Persepsi Siswa Terhadap Pelayanan Pegawai Tata Usaha di SMK Negeri 1 Kecamatan Guguak Kabupaten Lima Puluh Kota
Bibliographic record
Abstract
Adanya permasalahan yang peneliti temui pada Sekolah Menengah Kejuruan Negri 1 Kec. Guguak Kab. 50 Kota terkait pelayanan pegawai tata usaha yang masih kurang optimal menjadi latar belakang dari penelitian ini, sehingga masih ada siswa yang kurang puas terhadap pelayanan yang diterima oleh siswa tersebut. Penelitian ini bertujuan menggambarkan perception pupils terhadap pegawai administrative dilihat dari aspek transparansi, reliabelitas, responsivitas, dan bukti fisik. Adapun bentuk penelitian ini merupakan deskriptif menggunakan pendekatan quantitatiff. Data dikumpulkan menggunakan quesioner , data dalam penelitian ini menggunakan subjek seluruh siswa/i di Sekolah Menengah Kejuruan Negri 1 Kec. Guguak Penelitian ini menghasilkan bahwa : 1) perception of students pada layanan pegawai TU di SMK Negri 1 Kec. Guguak ditinjau dari aspek transparan sudah baik memiliki skor rata-rata 3,94, 2) persepsi siswa terhadap pelayanan pegawai tata usaha di SMK Negri 1 Kec. Guguak dilihat dari aspek reliabelitas memiliki skor rata-rata 4,18 , 3)persepsi siswa terhadap pelayanan pegawai tata usaha di SMK Negri 1 Kec. Guguak ditinjau dari aspek responsivitas sudah baik memiliki rata-rata 4,20, 4) persepsi siswa terhadap pelayanan pegawai tata usaha di SMK Negri 1 Kec. Guguak ditinjau dari aspek bukti fisik sudah baik memiliki rata-rata 4,13, 5) persepsi siswa terhadap pelayanan pegawai tata usaha di SMK Negri 1 Kec. Guguak Kab. Lima Puluh Kota sudah baik memiliki rata-rata 4,11.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
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".