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Record W4412140577 · doi:10.31004/joecy.v5i2.1169

Kebijakan Penataan Dan Pemberdayaan Pedagang Kaki Lima (Pkl) Di Kota Medan: Menuju Ruang Kota Yang Inklusif Dan Berdaya

2025· article· id· W4412140577 on OpenAlexaff
Deny Siregar

Bibliographic record

VenueJournal of Innovative and Creativity (Joecy) · 2025
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Pedagang Kaki Lima (PKL) merupakan komponen vital dalam perekonomian lokal Kota Medan dengan jumlah mencapai 18.900 PKL yang tersebar di 21 kecamatan. Keberadaan PKL memberikan kontribusi signifikan terhadap pemenuhan kebutuhan masyarakat dan penciptaan lapangan kerja informal. Namun, ketidakteraturan dalam penataan lokasi berjualan dan minimnya regulasi yang berpihak sering menimbulkan konflik sosial dan tata ruang. Peraturan Daerah Kota Medan no. 5 Tahun 2022 tentang zonasi Pedagang Kaki Lima (PKL) merupakan kebijakan zonasi bagi PKL di Kota Medan sebagai upaya pengaturan lokasi usaha PKL melalui pembagian zona merah, kuning, dan hijau serta mekanisme pengawasan terpadu (Bappeda, 2021). Namun dalam penerapannya peraturan ini belum terimplementasi dengan optimal sehingga masih banyak PKL beroperasi tanpa izin resmi, yang berdampak pada ketidakteraturannya kota dan potensi gesekan dengan aparat.. Minimnya regulasi yang adil dan berpihak kepada PKL dalam penataan dan perlindungan menyebabkan banyak PKL beroperasi di ruang publik tanpa izin resmi. Dukungan kebijakan terhadap PKL melalui rencana aksi diharapkan dapat diupayakan untuk memberikan ruang legal bagi PKL untuk berusaha tanpa mengorbankan ketertiban kota. Makalah ini bertujuan untuk menyusun rekomendasi kebijakan pada penataan PKL meliputi penyusunan regulasi teknis, pembentukan kelembagaan pengelola, sosialisasi dan partisipasi publik, serta mekanisme pengawasan berbasis teknologi. Diharapkan kebijakan ini dapat menciptakan keteraturan tata ruang yang inklusif serta meningkatkan kesejahteraan PKL secara berkelanjutan, sejalan dengan visi pembangunan Kota Medan.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0410.009

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.

Opus teacher head0.021
GPT teacher head0.324
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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