KONSEP PENGEMBANGAN AKTIVITAS PERDAGANGAN INFORMAL PADA KAWASAN ALUN-ALUN GRESIK
Bibliographic record
Abstract
Pedagang Kaki Lima merupakan salah satu sektor informal perdagangan dan jasa yang tumbuh untuk memenuhi kebutuhan ekonomi. Masalah perkotaan akibat adanya PKL terjadi di Alun-Alun Gresik meliputi belum tersedianya peraturan daerah yang khusus dalam mengatur arahan lokasi PKL di Alun-Alun Gresik, kesemrawutan pola berjualan yang tersebar dan tidak teratur, kurang tersedianya infrastruktur penunjang bagi pengunjung, dan PKL yang tidak memiliki Surat Izin Menempati semakin bertambah. Tujuan Penelitian ini adalah untuk mengetahui karakteristik dan infrastruktur penunjang PKL serta merekomendasikan konsep pengembangan PKL di Alun-Alun Gresik. Metode analisis yang digunakan ialah Analisis Statistik Deskriptif, Importance Performance Analysis dan Analytical Hierarchy Process. Konsep pengembangan PKL di Alun-Alun Gresik didasarkan pada perhitungan analisis IPA dengan AHP, sehingga urutan variabel yang perlu dikembangkan ialah infrastruktur penunjang, kenyamanan, karakteristik PKL, dan kemudahan aksesibilitas. Prioritas pengembangan variable infrastruktur penunjang terdiri dari sub variabel ketersediaan air bersih (X2.2), tempat parkir (X2.5) dan drainase (X2.1).
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".