HUBUNGAN PENGUASAAN PIRANTI KOHESI DAN KOHERENSI DENGAN KEMAMPUAN MENGANALISIS WACANA
Bibliographic record
Abstract
Penelitian ini mengidentifikasi hubungan penguasaan piranti kohesi dan koherensiyang dimiliki mahasiswa dengan kemampuan menganalisis wacana teks berita. Tujuannyauntuk mengetahui hubungan penguasaan piranti kohesi dan koherensi dengan menganalisiswacana. Metode yang digunakan yaitu survei melalui studi korelasional. Populasi penelitianyaitu mahasiswa semester VIA dan VIB prodi bahasa dan sastra Indonesia Universitas Asahansebanyak 50 orang. Instrumen untuk mengumpulkan data adalah tes kemampuan menganalisiswacana, dan tes objektif penguasaan piranti kohesi dan koherensi. Teknik analisis data yangdigunakan adalah teknik statistik regresi dan korelasi. Setelah dilakukan perhitunganproduct moment maka diperoleh harga koefisien korelasi sebesar 0,480 dan setelahdikonsultasikan dengan rtabel pada taraf nyata 5% adalah 0,322. Dengan demikian rhit >rtab atau 0,414 > 0,322. Dengan demikian dapat dinyatakan bahwa sebesar 32%korelasi antar kedua variabel. Sehingga Ho diterima yang menyatakan terdapathubungan positif dan signifikan antara penguasaan piranti kohesi dan koherensidengan kemampuan menganalisis wacana mahasiswa Universitas Asahan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".