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The Concept of Child-Free Lifestyle in the Context of Maqasid Shariah: Ethical Considerations and Social Implications Ahmad Maulidizen; Abdul Haris Muchtar; Atikah Salimah; Risman Nugraha
Journal of Islamic Law and Legal Studies Vol 1 No 2 (2024): Journal of Islamic Law and Legal Studies
Publisher : Mabadi Iqtishad Al Islami

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Abstract

This research aims to explore the concept of the child-free lifestyle within the framework of Maqasid Shariah, focusing on the ethical considerations and social implications associated with such a decision. The study seeks to understand how Islamic principles and objectives—preserving faith, life, intellect, progeny, and wealth—interact with the modern choice of living child-free. By utilizing a qualitative library research approach, the study analyzes various Islamic texts, scholarly opinions, and contemporary discussions on reproductive choices, providing an in-depth understanding of how the child-free lifestyle aligns with Maqasid Shariah. The findings reveal that while Maqasid Shariah emphasizes the importance of procreation for the continuation of society, it also recognizes individual autonomy, personal choice, and the preservation of well-being. The study concludes that, from a Shariah perspective, the child-free lifestyle may be considered ethically permissible under specific circumstances, especially when it aligns with the overall well-being and goals of an individual or couple. The implications of this research are significant for policymakers, religious scholars, and society at large, as it encourages a nuanced understanding of reproductive choices, personal freedom, and societal responsibilities in contemporary Islamic contexts.
Revolutionizing Business: The Role of AI in Driving Industry 4.0 Nabiel Syarof Azzaky; Atikah Salimah; Clarita Risma Saputri
TechComp Innovations: Journal of Computer Science and Technology Vol. 1 No. 1 (2024): TechComp Innovations: Journal of Computer Science and Technology
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/techcompinnovations.v1i1.24

Abstract

The urgency of this research lies in understanding the critical role of Artificial Intelligence (AI) in the rapidly evolving landscape of Industry 4.0. As businesses strive to remain competitive, AI's integration into industrial processes has become essential. The primary aim of this study is to examine how AI drives innovation and efficiency within Industry 4.0. Using a literature review methodology, this research synthesizes findings from existing studies to provide a comprehensive overview of AI's impact on various business sectors, including manufacturing, logistics, and supply chain management. The results reveal that AI significantly enhances operational efficiency, predictive maintenance, and decision-making capabilities. Moreover, the study identifies key challenges in AI implementation, such as data privacy and the need for skilled workforce, while also highlighting the vast opportunities for future advancements. This research underscores the importance of AI in achieving higher levels of customization, quality, and competitiveness, paving the way for sustainable business growth in the digital era