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Record W4413332923 · doi:10.29313/bcsurp.v5i2.19230

Identifikasi Daya Saing Desa Wisata Jalatrang dalam Skala Regional

2025· article· en· W4413332923 on OpenAlexaff
Syarafina Al Hazmi, Riswandha Risang Aji

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusinessPolitical science

Abstract

fetched live from OpenAlex

Abstract. This study discusses the analysis of the competitiveness of Jalatrang Tourism Village. This village has tourism potential that can be developed and can compete on a regional scale. This study aims to identify the competitiveness of Jalatrang Tourism Village with 2 comparisons of Tourism Villages in Ciamis Regency. This study uses the Competitiveness Monitor approach method using seven indicators, namely Human Tourism Indicator, Price Competitiveness Indicator, Infrastructure Development Indicator, Environment Indicator, Human Resource Indicator, Social Development Indicator, and Technology Advancement Indicator. Using quantitative analysis methods, requires data collected through field surveys and literature reviews. The results of the analysis show that the power of Jalatrang Tourism Village occupies the 1st position in tourism competitiveness. It has 3 indicators that do not have competitiveness, namely Competitiveness Monitor (PCI), Infrastructure Development Indicator (IDI), Environment Indicator (EI), has 3 indicators that have low competitiveness, namely Human Tourism Indicator (HTI), Social Development Indicator (SDI), Technology Advancement Indicator (TAI). And 1 indicator that has sufficient competitiveness is Human Resources Indicator (HRI). This research is expected to be able to determine the competitiveness conditions of Jalatrang Tourism Village which is compiled as a reference for the development of Jalarang Tourism Village. Abstrak. Studi ini membahas analisis daya saing Desa Wisata Jalatrang. Desa ini memiliki potensi pariwisata yang dapat dikembangkan dan dapat bersaing dalam skala regional. penelitian ini bertujuan untuk mengidentifikasi daya saing Deìsa Wisata Jalatrang dengan 2 perbandingan Desa Wisata di Kabupaten Ciamis. Penelitian ini menggunakan metode pendekatan Competitiveness Monitor dengan memakai tujuh indikator yaitu Human Tourism Indicator, Price Competitiveness Indicator, Infrastructure Development Indicator, Environment Indicator, Human Resource Indicator, Social Development Indicator, dan Technology Advancement Indicator. Menggunakan metode analisis kuantitatif, membutuhkan data yang dikumpulkan melalui survei lapangan dan tinjauan literatur. Hasil analisis menunjukkan bahwa daya Desa Wisata Jalatrang menempati posisi daya saing pariwisata peringkat 1. Memiliki 3 indikator tidak memiliki daya saing yaitu Competitiveness Monitor (PCI), Infrastruktur Development Indicator (IDI), Environtment Indicator (EI), memiliki 3 indikator yang memiliki kemampuan daya saing rendah yaitu Human Tourism Indicator (HTI), Sosial Development Indicator (SDI), Technology Advancemen Indicator (TAI). Dan 1 indikator yang memiliki kemampuan daya saing cukup yaitu Human Resources Indicator (HRI). Penelitian ini diharapkan dapat mengetahui kondisi daya saing Desa Wisata Jalatrang yang disusun menjadi referensi terhadap pengembangan Desa Wisata Jalarang.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.324
Teacher spread0.277 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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