PENERAPAN SISTEM APLIKASI PEMBELAJARAN PENGENALAN DASAR JARINGAN KOMPUTER TINGKAT SEKOLAH MENENGAH KEJURUAN BERBASIS MULTIMEDIA PADA SMK SWAKARYA BINJAI UNTUK MENINGKATKAN KOMPETENSI LULUSAN
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
Basically the science of computer not only utilized for computing, which at this point has many created a variety of highly sophisticated technological innovation with the help of a computer. Be it in terms of multimedia support from a wide range of areas such as presentations, educational tool to entertainment Earth. The application of learning basic introduction to computer networks, created on the basis of its specific needs in the field of learning computer. Based on the author's observations about system analysis that goes about learning, then it is known that very few applications are themed learning about basic introduction to computer networking. Build applications using macromedia flash 8 learning can facilitate teachers in menyampaiakan material particularly material about a basic introduction to computer networking. The students will feel more comfortable and effective in following lessons, and the students will more readily understand and add to knowledge.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.053 |
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