LKP : Manual Operational Raymark Expert 7 \nPoint Of Sales Levi’s Factory Outlet Bogor Version 2.0
Bibliographic record
Abstract
Raymark Expert Store adalah sistem yang digunakan oleh seluruh store Levi’s di dunia untuk melakukan transaksi penjualan, pembelian, return dan inventory pada masing-masing store di indonesia. Raymark tersebut adalah sistem yang dirancang oleh perusahaaan Levi Strauss & CO (Asia Pasific Division) yang berpusat untuk wilayah asia adalah singapura. Sedangkan untuk wilayah pasifik adalah canada. \nPermasalahan dari tugas akhir ini adalah bagaimana membuat sistem yang telah ada untuk dimengerti oleh setiap SA(sales advisor/penjaga store) dalam menjalankan dan mengatasi masalah yang terjadi dalam penjualan, pembelian dan inventory. Sedangkan untuk manual operational raymark expert 7 point of sales yang digunakan disini adalah bahasa inggris dan untuk itu perlunya dibuat manual operational dalam bentuk bahasa Indonesia agar mudah dimengerti dan meminimalis kesalahan yang terjadi apabila terjadi kesalahan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.619 | 0.609 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".