Model Strategi Prospektif Kinerja Manajemen di Perusahaan Tour & Travel
Bibliographic record
Abstract
This study aimed to build a prospective management model of sustainable tour packages in PT. Golden Rama Express. Given the complexity and the many interrelated factors in the performance management packagetours, it is necessary to approach a holistic system. First, the method used in developing the performance management model is a sustainable package tour and, second, using prospective analysis. Determination of the attributes that reflect the sustainability performance of the tour package is based on field studies. Based on the four dimensions of sustainability, namely the dimensions before the trip, during trip, etc., and the tour leader aredetermined as much as 23 attributes. Attributes in four dimensions for each package tour Junglelicious Africa, Asia Splendid, Adventurous Australia and New Zealand, Europe Romantical and Marvelous the U.S. and Canada. After obtained the level of sustainability index values of each dimension that can be categorized into the not sustainable until very sustainable values of the index, combination of these factors forms the basis of development models.. Based on the scenario that was built and in order to achieve the ideal scenario is the recommended scenario is the optimistic scenario.
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 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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".