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Record W1587543870

EVALUATION OF COMPUTER LABORATORY FACILITIES AND INFRASTRUCTURE IN THE PROGRAM AND COMPUTER NETWORK ENGINEERING EXPERTISE IN SMK NEGERI 2 DEPOK

2011· dissertation· en· W1587543870 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldComputer Science
TopicIoT-based Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsComputer labNetwork engineeringComputer sciencePresentation (obstetrics)EngineeringTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.895

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.230
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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