Pembuatan Tempat Edukasi, Pelatihan Daur Ulang Sampah, Lomba Mewarnai Anak Usia Dini pada TK Harapan Bunda
Bibliographic record
Abstract
TK Harapan Bunda merupakan salah satu TK negeri di Balikpapan yang menghadapi permasalahan terkait rendahnya minat baca siswa dan kesadaran lingkungan, serta belum optimalnya perkembangan soft skill siswa. Hal ini dipengaruhi oleh minimnya fasilitas pendukung seperti ruang belajar, buku bacaan, alat permainan edukatif, dan media pembelajaran lainnya. Program pengabdian ini dilaksanakan untuk mengatasi permasalahan tersebut dengan membangun sarana belajar di ruang kosong sekolah, serta menyelenggarakan kegiatan yang dapat meningkatkan minat baca, kreativitas, dan kesadaran lingkungan siswa. Kegiatan yang dilakukan meliputi pembangunan pojok baca yang dilengkapi rak buku, buku cerita, buku menghitung, mainan puzzle dan balok, serta alat mewarnai. Selain itu, diadakan pelatihan daur ulang sampah menjadi kotak pensil yang dihias siswa untuk mengajarkan pentingnya pelestarian lingkungan. Lomba mewarnai juga diselenggarakan untuk menstimulasi kreativitas dan mengembangkan motorik halus anak. Hasil evaluasi menunjukkan peningkatan yang signifikan, dengan minat baca siswa mencapai 83,33%, kesadaran lingkungan 91,67%, kreativitas 83,33%, serta perkembangan soft skill seperti kesabaran, ketelitian, dan koordinasi mencapai 76-93,33%. Peningkatan ini menandakan tumbuhnya minat belajar dan kesadaran akan pentingnya pelestarian lingkungan.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.073 | 0.014 |
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".