Inovasi Layanan Digital Melalui Website Portal Merauke.Go.Id: Studi Implementasi E-Government di Wilayah 3T
Bibliographic record
Abstract
Kajian ini menganalisis peran website pemerintah daerah sebagai media pelayanan informasi publik di Kabupaten Merauke dengan menggunakan teori kualitas website Alvaro Rocha. Penelitian menggunakan pendekatan kualitatif deskriptif melalui wawancara terhadap enam informan kunci dan observasi langsung terhadap website portal.merauke.go.id. Hasil penelitian menunjukkan bahwa website telah berfungsi optimal sebagai media informasi satu arah dengan kualitas konten yang akurat dan lengkap, namun belum efektif sebagai media interaktif. Temuan utama mengungkap tiga tantangan kritis: (1) ketidakkonsistenan dalam pemutakhiran data dasar, (2) belum berkembangnya mekanisme umpan balik yang efektif, dan (3) kualitas teknis yang rendah khususnya pada akses mobile dengan skor PageSpeed Insight hanya 42%. Kajian ini memberikan kontribusi praktis berupa rekomendasi spesifik untuk peningkatan kualitas teknis, penguatan sistem manajemen konten, dan pengembangan mekanisme partisipasi publik. Secara teoritis, penelitian ini mengkonfirmasi relevansi model tiga dimensi Alvaro Rocha dalam konteks e-government daerah dan menyoroti aspek teknis-performa sebagai faktor kritis penentu keberhasilan di daerah dengan karakteristik geografis khusus. Kata Kunci: Website Pemerintah Daerah, Pelayanan Informasi Publik, E-Government, Kualitas Website, Kabupaten Merauke.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.144 | 0.033 |
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".