SISTEM INFORMASI PEMESANAN DAN PERSEDIAAN BARANG BERBASIS WEB PADA PT. ALFA SCORPII BINJAI
Bibliographic record
Abstract
Digital technology is growing very fast, so that various kinds of information can be obtained and processed easily and quickly. Many companies take advantage of these opportunities by implementing the use of information technology in their business processes, which of course will increase the company's competitive advantage, effectiveness and efficiency. The company can also function as a media for product promotion owned by PT. Alfa Scorpii Binjai Branch and can make it easier for consumers to choose and order the desired goods without having to bother coming directly to the place, with the help of a gadget / smartphone they can access the official website that will be issued by PT. Alfa Scorpii with ease. And not only that, on the one hand, an internet application can also design a corporate identity with an infinite area coverage. Thus at PT. Alfa Scorpii currently has a highly digitalized system in promoting and making digital services to customers so as to minimize ordering time and maximize the performance of PT. Alpha Scorpii
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.055 | 0.048 |
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".