Model Kelembagaan dalam Pengelolaan Desa Wisata Berbasis Agro-ekowisata dan Budaya di Indonesia
Bibliographic record
Abstract
Abstract. The development of tourism villages is an effort to improve the local economy through its contribution to village revenue. In this case, the role and performance of village institutions determine the success of such development. Institutions play a role in managing resources to achieve development goals. This study aims to identify institutional models of agro-ecotourism and culture-based tourism village management in Indonesia. Unlike previous studies, this study uses a systematic literature review (SLC) approach to the results of related research in Indonesia over the past 10 years (2012-2022). This study found that there are 4 (four) institutional models of agro-ecotourism and culture-based tourism village management in Indonesia, namely: 1) centralized; 2) quadrapel helix; 3) pentahelix; and 4) triplehelix. The four models have similarities that are based on collaboration and partnerships between various actors in the management of tourist villages. The difference lies in the driving institution and the relationship between actors in the management of tourist villages. The success of tourist villages in Indonesia is considered quite successful, namely using the penta helix model. Abstrak. Pengembangan desa wisata merupakan upaya untuk meningkatkan perekonomian lokal melalui kontribusinya terhadap pendapatan asli desa. Dalam hal ini, peran dan kinerja kelembagaan desa sangat menentukan keberhasilan pembangunan tersebut. Lembaga berperan mengelola sumber daya untuk mencapai tujuan pembangunan. Studi ini bertujuan untuk mengidentifikasi model kelembagaan pengelolaan desa wisata berbasis agro-ekowisata dan budaya di Indonesia. Berbeda dengan studi sebelumnya, studi ini menggunakan pendekatan systematic literature review (SLC) terhadap hasil – hasil penelitian terkait di Indonesia selama 10 tahun terakhir (2012 – 2022). Studi ini menemukan bahwa terdapat 4 (empat) model kelembagaan pengelolaan desa wisata berbasis agro-ekowisata dan budaya di Indonesia, yaitu: 1) terpusat; 2) quadrapel helix; 3) pentahelix; dan 4) triplehelix. Dari keempat model tersebut, memiliki kesamaan yang berlandaskan pada kolaborasi dan kemitraan antara berbagai aktor dalam pengelolaan desa wisata. Adapun perbedaan terletak pada lembaga penggerak dan hubungan antar aktor dalam pengelolaan desa wisata. Keberhasilan desa wisata di Indonesia yang di anggap cukup berhasil yaitu menggunakan model penta helix.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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".