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Record W4285486278 · doi:10.56357/jt.v16i2.235

SISTEM INFORMASI PARIWISATA KABUPATEN KARANGANYAR BERBASIS WEBSITE

2021· article· id· W4285486278 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTRANSFORMASI · 2021
Typearticle
Languageid
FieldComputer Science
TopicInformation Retrieval and Data Mining
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.006
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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.

Opus teacher head0.023
GPT teacher head0.234
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it