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Record W4287095759 · doi:10.18280/ijsse.120308

Implementation of Integrated Business Licensing Applications Online with a Risk-Based Approach (OSS-RBA) for Legal Assurance of Business Affairs in Langkat District

2022· article· en· W4287095759 on OpenAlex
Mukidi, Marzuki Marzuki, Nelvitia Purba, Murad Daeng Patiorang, Rudy Pramono, Juliana Juliana

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Safety and Security Engineering · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Analysis in Indonesia
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)BusinessInvestment (military)Agency (philosophy)Legal certaintyBusiness caseService (business)FinancePublic relationsMarketingProcess managementLawPolitical science

Abstract

fetched live from OpenAlex

Implementing Business licensing services for district and city governments has used the OSS application system so far. Still, the reality shows that the results have not demonstrated optimal results both in quality and quantity. However, in line with technological developments that cannot be denied, like it or not, the business community must be able to try to follow the Government's thinking to be effective and efficient in implementing services and Business licensing needs to the community by implementing an Online Application with a risk-based approach (OSS-RBA). As a refinement of legal considerations to face risks in the community business. In this case, the Langkat Regency government's Responsibility is the one-stop investment application and licensing service for the Langkat Regency, North Sumatra, based on government policies through the Ministry of Investment or the agency in charge of investment, applies licensing applications with a risk-based approach (OSS-RBA). It is hoped that the efforts made by the Langkat Regency government with an integrated one-door system, the Application of this Application can help the community, especially in the Langkat Regency area, to be effective and efficient in obtaining business permits to improve people's welfare and obtain legal certainty in running their Business. Supervision is carried out periodically and incidentally to provide business assessments and assurance to micro, small and medium-sized business actors and investment from the Langkat district government. This research is normative legal research, by conducting library research oriented toward applicable laws and regulations using a qualitative approach. The theory used in this paper is the theory of the welfare state based on the spirit and awareness to build a prosperous social justice country by obtaining legal certainty. The results of the study found that the Responsibility of the Langkat Regency government in implementing business licensing applications through online applications with a risk-based approach (OSS-RBA) to realize the economic welfare of the community effectively, easily and cheaply and quickly by empowering all potential resources to fulfil the best service to the business community.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.276
Teacher spread0.268 · 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