Sustainability Index Mapping for Green Building of Vertical Housing in Ibu Kota Nusantara (IKN) Using the Multidimensional Scaling (MDS) Approach
Bibliographic record
Abstract
The study aims to assess the sustainability status of green buildings for vertical housing in Ibu Kota Nusantara (IKN).It responds to growing environmental, social, economic, infrastructure, and institutional challenges driven by rapid urban development.Using the Multidimensional Scaling (MDS) approach, combined with Monte Carlo simulations, the research evaluates five key dimensions of sustainability: environment, economy, social, infrastructure, and institution.Data were collected from expert respondents through purposive sampling and analyzed using leverage and stress value validation.The findings reveal that the vertical housing model in IKN falls within the highly sustainable category, with strong performance across all assessed dimensions.The study emphasizes the role of green building practices in supporting smart city goals, reducing carbon emissions, and enhancing urban livability.Results are expected to inform policy decisions and contribute to the formulation of effective sustainability strategies in large-scale urban development.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".