Peningkatan Kompetensi SMK dengan Keterampilan Computer Aided Design
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
Human capitals in the computer field are required in the Industrial Era 4.0. Vocational schools (SMK) are aimed to produce graduates who are ready-to-use to work in industries. However, SMK graduates are one of the major contributors to high unemployment in Indonesia. Teachers with skills in the field of computer technology are scarce. In addition, the facilities and infrastructure are limited in many SMK schools, especially in rural areas. This community service activity was carried out at SMK Muhammadiyah Tirtayasa. The school is located in the northern coastal rural area of Serang Regency. This community service activity provided assistance to Computer Aided Design (CAD) skills by targeting teachers and students. CAD skills can provide skills for vocational graduates who will have careers in industry. The result showed an increase in the skills of participants in the field of 2D/3D CAD drawing. The activity was very fruitful and can be further followed up by both expanding the partner schools or integrating school curriculum which adopts CAD skills with the aim of developing further the CAD 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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