Pengembangan Media Belajar Mandiri Matematika Materi Segitiga dan Segiempat Berbasis Android
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengembangkan media belajar mandiri berbasis android yang layak digunakan pada mata pelajaran Matematika materi Segitiga dan Segiempat di kelas VII untuk dapat menarik mibat siswa dalam mempelajari materi tersebut. Penelitian menggunakan metode penelitian dan pengembangan dengan mengadaptasi model Borg and Gall yang dimodifikasi menjadi 5 tahapan, yaitu: studi pendahuluan, perencanaan, pengembangan produk awal, uji coba dan evaluasi serta produk akhir dan penyebaran. Hasil dari penelitian ini adalah media belajar mandiri pada mata pelajaran Matematika materi Segitiga dan Segiempat yang berupa aplikasi android dengan format apk. Berdasarkan penilaian kelayakan dari ahli media, ahli materi, hasil uji coba perorangan, dan hasil uji coba lapangan, media termasuk dalam ketegori sangat layak. Jadi, media belajar mandiri berbasis android pada mata pelajaran Matematika materi Segitiga dan Segiempat yang telah dikembangkan dalam penelitian ini layak untuk digunakan.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.010 |
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".