Strategi Penanganan Kawasan Permukiman Kumuh Pesisir Pekalongan melalui Mitigasi Bencana dan Pembangunan Berkelanjutan
Bibliographic record
Abstract
ENGLISHTidal flooding is a climate change impact in the northern region of Java, including Pekalongan Regency. Tidal flooding in Pekalongan Regency takes place every year and it is difficult to handle because simultaneously with land subsidence and rising sea levels due to global warming. Tidal flooding is related to the level of slum settlements, especially in Wonokerto District. Wonokerto residents who are submerged by tidal floods tend to stay and adapt to existing environmental conditions rather than migrate to other locations. This study analyzed the strategy for handling slum settlements in coastal communities of Pekalongan Regency that have adapted to tidal floods. This study used mixed methods between qualitative and quantitative descriptive methods through SWOT and a strategic planning approach that processes the results of field observations, citizen interviews and literature studies of regional policies. This study integrates disaster mitigation and sustainable development aspects to build community resilience and produces 14 proposed strategies that must involve all relevant stakeholders, namely the Government; Wonokerto Community; and active Institutions/Organizations in the environmental, social and health fields to support the achievement of program goals and benefits. INDONESIABanjir rob merupakan dampak perubahan iklim di wilayah utara Jawa, salah satunya Kabupaten Pekalongan. Banjir rob di Kabupaten Pekalongan terus terjadi setiap tahunnya dan sulit ditangani karena berjalan bersamaan dengan penurunan muka tanah serta peningkatan muka air laut akibat pemanasan global. Banjir rob berdampingan erat dengan tingkat kekumuhan permukiman terutama di Kecamatan Wonokerto. Masyarakat Wonokerto yang terendam banjir rob cenderung tetap tinggal dan beradaptasi dengan kondisi lingkungan yang ada dibanding bermigrasi ke lokasi lain. Penelitian ini bertujuan menganalisis strategi penanganan permukiman kumuh pada masyarakat pesisir Kabupaten Pekalongan yang telah beradaptasi dengan banjir rob. Penelitian ini menggunakan metode campuran antara deskriptif kualitatif dan kuantitatif melalui SWOT dan pendekatan strategic planning yang mengolah hasil observasi lapangan, wawancara warga dan studi pustaka kebijakan daerah. Penelitian ini mengintegrasikan aspek mitigasi bencana dan pembangunan berkelanjutan guna membangun ketahanan komunitas dan menghasilkan 14 usulan strategi yang harus melibatkan seluruh stakeholder terkait yaitu Pemerintah; Masyarakat Wonokerto; serta Lembaga/Organisasi aktif di bidang lingkungan, sosial maupun kesehatan guna mendukung ketercapaian tujuan dan manfaat program.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".