The Virtual Tour Panorama as a Guide and Education Media of the Historic Objects at Datu Luwu Palace
Bibliographic record
Abstract
Datu Luwu Palace is one of the cultural tourist destinations located in Palopo City, South Sulawesi in which there are various kinds of historical objects.Datu Luwu Palace is not always open in general and the visiting hours are uncertain making people who want to visit feel lazy because of uncertainty.So, a system is needed that can help tourists make visits and facilitate the work of the manager of the Datu Luwu Palace.The purpose of this study is to design and implement a system that can help tourists to know about historical objects virtually while making it easier for managers to introduce and educate them about historical objects.This data was obtained through Field Research and Library Research.The System Development Method used is the MDLC (Multimedia Development Life Cycle) method and for testing this system using the Questionnaire method.The results of this study show that this research can produce a system application that facilitates the performance of the manager and helps tourists see historical objects through virtual tours.The feasibility test results from the implementation of the system that has been made show results that are "very feasible" to use, obtained from the results of the average percentage of Expert and Tourist respondents, which is 86.70%.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.038 | 0.005 |
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".