Optimalisasi Pertanian Berkelanjutan Melalui Pembuatan Pergola dan Sistem Penyiraman Otomatis di Kebun KWT Daun Sop Ceria KM. 21 Balikpapan
Bibliographic record
Abstract
Kegiatan pengabdian masyarakat bertujuan untuk meningkatkan efisiensi dan keberlanjutan pertanian skala rumah tangga melalui penerapan teknologi sederhana di kebun Kelompok Wanita Tani (KWT) Daun Sop Ceria KM. 21 Balikpapan. Permasalahan utama yang dihadapi kebun KWT adalah rendahnya efektivitas penyiraman manual dan keterbatasan media tanam bagi tanaman yang merambat. Sebagai solusi, dirancang dan dibangun pergola sebagai media rambat serta sistem penyiraman otomatis. Pelaksanaan dilakukan secara partisipatif melalui sosialisasi, pelatihan teknis, dan praktik lapangan. Hasil kegiatan menunjukkan peningkatan pengetahuan dan keterampilan anggota KWT dalam mengadopsi teknologi pertanian sederhana, serta terciptanya fasilitas tanam yang lebih efisien dan ramah lingkungan. Integrasi pergola dan sistem penyiraman otomatis terbukti menjadi pendekatan aplikatif dalam mengatasi keterbatasan lahan dan tenaga kerja, sekaligus mendukung produktivitas dan keberlanjutan pertanian.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".