EVALUATION OF COMPUTER LABORATORY FACILITIES AND INFRASTRUCTURE IN THE PROGRAM AND COMPUTER NETWORK ENGINEERING EXPERTISE IN SMK NEGERI 2 DEPOK
Bibliographic record
Abstract
This study aims to determine the suitability of facilities and infrastructure in the computer lab Skill Program Computer and Network Engineering at SMK Negeri 2 Depok in accordance with standards required by the Canadian Minister of National Education Republic of Indonesia No. 40 of 2008 and to determine the suitability of the quality of computer equipment used in computer labs on Skill Program Computer and Network Engineering at SMK Negeri 2 Depok based on the standard of SEAMOLEC. This research is descriptive research that provides a picture or a description of a state as clearly as possible without any treatment of the studied object. Subjects were computer labs on Skill Program Computer and Network Engineering at SMK Negeri 2 Depok. The object of this research is the level of achievement for the facilities and infrastructure in the computer lab, computer lab space that is land, in the computer lab furniture, educational equipment in the computer lab space, and computer hardware specifications. Data collection by observation. Analysis using quantitative descriptive statistical techniques to the presentation of data through tables, graphs, and calculating percentages. The result showed Aspects of land that the computer room to get a percentage 79.18% is in good criteria, on aspects of the computer lab furniture in the room get a percentage of 87.5% is in very good criteria for the equipment while on aspects of education get a percentage of 78.88% is in good criteria. It can be concluded that the level of achievement for the standard of facilities and infrastructure at the computer lab of SMK N 2 Depok is in conformity with the standards Permendiknas Republic of. 40 of 2008, but still need improvement in some sectors, namely the need for additional computer lab space width, additional storage space and repair, the addition ratio of space / learners, the need for the procurement board in the computer laboratory, the need to supply a web server and addition of stabilizer in the computer lab. While the quality of computer equipment has a percentage achievement of 100%, which means that is in conformity with minimum standards of computer hardware specifications required by SEAMOLEC.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".