AUDIT SISTEM INFORMASI PADA KLINIK PRATAMA ARAFAH MENGGUNAKAN FRAMEWORK COBIT 5
Bibliographic record
Abstract
Audit sistem informasi memiliki peran penting dalam memastikan bahwa pengelolaan ini bertujuan ingin memastikan sistem informasi oprasional berjalan lancar dan menganalilis sistem yang sering mengalami gangguan di Klinik Pratama Arafah,Sawit Sebrang ,dengan menggunakan framework COBIT 5.Metode penelitian ini mencakup analilis terhadap proses teknologi informasi yang relevan dengan domain Align,Plan,and Organize(APO) serta Deliver, Server,and Support(DSS) dari COBIT 5.Pengumpulan data dilakukan melalui wawancara,obsevasi,kuesioner ,dan studi literatur.Hasil audit menjukkan bahwa tingkat kemampuan proses sistem informasi klinik berada pada level 3(Defined Process),yang mencerminkan bahwa proses telah terstruktur dengan baik,tetapi belum sepenuhnya terintegrasi dan dioptimalkan.Beberapa area berbaikan yang diidentifikasi meliputi manajemen resiko IT dan penggelolaan layanan pengguna.Rekomendasi diberikan untuk meningkatkan tata kelola TI menuju level kapabilitas yang lebih tinggi,seseusi dengan standar COBIT 5.Penelitian ini bertujuan untuk memberikan panduan strategis bagi klinik Pratama Arafah dalam mengoptimalkan pemanfaatan sistem informasi guna mendukung layanan kesehatan yang lebih efektif dan efesien.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.011 |
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".