Claim Missing Document
Check
Articles

Found 6 Documents
Search

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.
Analisis Kebutuhan Media Pembelajaran Berbasis Augmented Reality pada Materi Pengenalan Perangkat Keras Komputer Prasetya, Raynaldi Nugraha; Rivasintha, Emusti; Oktarika, Dini
Juwara: Jurnal Wawasan dan Aksara Vol. 3 No. 1 (2023)
Publisher : Yayasan Pendidikan dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/juwara.v3i1.57

Abstract

AbstrakTujuan penelitian untuk menganalisis kebutuhan dalam penerapan media pembelajaran pengenalan perangkat keras berbasis augmented reality. Metode penelitian menggunakan survei. Subjek penelitian siswa kelas VII SMP Negeri 13 Satu Atap Sungai Kakap. Teknik pengumpul data menggunakan komunikasi tidak langsung. Alat pengumpul data menggunakan angket. Teknik analisis data menggunakan analisis deskriptif. Hasil penelitian adalah: (1) Dari 36 responden, hanya 1 (satu) orang yang tidak memiliki smartphone dengan sistem operasi Android; (2) Sebanyak 36 responden (100%) setuju apabila materi pengenalan perangkat keras menggunakan media pembelajaran berbasis augmented reality dengan berbagai alasan; dan (3) Kendala yang mungkin dihadapi jika media pembelajaran berbasis augmented reality diterapkan adalah responden belum memahami penggunaan media berbasis augmented reality sebesar 69,2% dan responden memiliki spesifikasi smartphone yang tidak mendukung sebesar 24,6%. Abstract The purpose of the study was to analyze the needs in the application of augmented reality-based hardware recognition learning media. The research method uses a survey. The research subjects were students of class VII SMP Negeri 13 Satu Atap Sungai Kakap. Data collection techniques use indirect communication. The data collection tool uses a questionnaire. Data analysis technique using descriptive analysis. The results of the study were: (1) Out of 36 respondents, only 1 (one) person did not own a smartphone with the Android operating system; (2) A total of 36 respondents (100%) agree that the hardware introduction material uses augmented reality-based learning media for various reasons; and (3) Obstacles that might be faced if learning media based on augmented reality are applied are respondents who do not understand the use of augmented reality-based media by 69.2% and respondents who have smartphone specifications that do not support it by 24.6%.
Etika dalam Pengembangan Artificial Intelligence: Tinjauan Pedoman dan Penerapannya Prasetya, Raynaldi Nugraha; Kusdiyanto, Ari; Radiana, Usman; Wicaksono, Luhur
Juwara: Jurnal Wawasan dan Aksara Vol. 4 No. 1 (2024)
Publisher : Yayasan Pendidikan dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/juwara.v4i1.271

Abstract

ABSTRAK Kemajuan dalam pengembangan kecerdasan buatan (AI) telah memunculkan berbagai diskusi terkait aspek etika teknologi ini. Banyak pedoman etika diterbitkan untuk memastikan AI dikembangkan dan digunakan dengan cara yang bertanggung jawab, dengan fokus pada privasi, keadilan, transparansi, dan keamanan. Teknologi AI yang semakin "disruptif" membuat aturan etika ini menjadi sangat penting. Penilitian ini meninjau dan membandingkan 22 pedoman etika AI. Peneliti menemukan bahwa meskipun banyak prinsip yang tumpang tindih, ada kekurangan di beberapa pedoman, terutama terkait keadilan sosial dan penerapan dalam praktik. Penilaian ini menunjukkan bahwa prinsip etika seringkali tidak sepenuhnya diterapkan di lapangan, meski pedoman-pedoman tersebut telah disusun dengan baik. Kurangnya implementasi yang tepat bisa menimbulkan masalah serius di masa depan, terutama karena AI sangat berpengaruh dalam berbagai aspek kehidupan seperti pekerjaan, pendidikan, dan kesehatan. Oleh karena itu, evaluasi mendalam diperlukan untuk memperbaiki pendekatan etika AI. Penulis menyarankan beberapa langkah perbaikan, termasuk peningkatan transparansi dan akuntabilitas dalam pengembangan AI, serta penerapan pedoman etika yang lebih konsisten. Dengan memperkuat prinsip-prinsip ini, diharapkan AI dapat dikembangkan dan digunakan dengan lebih etis, membawa manfaat maksimal bagi masyarakat. ABSTRACT Progress in the development of artificial intelligence (AI) has given rise to various discussions regarding the ethical aspects of this technology. Many ethical guidelines are published to ensure AI is developed and used in a responsible manner, with a focus on privacy, fairness, transparency, and security. AI technology is increasingly "disruptive" making these ethical rules very important. This research reviews and compares 22 AI ethical guidelines. Researchers found that while many of the principles overlap, there are gaps in some of the guidelines, particularly regarding social justice and application in practice. This assessment shows that ethical principles are often not fully implemented in the field, even though the guidelines are well developed. Lack of proper implementation could cause serious problems in the future, especially because AI is very influential in various aspects of life such as work, education, and health. Therefore, in-depth evaluation is needed to improve AI ethical approaches. The authors suggest several steps for improvement, including increased transparency and accountability in AI development, as well as more consistent implementation of ethical guidelines. By strengthening these principles, it is hoped that AI can be developed and used more ethically, bringing maximum benefits to society.
Student Perceptions of the Use of Interactive Digital Media in Improving Learning Motivation Prasetya, Raynaldi Nugraha; Budiman, Ridho Dedy Arief; Astuti, Aura; Friani, Devi Anggi; Siradjuddin, Suharti
Juwara: Jurnal Wawasan dan Aksara Vol. 5 No. 1 (2025)
Publisher : Yayasan Pendidikan dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/juwara.v5i1.313

Abstract

This study aims to explore students' perceptions of the use of interactive digital media and its influence on learning motivation. Interactive digital media is expected to increase students' engagement in learning and motivate them to be more active in the learning process. This research uses a descriptive qualitative approach with data collection techniques through semi-structured interviews and observation. The sample used was 5-10 students selected as key informants in one junior high school. The data were analyzed using thematic analysis techniques which included data reduction, categorization, and meaning of emerging themes. The results show that students have a positive view of the use of interactive digital media in learning, which they feel can increase their motivation to learn. Based on these findings, it is recommended to utilize interactive digital media as an effective tool in the learning process to increase students' motivation and engagement. The implication of this study shows that the integration of interactive digital media in the learning curriculum can be an innovative strategy to create a more engaging learning environment, encourage student-centered learning, as well as support the development of 21st century skills such as critical thinking, collaboration, and digital literacy.
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.