Pengembangan Sistem Informasi Produksi pada Nikko Bakery
Bibliographic record
Abstract
Nikko Bakery merupakan perusahaan produksi roti yang berawal dari industri rumahan yang menggunakan sistem konvensional dalam kegiatan produksi sehari-hari. Seiring berjalannya waktu, peningkatan kapasitas produksi menyebabkan informasi ketersediaan bahan baku merupakan hal yang harus diperhatikan untuk peningkatan efisiensi dan mencegah kekurangan bahan baku. Aplikasi ini dapat menghasilkan informasi terkait perencanaan produksi yang akan membantu kegiatan produksi seperti Bill of Material (BOM) menghasilkan informasi penggunaan bahan baku agar tidak terjadinya pemborosan bahan baku, peringatan akan stok bahan baku yang sudah sampai batas minimum yang berguna dalam menghemat waktu produksi, pembuatan work order yang akan memudahkan bagian produksi dalam memastikan barang apa saja yang akan diproduksi, pembuatan pesanan yang berfungsi untuk menampung seluruh pesanan pelanggan, pembuatan list customer dan supplier yang berfungsi untuk menyimpan seluruh data customer maupun supplier, serta laporan pendukung lainnya.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.070 | 0.041 |
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".