Perencanaan Komunikasi Pemasaran Wonderful Indonesia Sebagai Place Branding Indonesia
Bibliographic record
Abstract
Tourism is a leading sector that became the foundation of the economy in Indonesia. As a leading sector, tourism plays an important role in increasing foreign exchange and expanding employment. Therefore, the government is focusing the tourism sector through marketing communication activities conducted by Kemenpar, one of them by using Wonderful Indonesia. Wonderful Indonesia is currently considered to have successfully promoted Indonesian tourism abroad. Because of the success, the researcher is interested to research about marketing communication planning conducted by Kemenpar by using qualitative approach and deep interview method. The results of this study indicate that Kemenpar performs all marketing communication planning steps covering three key resources, situation analysis, objectives, strategy, tactics, implementation and control that can support Indonesian place branding by fulfilling ten components in place branding. The findings in this research are Branding Advertising Selling (BAS) strategy which is always used for every marketing communication activity. In this strategy Kemenpar not only branding Wonderful Indonesia, but also tried to sell Indonesia tourism destinations. Keywords : Wonderful Indonesia, Marketing Communication Planning, Place Branding
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".