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Record W7118987628 · doi:10.35965/jbm.v8i1.4590

ANALISIS GAYA KEPEMIMPINAN DAN MOTIVASI KERJA TERHADAP KINERJA PEGAWAI DIMEDIASI OLEH KEPUASAN KERJA PADA KANTOR DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL PROVINSI SULAWESI SELATAN

2025· article· W7118987628 on OpenAlexaff
Muhammad Zarkasyi Assagaf, Muhammad Yusuf Saleh, Abdul Karim

Bibliographic record

VenueIndonesian Journal of Business and Management · 2025
Typearticle
Language
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsJob satisfactionWork motivationLeadership styleWork environmentEmployee motivation

Abstract

fetched live from OpenAlex

Permasalahan dalam penelitian ini adalah apakah gaya kepemimpinan dan motivasi kerja berpengaruh terhadap kepuasan kerja dan kinerja pegawai, serta apakah gaya kepemimpinan dan motivasi kerja berpengaruh terhadap kinerja pegawai melalui kepuasan kerja pada Dinas Kependudukan dan Pencatatan Sipil Provinsi Sulawesi Selatan. Untuk menjawab rumusan masalah maka tujuan penelitian ini adalah untuk menganalisis pengaruh gaya kepemimpinan dan motivasi kerja terhadap kepuasan kerja dan kinerja pegawai, serta menganalisis pengaruh gaya kepemimpinan dan motivasi kerja terhadap kinerja pegawai melalui kepuasan kerja pada Dinas Kependudukan dan Pencatatan Sipil Provinsi Sulawesi Selatan. Penelitian ini menggunakan pendekatan kuantitatif, pengumpulan data melalui observasi dan kuesioner, dengan teknik analisis data menggunakan metode Partial Least Square (PLS) versi 3.0. Hasil penelitian diperoleh temuan bahwa gaya kepemimpinan berpengaruh langsung terhadap kepuasan kerja, motivasi kerja berpengaruh langsung terhadap kepuasan kerja, gaya kepemimpinan ber-pengaruh langsung terhadap kinerja pegawai, motivasi kerja berpengaruh langsung terhadap kinerja pegawai, kepuasan kerja berpengaruh langsung terhadap kinerja pegawai. Hasil uji mediasi diperoleh temuan bahwa kepuasan kerja dapat memediasi pengaruh gaya kepemimpinan dan motivasi kerja terhadap kinerja pegawai pada Kantor Dinas Kependudukan dan Pencatatan Sipil Provinsi Sulawesi Selatan. The problem in this research is whether leadership style and work motivation influence job satisfaction and employee performance, as well as whether leadership style and work motivation influence employee performance through job satisfaction at the Population and Civil Registration Service of South Sulawesi Province. To answer the problem formulation, the aim of this research is to analyze the influence of leadership style and work motivation on job satisfaction and employee performance, as well as analyze the influence of leadership style and work motivation on employee performance through job satisfaction at the Population and Civil Registration Service of South Sulawesi Province. This research uses a quantitative approach, collecting data through observation and questionnaires, with data analysis techniques using the Partial Least Square (PLS) method version 3.0. The results of the research found that leadership style has a direct effect on job satisfaction, work motivation has a direct effect on job satisfaction, leadership style has a direct effect on employee performance, work motivation has a direct effect on employee performance, job satisfaction has a direct effect on employee performance. The results of the mediation test found that job satisfaction can mediate the influence of leadership style and work motivation on employee performance at the Population and Civil Registration Office of South Sulawesi Province.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0230.002

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 head0.014
GPT teacher head0.261
Teacher spread0.247 · 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
Published2025
Admission routes1
Has abstractyes

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