PENGEMBANGAN PROTOTIPE EXECUTIVE DASHBOARD PADA LEMBAGA PENGELOLA DANA CSR (CORPORATE SOCIAL RESPONSIBILITY)
Bibliographic record
Abstract
Pengembangan prototipe executive dashboard pada lembaga pengelola dana CSR merupakan penelitian yang dilakukan dalam rangka mengimplementasikan sebuah sistem executive dashboard yang dapat membantu manajemen lembaga pengelola dana CSR dalam mengambil keputusan. Penelitian ini dilakukan di CCSR (Cilegon Corporate Social Responsibility). Pada saat ini CCSR belum memiliki sistem dashboard. Pembangunan executive dashboard dibangun berdasarkan model pengembangan dashboard berbasis user centered design dengan menggunakan model prototipe berbasis OOAD (Object-oriented analysis and design). Prototipe diuji dengan menggunakan pengujian ISO 9126. Hasil dari penelitian ini adalah sebuah prototipe executive dashboard arsip digital yang dapat dijadikan sebagai salah satu referensi pimpinan lembaga CSR dalam mengambil keputusan.
 
 Kata Kunci: CSR, CCSR, Dashboard, ISO 9126
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.050 | 0.017 |
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".