Peran Pariwisata terhadap PDRB dan Dampaknya terhadap Penyerapan Tenaga Kerja di Provinsi Bali
Bibliographic record
Abstract
Penelitian ini bertujuan mengetahui pengaruh sector pariwisata terhadap PDRB dan dampaknya pada penyerapan tenaga kerja, dimana pariwisata memiliki peran besar dalam berkontribusi bagi perekonomian bangsa yang sudah semestinya mendapatkan perhatian serius dari pemerintah, agar dapat berkontribusi lebih maksimal. Metode penelitian secara kuantitatif, menggunakan data sekunder BPS dan literatur. Data diolah dengan aplikasi Eviews 12. Objek yang diteliti seluruh kabupaten di Provinsi Bali dalam kurun waktu 7 tahun, yaitu tahun 2015 sampai 2021. Sektor pariwisata dengan indicator jumlah biro perjalanan wisata, jumlah akomodasi hotel dan restoran pada hotel Bintang dan jumlah akomodasi hotel non bintang, yang ingin diketahui berapa besar pengaruhnya terhadap PDRB yang akan berdampak pada penyerapan tenaga kerja. Hasil penelitian membuktikan ada pengaruh signifikan dari sector pariwisata terhadap PDRB dengan hasil Sig., = 0.000 < 0.05 dan F = 244,8190 lalu PDRB berdampak pada tenaga kerja dengan R 2 = 0,985415 sig. = 0,0000 < 0,05
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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".