Upaya Meningkatkan Hasil Belajar Peserta Didik Pada Materi Agribisnis Pengolahan Hasil Nabati Kelas XII SMKN 1 Sakra
Bibliographic record
Abstract
Untuk mengetahui peningkatan hasil belajar siswa kelas XI SMKN 1 Sakra pada materi pengolahan hasil nabati dengan menggunakan model pembelajaran berbasis masalah. Penelitian ini merupakan penelitian tindakan kelas yang dilaksanakan di SMKN 1 Sakra yang terdiri dari dua siklus dimana tiap siklus meliputi 4 tahap yaitu perencanaan, pelaksanaan tindakan, pengamatan dan refleksi. Data yang digunakan adalah hasil belajar siswa, hasil observasi guru dan hasil observasi siswa. Sabjek penelitian ini adalah ini adalah siswa kelas XII SMKN 1 Sakra yang berjumlah 30 orang. Hasil penelitian ini menunjukan bahwa model pembelajaran berbasis masalah mampu mendorong pemikiran siswa untuk berkembang dnegan cepat dimana aktivitas yang mendukung proses belajar mengajar terus mengalami peningkatan dan aktivitas yang tidak relevan dengan kegiatan proses belajar mengajar berkurang dari pertemuan kepertemuan berikutnya. Berdasarkan hal ini maka dapat disimpulkan bahwa penerapan odel pembelajaran berbasis masalah dapat meningkatkan hasil belajar peserta didik pada materi pengolahan hasil nabati
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 | 0.002 |
| 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 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 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".