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All Journal ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL) The Journal of Artificial Intelligence and Development Marsialapari: Jurnal Pengabdian Kepada Masyarakat
Arnes Yuli Vandika
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Humanities Computer Science & IT Dentistry Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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The Role of Artificial Intelligence in the Development of Digital Era Educational Progress Baso Intang Sappaile; Arnes Yuli Vandika; Much Deiniatur; Nuridayanti Nuridayanti; Opan Arifudin
Journal of Artificial Intelligence and Development Vol. 3 No. 1 (2024): AI Development
Publisher : Edujavare Publishing

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In recent years, the transformative impact of artificial intelligence (AI) on educational progress in the digital era has been revealed. This research aims to explain how AI can revolutionize the educational landscape, driving inclusivity, equality, and innovation. This research method uses a qualitative approach and a multilateral approach which includes theoretical analysis and empirical findings. This research explains the role of AI in personalized learning, accessibility, educator empowerment, and ethical considerations. These findings reveal the potential for AI to enhance the learning experience by providing customized content, encouraging inclusivity through flexible learning modalities, and empowering educators with actionable insights. However, ethical issues such as data privacy and algorithmic bias require careful consideration. The study concludes with recommendations for future research, advocating further exploration of the efficacy of AI in addressing specific educational challenges and interdisciplinary collaboration to inform the responsible integration of AI in education, ultimately paving the way for a more equitable and innovative educational landscape in the digital world. era.
Utilization AI for Socially Responsive Education as a Path to Inclusive Development Loso Judijanto; M. Anwar Aini; Asfahani Asfahani; Zohaib Hassan Sain; Arnes Yuli Vandika
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
Publisher : Edujavare Publishing

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The integration of Artificial Intelligence (AI) into educational practices has garnered increasing attention as a potential pathway to fostering inclusive development. This study investigates the utilization of AI for socially responsive education, aiming to explore its opportunities, challenges, and implications for promoting inclusivity in educational settings. Through qualitative research methods including interviews, focus groups, and document analysis, key findings emerge highlighting the potential of AI to personalize learning experiences and expand access to education, particularly in underserved communities. However, the study also identifies concerns regarding algorithmic bias, the digital divide, and ethical considerations, emphasizing the need for collaborative efforts among stakeholders to ensure the responsible and equitable deployment of AI technologies in education. The analysis of research findings contributes to a nuanced understanding of the complex dynamics surrounding AI in education and underscores the importance of advancing inclusive development agendas through the strategic integration of AI into educational practices.
A Comprehensive Review of the Transformative Impact of Artificial Intelligence on Sustainable Development Sri Widiastuti; Loso Judijanto; Tanwir Tanwir; Arnes Yuli Vandika; Abdul Muid Fabanyo
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
Publisher : Edujavare Publishing

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This comprehensive review article examines the transformative impact of Artificial Intelligence (AI) on Sustainable Development, covering diverse sectors such as environmental conservation, energy efficiency, healthcare, and socio-economic inclusion. The integration of AI technologies has the potential to revolutionize traditional practices and contribute significantly to achieving sustainable development goals. The primary objective is to comprehensively analyze AI's transformative impact across various domains of sustainable development, highlighting key applications, challenges, and future trends. The research methodology involves a Systematic Literature Review (SLR) approach, encompassing a structured search, selection, and analysis of relevant scholarly articles, reports, and studies on AI and sustainable development. The findings reveal that AI is crucial in environmental monitoring, energy optimization, healthcare innovation, and socio-economic inclusion. However, ethical considerations, data privacy, and regulatory frameworks are essential aspects to address for responsible AI deployment in sustainable development initiatives.
Ethical Considerations in the Development and Application of Artificial Intelligence for Social and Economic Progress Loso Judijanto; Jackson Yumame; Tanwir Tanwir; Gusma Afriani; Arnes Yuli Vandika
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
Publisher : Edujavare Publishing

