Dampak Motivasi Simbolis Kunjungan Wisatawan ke Destinasi Pariwisata Berbasis Ekowisata
Bibliographic record
Abstract
Popularitas ekowisata di kalangan wisatawan mancanegara maupun domestik kian meningkat di Indonesia. Unggahan konten ekowisata di sosial media dapat mempengaruhi keputusan pengunjung dan memberikan perasaan puas bagi pengunggah. Pengakuan melalui sosial media atau motivasi simbolis menjadi salah satu motivasi wisatawan untuk mengunjungi ekowisata. Jumlah wisatawan dengan motivasi simbolis semakin banyak, sejajar dengan meningkatnya penggunaan sosial media secara global, yang dapat berdampak pada perkembangan ekowisata, Penelitian ini mengidentifikasi faktor wisatawan dengan motivasi simbolis ingin mengunjungi tiga taman nasional (TNGL dan TN Komodo) di Indonesia dan dampak yang ditimbulkan dari fenomena ini. Penelitian ini adalah penelitian kualitatif, dengan data didapatkan melalui studi kepustakaan dan dianalisis secara deskriptif. Penelitian ini mendapatkan bahwa faktor wisatawan dengan motivasi simbolis mengunjungi dua lokasi tersebut yaitu pemandangan indah dan terdapat spot foto, gaya hidup berbeda yang ditawarkan destinasi, relaksasi, adanya nilai eksklusifitas, dan keinginan sensation seeking ke tempat wisata yang tren di sosial media karena banyak ulasan positif. Fenomena ini berdampak positif juga negatif dalam aspek lingkungan, ekonomi, dan sosial budaya pada dua taman nasional ini.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.052 | 0.008 |
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".