Perancangan Basis Data dan Layanan Akses Berbasis Service Oriented Architecture (SOA) Untuk Dinas Kesehatan Kabupaten Sleman
Bibliographic record
Abstract
Abstract. Database Design and Service Oriented Architecture (SOA)-based Access Service for Health Center Transactional Data on Health Office of Sleman District. Health Office of Sleman District is the regional institution that is responsible for organizing health services in the area of Sleman District. In performing these duties and responsibilities, Health Office of Sleman District requires health data and information that is accurate, precise and quick to assist policy decision making process and the health sector by leveraging communication and information technology. This research aims to design a database and SOA-based access service for transactional data center on Health Office of Sleman District. Expected, the results of this research can help Health Office of Sleman District in monitoring public health and to establish interoperability with systems from agencies or other institution.Keywords: Health Office of Sleman District, database, SOA, web service.Abstrak. Dinas Kesehatan Kabupaten Sleman adalah lembaga regional yang bertanggung jawab untuk mengatur pelayanan kesehatan di wilayah Kabupaten Sleman. Dalam melaksanakan tugas dan tanggung jawabnya, Dinas Kesehatan Kabupaten Sleman memerlukan data kesehatan dan informasi yang akurat, tepat dan cepat untuk membantu proses pengambilan keputusan kebijakan dan sektor kesehatan dengan memanfaatkan teknologi komunikasi dan informasi. Penelitian ini bertujuan untuk merancang sebuah basis data dan layanan akses berbasis SOA untuk pusat data transaksional pada Dinas Kesehatan Kabupaten Sleman. Diharapkan, hasil penelitian ini dapat membantu Dinas Kesehatan Kabupaten Sleman dalam memantau kesehatan masyarakat dan untuk membangun interoperabilitas dengan sistem dari instansi atau lembaga lain.Kata kunci: Dinas Kesehatan Kabupaten Sleman, basis data, SOA, layanan web.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".