STRATEGI PEMBANGUNAN INDUSTRI PERTAHANAN PADA NEGARA KEPULAUAN GUNA MENDUKUNG PERTAHANAN NEGARA
Bibliographic record
Abstract
Indonesia merupakan negara kepulauan yang memiliki banyak potensi sumber daya. Potensi sumber daya nasional dapat digunakan untuk pembangunan ekonomi, salah satunya pembangunan industri pertahanan. Pembangunan industri pertahanan bukan hanya untuk kebutuhan alat pertahanan namun, juga dapat membantu masyarakat dalam roda perekonomian. Dalam mencapai tujuan negara optimalisasi negara kepulauan maka, perlu adanya perbaikan sistem yang mengarah pada kebijakan, dimana dalam penataan kebijakan diperlukan tahapan manjemen yaitu perencanaan (plan), pelaksanaan (do /action), dan penilaian hasil (evaluate). Kebijakan dilaksankan dengan menggunakan sumber daya nasional Permasalahan yang dihadapi untuk pembangunan industri pertahanan adalah belum optimalnya beberapa aspek sperti SDM, Teknologi, Kebijakan dll, sehingga penerapan strategi untuk industri pertahanan belum mampu mecapai kata ideal. Tujuan penulisan ini untuk mengilustratsikan strategi terbaik sehingga peran seluruh pemangku kepentingan dapat berjalan secara optimal.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.007 |
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".