Evaluation of the Implementation of Law No. 1 of 1970 on Occupational Safety: Challenges, Effectiveness, and Policy Recommendations
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.
Bibliographic record
Abstract
This policy analysis evaluates the implementation of Law No. 1 of 1970 on Occupational Safety in Indonesia, focusing on its effectiveness, challenges, and relevance in the Industry 4.0 era. With technological advancements and changing work conditions such as remote work and automation, the law is considered inadequate to address emerging risks. Using a qualitative approach, the analysis examines the legal framework, regulatory overlaps between the Ministry of Manpower and the Ministry of Health, and the effectiveness of field inspections. Findings reveal significant challenges in the law's implementation. Workplace safety inspections are suboptimal due to limited numbers and quality of inspectors and insufficient use of technology in monitoring. Several studies highlight how decentralized labor inspections at the provincial level lead to poor coordination and resource allocation. Additionally, penalties such as a maximum fine of IDR 100,000 fail to deter violators effectively. Recommendations include revising Law No. 1/1970 to address modern challenges, increasing the number and capacity of occupational safety inspectors, and adopting sensor-based real-time monitoring technologies. Stronger administrative sanctions, as seen in ISO 45001 standards, are necessary to enhance compliance. Training and awareness programs should also target SMEs with low compliance levels, ensuring improved workplace safety across industries.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it