The Effect Of Using Physical Line-Up Game On Students’ Grammar Achievement At The Eleventh Grade Of SMAN 3 Pamekasan
Bibliographic record
Abstract
This research applied experimental design with a quantitative approach. It was quasi-experimental research type. The instrument research used test (pre-test and post-test) and documentation. The population of this research was the whole class XI students of SMAN 3 Pamekasan and the sample of this research was XI-MIPA3 as control group and XI-MIPA4 as experimental group. The control group was 30 students and either the experimental group. So, the sample of this research was 60 students. the The data collected were analyzed by using t-test formula to find whether any effect of using physical line-up game on students’ grammar achievement at the eleventh grade of SMAN 3 Pamekasan. The result of this study showed that t-value ( ) is higher than t-table ( ) either 5% or 1% where (5% = 1,67 < 3,33) or (1% = 2,39 < 3,33). But in this case, the researcher used significant on 5% (5% = 1,67 < 3,33). Thus, it can be concluded that Ha (Alternative Hypothesis) was accepted and the Ho (Null Hypothesis) was rejected. So, the effect was far in achieving the student’s ability of grammar comprehension by using physical line-up game. Abstrak: Penelitian ini menerapkan desain eksperimen dengan pendekatan kuantitatif. Jenis penelitian kuasi-eksperimental. Instrumen penelitian menggunakan tes (pre-test dan post-test) dan dokumentasi. Populasi dalam penelitian ini adalah seluruh siswa kelas XI SMAN 3 Pamekasan dan sampel penelitian ini adalah XI-MIPA3 sebagai kelompok kontrol dan XI-MIPA4 sebagai kelompok. Jumlah siswa pada Kelompok kontrol dan kelompok eksperimen adalah 33 siswa. Jadi, sampel penelitian ini adalah 66 siswa. Data yang terkumpul dianalisis dengan menggunakan rumus t-test untuk mengetahui apakah ada pengaruh penggunaan physical line-up game terhadap prestasi grammar siswa pada kelas XI SMAN 3 Pamekasan. Hasil penelitian ini menunjukkan bahwa t-nilai (t0) lebih tinggi dari t-tabel (tt) baik 5% atau 1% di mana (5% = 1,67 <3,33) atau (1 % = 2,39 <3,33). Tetapi dalam hal ini, peneliti menggunakan signifikan pada 5% (5% = 1,67 <3,33). Dengan demikian, dapat disimpulkan bahwa Ha (Hipotesis Alternatif) diterima dan Ho (Null Hypothesis) ditolak. Jadi, efeknya jauh dalam mencapai kemampuan pemahaman gramatika siswa dengan menggunakan physical line-up game.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".