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Record W4412198301 · doi:10.59632/leibniz.v5i02.519

Pengaruh Infokus Terhadap Hasil dan Keaktifan Belajar Matematika Siswa SMPN 1 Wamena Tahun Pelajaran 2024/2025

2025· article· id· W4412198301 on OpenAlexaff
Mindo Hotmaida Sinambela, Liana, Sutarman Borean, Citra Ratna Napitupulu, Marthinus Kayame

Bibliographic record

VenueLeibniz Jurnal Matematika · 2025
Typearticle
Languageid
FieldMathematics
TopicMathematics Education and Pedagogy
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsMathematics educationHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Infokus merupakan salah satu media pembelajaran yang dapat digunakan oleh guru untuk menarik perhatian siswa pada saat guru menjelaskan materi pelajaran sehingga dapat meningkatkan hasil belajar matematika siswa dan keaktifan. Tujuan penelitian adalah untuk mengetahui apakah ada pengaruh penggunaan infokus terhadap hasil belajar dan keaktifan belajar matematika siswa SMPN 1 Wamena. Penelitian ini merupakan penelitian kuantitatif dengan pendekatan kuantitatif deskriptif. Teknik analisis data yang digunakan adalah statistik Inferensial dengan uji paired sample t-test menggunakan SPSS versi 23. Sampel penelitian diambil secara purposive sampling yaitu sebanyak 23 orang. Adanya perbedaan rata-rata hasil belajar siswa setelah dan sesudah penggunaan test sebesar 19,96. Berdasarkan hasil uji paired sampel t-test menunjukkan nilai 0,001 < 0,05 yang berarti ada perbedaan hasil belajar sebelum menggunakan infokus dan sesudah menggunakan infokus. Pada hasil belajar dan keaktifan belajar nilai signifikansinnya 0,000 < 0,05, maka dapat disimpulkan bahwa ada pengaruh media infokus terhadap hasil belajar siswa ditinjau dari keaktifan belajar. Berdasarkan sebaran angket yang diberikan diperoleh data bahwa 75% siswa lebih aktif saat guru menggunakan infokus.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.221
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0190.005

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 head0.043
GPT teacher head0.344
Teacher spread0.302 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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