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Kepemimpinan dan Budaya Islam dalam Pengembangan Kompetensi Sumber Daya Insani Perbankan Syariah di Tengah Persaingan Perubahan Teknologi

2022· article· id· W4319444310 on OpenAlexaff
Norman Omang, Siradjuddin, Abd. Wahid Haddade

Bibliographic record

VenueJurnal Iqtisaduna · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness administrationPolitical scienceHumanitiesEngineeringBusinessArt

Abstract

fetched live from OpenAlex

Penelitian ini bertujuang untuk mengetahui: 1) implementasi kepemimpinan dan budaya islami; 2) urgensi pengembangan kompetensi sumber daya insani ditengah persaingan perubahan tekhnologi; 3) kompetensi apa saja yang dibutuhkan sumber daya insani; 4. peluang dan tantangan pengembangan kompetensi sumber daya insani di ditengah persaingan perubahan teknologi; dan 5) pengembangan kompetensi sumber daya insani pada Bank Muamalat Indonesia Regional Sulampua. Jenis penelitian yang digunakan adalah penelitian kualitatif. penelitian kualitatif. Adapun pendekatan penelitian yang digunakan adalah pendekatan theologi normatif dan pendekatan fenomenologi, dengan sumber data primer dan sekunder. Teknik pengumpulan data dengan observasi, wawancara dan dokumen-tasi. Teknik analisis adalah reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa: 1) implementasi kepemimpinan dan budaya islami sudah sesuai dengan kode etik, dan nilai-nilai muamalat IDEAL; 2) urgensi pengembangan kompetensi SDI adalah: teknologi digital, perilaku konsumen dan kebutuhan profesi; 3) Kebutuhan kompetensi SDI adalah: aspek personal (skill, knowledge, traith, values and motive), aspek organisasional (kompetensi komunikasi, perencanaan, strategi aksi, manajemen diri, kompetensi multicultural, dan team work); program core training, functional training, aspek behavioural and managerial, dan aspek spiritualitas; 4) tantangan pengembangan kompetensi SDI adalah: inovasi baru dibidang digital, komitmen dari semua pemangku kepentingan, ketersediaan anggaran, perubahan lanskap, tingginya sikap skeptis masyarakat atas keamanan, culture shock nasabah di daerah-daerah tertentu, turn over cukup tinggi. Sedangkan peluang adalah: regulator OJK yang mengharuskan perusahaan membuat roadmap pengembangan kompetensi SDI; dan 5) Upaya pengembangan kompetensi SDI adalah: program reskilling, upskilling, muamalat officer development program.

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)0.002
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 score0.049
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0490.007

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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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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Citations1
Published2022
Admission routes1
Has abstractyes

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