Penyusunan Model Pengembangan Pariwisata Pedesaan Berkelanjutan di Kecamatan Dolok Pardamean, Kabupaten Simalungun
Bibliographic record
Abstract
Peningkatan jalan ruas Simpang Sonom ke Haranggaol sepanjang 18 km mendorong pengembangan pariwisata di kawasan Danau Toba. Kegiatan pengabdian ini melakukan penilaian potensi pariwisata dan menyusun model pengembangan pariwisata pedesaan berkelanjutan (PPPB) di Nagori Togu Domu Nauli (TDN). Pariwisata belum berkembang di wilayah ini akibat buruknya aksesibilitas selama puluhan tahun. Melihat potensi pantai, agrowisata, alam, budaya, dan masyarakat lokal; kegiatan pengabdian ini bertujuan untuk menyusun konsep awal model PPPB. Metode yang digunakan adalah reviu hasil penelitian/pengabdian sebelumnya, survei awal, pedoman observasi, plotting, RRA, dan penyusunan model. Komponen PPPB di Nagori TDN terdiri dari pantai, agrowisata, atraksi, dan masyarakat lokal. Komponen pantai terdiri dari prasarana pantai (joglo/pondok, jalur pedestrian), permainan/wisata air, fasilitas berenang, fasilitas memancing, kuliner lokal, pohon dan buah mangga, dan spot foto. Komponen agrowisata meliputi kebun kopi arabika Sigarar Utang, pengolahan kopi arabika, cafe (Simalungun specialty), demplot kebun bawang merah dan stroberi, budidaya lebah madu, dan spot foto. Sementara komponen atraksi terdiri dari demo prosesing kopi arabika spesialti dan produksi madu. PPPB ini memerlukan dukungan dari semua pemangku kepentingan: pemerintah kabupaten (Dinas Pariwisata), perguruan tinggi, perusahaan publik dan swasta, masyarakat lokal, dan media. Pengembangan wisata komponen pantai dan komponen agrowisata, kegiatan pengabdian ini telah mengidentifikasi empat lokasi potensial. Model awal dan konsep denah lokasi disajikan pada bagian akhir naskah 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".