of public open space. The types of data used in this research are secondary data and primary data. This study uses a descriptive quantitative approach by calculating the Importance Performance Analysis method from the results of a questionnaire for 100 users of Purwokerto Square. The results of this study can be concluded that overall Purwokerto Square has moderate quality with a suitability value of 79.9%. The aspect of rights is the aspect that has the highest conformity value of 88.37% followed by the aspect of meaning with an average conformity score of 86.54% and the conformity level with the smallest score, namely the aspect of needs with a score of 77.96%. The higher the suitability value, the higher the level of user satisfaction.
 Abstrak. Berkembangnya suatu perkotaan sering kali mempengaruhi kualitas ruang terbuka publik diperkotaan. Seperti yang terjadi pada Alun-alun Purwokerto. Tingginya antusiasme masyarakat terhadap Alun-alun Purwokerto menjadi faktor pendukung dilakukannya kajian ini. Kebutuhan masyarakat akan ruang terbuka publik perlu didukung dengan kualitas ruang terbuka publik yang memadai. Sudah sepatutnya ruang terbuka publik dapat memberikan rasa nyaman dan aman kepada penggunanya serta mampu menjadi wadah bagi penggunanya dalam melakukan kegiatan. Permasalahan yang terjadi pada Alun-alun Purwokerto memiliki permasalahan secara fisik terkait dengan banyaknya fasilitas yang belum memenuhi kebutuhan pengguna. Dengan demikian, tujuan dari penelitian ini adalah untuk mengetahui kualitas alun-alun sebagai ruang terbuka publik berdasarkan kriteria ruang terbuka publik. Jenis data yang digunakan dalam penelitian ini adalah data sekunder dan data primer. Studi ini menggunakan metode pendekatan kuantitatif deskriptif dengan cara melakukan perhitungan dngan metode Importance Performance Analysis dari hasil kuesioner 100 pengguna Alun-alun Purwokerto. Hasil dari penelitian ini dapat disimpulkan bahwa secara keseluruhan Alun-alun Purwokerto memiliki kualitas sedang dengan nilai kesesuaian mencapai 79,9%. Aspek hak menjadi aspek yang memiliki nilai kesesuaian tertinggi yaitu sebesar 88,37% diikuti oleh aspek makna dengan skor rata-rata kesesuaian sebesar 86,54% dan tingkat kesesuaian dengan skor terkecil yaitu aspek kebutuhan dengan skor 77,96%. Semakin tinggi nilai kesesuaian maka semakin tinggi pula tingkat kepuasan pengguna.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.140
GPT teacher head0.288
Teacher spread0.148 · 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 teacher head, not a consensus.

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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