
This study will create and test the e-Law Consult app, which helps Indonesian migrant workers understand and exercise their legal rights overseas, particularly women. The research uses the 4D development approach (Define, Design, Develop, and Disseminate) to design, build, and test the app. A needs analysis involving migrant worker surveys and interviews preceded app development and usability testing. Questionnaires, user comments, and case study analysis collected quantitative and qualitative data. The results show that the e-Law Consult software improves migrant workers' legal literacy and promotes women's rights abroad. Users may quickly get legal advice with the app. The conversation discusses how digital platforms empower migrant workers legally and the app's potential for scalability and acceptance in different countries. This study shows how technology can protect migrant workers and raise their legal understanding. Implications include better legal resources for migrant workers and legislative proposals to integrate technology into protection systems. This study contributes to knowledge by demonstrating its uniqueness, innovative use of technology, and practical solutions to migratory worker issues. This research could influence professional practices and global migrant worker protection regulations, making it valuable.
migrant workers, legal protection, international labor law, C, Anthropology, Auxiliary sciences of history, digital consulting, women's empowerment, GN1-890, e-Law consulting
migrant workers, legal protection, international labor law, C, Anthropology, Auxiliary sciences of history, digital consulting, women's empowerment, GN1-890, e-Law consulting
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
