DAMPAK PENGELUARAN WISATAWAN DOMESTIK TERHADAP PEREKONOMIAN JAWA BARAT
Bibliographic record
Abstract
Tourism is a sector that is not defined as a distinct sector in the economic statistics of West Java Province, which results in the contribution of tourism not being clearly visible. As a result, the tourism sector is severely disadvantaged by the lack of data showing its full economic impact. Therefore, this study tries to see the impact of tourism on the West Java economy based on domestic tourist expenditure in 2021. Quantitative approach and input output model analysis are used to see the economic impact of tourism by estimating the multiplier effect of domestic tourist spending on output, income, gross value added, and employment. The results of this study indicate that tourism has had a major impact and is one of the important industries in the West Java economy, which contributed 9.28% to GRDP and 12.39% of the total working population in West Java in 2021. Keywords: nput-Output model; economy impact; tourism industry; multiplier; domestic tourist expenditure.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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.
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".