Partisipasi Masyarakat dalam Pengembangan Objek Wisata Batu Qur’an di Desa Kadubungbang, Kecamatan Cimanuk, Pandeglang Banten
Bibliographic record
Abstract
Abstract. Community participation-based tourism development is important to ensure the sustainability and involvement of local communities in the tourism industry. Kadubungbang Village has great potential in the aspects of religion, socio-culture, agriculture, plantations, economy, and historical architecture to become a tourist destination. This research uses qualitative and quantitative mixed methods (Mix Method). This research uses primary and secondary data obtained through various means such as interviews, questionnaires, observations, and related literature studies. The analysis used is the assessment and needs of tourists, community participation. Based on the results of the analysis obtained the identification of the Kadubungbang Village community participation ladder is at the partnership level (Partnership) which shows active involvement collaboration in the management of tourist attractions and plays a role in trade and services. Abstrak. Pengembangan wisata berbasis partisipasi masyarakat penting untuk memastikan keberlanjutan dan keterlibatan masyarakat lokal dalam industri pariwisata. Desa Kadubungbang memiliki potensi besar dalam aspek religi, sosial budaya, pertanian, perkebunan, ekonomi, dan arsitektur sejarah untuk menjadi daerah tujuan wisata. Penelitian ini menggunakan metode campuran kualitatif dan kuantitatif (Mix Method). Penelitian ini menggunakan data primer dan sekunder yang diperoleh melalui berbagai cara seperti wawancara, kuesioner, observasi, dan studi litelatur yang berkaitan. Analisis yang digunakan adalah analisis partisipasi masyarakat. Berdasarkan hasil analisis yang di dapatkan teridentifikasinya tangga partisipasi masyarakat Desa Kadubungbang berada pada tingkatan kemitraan (Partnership) dimana menunjukkan kolaborasi keterlibatan aktif dalam pengelolaan objek wisata serta berperan dalam perdagangan dan jasa.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".