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The Law's Protection Against Children as Victims of Exploitation Artificial Intelligence-Based Cyberpornography Sutarya, Idat Mustari; Prastiono, Suryo; Jamaludin, Ahmad
Journal of Law, Politic and Humanities Vol. 5 No. 5 (2025): (JLPH) Journal of Law, Politic and Humanities
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jlph.v5i5.1725

Abstract

Child sexual exploitation through AI-based cyberpornography is a serious and growing threat in the digital era. Advanced AI technologies, such as deepfake and AI bots, provide new opportunities for perpetrators to easily create and disseminate exploitative content, significantly impacting the physical, psychological, and social well-being of child victims. Although Indonesia has established legal frameworks such as the Child Protection Act and the Electronic Information and Transactions (ITE) Act, adaptive regulatory revisions and stronger implementation are needed to address AI-based crimes and provide maximum protection for children. This study aims to analyze the legal protection for children as victims of AI-based cyberpornography in Indonesia. It employs a normative juridical method focusing on the study of legal norms, both written and customary, to explore legal solutions to this issue. Using primary and secondary legal materials, the analysis is conducted descriptively and prescriptively to evaluate the application of existing laws and propose relevant enhancements or updates. The findings reveal that child sexual exploitation in AI-based cyberpornography represents a crime leveraging advanced technologies such as deepfake and AI chatbots, with serious psychological, social, and physical consequences for victims. Despite existing regulations such as the ITE Act and Child Protection Act, legal gaps related to AI use in these crimes demand regulatory reforms to address modern legal challenges and reinforce cross-sectoral collaboration
Employee Recruitment Process Based On Dessler's Theory (2013) At Uddan Store: A Grounded Theory Study Prastiono, Suryo; Sudarmiatin; Puji Handayati; Naswan Harsono
International Journal of Business and Quality Research Vol. 3 No. 04 (2025): October - December, International Journal of Business and Quality Research (IJ
Publisher : Citakonsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijbqr.v3i04.2642

Abstract

This study aims to gain an in-depth understanding of the recruitment process at Toko Uddan, a small business in the goods distribution sector, using a qualitative approach and grounded theory analysis. Data was collected through in-depth interviews with the owner, administrator, field coordinator, and employees. The results of the study show that recruitment at Toko Uddan is simple, flexible, and greatly influenced by social proximity. Candidates are obtained almost entirely through family and relative recommendations, while selection is conducted informally by considering personality, work ethic, and readiness to start working immediately. Orientation is provided through a one-week field trial period without formal training. Through open coding, axial coding, and selective coding, this study produced a Relational-Operational Recruitment model consisting of three core categories: trust-based recruitment, personality- and work readiness-based selection, and rapid placement through hands-on practice. When compared to Dessler's (2013) recruitment theory, Toko Uddan's recruitment practices show significant differences in terms of formality, diversity of applicant sources, and objectivity of selection, but remain effective in the context of SMEs. The validity of the findings is maintained through the application of Lincoln and Guba's (1985) criteria, including credibility, transferability, dependability, and confirmability. These findings make an important contribution to understanding relationship-based recruitment patterns in small businesses in Indonesia and their implications for more adaptive and contextual human resource management