Feasibility Study of Housing Project Investment in Batam Center
Bibliographic record
Abstract
With population growth, the need for housing as a living space continues to grow in both urban and rural areas. An individual's housing needs vary according to personal and financial circumstances. Before starting construction, a feasibility study should be conducted. The purpose of the analysis is to positively and negatively assess the feasibility of the project in all aspects such as customer satisfaction, expectations and requirement assessment. The analysis is carried out after collecting data, such as plan drawings, budget, and cash flow plans. The feasibility analysis in this report is seen from the technical and financial aspects. In the aspect of technical feasibility seen from the value of KDB and KLB. In terms of financial feasibility seen from the NPV, IRR, PI, and PP value. The KDB value is 42.43% < 60% and the KLB value is 60% £ 60%, with a positive NPV of IDR 31,221,998,389.25, an IRR of 22.41% where the NPV value is zero, PP 2 years < 5 years investment period, and PI 1.22 > 1, it can be said that this project is feasible in technical and financial aspects.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".