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All Journal Jurnal Penelitian Medan Agama
Alfarabi, Muhammad Azzam
MAN Insan Cendekia OKI
Religion Education Law, Crime, Criminology & Criminal Justice Social Sciences

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Neurodawn: An EEG-Based Non-Invasive Neuromodulation Prototype for Parkinson’s Disease Muntazhar, Rayyan Athaillah; Alfarabi, Muhammad Azzam; Afryansyah, Afryansyah
Jurnal Penelitian Medan Agama Vol 16, No 2 (2025): JULY-DECEMBER
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58836/jpma.v16i2.28450

Abstract

Parkinson’s disease (PD) is a chronic neurodegenerative disorder that significantly affects patients’ quality of life, thereby necessitating safe, adaptive, and accessible intervention approaches. This study aims to develop Neurodawn, an electroencephalography (EEG)-based non-invasive neuromodulation prototype as a health technology innovation to support Parkinson’s disease management while strengthening a holistic approach aligned with ethical principles and humanistic values. The research employs a research and development (R&D) method, encompassing stages of system design, EEG device integration, signal processing, and initial performance evaluation of the prototype. The innovation of Neurodawn lies in the utilization of EEG signals as the foundation for developing a non-invasive neuromodulation system designed to minimize clinical risks and enhance user comfort. Beyond technical aspects, this study emphasizes key health ethics principles, including non-maleficence, beneficence, patient autonomy, equity in access to healthcare services, and the protection of neurophysiological data privacy as integral components of technology ethics. The spiritual perspective is understood as strengthening patient resilience through meaning, hope, and social support in coping with chronic illness. The development results indicate that Neurodawn can be implemented as a functional prototype and has the potential to be further developed as a supportive non-invasive intervention technology for patients with Parkinson’s disease. The integration of science, ethics, and spirituality forms the foundation to ensure that this innovation is both beneficial and dignified.
Development of an IoT-Based Autonomous Robot for Indoor Fire Detection and Evacuation Support Alfarabi, Muhammad Azzam; Muntazhar, Rayyan Athaillah; Afryansyah, Afryansyah
Jurnal Penelitian Medan Agama Vol 16, No 2 (2025): JULY-DECEMBER
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58836/jpma.v16i2.28419

Abstract

Fire-related emergencies inside buildings expose first responders to severe risks caused by limited visibility, high temperatures, toxic gases, and rapidly changing structural conditions. Immediate entry without adequate situational awareness increases the probability of injury and operational failure. Autonomous robotic systems provide a promising approach to reduce human exposure by performing preliminary hazard assessment and environmental monitoring. This study presents the design and experimental evaluation of EVACo-Aid, an IoT-enabled autonomous robotic platform developed to support indoor fire rescue operations. The system integrates fire detection, obstacle avoidance, victim identification, and real-time data transmission within a compact mobile platform. An experimental prototyping methodology was employed, covering system design, hardware integration, control programming, and functional testing under controlled indoor conditions. Experimental results demonstrate that the proposed system can reliably detect fire sources, navigate autonomously around obstacles, and transmit operational data in real time. Although limitations remain regarding mobility on uneven terrain and sensor performance in extreme environments, the findings indicate that low-cost autonomous robots can enhance situational awareness and improve responder safety during indoor fire emergencies.
Co-Authors Afryansyah, Afryansyah Muntazhar, Rayyan Athaillah