ANALISIS PENGARUH UPAH MINIMUM KABUPATEN/KOTA TERHADAP HARGA PROPERTI RESIDENSIAL TIPE KECIL
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengidentifikasi pengaruh perubahan Upah Minimum Kabupaten/Kota (UMK) terhadap harga properti residensial tipe kecil secara empiris. Studi ini dilatarbelakangi oleh kekhawatiran bahwa peningkatan daya beli akibat kenaikan UMK dapat mendorong kenaikan harga properti, khususnya untuk rumah tipe kecil yang menjadi sasaran kelompok berpenghasilan rendah. Penelitian ini menggunakan model fixed-effect dengan data panel dari 16 kota besar di Indonesia selama periode 2016–2022, serta sejumlah variabel kontrol seperti PDRB konstruksi, PDRB ADHK, tingkat pengangguran, dan realisasi FLPP. Hasil estimasi menunjukkan bahwa kenaikan UMK tidak berpengaruh signifikan terhadap harga properti residensial tipe kecil. Temuan ini memiliki implikasi penting terhadap kebijakan perumahan dan pengupahan, bahwa peningkatan UMK tidak serta-merta memicu lonjakan harga properti. Studi ini memperkuat literatur mengenai hubungan antara kebijakan ekonomi makro dan dinamika harga properti di Indonesia.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".