Affordable and Sustainable Government-Subsidized Housing Development in Aceh Besar Regency
Bibliographic record
Abstract
The provision of livable housing through the Public Housing Credit (KPR) financing scheme is the Indonesian government's way of meeting the housing needs of the lower middle class.However, the program needs further attention and evaluation, especially concerning the fulfillment of affordability and sustainability aspects.This research was conducted in Aceh Besar Regency using a mixed methods approach.Primary data was obtained through a survey that managed to collect 83 respondents.Then, statistical data analysis is supported by secondary scientific data, especially from books and journals published in the last ten years.The 20 criteria from Mulliner and Maliene, which describe ideal housing conditions that are affordable and sustainable, are used as measuring tools.The study results show that the housing area meets the affordable aspect.Meanwhile, for the sustainability aspect, there are still three indicators whose impact has not been satisfactory: access to public transport, waste management, and deprivation in the area.This research is expected to provide new insights for the government and housing developers in building community residential areas, namely by not only focusing on affordable aspects but also being able to integrate them with sustainable aspects.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".