<b>Pemanfaatan Lahan Bekas Tambang Menjadi Pariwisata </b><b>d</b><b>i Kawasan Benteng Kutopanji Kecamatan Belinyu</b><b> </b>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Penelitian ini membahas pemanfaatan lahan bekas tambang di kawasan Benteng Kuto Panji, Kecamatan Belinyu, Kabupaten Bangka, sebagai upaya transformasi pascatambang menuju kawasan wisata berkelanjutan. Aktivitas pertambangan timah telah meninggalkan lahan terdegradasi, sehingga diperlukan rehabilitasi berbasis lingkungan dan sosial. Metode yang digunakan adalah observasi lapangan, survei masyarakat, dan analisis deskriptif kualitatif untuk mengidentifikasi potensi, bentuk pemanfaatan lahan, serta dampak sosial-ekonomi kawasan. Hasil penelitian menunjukkan bahwa pemanfaatan lahan bekas tambang menjadi wisata air, sejarah, dan edukasi memberikan manfaat ekologis melalui penghijauan dan konservasi air, serta manfaat ekonomi berupa peningkatan pendapatan dan penguatan UMKM lokal. Pengelolaan dilakukan secara kolaboratif antara pemerintah daerah, Yayasan Panji Mulia, dan masyarakat sesuai prinsip community-based tourism. Strategi pengembangan meliputi revitalisasi ekologis, pemberdayaan ekonomi lokal, serta promosi wisata terpadu sesuai arah RIPPARDA Kabupaten Bangka 2019-2025 dan RTRW 2024-2044. Kawasan ini diharapkan menjadi contoh pengelolaan pascatambang yang seimbang antara aspek lingkungan, sosial, dan ekonomi.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.003 |
| Meta-epidemiology (narrow) | 0.010 | 0.012 |
| Meta-epidemiology (broad) | 0.009 | 0.004 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.010 | 0.007 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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 it