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Analisis Pemahaman Siswa Tentang Momen Inersia pada Siswa Kelas XI SMA Negeri 1 Biromaru

2014· article· id· W2179485841 on OpenAlexaff
Kevin Moris Saripah, Unggul Wahyono, Muhammad Ali

Bibliographic record

VenueJPFT (Jurnal Pendidikan Fisika Tadulako Online) · 2014
Typearticle
Languageid
FieldSocial Sciences
TopicSTEM Education
Canadian institutionsImmunoPrecise (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Abstrak- Penelitian ini bertujuan untuk menganalisis pemahaman siswa tentang momen inersia pada siswa kelas XI SMA Negeri 1 Biromaru. Responden dalam penelitian ini berjumlah 12 siswa kelas XI IPA Model pada SMA Negeri 1 Biromaru yang telah mengikuti materi Dinamika Rotasi. Data dikumpulkan melalui pemberian tes kepada 25 siswa dan wawancara dengan 12 responden untuk ditelusuri secara lebih mendalam kesalahan pemahaman siswa. Data penelitian dianalisis dengan pendekatan kualitatif-deskriptif. Hasil penelitian menunjukkan bahwa pemahaman siswa berada dalam kategori rendah menurut standar yang ditetapkan oleh departemen pendidikan dan kebudayaan. Pemahaman siswa mengenai konsep tentang momen inersia tergolong rendah. Untuk itu pengajar perlu mengajarkan dan membimbing siswa agar dapat memahami konsep dengan baik dan benar dengan cara membuat soal yang berhubungan dengan pemahaman konsep serta menggunakan tampilan animasi powerpoint, foto, gambar, alat peraga dan video. Kata Kunci: Pemahaman, momen inersia

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.006

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 head0.024
GPT teacher head0.299
Teacher spread0.275 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2014
Admission routes1
Has abstractyes

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