Perencanaan Strategis Sistem Informasi untuk Mendukung Mutu dan Produktif ( Studi Kasus: PT. Mitrametal Perkasa )
Bibliographic record
Abstract
Abstrak Saat ini kemajuan Teknologi Informasi bukan sesuatu hal yang asing bagi segala aspek kehidupan manusia. Terutama dalam bidang perusahaan yang pastinya mengharuskan penggunaan sebuah teknologi demi kelangsungan bisnis perusahaannya. Untuk itu suatu perusahaan mau tidak mau harus bersaing dalam memperbaiki proses bisnisnya, baik dalam segi sumber daya maupun strategis bisnis. Perusahaan harus melibatkan teknologi ini untuk mengolah seluruh sumber daya yang ada diperusahaan guna mendapatkan kinerja produktivitas baik dari segi pelayanan maupun hasil produksi. Adapun metodologi yang digunakan dalam penelitian ini adalah metode Ward And Peppard, yang mempunyai konsep terdiri dari tahapan masukan dan tahapan keluaran serta hasil akhir yaitu sebuah portofolio aplikasi pada masa yang akan datang Kata Kunci : Teknologi Informasi, Metodologi, Ward And Peppard,
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.048 | 0.015 |
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".