STRATEGIC PLACE TRIANGLE PENGEMBANGAN POTENSI KAWASAN PARIWISATA BOJONEGERO
Bibliographic record
Abstract
Kabupaten Bojonegoro ditetapkan sebagai salah satu Daerah Tujuan Wisata (DTW) di Jawa Timur karena memiliki potensi obyek wisata alam dan budaya yang telah mendapatkan perhatian wisatawan nusantara pada umumnya. Dalam kebijakan pengembangan yang tertuang dalam Rencana Induk Pengembangan Pariwisata (RIPP) Jawa Timur 1999-2015 Kabupaten Bojonegoro meskipun bukan sebagai gerbang utama namun memiliki peran strategis untuk mendorong pertumbuhan kawasan di sekitarnya. Dalam penelitian, peneliti melakukan pemetakan perubahan lingkungan eksternal, pemetakan pesaing dan pelanggan, analisis internal, dan analisis TOWS. Selanjutnya akan dirumuskan Strategic Place Triangle . Yang dimaksud dengan Strategic Place Triangle adalah suatu pendekatan strategi pemasaran wilayah yang mencakup tiga hal kunci, yaitu (1) Strategi yang mencakup Segmentasi-Targeting-Positioning , (2) Taktik yang mencakup Diferensiasi-Marketing Mix-Selling , (3) Value yang mencakup Brand-Servis-Proses. Analisis pemetaan terhadap lingkungan eksternal dan internal dengan menggunakan pendekatan Strategi Pemasaran Wilayah (Marketing Places) tersebut akan menghasilkan Positioning, Diferensiasi, dan Brand , bagi potensi kawasan pariwisata Bojonegoro. Positioning- nya adalah ibarat Bali bagi Jawa Timur dengan kekhasan tetap memegang nilai-nilai religi dan kultur lokal setempat. Diferensiasi -nya adalah one-stop-shopping services, pesona wisata yang tak berakhir, cantik alami, penduduknya yang santun, ramah dan mempesona. Brand -nya adalah Pesona Wisata Bojonegoro.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.009 |
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".