STRATEGI PENGEMBANGAN UMKM DI KABUPATEN SIDOARJO UNTUK MENDUKUNG INDONESIA EMAS 2045
Bibliographic record
Abstract
Usaha Mikro, Kecil, dan Menengah (UMKM) merupakan pilar strategis pembangunan ekonomi lokal dan nasional, terutama dalam mewujudkan visi Indonesia Emas 2045. Kabupaten Sidoarjo sebagai daerah penyangga ekonomi di Jawa Timur memiliki potensi besar dalam pengembangan UMKM. Makalah ini bertujuan untuk menelaah berbagai kebijakan yang telah diterbitkan oleh pemerintah pusat dan daerah dalam rangka pemberdayaan UMKM di Sidoarjo. Metode makalah ini menggunakan pendekatan literatur kebijakan berbasis dokumen resmi, mencakup Peraturan Bupati, Peraturan Daerah, Peraturan Menteri, Undang-Undang, hingga Peraturan Presiden. Hasil telaah menunjukkan bahwa terdapat sejumlah regulasi yang mendukung ekosistem UMKM di Sidoarjo, antara lain dalam aspek akses permodalan, pendampingan usaha, digitalisasi, penataan usaha informal, hingga pemberdayaan usaha perempuan. Namun demikian, implementasi kebijakan belum sepenuhnya terintegrasi secara lintas sektor dan berorientasi jangka panjang. Simpulan dari studi ini menekankan pentingnya harmonisasi kebijakan pusat-daerah, penguatan kelembagaan, serta inovasi kebijakan berbasis data untuk mendukung akselerasi transformasi UMKM menuju Indonesia Emas 2045.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.007 |
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".