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Record W4391452190 · doi:10.47134/jtsi.v1i1.2143

Katalog Digital Bangunan Komersial Sebagai Media Promosi Berbasis Augmented Reality

2024· article· en· W4391452190 on OpenAlexaff
Rohman Dijaya, Dimas Radito Hibatullah Putra, Ade Eviyanti, Cindy Taurusta

Bibliographic record

VenueJournal of Technology and System Information · 2024
Typearticle
Languageen
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Many building promotion techniques use building miniatures, but this media is less interactive. Augmented reality is a technology that allows interaction between the real and virtual worlds. To assist promotional activities, it is necessary to develop commercial building promotional media using the application " Digital Catalog of Commercial Buildings Based on Augmented Reality as Promotional Media". Building objects are made in three dimensions and visualized through augmented reality technology. The purpose of developing this application is as a medium or tool to facilitate the communication process with customers. Application development uses the Multimedia Development Life Cycle method and has been successfully operated on several devices with the Android operating system. From the results of black-box and feasibility testing, the application gets good results and has a score of 913 out of 1000 or 91.3% percentage of eligibility.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.134
Threshold uncertainty score0.448

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1340.047

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 head0.007
GPT teacher head0.219
Teacher spread0.212 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreSoftware

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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