MétaCan
Menu
Back to cohort
Record W4401932080 · doi:10.47766/literatur.v6i1.2590

Pengaruh Metode Menulis Berantai terhadap Kemampuan Menulis Cerita Pendek Siswa Kelas IX Sekolah Menengah Atas

2024· article· id· W4401932080 on OpenAlexaff
Ulfa Safira, Friskha Wilda Nissa, Echa Anggraining Tiyas, Moh. Ainul Yaqin, Warniatul Ulfah

Bibliographic record

VenueLITERATUR Jurnal Bahasa dan Sastra · 2024
Typearticle
Languageid
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh metode menulis berantai terhadap kemampuan menulis cerita pendek siswa kelas XI SMA Negeri 1 Cot Girek. Jenis pendekatan yang digunakan yaitu pendekatan kuantitatif, jenis penelitian yaitu penelitian eksperimen dengan rancangan quasi eksperimental designs (eksperimen semu). Desain penelitian yang digunakan adalah pretest-posttest control group design. Teknik pengumpulan berupa tes menulis cerita pendek dan lembar penilaian. Penelitian dilakukan pada kelas XI dengan jumlah populasi sebanyak 164 siswa dan sampel yang diambil menggunakan teknik simple random sampling yaitu dua kelas sebagai kelas eksperimen dan kelas kontrol. Hasil penelitian ini yaitu nilai rata-rata posttest kelas eksperimen sebanyak 75,59 yang sudah memenuhi KKM dan nilai rata-rata posttest kelas kontrol sebanyak 70,2 yang belum memenuhi KKM. Hasil uji t juga membuktikan bahwa penelitian yang dilakukan oleh peneliti dikatakan berhasil karena nilai signifikansi < nilai alpha (0,047 < 0,05), dan t hitung > t tabel (2.031 > 1.675) maka Ha diterima dan Ho ditolak. Peneliti menyimpulkan bahwa metode menulis berantai efektif terhadap kemampuan menulis cerita pendek siswa kelas XI SMA Negeri 1 Cot Girek.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0060.003
Open science0.0030.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.025
GPT teacher head0.306
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueLITERATUR Jurnal Bahasa dan SastraSame topicEducational Methods and Media UseFrench-language works237,207