Bibliographic record
Abstract
Pendidikan anak usia dini merupakan suatu jenjang Pendidikan sebelum Pendidikan dasar, hal ini ditujukan auntuk anak semenjak lahir hingga usia sekolah sekitar enam tahun, dalam pendidikannya anak diberikan rangsangan agar kelak bisa menumbuhkan suatu perkembangan yang baik, dari segi rohani maupun jasmani sampai nanti saatnya memasuki jenjang Pendidikan dasar. Permasalahan yang terjadi diantaranya yaitu proses pendaftaran yang masih ditulis tangan sehingga rekapitulasi membutuhkan waktu yang cukup lama, pencarian data siswa, terjadi kesalahan dalam proses pembayaran pendaftaran siswa pembayaran SPP siswa serta lamanya pembuatan laporanlaporan yang dibutuhkan. Tujuan dari penelitian ini adalah untuk perencanaan system informasi administrasi di Pendidikan anak usia dini. Metode yang digunakan adalah Unified Software Development Process dan pemodelan Unified Modelling Language dibatasi hanya sampai model perancangan. Kesimpulan dari penelitian ini adalah perencanaan system informasi untu Pendidikan anak usia dini.
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 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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.008 |
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".