Development of a Web-Based Entrance Examination System to Increase the Efficiency and Accuracy of New Student Selection at the STMIK Kaputama Campus
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
This research aims to develop a web-based entrance examination system so that the new student selection process at STMIK Kaputama becomes more efficient and accurate. This system is designed to replace traditional methods that often require a lot of time, paper and are prone to human error. System development involves literature analysis, creating interface mockups, drawing business process userflow, and creating entity-relationship diagrams (ERD) for optimal database management. This system allows prospective students to take exams online with results that can be processed and displayed in real-time. The results of this research include design documents, user guides, comprehensive final research reports, as well as the publication of scientific articles in journals discussing the development of information systems and educational technology. With this system, it is hoped that the campus can manage the new student selection process more efficiently, accurately and transparently.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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