OPTIMALISASI POTENSI SUMBER DAYA ALAM UNTUK KESEJAHTERAAN DAN DAYA TARIK WISATAWAN DI KAMPUNG BANYUMAS KM. 15 RT 32 BALIKPAPAN
Bibliographic record
Abstract
Pengabdian kepada masyarakat dilakukan melalui penerapan ilmu pengetahuan secara langsung guna memberdayakan masyarakat sesuai dengan kebutuhan lokal. Lokasi pengabdian kepada masyarakat dilaksanakan di Kampung Banyumas, sebuah wilayah dengan potensi sumber daya alam yang melimpah, khususnya di bidang perikanan dan pertanian. Namun, masyarakat setempat masih menghadapi tantangan dalam pengolahan hasil budidaya ikan lele, keterbatasan akses air bersih untuk fasilitas ibadah, serta minimnya dokumentasi potensi kampung. Sebagai bagian dari program kerja, telah dilakukan pemasangan filter air bersih di masjid setelah melalui proses analisis kualitas air. Kegiatan ini diikuti dengan pelatihan perawatan filter kepada warga, guna memastikan keberlanjutan fungsi filter dalam jangka panjang. Selain itu, tim pengabdian telah melaksanakan pengumpulan data lapangan untuk penyusunan profil kampung, yang meliputi aspek potensi alam, ekonomi, dan budaya, melalui observasi dan wawancara langsung dengan warga. Kegiatan yang telah dilaksanakan ini diharapkan dapat meningkatkan kualitas sarana ibadah, mendukung pengembangan promosi potensi kampung melalui media digital, serta memperkuat kapasitas masyarakat dalam mengelola dan memanfaatkan sumber daya yang ada secara berkelanjutan.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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 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".