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Record W4388907493 · doi:10.36040/pawon.v7i2.6706

IMPLEMENTASI RUANG MULTI FUNGSI PADA LAHAN TERBATAS GEDUNG SERBAGUNA RW. XII, KELURAHAN MERJOSARI, KOTA MALANG

2023· article· id· W4388907493 on OpenAlexaff
Bayu Teguh Ujianto, Amar Rizqy Afdholy, Jarot Wahyono

Bibliographic record

VenuePawon Jurnal Arsitektur · 2023
Typearticle
Languageid
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

Wilayah RW. XII Kelurahan Merjosari Kota Malang berada pada daerah yang padat rumah tinggal, rumah kos, warung serta memiliki populasi penduduk yang semakin meluas seiring dengan tuntutan kebutuhan layanan publik yang lebih baik. Permasalahan utama yang muncul adalah terbatasnya lahan bagi warga menggelar acara hajatan pribadi maupun kegiatan bersama yang akhirnya memanfaatkan jalan umum lingkungan, serta ketiadaan fasilitas PAUD yang sangat dibutuhkan masyarakat. Menanggapi hal tersebut, upaya yang dilakukan masyarakat adalah melalui usulan perancangan Gedung Serbaguna. Keterbatasan dalam hal pendanaan, luasan lahan dan tuntutan kebutuhan ruangan yang cukup banyak menuntut penerapan desain ruang multi fungsi pada proses perancangannya. Gedung serbaguna merupakan bangunan yang bersifat penunjang dimana tidak beroperasional rutin setiap hari, dengan desain ruangan yang bersifat multi fungsi dapat dilakukan optimasi kebutuhan jenis ruangan dalam keterbatasan lahan yang ada. Ruangan-ruangan dengan luasan dan sifat yang hampir sama dapat dikelompokkan dalam satu ruangan, dimana operasionalnya dapat dilakukan secara bergantian. Tentunya hal tersebut perlu diakomodasi dengan rancangan arsitektural yang baik dan fungsional, serta mempertimbangkan efisiensi pemilihan material dan struktur bangunan.

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, 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.054
GPT teacher head0.270
Teacher spread0.217 · 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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