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Record W4395093041 · doi:10.29313/bcsurp.v4i1.12270

Identifikasi Permukiman Kumuh di Kampung Buton, Kota Waisai, Kabupaten Raja Ampat

2024· article· en· W4395093041 on OpenAlexaff
Nabilah Amaliah Syahdan, Ira Safitri Darwin

Bibliographic record

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

Abstract

fetched live from OpenAlex

Abstract. Slums have a broad meaning not just a place to live, but a complex unit that involves various elements. These elements do not only show biological activities, but show social, economic, cultural activities and so on. Slums in Indonesia were recorded in 2022 according to the Ministry of PUPR identified slum areas in Indonesia amounted to 4,170 Ha. This area is planned to be organized in 2024. Slums often occur in cities in Indonesia, one of which is in the city of Waisai. Waisai City has several slum areas, namely in Warmasen Village with 34 Ha and Sapordanco Village with 20 Ha, in Sapordanco Village there is RT 1 Kimindores Area and RT 2 Buton Village Area. Buton Village is located on the coast of Waisai City, this area has an area of 2.43 Ha and is prone to tsunami and flood disasters. Based on this phenomenon, the problems in this study are formulated as follows: (1) The level of slums in Buton Village has not been identified, (2) The efforts to handle slums in Buton Village have not been identified. The data collection techniques used in this research are questionnaires, interviews, observations, and literature studies. Researchers used scoring analysis based on the Minister of Public Works and Public Works Regulation No.14 of 2018. The results of this study are: Kampung Buton has a C1 classification, namely a mild slum location, with other considerations being high, and legal land status. Based on the Regulation of the Minister of Public Works and Public Works No.14 of 2018, the pattern of handling in the classification of mild slums and legal land status is the pattern of restoration handling. Abstrak. Permukiman kumuh mempunyai arti luas bukan hanya tempat tinggal, melainkan satu kesatuan kompleks yang melibatkan berbagai unsur. Unsur-unsur itu tidak hanya menunjukan kegiatan biologis saja, tetapi menunjukan kegiatan sosial, ekonomi, budaya dan sebagainya. Permukiman kumuh sering terjadi pada kota-kota di Indonesia, salah satunya di Kota Waisai. Kota Waisai memiliki beberapa kawasan kumuh yaitu pada Kelurahan Warmasen dengan 34 Ha dan Kelurahan Sapordanco 20 Ha, pada Kelurahan Sapordanco terdapat pada RT 1 Kawasan Kimindores dan RT 2 Kawasan Kampung Buton. Kampung Buton terletak pada pesisir pantai Kota Waisai, kawasan ini memiiki luas wilayah 2,43 Ha dan rawan akan bencana tsunami serta banjir. Berdasarkan fenomena tersebut, maka permasalahan dalam penelitian ini dirumuskan sebagai berikut: (1) Belum teridentifikasi tingkat kekumuhan di Kampung Buton, (2) Belum teridentifikasi upaya penanganan permukiman kumuh di kampung buton. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah kuesioner, wawancara, observasi, dan studi literatur. Peneliti menggunakan analisis skoring berdasarkan Peraturan Menteri Pekerjaan Umum dan Pekerjaan Rakyat No.14 tahun 2018. Hasil dari penelitian ini adalah: Kampung Buton memiiki klasifikasi C1 yaitu lokasi kumuh ringan, dengan pertimbangan lain tinggi, dan status tanah legal. Berdasarkan klasifikasi tersebut maka dapat ditentukan skala prioritas penanganan, Kampung Buton termasuk dalam skala prioritas 2. Berdasarkan Peraturan Menteri Pekerjaan Umum dan Pekerjaan Rakyat No.14 tahun 2018 pola penanganan pada klasifikasi kekumuhan ringan serta status lahan legal yaitu pola penanganan pemugaran.

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 score0.801
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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 head0.073
GPT teacher head0.260
Teacher spread0.187 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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