Aplikasi Database Untuk Mengelola Persediaan Barang di Toko Baju D’Clothing Menggunakan Pendekatan Entity Relationship Chart
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
D’Clothing store is one of the clothing stores located in Bogor that provides many choices for various ages, both women and men. Based on the interviews, D'Clothing store had some troubles in product management, starting from inventory data, suppliers data, sales data, et cetera. To overcome this problem, a new system is needed to facilitate management by utilizing technological products, which as creating a database. The output of this database is to make a form containing the name, stock, color, size, code, and price of the goods. In its preparation, there are several obstacles such as data being out of sync between the main table and other tables when building a relationship. After being analyzed, this issue happens due to the wrong placement of the primary key and records between tables. Another error is found in the placement of the formula when building the Query design. Therefore, it takes precision and logic to find a way out.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it