Rancangan E-Commerce Pada Perusahaan Planet Komputer Jambi
Bibliographic record
Abstract
Penjualan dan promosi pada Planet Komputer Jambi belum efektif dan efisien karena penjualan yang dilakukan ruang lingkup masih terbatas dan promosi yang dilakukan masih membutuhkan biaya yang cukup besar. Hal ini yang membuat penulis ingin melakukan penelitian pada Planet Komputer Jambi guna mempelajari sistem penjualan dan promosi yang ada. Metode penelitian yang dilakukan dengan menggunakan penelitian lapangan, penelitian perpustakaan dan dokumentasi. Penelitian ini menghasilkan rancangan sebuah aplikasi E-Commerce dengan menggunakan Macromedia Dreameaver 8, bahasa pemrograman PHP, jQuery dan database MySQL. Penelitian ini merupakan penelitian permulaan, sehingga masih diperlukan penelitian lebih lanjut agar penelitian ini lebih baik dari sebelumnya.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.060 | 0.022 |
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".