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Record W4205352373 · doi:10.51178/cjerss.v1i1.244

PERENCANAAN STRATEGIS DALAM UPAYA PENINGKATAN MUTU LULUSAN DI MTs DARUL ILMI PANGKALAN BERANDAN

2021· article· id· W4205352373 on OpenAlexaff
Pitri Nasution Anggun Indah Sari Rambe

Bibliographic record

VenueCybernetics Journal Educational Research and Social Studies · 2021
Typearticle
Languageid
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Tujuan dari penelitian ini sebagai berikut:1) Untuk mendeskripsikan perencanaan strategis yang di MTs Darul Ilmi Pangkalan Berandan. 2) Untuk mendeskripsikan mekanisme pelaksanaan perencanaan di sekolah MTs Darul Ilmi Pangkalan Berandan.3) Untuk mendeskripsikan cara menyusun perencanaan strategis yang efektif dan optimal di MTs Darul Ilmi Pangkalan Berandan.4) Untuk mendeskripsikan perencanaan manajemen strategis tersebut dikaitkan dengan visi misi sekolah MTs Darul Ilmi Pangkalan Berandan. Metode yang digunakan dalam penelitian ini adalah deskriptif, dengan pengambilan data, wawancara, dokumentasi, dan subjek ini adalah kepala madrasah, wakil kepala madrasah, dan guru bidang studi. Adapun hasil penelitian ini adalah berdasarkan hasil penelitian yang peneliti temukan di MTs Darul Ilmi Pangkalan Berandan adalah bagaimana perencanaan strategis yang telah dilakukan oleh kepala madrasah. Setiap pemimpin jika ingin membuat suatu program maka ia harus membuat planning(perencanaan). Penyusunan strategi d sekolah ini dimulai dari mengembangkan pernyataan visi dan misi, melakukan audit internal dan eksternal, menetapkan tujuan jangka panjang, menyusun rencana strategis dan menciptakan mutu lulusan secara efektif dan efesien dengan langkah strategi mempunyai komponen, langkah- langkah strategi yang pertama penguatan kepada SDM guru. Mekanisme penerapan rencana strategis dengan cara membenahi terlebih dahulu guru setelah itu siswanya tahap berikutnya membenahi strukturnya tahap akhir keberhasilan yang akan berkelanjutan. Sehingga sekolah ini menjadi sekolah yang terfavoritkan di Pangkalan Berandan mempunyai jumlah murid yang banyak untuk masuk di sekolah ini.

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)0.003
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.028
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0280.006

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 head0.238
GPT teacher head0.469
Teacher spread0.231 · 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".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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