Prioritizing regional development strategies of free trade zone (FTZ) using the analytical hierarchy process (AHP) approach: A case study of Batam, Bintan, and Karimun (BBK), Riau islands province, Indonesia
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.
Bibliographic record
Abstract
In Indonesia, creating growth centres, such as the Free Trade Zone (FTZ), is a strategy for regional development to stimulate economic expansion. The location of the FTZ of the Batam, Bintan, Karimun (BBK) area has been chosen strategically near Singapore and Malaysia. As a recognized national strategic area, the BBK area demonstrates substantial potential to augment the advancement of the national economy. This research employs the Analytic Hierarchy Process (AHP) to examine programs to prioritize strategies for advancing regional development. AHP has been demonstrated to facilitate the structuring of problems, identifying common opinions among respondents, and formulating solutions. The findings indicate that land preparation and permits are priority initiatives (0.122), followed by institutional reinforcement (0,111) and simplified requirements (0,071). As an archipelago, the enhancement of basic Infrastructure is also essential (0.052), mainly to improve connectivity. The next priority should be to improve the quality of human resources (0,051), fostering a favourable environment for investment. The outcomes of this investigation are expected to enrich the corpus of regional studies literature and provide valuable insights in assessing the efficacy of FTZ policies.
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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 | 0.002 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it