Claim Missing Document
Check
Articles

Found 2 Documents
Search

Juridical Review Concerning the Legitimacy of Cryptocurrency in Islamic Law Christopher Panal Lumban Gaol; Utzinger Morales; Vanella Lopez
At-Tasyrih: jurnal pendidikan dan hukum Islam Vol. 8 No. 2 (2022): At-Tasyrih: Jurnal Pendidikan dan Hukum Islam
Publisher : P3M IAI Nusantara Batang Hari

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (233.043 KB) | DOI: 10.55849/attasyrih.v8i2.148

Abstract

Cryptocurrency has become a significant phenomenon in the global financial world. However, within the context of Islamic law, questions regarding the validity and regulation of cryptocurrency remain a complex debate. This research aims to conduct a normative juridical analysis of cryptocurrency regulation in Islamic law, with a focus on a case study in Indonesia. The research method employed is a normative juridical approach, involving the collection and analysis of legal data from relevant sources, such as laws, regulations, and religious fatwas. This legal data is then analyzed using legal arguments and theoretical frameworks to understand and explain the legal status of cryptocurrency within Islam. This study identifies key issues that arise in the regulation of cryptocurrency in Islamic law in Indonesia, including riba (interest), gharar (uncertainty), maysir (gambling), and consumer protection. Through this normative juridical analysis, the researcher explores existing legal interpretations, relevant legal documents, and the perspectives of Islamic scholars and experts regarding the validity and permissibility of cryptocurrency. The findings of this research provide an in-depth understanding of how cryptocurrency can be categorized within the framework of Islamic law, as well as the legal implications arising from the use and trading of cryptocurrency. Additionally, this study identifies gaps and challenges in the regulation of cryptocurrency in Islamic law in Indonesia and provides recommendations for the development of more effective regulations that align with Islamic principles.
Artificial Intelligence as a Support for Arabic Language Learning in Higher Education with VOSviewer Analysis Utzinger Morales; Vanella Lopez; Schittny Joanan; Hirsiger Julia
Journal International Inspire Education Technology Vol. 1 No. 3 (2022)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiiet.v1i3.207

Abstract

The world is increasingly showing the progress of human resources in the field of science and technology, and the development of knowledge about this technology also continues to accelerate rapidly with the discovery of many features that have sprung up to be utilized according to human technological needs. Especially in the field of education, the development of technology-based features is also increasing, supported by technology-based learning systems. Newly emerging learning systems, such as an online machine-based intelligence apk that performs class teaching movements according to the connection provided by humans, this effort is a type of association in the interaction between robots and humans with correspondences that are linked between signals and movements. In this case, the robot provides an educational learning system with a discourse recognition process. The use of robots in learning Arabic in higher education also shows how an educational institution designs the latest technology-based learning system with the use of online robots to assist the learning process in the classroom. This online robot learning system is closely related to the use of supporting wireless network cables in the online robot association; therefore, a bibliometric analysis will be carried out on the use of artificial intelligence in supporting Arabic language learning in higher education with the help of VOSviewer. The results of the VOSviewer overview will provide conclusions about the extent to which artificial intelligence effectively supports Arabic language learning in higher education.