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Record W4413001739 · doi:10.29313/jrpwk.v5i1.6568

Strategi Pengembangan Wisata Budaya di Desa Margacinta Kecamatan Cijulang Kabupaten Pangandaran

2025· article· id· W4413001739 on OpenAlexaff
Aif Nanang Nurrohman, Weishaguna Weishaguna

Bibliographic record

VenueJurnal Riset Perencanaan Wilayah dan Kota · 2025
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAeronauticsGeographyEngineering

Abstract

fetched live from OpenAlex

Abstrak. Studi ini membahas pengembangan wisata budaya di Desa Margacinta. Desa ini memiliki potensi wisata budaya yang otentik dan beragam tetapi menghadapi berbagai tantangan. Penelitian ini bertujuan untuk merumuskan strategi pengembangan wisata budaya yang diperlukan Desa Margacinta agar dapat menjadi destinasi wisata budaya unggulan di Kabupaten Pangandaran. Metode yang digunakan mencakup pendekatan mix methods, dengan metode analisis supply and demand, analisis deskriptif kualitatif, dan analisis SWOT. Hasil analisis menunjukkan bahwa meskipun desa ini memiliki kekuatan seperti seni pertunjukan badud yang terdaftar sebagai Warisan Budaya Tak Benda Nasional, terdapat kelemahan pada kualitas sumber daya manusia dan fasilitas yang belum memadai. Peluang dukungan pemerintah dan kemitraan yang dapat dimanfaatkan, sementara ancaman persaingan dengan destinasi lain perlu diwaspadai. Strategi yang diusulkan meliputi pengadakan program pemberdayaan masyarakat. Perlu adanya peningkatan komponen 5A wisata budaya. Menjadikan wisata budaya sebagai sektor yang diprioritaskan. Membuat paket wisata budaya dan kegiatan budaya. Dengan langkah-langkah ini, diharapkan Desa Margacinta dapat menjadi destinasi wisata budaya unggulan di Kabupaten Pangandaran sekaligus sebagai upaya dalam mempertahakan warisan budaya. Abstract. This study discusses the development of cultural tourism in Margacinta Village. The village has authentic and diverse cultural tourism potential but faces various challenges. This study aims to formulate a cultural tourism development strategy that Margacinta Village needs in order to become a leading cultural tourism destination in Pangandaran Regency. The method used includes a mixed methods approach, with supply and demand analysis methods, qualitative descriptive analysis, and SWOT analysis. The results of the analysis show that although the village has strengths such as the badud performance art which is registered as a National Intangible Cultural Heritage, there are weaknesses in the quality of human resources and inadequate facilities. Opportunities of government support and partnerships can be utilized, while threats of competition with other destinations need to be watched out for. The proposed strategies include organizing community empowerment programs. There is a need to increase the 5A components of cultural tourism. Making cultural tourism a prioritized sector. Creating cultural tourism packages and cultural activities. With these steps, Margacinta Village is expected to become a leading cultural tourism destination in Pangandaran Regency as well as an effort to preserve cultural heritage.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.003

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 head0.021
GPT teacher head0.299
Teacher spread0.278 · 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 designQualitative
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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