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Record W3097315662 · doi:10.24905/jcose.v2i02.62

Meningkatkan Perencanaan Karir Melalui Layanan Informasi Dengan Teknik Biblio-Therapy Pada Siswa Kelas Xi IPS 2 Sma Negeri 1 Bengkayang

2020· article· id· W3097315662 on OpenAlexaff
Hendrik Hendrik

Bibliographic record

VenueJCOSE Jurnal Bimbingan dan Konseling · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Tujuan penelitian ini adalah1) mengetahui perencanaan karir siswa kelas XI IPS 2 Sekolah Menengah Atas Negeri 1 Bengkayang, 2) mengetahui Pelaksanaan layanan informasi dengan teknik Biblio-therapy untuk meningkatkan perencanaan karir siswa kelas XI IPS 2 Sekolah Menengah Atas Negeri 1 Bengkayang, 3) peningkatkan perencanaan karir siswa melalui layanan informasi dengan teknik Biblio-therapy kelas XI IPS 2 Sekolah Menengah Atas Negeri 1 Bengkayang.Metode penelitian yang digunakan dalam penlitian ini adalah metode Deskriptif sedangkan bentuknya yaitu penelitian tindakan bimbingan dan konseling (PTBK). Subjek penelitian yang digunakan yang berjumlah 34 siswa kelas XI IPS 2 Sekolah Menengah Atas Negeri 1 Bengkayang. Teknik pengumpulan data yang digunakan adalah teknik observasi langsung, teknik komunikasi langsung, teknik komunikasi tidak langsung, teknik studi dokumnter. Alat pengumpul data yang digunakan berupa panduan obesrvasi, panduan wawancara, skala psikologis, dokumentasi. Hasil pnlitian ini menunjukan bahwa meningkatkan perencanaan karir melalui layanan informasi dengan teknik Biblio-thrapy pada siswa kelas XI IPS 2 Sekolah Menengah Atas Negeri 1 Bengkayang. Meningkatkan perencanaan karir, melalui 4 langkah 1) perencanaan 2) pelaksanaan 3) pengamatan 4) refleksi. Berdasarkan Hasil penelitian terdapat peningkatan peresentase awal 51% mengalami peningkatan setelah dilaksanakannya tindakan pada siklus I meningkat menjadi 64% namun masih kategori “Cukup” dan setelah dilaksanakan tindakan pada siklus II meningkat menjadi 74 % dengan kategori “Baik”. Dari hasil peningkatan penelitian diatas disarankan guru bimbingan dan konseling dapat menggunakan

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)0.002
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.110
Threshold uncertainty score0.367

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1100.021

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 head0.052
GPT teacher head0.287
Teacher spread0.235 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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