Perancangan Arsitektur Enterprise Perguruan Tinggi Menggunakan Togaf Adm
Bibliographic record
Abstract
Penelitian ini dilakukan menggunakan Metodologi The Open Group Architecture Framework Development Method (TOGAF ADM) dan dalam proses penelitian dibatasi sesuai yang ada pada proses bisnis utama berdasarkan pemetaan menggunakan value chain dengan sampel penelitian pada salah satu lembaga pendidikan tinggi swasta di Provinsi Maluku Utara. Tujuan dari penelitian ini adalah untuk merancang arsitektur enterprise pada perguruan tinggi. Penelitian ini dapat meningkatkan performa dan kualitas pelayanan kepada pihak eksternal maupun internal organisasi. Penelitian ini juga menghasilkan sebuah blueprint arsitektur sistem informasi berupa kandidat-kandidat aplikasi untuk setiap sub organisasi yang disusun berdasarkan tingkat prioritas kebutuhan sehingga dalam implementasi lebih terukur, tersistematis dan tidak mengganggu kinerja sistem informasi baik yang sudah ada maupun sedang dibangun.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 teacher head, 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".