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Record W4403239972 · doi:10.29313/bcsurp.v4i3.14257

Kesiapan Masyarakat Kecamatan Cipeundeuy, Kabupaten Subang terhadap Pengembangan Kawasan Industri Subang Smartpolitan

2024· article· en· W4403239972 on OpenAlexaff
Fadhila Khalida Burhanudin, Saraswati

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Abstract. The development of Subang Smartpolitan Industrial Estate is an important part of industrial estate development in Subang Regency, located in the strategic area of West Java Province as know as Rebana with an area of ±2,717 hectares. With development already underway, the local government needs to ensure the readiness of the community in facing the Subang Smartpolitan Industrial Estate. Leaders have an important role in human resource development to ensure appropriate development steps can be taken. This study aims to identify the level of readiness of the Cipeundeuy Sub-district community in facing the development of the Subang Smartpolitan Industrial Estate. The research method used was mixed method, with data collected through structured interviews with 25 key respondents from village community organizations in Cipeundeuy Sub-district. The community readiness assessment was conducted using the dimensions of the Community Readiness Model, which includes community knowledge of efforts, knowledge related to issues, community climate, leadership, and resources related to efforts. The results of the analysis show that community readiness in Cipeundeuy Sub-district is at the Preplanning Stage level, the 4th level out of 9 levels. At this level, most communities have at least heard about the program or activity but have very limited knowledge, some communities have limited knowledge about the issue, some community attitudes towards the issue are still mediocre, even though they are aware of the impact, leaders recognize that the issue is a community concern and have begun to take steps to address it, and resources used for efforts to address the issue are still limited. Abstrak. Pembangunan Kawasan Industri Subang Smartpolitan merupakan bagian penting dari pengembangan kawasan industri di Kabupaten Subang, terletak di Kawasan Strategis Provinsi (KSP) Jawa Barat, yang dikenal dengan Kawasan Rebana dengan luas ± 2.717 hektar. Dengan pembangunan yang sudah berjalan, pemerintah daerah perlu memastikan kesiapan masyarakat dalam menghadapi Kawasan Industri Subang Smartpolitan. Pemimpin memiliki peran penting dalam pengembangan sumber daya manusia untuk memastikan langkah-langkah pengembangan yang tepat dapat diambil. Penelitian ini bertujuan untuk mengidentifikasi tingkat kesiapan masyarakat Kecamatan Cipeundeuy dalam menghadapi pengembangan Kawasan Industri Subang Smartpolitan. Metode penelitian yang digunakan adalah metode campuran (mix method), dengan data dikumpulkan melalui wawancara terstruktur dengan 25 responden kunci dari lembaga kemasyarakatan desa di Kecamatan Cipeundeuy. Penilaian kesiapan masyarakat dilakukan menggunakan dimensi Community Readiness Model, yang mencakup pengetahuan masyarakat terhadap upaya, pengetahuan terkait isu, iklim masyarakat, kepemimpinan, dan sumber daya terkait upaya. Hasil analisis menunjukkan bahwa kesiapan masyarakat di Kecamatan Cipeundeuy berada pada tingkat Preplanning Stage atau pra perencanaan, tingkat ke-4 dari 9 tingkat yang ada. Pada tingkat ini Sebagian besar masyarakat setidaknya pernah mendengar tentang program atau kegiatan tetapi memiliki pengatahuan yang sangat terbatas, sebagian masyarakat memiki pengetahuan yang terbatas mengenai isu, sebagian sikap masyarakat terhadap isu masih biasa saja, meskipun mereka sudah menyadari dampaknya, para pemimpin mengakui bahwa masalah ini menjadi keprihatinan masyarakat dan telah mulai mengambil langkah-langkah untuk mengatasinya, dan sumber daya yang digunakan untuk upaya dalam mengatasi masalah masih terbatas.

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), 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 score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.244
Teacher spread0.206 · 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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