Implementasi Analisa Persediaan Barang Menggunakan Metode Apriori Pada Percetakan Indah Jaya Berbasis WEB
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
Percetakan adalah sebuah proses industri untuk memproduksi secara massal tulisan dan gambar, terutama dengan tinta di atas kertas menggunakan sebuah mesin cetak. Kegiatan percetakan ini bukan hanya masalah persediaan barang saja, namun menuntut sebuah sistem penempatan kerja yang akan membuat hasil transaksi dan persediaan menjadi lebih tersistematis dan komputerisasi. Dengan menggunakan metode apriori pada percetakan indah jaya berbasis web diharapakan untuk mengetahui persediaan barang di gudang dan mengetahui barang keluar dan masuk pada percetakanindah jaya.dalam perhitungan di dapatkan transaksi yang sering terjadi yaitu amplop dan kertas hvs. Maka dalam transaksi yang akan datanng akan dapat di analisi lebih baik.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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