Implementation of Integrated Business Licensing Applications Online with a Risk-Based Approach (OSS-RBA) for Legal Assurance of Business Affairs in Langkat District
Bibliographic record
Abstract
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.
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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 | 0.006 | 0.010 |
| 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 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".