Upaya Meningkatkan Kemandirian Peserta Didik KejarAURORA melalui Budidaya Tanaman Hias Daun (Aglaonema, Calathea, dan Peperomia)
Bibliographic record
Abstract
KejarAURORA, or in abbreviation of AURORA Learning Group is a community of children aged 5-18 years from underprivileged families in the area of Rw 11 and Rw 20, Cibabat, Cimahi Utara, Cimahi City, West Java province. Since the last decade, KejarAURORA Foundation focuses on providing non-formal education materials to students with the concept of learning while playing with free of charge. During the pandemic, routine activities were stopped due to the government’s policy of restricting community activities. Starting from the 2022 academic year, the non-formal education activities are back in active while paying attention to the government’s health protocols. The PKM UICM team’s proposal to partner with KejarAURORA Foundation has been realized in 2022 by providing integrated farming skills in 3 (three) themes; raising chickens, cultivating leaf ornamental plants, and making organic fertilizer from previous broiler chickens which have been bred. The tutorial method by the PKM UICM team was given offline through 4 stages; 1) debriefing, 2) productivity, 3) harvesting, and 4) marketing. The results of the skill activity for cultivating leaf ornamental plants were divided into 2 parts; 1) students’ interests in developing skills in leaf cultivation, and 2) the level of leaf cultivation of Aglaonema, Calathea, Peperomia, which given solid organic fertilizer from chicken waste. The result shows that interest can motivate the growth of talent, and the growth of leaf ornamental plants has a positive effect after being given solid organic fertilizer
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.
How this classification was reachedexpand
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".