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All Journal Edu Cendikia: Jurnal Ilmiah Kependidikan Computer Architecture and Signal Processing
Novia Permata Atmadja
Universitas Pamulang
Humanities Education Languange, Linguistic, Communication & Media Social Sciences Other

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Manajemen Pemanfaatan Smart City dan Keaslian Al-Qur’an dalam Pendidikan Agama Islam melalui Teknologi Digital: Smart City Utilization Management and the Authenticity of the Qur'an in Islamic Religious Education through Digital Technology Dede Ridho Firdaus; Novia Permata Atmadja
Edu Cendikia: Jurnal Ilmiah Kependidikan Vol. 6 No. 01 (2026): Call for Papers April 2026
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/educendikia.v6i01.8099

Abstract

This study aims to analyze the management strategy for utilizing smart cities in religious education to optimize access and maintain the authenticity of the Qur'an through digital technology. The development of smart cities and digitalization in Indonesia presents significant opportunities for Islamic religious education, particularly for expanding the reach of learning and ensuring the authenticity of teachings through digital systems. The research method used is a Systematic Literature Review (SLR) of literature published between 2020 and 2025, focusing on integrating technologies such as Artificial Intelligence, the Internet of Things, and cloud computing to manage Qur'an education. The analysis results show that implementing digital management strategies can improve the efficiency of access, learning, and the verification of the authenticity of Qur'an manuscripts. However, challenges remain in the digital infrastructure gap, educators' readiness, and the need for policies and regulations to standardize digital religious content. The digital technologies used in this study include officially licensed products such as mobile Qur'an applications, cloud computing systems, and artificial intelligence, which ensure the security, authenticity, and quality of digital Qur'an learning. The practical implication of this research is the need for collaboration among government institutions, schools, and the community to develop an innovative, technology-adaptive religious education management system. This research contributes to the development of a smart-city-based religious education management model that can shape a generation of religious, tech-savvy, and virtuous Quranists in the smart-city era.
Low Power Microcontroller Based System Design Employing Efficient DSP Algorithms for Smart Cyber Physical Embedded Monitoring Hayadi Hamuda; Novia Permata Atmadja; Rahmadi Asri
Computer Architecture and Signal Processing Vol. 1 No. 1 (2026): March: Computer Architecture and Signal Processing
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/casp.v1i1.33

Abstract

The integration of Digital Signal Processing (DSP) algorithms in low power microcontroller based embedded systems has emerged as a promising solution to optimize energy efficiency without compromising signal accuracy and performance. This study focuses on the design and optimization of DSP algorithms specifically for microcontrollers, aimed at achieving real-time, reliable monitoring for applications such as healthcare, environmental sensing, and IoT devices. The research highlights the system's ability to handle complex signal processing tasks while maintaining low power consumption, ensuring long-term, continuous operation in remote or battery-powered environments. The system employs various techniques, including advanced power management strategies such as dynamic voltage scaling (DVS) and adaptive voltage scaling (AVS), along with lightweight AI algorithms and model pruning, to minimize energy use. The results show significant reductions in power consumption compared to traditional systems, particularly during continuous monitoring tasks. Despite this, the optimized DSP algorithms maintain or even enhance signal accuracy, ensuring that critical monitoring data remains reliable. Furthermore, the system demonstrates robust performance and reliability over extended periods, making it suitable for long-term deployment in critical applications such as wearable medical devices and industrial sensors. This research provides a foundation for the development of future low power embedded systems, emphasizing the importance of DSP-aware optimization in achieving energy-efficient and high-performance monitoring. Future improvements may include advanced AI-driven power optimization techniques, enhanced scalability, and cross-domain interoperability, ensuring that these systems can be effectively deployed across diverse applications, from healthcare to environmental monitoring.
Co-Authors Dede Ridho Firdaus Hayadi Hamuda Rahmadi Asri