DAMPAK PENGGUNAAN DIGITALISASI TRANSAKSI PELAYANAN TERHADAP KARYAWAN PADA PT PEGADAIAN CABANG MALANG
Bibliographic record
Abstract
The main purpose of this study was to determine the digital transaction application in serving customers and the impact of the application of Digital Service Procurement for employees of Pegadaian Cabang Malang. The method used in this research is a qualitative approach through interviews with the employees of Pegadaian Cabang Malang. The final results of this study indicate that the use of PDS application in PT. Pegadaian Cabang Malang has been completed. PDS application facilitates service for the customers in conducting various types of transactions and have a positive impact that is able to improve the quality of employee performance and the trust of customers for the services provided. The advice given by researchers for the PT. Pegadaian Cabang Malang is expected to increase the marketing of PDS applications to customers, especially for the younger generation customers who feel the need to use the application.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 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".