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This study investigates the ethical considerations surrounding the development and application of artificial intelligence (AI) for social and economic progress. This research aims to analyze the impact of AI on fairness, transparency, accountability, privacy, and social outcomes. The research method uses a systematic literature review (SLR) to collect and synthesize relevant findings from previous research and theoretical frameworks. The data is collected, and the data analysis technique used in the SLR method is to carry out stages such as study selection, evaluation of study quality, extraction of relevant data, and synthesis of findings from the selected studies. This research results in the importance of mitigating bias, increasing transparency and accountability, protecting privacy and data, and evaluating the social impact of AI. In conclusion, this research underscores the critical need for ethical frameworks and regulations to guide AI's responsible development and deployment to drive equitable and beneficial social and economic progress.
21st Century Economic Transformation: The Impact of Artificial Intelligence on Markets and Employment Loso Judijanto; Asfahani Asfahani; Arnes Yuli Vandika
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
Publisher : Edujavare Publishing

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Artificial intelligence (AI) has transformed the 21st-century economy, shaping markets and employment. This study aims to investigate the impact of AI on the market and employment. This research uses a qualitative approach, which takes data through observation and interview techniques. In contrast, the data analysis technique uses the Miles Humbermen model through data presentation, reduction, and conclusion. This research reveals that although AI increases efficiency and productivity, it also causes job displacement and requires upskilling efforts and new skills. Additionally, AI drives the emergence of new sectors and raises ethical and regulatory challenges that must be overcome for sustainable economic development.
KECERDASAN BUATAN SEBAGAI MITRA DALAM PENILAIAN DAN EVALUASI PENDIDIKAN Alim Hardiansyah; Rosmawati Harahap; Arnes Yuli Vandika
Jurnal Ilmu Pendidikan dan Kearifan Lokal Vol. 4 No. 5 (2024): OKTOBER
Publisher : CV. ADIBA ASIHA AMIRA

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Artificial Intelligence (AI) has emerged as a transformative technology in various fields, including education. AI offers significant capabilities in analysing large-scale data, providing real-time feedback, and tailoring assessments to students' individual needs. The research method used literature. The results showed that the integration of AI in educational assessment requires a balanced approach that blends the analytical power of AI with human judgement. In conclusion, AI has the potential to increase the effectiveness and personalisation of educational assessment, but its implementation must be done with careful ethical considerations and focus on enhancing, not replacing, the role of educators in the evaluation process.
PENGGUNAAN KECERDASAN BUATAN UNTUK PERSONALISASI PENGALAMAN BELAJAR Arnadi Arnadi; Aslan Aslan; Arnes Yuli Vandika
Jurnal Ilmu Pendidikan dan Kearifan Lokal Vol. 4 No. 5 (2024): OKTOBER
Publisher : CV. ADIBA ASIHA AMIRA

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Using Artificial Intelligence (AI) to Personalise Learning Experiences refers to the application of AI technology and machine learning algorithms in an educational context to create individually tailored learning experiences for each learner. This approach leverages AI's ability to analyse big data about each student's learning patterns, strengths, weaknesses and preferences, then uses that information to adjust content, pace and teaching methods in real-time. The aim is to optimise the learning process by providing the most relevant and effective material for each individual. In practice, these AI-based systems can recommend appropriate learning resources, adjust task difficulty levels, provide personalised feedback, and even predict areas where a student may struggle in the future. This approach not only includes customisation of academic content, but can also take into account factors such as a student's learning style, motivation, and socio-emotional context. Thus, the use of AI to personalise learning experiences aims to create an educational environment that is more inclusive, effective, and responsive to the individual needs of each learner.
USE OF DRONES FOR DELIVERY OF MEDICINE AND BLOOD IN REMOTE AREAS Loso Judijanto; Syafril Barus; Arnes Yuli Vandika
ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Vol. 4 No. 2 (2024): APRIL
Publisher : CV. ADIBA ADISHA AMIRA

