Identifikasi Daya Saing Desa Wisata Jalatrang dalam Skala Regional
Bibliographic record
Abstract
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.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".