Pengaruh Ekspektasi Pelanggan Dan Kualitas Produk Terhadap Loyalitas Pelanggan Provider Digital by.U Di Surabaya
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui pengaruh ekspektasi pelanggan dan kualitas produk terhadap loyalitas pelanggan layanan internet provider digital by.U di Surabaya. Populasi penelitian ini adalah konsumen yang pernah membeli dan menggunakan provider digital by.U di wilayah Surabaya. Dalam penelitian ini menggunakan sampel yaitu sebanyak 100 responden. Teknik pengambilan sampel yaitu teknik purposive sampling dengan kriteria konsumen usia ± 17 tahun ke atas dan sedang menggunakan provider digital by.u. Teknik analisis data menggunakan analisis regresi linier berganda dengan software SPSS 23. Hasil penelitian ini menunjukkan bahwa ekspektasi pelanggan dan kualitas produk memiliki pengaruh yang positif dan signifikan terhadap loyalitas pelanggan. Dengan faktor yang dominan berpengaruh terhadap loyalitas pelanggan adalah variabel kualitas produk diikuti oleh variabel ekspektasi 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 0.006 |
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".