APLIKASI BUDIDAYA SAYURAN HIDROPONIK SEBAGAI SARANA PEMBELAJARAN ANAK USIA DINI
Bibliographic record
Abstract
Kegiatan ini bertujuan untuk mengenalkan dan mengaplikasikan budidaya sayuran menggunakan teknologi hidroponik kepada anak-anak usia dini. Kegiatan dilaksanakan di TK IT Insan Taqwa di Desa Sidosari, Kecamatan Natar, Kabupaten Lampung Selatan. Kegiatan dilakukan dengan merancang, membuat dan menginstal perangkat budidaya hidroponik sistem ABC menggunakan pipa PVC 3 inchi sepanjang 16 m yang dilengkapi dengan ember kapasitas 80 L, pompa 125 W, dan timer analog 15 menitan. Setelah instalasi perangkat hidroponik, kegiatan dilanjutkan dengan pelatihan budidaya hidroponik yang disertai praktek penanaman sayuran selada. Hasil kegiatan menunjukkan bahwa setelah kurang lebih 4minggu, tanaman selada tumbuh dengan baik yang ditunjukkan oleh figur tanaman yang segar dan besar. Pada akhir minggu ke-5, tanaman selada dipanen oleh para. Dapat disimpulkan bahwa kegiatan ini berjalan dengan sukses yang ditunjukkan dari indikator keberhasilan yang meliputi (1) tersedianya satu unit kit hidroponik,(2) terlaksananya kegiatan sosialisasi dan praktek budidaya hidroponik, (3) terlaksananya budidaya hidroponik yang dikerjakan oleh guru dan siswa TK IT Insan Taqwa dari penanaman hingga panen.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".