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Record W2996617901 · doi:10.15294/jsm.v8i1.28210

PEMBELAJARAN TROMBONE DI SMK NEGERI 2 KASIHAN BANTUL

2019· article· id· W2996617901 on OpenAlexaff
Johan Rendra Afrihana, Slamet Haryono

Bibliographic record

VenueJURNAL SENI MUSIK · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicEducational Curriculum and Learning Methods
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

SMK N 2 Kasihan Bantul merupakan sekolah menengah kejuruan yang mempelajari ilmu tentang musik. Instrumen Trombone merupakan salah satu mata pelajaran pokok yang harus ditempuh siswa SMK N 2 Kasihan Bantul sebagai syarat kelulusan. Permasalahan yang akan dikaji dalam penelitian ini adalah bagaimana kegiatan pembelajaran instrumen trombone di SMK N 2 Kasihan Bantul. Penelitian ini bertujuan untuk mengetahui bagaimana kegiatan pembelajaran instrumen trombone di SMK N 2 Kasihan Bantul. Penelitian ini merupakan penelitian kualitatif dengan menggunakan metode deskriptif. Teknik pengumpulan data yang dilakukan adalah wawancara, observasi, dan studi dokumentasi. Hasil dari Penelitian ini yaitu kegiatan pembelajaran trombone di SMK N 2 Kasihan Bantul terdiri atas empat komponen yaitu perencanaan pembelajaran, proses pembelajaran, metode pembelajaran, dan evaluasi pembelajaran. Pada perencanaan pembelajaran guru mempersiapkan RPP (Rencana Pelaksanaan Pembelajaran) sebagai sebagai pedoman pembelajaran trombone di SMK N 2 Kasihan Bantul. Pada proses pembelajaran terdiri atas tiga tahap yaitu persiapan, pemanasan, dan pemberian materi pembelajaran. Pada metode pembelajaran trombone di SMK N 2 Kasihan Bantul guru menggunakan metode ceramah, metode tanya jawab, metode berlatih dan metode penugasan. Untuk evaluasi dilakukan dengan tiga cara yaitu evaluasi secara lisan kepada siswa setiap kali pertemuan akan diakhiri, evaluasi pada saat UTS dengan bentuk unjuk kerja dan penilaian, dan pada saat UAS dengan bentuk unjuk kerja dan penilaian.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0320.005

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 head0.023
GPT teacher head0.335
Teacher spread0.312 · 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 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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