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Record W4403239981 · doi:10.29313/bcsurp.v4i3.14356

Strategi Penanganan Permukiman Kumuh Kelurahan Pegangsaan Dua Kota Jakarta Utara

2024· article· en· W4403239981 on OpenAlexaff
Raden Diva Erlanda, Weishaguna

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMathematics

Abstract

fetched live from OpenAlex

Abstract. Slum settlements in RW 03, Pegangsaan Dua Village, occur due to the inability to provide adequate housing, so that people build urban villages irregularly, causing environmental problems such as uninhabitable houses, limited environmental facilities, roads, drinking water, water pipes and other infrastructure. This research aims to determine the level of slums and formulate strategies for dealing with slums in RW 03, Pegangsaan Dua Village. Method The approach to this analysis is a mix methods method with data collection techniques that will be used through two sources, namely primary data and secondary data. The analytical method used in this study is scoring analysis and qualitative descriptive analysis. Based on the results of the slum level analysis, a total slum value of 60 was obtained, which classifies the slum level as Heavy Slum with an average sectoral slum of 71.45%. From the aspect of land legality, having the status of land as illegal, and from the aspect of other considerations, obtained a score of 11 which indicates the status of other considerations is high. The slum area in RW 03 is categorized as A2 so that the priority scale for handling it is at Priority 2. Therefore, the appropriate handling strategy is resettlement. The strategy for handling slum areas in RW 03, Pegangsaan Dua Subdistrict involves various aspects, focusing on re-settlement areas through improving infrastructure and public facilities. Physical efforts include building a waste processing system, dredging and providing drainage, as well as improving environmental roads. Collaboration with the government and the private sector through CSR programs is expected to be more effective in dealing with social problems and disasters, so that the environment becomes safer and more livable. Abstrak. Permukiman kumuh di RW 03 Kelurahan Pegangsaan Dua terjadi akibat ketidakmampuan penyediaan hunian yang layak, sehingga masyarakat membangun kampung kota secara tidak teratur menyebabkan masalah lingkungan seperti rumah tidak layak huni, terbatasnya fasilitas lingkungan, jalan, air minum, saluran air, dan prasarana lainnya. Penelitian ini bertujuan untuk mengetahui tingkat kekumuhan dan merumuskan strategi penanganan permukiman kumuh di RW 03 Kelurahan Pegangsaan Dua. Metode Pendekatan pada analisis ini berupa metode mix methods dengan teknik pengumpulan data yang akan digunakan melalui dua sumber yaitu data primer dan data sekunder. Metode analisis yang digunakan pada studi ini adalah analisis skoring dan analisis deskriftif kualitatif. Berdasarkan hasil analisis tingkat kekumuhan didapatkan total nilai kekumuhan sebesar 60, yang mengklasifikasikan tingkat kekumuhan sebagai Kumuh Berat dengan rata-rata kekumuhan sektoral sebesar 71,45%. Dari aspek legalitas tanah, memiliki hasil status tanah tidak legal, dan dari aspek pertimbangan lain, memperoleh nilai sebesar 11 yang menunjukkan status pertimbangan lain tinggi. Kawasan permukiman kumuh di RW 03 dikategorikan sebagai A2 sehingga skala prioritas penanganannya berada pada Prioritas Ke-2. Oleh karena itu, strategi penanganan yang sesuai adalah permukiman kembali. Strategi penanganan kawasan permukiman kumuh di RW 03 Kelurahan Pegangsaan Dua melibatkan berbagai aspek, fokus pada permukiman kembali wilayah melalui peningkatan infrastruktur dan fasilitas umum. Upaya fisik mencakup pembangunan sistem pengolahan limbah, pengerukan dan pengadaan drainase, serta perbaikan jalan lingkungan. Kolaborasi dengan pemerintah dan pihak swasta melalui program CSR diharapkan lebih efektif menangani masalah sosial dan bencana, sehingga lingkungan menjadi lebih aman dan layak huni.

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), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.077
GPT teacher head0.258
Teacher spread0.180 · 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
Published2024
Admission routes1
Has abstractyes

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