Border tourism behavior in increasing the number of tourist visits in Batam
Bibliographic record
Abstract
Batam City is one of Indonesia's border areas that has great potential as a cross-country tourist destination. This study aims to analyze the behavior of cross-border tourists visiting Batam City, Indonesia, primarily from Singapore and Malaysia. The research focuses on four main variables: motivation, perceived quality, perceived risk, and tourist attitudes. The study employed a quantitative method by distributing questionnaires to 250 respondents across five main entry points: Batam Center Port, Harbour Bay, Sekupang, Waterfront City, and Nongsapura. Data analysis was conducted using cross-tabulation and chi-square tests. The findings revealed that prestige motivation, perceived price quality, health risks, and responsible attitudes were the dominant factors influencing tourist behavior. The implications suggest that local governments and tourism stakeholders should improve service quality and tourism products to enhance Batam’s competitiveness as a safe and attractive cross-border destination.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".