Pengaruh Nilai-Nilai Kearifan Lokal Terhadap Kinerja Pegawai Di Kantor Dinas Kependudukan Dan Catatan Sipil Kabupaten Bulukumba
Bibliographic record
Abstract
This research aimed to determine the influential value to the performance of employees. The type of research was quantitative descriptive. The population and sample used saturated sample technique so the sample in this research were 93 people. ((The data and documentation and developed by interviewing respondents)). The data collection was done by distributing questionnaires to respondents. The analysis tools used simple regression. The results of the research showed that the value of local wisdom has a positive and insignificant effect. This is evidenced by the results of the regression value of positive 0.089 with a significant level of 0.592 greater than 0.05. This results is reinforced by the results of the determination coefficient test of 0.073 or 7.3% of the contribution of the value of local wisdom to the performance of employees in the population service office and civil enumeration in Bulukumba Regency. While 92.7% was influenced by other factors that were not examined in this research.Key word: Nilai-Nilai Kearifan Lokal, Kinerja Pegawai ABSTRAKPenelitian ini bertujuan untuk mengetahui nilai-nilai berpengaruh terhadap kinerja pegawai. Jenis penelitian adalah deskriptif kuantitatif. Popolasi dan sampel menggunakan teknik sampel jenuh, sehingga sampel pada penelitian ini sebanyak 93 orang. Data dan dokumentasi serta dikembangkan dengan wawancara terhadap responden. Pengumpulan data dilakukan dengan menyebarkan kuesioner kepada responden. Alat analisis menggunakan Regresi Sedehana. Hasil penelitian menunjukkan nilai kearifan lokal berpengaruh secara positif dan tidak signifikan”. Hal ini dibuktikan dengan hasil nilai regresi sebesar positif 0,089 dengan tingkat signifikan 0,592 lebih besar dari 0,05. Hasil ini diperkuat dengan hasil uji kofisien determinasi sebesar 0,073 atau 7,3 % kontribusi nilai kearifan lokal terhadap kinerja pegawai di Kantor Dinas Kependudukan dan Pencatatan Sipil Kabupaten Bulukumba. Sedangkan 92,7 % dipengaruhi oleh faktor lain yang tidak diteliti pada penelitian kali ini. Kata Kunci: Nilai-Nilai Kearifan Lokal, Kinerja Pegawai
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".