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All Journal Jurnal Ilmu Dakwah Technologia Journal
Moch. Fachrurozi, Moch.
UIN Sunan Gunung Djati Bandung
Computer Science & IT Social Sciences

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Trilogi Kepemimpinan Islam: Analisis Teoritik terhadap Konsep Khilafah, Imamah dan Imarah Fachrurozi, Moch.
Jurnal Ilmu Dakwah Vol 4, No 12 (2008): Jurnal Ilmu Dakwah
Publisher : Fakultas Dakwah dan Komunikasi UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jid.v4i12.396

Abstract

In fact, Islam have many concepts about leadership. Minimally, there are three concepts of leadership which ever aplicated in Muslim world, each of it has variaties characteristic such khilafah, imamah and imarah. Khilafah naturally is more teologis and sosiologis. As teology ,  because it has the strong relation with destination of human creating as chalifath in world, and sosiologis because in practice, election of leader process is be done by humanbeing. Imamah pure teologis as in syarat pemimpin harus ma’shum. Sementara itu imarah pure sosiologis because not based to teologis principles.
Edge–Cloud Synergy in Real-Time System Optimization Fachrurozi, Moch.
Technologia Journal Vol. 3 No. 1 (2026): Technologia Journal-February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/38d3g980

Abstract

The convergence of edge and cloud computing paradigms has emerged as a critical architectural approach for real-time system optimization. This research synthesizes recent developments in edge–cloud synergy, examining how the combination of edge computing's ultra-low latency capabilities with cloud computing's massive computational resources addresses the growing demands of real-time applications in industrial systems, smart cities, and Internet of Things (IoT) environments. Through comprehensive analysis of contemporary research from 2021 to 2025, this study identifies four primary research trajectories: architecture and orchestration patterns, AI optimization and predictive maintenance, resource scheduling mechanisms, and vertical domain applications. Quantitative evidence demonstrates that hybrid edge–cloud architectures achieve 10–15× latency reduction compared to cloud-only approaches, bandwidth savings exceeding 90%, energy efficiency improvements of 22–42%, and detection accuracy rates approaching 90% in anomaly detection scenarios. However, significant challenges persist in resource management, security frameworks, and standardization efforts. This comprehensive review provides insights into the current state of edge–cloud synergy and identifies critical research directions for advancing real-time system optimization in next-generation networks.
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