SISTEM INFORMASI PARIWISATA KABUPATEN KARANGANYAR BERBASIS WEBSITE
Bibliographic record
Abstract
Sistem Informasi Pariwisata Kabupaten Karanganyar Berbasis Web digunakan sebagai alat bantu dalam penyampaian informasi kawasan wisata yang ada di Kabupaten Karanganyar kepada masyarakat yang ingin mengetahui daerah-daerah pariwisata yang ada di Karanganyar. Sistem Informasi Pariwisata Kabupaten Karanganyar Berbasis Website merupakan salah satu bentuk promosi pariwisata daerah yang ada di Kabupaten Karanganyar, agar menarik para wisatawan untuk berkunjung ke Kabupaten Karanganyar. Penelitian ini diharapkan dapat bermanfaat sebagai media informasi dan promosi potensi wisata yang ada di Kabupaten Karanganyar, sehingga masyarakat akan lebih mengenal tempat-tempat pariwisata daerah yang ada di Kabupaten Karanganyar. Semakin banyak wisatawan yang berkunjung maka pendapatan daerah dan masyarakat sekitarnya akan mengalami peningkatan. Metode penelitian yang dilakukan antara lain melalui observasi langsung, Studi Pustaka yang berhubungan dengan masalah yang diangkat. Sistem Informasi Pariwisata Kabupaten Karanganyar Berbasis Web dibuat dengan menggunakan WordPress dengan Bahasa PHP dengan database MYSQL. Kata kunci : Sistem Informasi Pariwisata Kabupaten Karanganyar Berbasis Website
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.084 | 0.044 |
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".