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Journal : Journal of Multidiscipline and Collaboration Research

The Influence of Artificial Intelligence in the Resolution of Family Law Disputes: Prospects and Challenges Yuliani, Sri; Firmansyah, Syarif; Prasetya, Raynaldi Nugraha
Journal of Multidiscipline and Collaboration Research Vol. 1 No. 2 (2024)
Publisher : Yayasan Pendidikan dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/jmcr.v1i2.370

Abstract

This research aims to explore the prospects and challenges of applying Artificial Intelligence (AI) in family law dispute resolution. The method used in this research is a qualitative approach with literature study and normative juridical analysis, as well as interviews with legal practitioners and academics. The results show that AI has great potential in improving legal efficiency and accessibility by accelerating the mediation process and providing initial legal consultation for the community. However, the research also identified several key challenges, including AI's limitations in understanding the emotional and psychological aspects of family disputes, the risk of algorithm bias, and the legal validity of the resulting decisions. The implications of this research confirm that AI can be a useful support tool in the legal process, but it cannot completely replace the role of humans. Therefore, strict regulations as well as human involvement in the verification process and final decision-making are needed to ensure that justice is maintained.
Identification and Analysis of Potential Hazards in Informatics Practicum Activities Winata, Rivaldi Andika; Prasetya, Raynaldi Nugraha; Budiman, Ridho Dedy Arief
Journal of Multidiscipline and Collaboration Research Vol. 2 No. 2 (2025)
Publisher : Yayasan Pendidikan dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/jmcr.v2i2.615

Abstract

This study aims to identify and analyze potential hazards occurring during Informatics subject practicum activities at SMP Harapan Ananda, as well as to formulate risk mitigation strategies based on occupational safety approaches. The research employed a descriptive qualitative method supported by simple quantitative analysis through the HIRADC framework (Hazard Identification, Risk Assessment, and Determining Control). Data were collected through observation, interviews, documentation, and questionnaires involving teachers, laboratory technicians, and students. The results revealed four main categories of potential hazards: electrical, ergonomic, physical-environmental, and digital (cyber hazards). Electrical hazards were identified as the most dominant risks due to non-standard installation and insufficient maintenance, while ergonomic and environmental hazards were related to improper workstation design, limited ventilation, and inadequate lighting. Moreover, digital hazards such as data security threats and inappropriate internet access were also identified as emerging issues in technology-based learning. Risk mitigation efforts were implemented through the hierarchy of control, including elimination, engineering controls, administrative procedures, and safety education. This study contributes to the development of safety management in computer laboratories at secondary schools and promotes a culture of safety and digital literacy within technology-integrated educational environments.
Analyzing Student Satisfaction Toward the Integration of ChatGPT as a Digital Learning Resource Prasetya, Raynaldi Nugraha; Budiman, Ridho Dedy Arief
Journal of Multidiscipline and Collaboration Research Vol. 2 No. 1 (2025)
Publisher : Yayasan Pendidikan dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/jmcr.v2i1.653

Abstract

This study aims to analyze students’ satisfaction with the integration of ChatGPT as a digital learning resource at SMP Harapan Ananda, West Kalimantan. A descriptive quantitative approach was employed, involving 80 respondents from grades VII–IX who had used ChatGPT in their learning activities. Data were collected through a five-point Likert scale questionnaire, complemented by semi-structured interviews to strengthen the quantitative findings. Descriptive analysis revealed that students’ satisfaction was in the “satisfied” category, with an overall mean score of 4.13. The Ease of Use dimension obtained the highest score (4.35), followed by User Experience (4.25) and Learning Usefulness (4.10). Meanwhile, Information Reliability received the lowest score (3.82), indicating the need for teacher guidance in verifying the accuracy of ChatGPT-generated information. The results confirm that ChatGPT holds significant potential as a digital learning resource that enhances students’ motivation and learning autonomy, though its effectiveness still relies on active teacher involvement. This study contributes theoretically to technology acceptance research in education and provides practical implications for schools in designing ethical and contextually relevant AI-based learning strategies.