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Record W7117884023 · doi:10.31958/jaf.v13i2.16142

Strategic Plan Development Management in Islamic Educational Institutions Based on Objectives, Quality, Vision, and Mission

2025· article· W7117884023 on OpenAlexaff
Suwelda Suwelda, Sartina wati, Sardimi Sardimi

Bibliographic record

Venueal-fikrah Jurnal Manajemen Pendidikan · 2025
Typearticle
Language
FieldBusiness, Management and Accounting
TopicOrganizational Strategy and Culture
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsStrategic planningIslamPlan (archaeology)DocumentationWork (physics)Process (computing)Development planSustainable development

Abstract

fetched live from OpenAlex

Strategic plan development management is an important component in improving the effectiveness of Islamic educational institutions. This study aims to analyze the process of strategic plan development in Islamic educational institutions based on objectives, vision, and mission, as well as its role in directing the achievement of educational quality. The approach of objectives, vision, and mission is seen as the main foundation in formulating policies, work programs, and institutional decision-making in a systematic and integrated manner. This study uses a qualitative method with a case study approach. Data were collected through in-depth interviews, observations, and documentation studies involving institutional leaders, educators, and educational staff. The results of the study show that the alignment between objectives, vision, and mission with the strategic plan is able to strengthen the direction of institutional development, increase the effectiveness of program implementation, and foster the commitment of institutional members to Islamic educational values. Thus, strategic plan management based on objectives, vision, and mission is a key factor in the sustainable development of Islamic educational institutions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.308
Teacher spread0.279 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

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