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The use of drone technology for the delivery of medicines and blood in remote areas has emerged as an innovative solution to some of the logistical challenges in healthcare. The study aims to evaluate the effectiveness, viability, and impact of the use of drones in improving access to essential medicines and blood supplies in hard-to-reach locations. Research methods carried out through the study of literature. Research results show that drones can not only significantly reduce delivery times and ensure reliability in delivering medical aid, but also offer a cost-effective solution compared to traditional transport methods. The study underscores the importance of a multidisciplinary approach in addressing barriers to delivery of health services in remote areas and exploring the future of drones as a major tool in medical follow-up response and health logistics delivery.
BLOCKCHAIN FOR PATIENT DATA SECURITY: POTENTIAL AND CHALLENGES Loso Judijanto; Arnes Yuli Vandika; Lola Yustrisia
ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Vol. 4 No. 2 (2024): APRIL
Publisher : CV. ADIBA ADISHA AMIRA

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The use of blockchain applications in the health sector, in patient data security, promises significant progress in the management and protection of medical information. Database decentralization, which is at the heart of blockchain technology, presents itself as an innovative solution in reducing the risk of cyber attacks and system failures simultaneously, by dividing information into scattered networks. It increases patient information resilience to data loss and identity theft. Another advantage of blockchain is greater transparency and auditability. Any transactions or changes recorded cannot be changed again, ensuring consistent data integrity. This is crucial in a healthcare environment, where errors in patient information can have serious implications for patient care and health outcomes. In addition, the blockchain system allows the use of strong encryption and layered access controls, making patient data much safer from unauthorized access. However, despite the many advantages it offers, there are challenges to overcome in order for this technology to be implemented effectively. Challenges such as system scalability, complex regulatory compliance, and difficulty integrating with existing health information technology systems are major obstacles to blockchain implementation. Concerns about scalability emphasize increased processing time and operating costs as transaction volumes grow. Regulatory compliance often requires extra care and adaptation to strict local regulations relating to personal data and privacy.
BIMBINGAN WAWASAN KEAGAMAAN PADA ANAK USIA DINI DENGAN    METODE DAKWAH DI JORONG PENINJAUAN RANAH BATAHAN PASAMAN BARAT Rahman; Sawaluddin Siregar; Nunung Suryana Jamin; Arnes Yuli Vandika; Muhammadong
Marsialapari: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2024): Juli : Marsialapari
Publisher : Yayasan Baitul Hikmah al-Zain

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Providing religious teaching to young children in Jorong, the review turns out that quite a few children fail in religious practice due to a lack of providing and understanding religious insight. For this reason, it is necessary to use the da'wah method to build religious insight in young children. The methodology for implementing the service is carried out by observing every incident that occurs at Jorong Peninjauan TPA, Ranah Batahan West Pasaman. The author made direct observations of religious learning activities. This observation/observation method is intended as a way of collecting data by directly observing events or happenings in the field. The results were found in the field of guidance carried out with elders or Koran teachers, preachers and teacher educators. Namely, the application of the da'wah method to early childhood is supported by the availability of adequate facilities, high community tolerance, patience, and the example of the Da'i or teacher
Co-Authors Abdul Muid Fabanyo Alim Hardiansyah Arnadi Arnadi Asfahani Asfahani Aslan Aslan Baso Intang Sappaile Feriyanti, Yang Gusti Gusma Afriani Jackson Yumame Lola Yustrisia Loso Judijanto Luckhy Natalia Anastasye Lotte M. Anwar Aini Marwah Much Deiniatur MUHAMMAD LUTFI Muhammadong Nunung Suryana Jamin Nuridayanti Nuridayanti Opan Arifudin Rahman Rosmawati Harahap Sawaluddin Siregar Sri Widiastuti Syafril Barus Tanwir Tanwir Zohaib Hassan Sain