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Record W7134936936 · doi:10.29313/bcsurp.v5i2.21623

Kesiapan Kampung Nelayan Batukaras sebagai Tempat Wisata di Kabupaten Pangandaran

2025· article· W7134936936 on OpenAlexaff
Arni Mahardhika, Hilwati Hindersah, Saraswati

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2025
Typearticle
Language
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsFishingTourismFishing villageGovernment (linguistics)Fish <Actinopterygii>Fishing industry

Abstract

fetched live from OpenAlex

Abstract. Pangandaran is one of the areas designated as a National Strategic Tourism Area (KSPN) in West Java Province based on Government Regulation No. 50 of 2011. As a coastal area, Pangandaran has unique natural and cultural potential, one of which is the fishing village located in Batukaras Tourism Village. However, the potential of the fishing village as a tourist area has not been optimally utilised. This study aims to assess the readiness of the Batukaras Fishing Village in Pangandaran District as a tourist destination within the Pangandaran KSPN. The qualitative analysis method used involves comparing the actual conditions of the Batukaras Fishing Village with the components and criteria of a tourist area to identify existing gaps. The analysis results indicate that the Batukaras Fishing Village largely meets the criteria for a tourist area. However, some criteria remain unmet, particularly regarding the non-homogeneous nature of the settlement. Additionally, the Batukaras Fishing Village lacks dock facilities, tourist transportation, and integrated tourist packages linking the fishing village with other tourist attractions in Pangandaran. Therefore, further research is needed on the planning of supporting tourism infrastructure in the Batukaras Fishing Village, particularly regarding settlement, dock facilities, transportation, and strategies for developing integrated tourism packages between the fishing village and other tourist attractions. Abstrak. Pangandaran merupakan salah satu wilayah yang ditetapkan sebagai Kawasan Strategis Pariwisata Nasional (KSPN) di Provinsi Jawa Barat berdasarkan PP. No 50 Tahun 2011. Sebagai wilayah pesisir, Pangandaran memiliki potensi alam dan budaya khas pesisir, salah satunya adalah kampung nelayan yang terdapat di Desa Wisata Batukaras. Namun potensi kampung nelayan sebagai kawasan wisata belum dimanfaatkan secara optimal. Penelitian ini bertujuan untuk mengetahui kesiapan kampung nelayan Batukaras Kabupaten Pangandaran sebagai tempat wisata di KSPN Pangandaran. Metode analisis kualitatif yang digunakan yaitu komparasi antara kondisi faktual Kampung Nelayan Batukaras terhadap komponen dan kriteria kawasan wisata untuk mengidentifikasi gap yang terjadi. Hasil analisis menunjukkan kesiapan Kampung Nelayan Batukaras sebagian besar telah memenuhi kriteria kawasan wisata. Beberapa kriteria yang belum terpenuhi yaitu terdapat pada kriteria permukiman yang tidak homogen, Kampung Nelayan Batukaras juga belum memiliki fasilitas dermaga dan belum adanya transportasi wisata serta belum ada paket wisata yang terintegrsi antara kampung nelayan dengan objek wisata lainnya di Pangandaran. Oleh karena itu diperlukan penelitian lanjutan mengenai perencanaan pembangunan infrastruktur penunjang wisata di Kampung Nelayan Batukaras yang berkaitan dengan permukiman, fasilitas dermaga dan transportasi serta strategi pengembangan paket wisata yang terintegrasi antara Kampung Nelayan dengan objek wisata lainnya.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.001

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 head0.039
GPT teacher head0.306
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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