Transforming Rural Economy Through Community-Based Tourism with Village-Owned Enterprise (BUMDES, Badan Usaha Milik Desa) - A Case Study: Cibiru Wetan, Pagerwangi and Cipamekar Villages, Indonesia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The main economic potential in the village should have a positive impact on the welfare of village community. Through BUMDES, it is hoped that villages can increase income, expand job opportunities and increase family economic resilience. The process of transforming the village economy takes a long time. One of them is through the realization of the village's superior economic potential development planning. This action research emphasizes on exploring the potential of three villages in Indonesia to be transformed into tourist villages. Pagerwangi, Cibiru Wetan, and Cipamekar are considered developed and independent where village-owned enterprises (BUMDES, Badan Usaha Milik Desa) have contributed to the community. The data collection method was done by primary survey as conducting partisipatory Business Model Canvas (BMC) workshops to identify the village's economic potential (tourism sector) and exploring through semi-structured interviews to some of villages stakeholder. These data were analysed using qualitative-descriptive analysis. We found that each village has agreed to transform into a tourist village. By employing business model canvas workshop, each village had been guided on their respective models so that the community-based Tourism model for each village can provide a large multiplier effect on the economy due to backward and forward linkages.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it