Afryansyah, Afryansyah
MAN Insan Cendekia OKI

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Neon Fluid Tree: Bio-Artificial Trees in Urban Landscape and Weather Detecting Systems Muthmainah, Bunga Shafira; Maharani, Disha As Syifa; Nabila, Siti Chairun; Hendri, Hendri; 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.v16i2.28421

Abstract

Urban air pollution continues to worsen due to high vehicle emissions, limited green spaces, and the declining ability of vegetation to absorb carbon dioxide. To address this, this study proposes the Neon Fluid Tree, a portable bio-artificial system leveraging Chlorella microalgae to enhance CO₂ absorption and oxygen production in urban settings. Microalgae are known for efficient carbon fixation via photosynthesis, and photobioreactor cultivation systems have improved CO₂ mass transfer and fixation performance. Studies have shown that Chlorella vulgaris can absorb CO₂ at significant rates in controlled systems, with values up to ~0.255 g CO₂ per liter per day under optimized conditions. Moreover, enhanced CO₂ uptake can be achieved through improved reactor designs and mass transfer methods, significantly increasing CO₂ utilization efficiency. Transcriptomic analyses reveal that Chlorella adapts its carbon fixation pathways in response to elevated CO₂, indicating its suitability for high-CO₂ environments. Overall, these findings support the potential of Chlorella-based systems like the Neon Fluid Tree for compact, high-efficiency urban air quality improvement. Carbon dioxide levels and strengthening urban environmental resilience.
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.
AIRIS Smart Inhaler: An Integrated Health Technology Innovation to Improve Early Detection and Proactive Control of Asthma Attacks Jannati, Fanny Afnan; Yuliska, Siti Syarah; Sitorus, Syaikhah Zhafirah; 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.v16i2.28390

Abstract

Asthma is a chronic respiratory disease of the airways characterized by inflammation narrowing of the airways, causing sufferers to experience difficulty breathing. This disease requires long-term management and consistent monitoring of medication use. However, the use of inhalers as asthma therapy is not regularly used due to low awareness and minimal monitoring. This has led to a surge in asthma relapse cases. Therefore, a solution is needed to help increase awareness and monitor inhaler use in real-time, while supporting patient adherence to treatment. The research method used is a Research and Development (R&D) approach, involving prototype design, functional testing, and initial system evaluation. This device is designed to track inhaler usage patterns, detect potential symptoms through manual input and environmental data, and provide real-time notifications via a companion app. Testing results show that the AIRIS Smart Inhaler can automatically detect inhaler usage, record frequency and usage time, and send this data to the companion app in real-time. This system also successfully provides usage reminders to users. With this feature, AIRIS is considered to be able to improve therapy compliance and facilitate monitoring by medical personnel. AIRIS Smart Inhaler is expected to improve therapy compliance, facilitate asthma monitoring, and become an innovative solution in technology-based asthma management.
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.
FLOVERA: Smart and Sustainable Edible Packaging Innovation for Environmental Responsibility Annisa, Annisa; Mujtahidah, Armeina; Efania, Azzahra Putri; Anggita, Muryani; 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.v16i2.28420

Abstract

The increasing global demand for sustainable, eco-friendly, and intelligent food packaging has driven the development of biodegradable materials capable of not only reducing plastic pollution but also actively sensing food spoilage. This research presents the design and evaluation of an edible rice paper derived from Manihot esculenta (cassava) leaf fibers integrated with natural pH-responsive anthocyanin indicators from Clitoria ternatea (butterfly pea flower). The material exhibits visible color changes in response to pH variations associated with food decomposition, enabling real-time monitoring of food freshness. Mechanical, physicochemical, and colorimetric properties of the developed bio-film were systematically characterized. Results demonstrate that the film exhibits significant pH-sensitive color transformation, desirable mechanical strength, antioxidant activity, and rapid biodegradability when compared with conventional synthetic polymers. These findings support the potential of this material to serve as a green alternative to traditional plastic packaging, enhancing food safety while mitigating environmental impacts. This work contributes to sustainable packaging innovation and addresses critical challenges of plastic waste and consumer health risks linked to synthetic packaging materials.