Pengaruh Kualitas Pelayanan Dan Promosi Terhadap Kepuasan Pelanggan Pada Grapari Telkomsel Binjai
Bibliographic record
Abstract
Penelitian ini bertujuan mengetahui pengaruh kualitas pelayanan dan promosi terhadap kepuasan pelanggan pada Grapari Telkomsel Binjai. Grapari Telkomsel Binjai sebagai pusat layanan produk Telkomsel yang khusus melayani pelanggan Telkomsel di wilayah Binjai. Teknik pengumpulan data melalui penyebaran angket kepada 70 orang sampel. Model analisis data yang digunakan adalah regresi linier berganda dengan menggunakan software SPSS. Nilai koefisien determinasi (r2) diperoleh sebesar 81,5%, hal ini berarti bahwa variabel independen kualitas pelayanan dan promosi mampu menjelaskan pengaruhnya terhadap variabel kepuasan pelanggan sebesar 81,5% sedangkan sisanya merupakan variabel yang tidak terungkap. Hasil penelitian pada tingkat kepercayaan 95% dan test of level 5% menunjukkan secara parsial kualitas pelayanan berpengaruh positif dan signifikan terhadap kepuasan pelanggan, kemudian promosi berpengaruh positif dan signifikan terhadap kepuasan pelanggan. Selanjutnya kualitas pelayanan dan promosi berpengaruh positif dan signifikan secara simultan terhadap kepuasan pelanggan pada Grapari Telkomsel Binjai. Grapari Telkomsel Binjai penting melakukan perbaikan dan mengevaluasi cara berpakaian karyawan agar lebih rapi dan terlihat professional serta evaluasi terhadap iklan yang ditawarkan kepada pelanggan agar sesuai dengan harapan pelanggan.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".