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All Journal Al-Hijr: Journal of Adulearn World Journal International of Lingua and Technology Journal International Dakwah and Communication Rechtsnormen Journal of Law Sharia Oikonomia Law Journal Journal Neosantara Hybrid Learning International Journal of Research in Counseling Journal of Noesantara Islamic Studies Journal of Selvicoltura Asean International Journal of Educatio Elementaria and Psychologia Journal of Tecnologia Quantica Techno Agriculturae Studium of Research Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology Journal of Educational Teaching and Trends
Razak, Faisal
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Physics Social Sciences Other

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Ultra-Sensitive Quantum Sensor for Detection of Pollutants in Water Fathoni, Mohammad; Zaki, Amin; Razak, Faisal
Journal of Tecnologia Quantica Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i3.1677

Abstract

Water pollution by hazardous substances, such as heavy metals and industrial chemicals, is a global problem that threatens the sustainability of ecosystems and human health. Early detection of these pollutants is essential to prevent further damage. This study aims to evaluate the effectiveness of ultra-sensitive quantum sensors in detecting pollutants in water at very low concentrations. The method used in this study is laboratory and field experiments, by comparing the performance of quantum sensors and conventional sensors in detecting heavy metals and other chemicals in water. The results show that quantum sensors have a much higher sensitivity compared to conventional sensors, with the ability to detect contaminants up to lower concentrations. Quantum sensors can detect lead (Pb) at 0.1 ppb, while conventional sensors can only detect at 0.4 ppb. In conclusion, quantum sensor technology can provide a more efficient and sensitive solution for water quality monitoring, and it has great potential to be implemented in a wider range of environmental monitoring systems. Further research is needed to overcome cost constraints and improve the integration of these technologies in water monitoring in the field.
The Precision Agriculture Revolution in the United States: The Utilization of Drone Technology and Big Data Judijanto, Loso; Zaki, Amin; Razak, Faisal
Techno Agriculturae Studium of Research Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i3.1589

Abstract

Precision agriculture is an innovative approach that is increasingly being applied in the United States to increase agricultural productivity through the use of cutting-edge technology. The background of this research focuses on the importance of adopting modern technologies, such as drones and big data, in addressing global challenges such as climate change, resource limitations, and increasing food needs. The purpose of this study is to explore how the integration of drone technology and big data can revolutionize the agricultural sector in the United States, specifically in improving efficiency, reducing waste, and increasing crop yields. This study uses a qualitative method with a case study approach to several agricultural companies that have adopted drone technology and big data. Data collection was carried out through in-depth interviews with farmers, document analysis, and field observations regarding the implementation of the technology. The data collected was then analyzed using thematic analysis methods to identify patterns and impacts that arise from the adoption of this technology. The results show that the use of drones allows for real-time monitoring of land, early detection of plant diseases, and more efficient resource management, while big data helps in more accurate data-driven decision-making. These two technologies significantly improve the productivity and sustainability of agriculture in the study area. The conclusion of this study confirms that the integration of drone technology and big data can make a great contribution in facing the challenges of modern agriculture. Precision agriculture, with the support of technology, has the potential to be a long-term solution to improve the efficiency and yield of agricultural production.
Plant Health Monitoring Technology with Artificial Intelligence in France Razak, Faisal; Farah, Rina; Idris, Haziq; Nampira, Ardi Azhar
Techno Agriculturae Studium of Research Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i2.1995

Abstract

This study explores the role of artificial intelligence (AI)-based plant health monitoring technology in France, which is expected to improve the efficiency of early detection of plant diseases and optimize the use of agricultural resources. The background of this research is based on the urgent need to increase agricultural productivity and reduce negative impacts on the environment. The purpose of this study is to test the effectiveness of AI in detecting plant health problems and provide data-driven recommendations for farmers. This study uses a mixed approach, with quantitative data from farmer surveys and qualitative data from interviews and case studies in major agricultural regions in France. The results showed that 80% of farmers reported an increase in early detection of diseases, and 75% reported a reduction in pesticide use. In conclusion, AI is playing an important role in supporting sustainable agriculture in France, although challenges in access to technology still need to be addressed. Further research is needed to explore ways to expand the adoption of this technology among smallholders.
Pattern Formation and Synchronization in Nonlinear Systems: Application to Cellular Communication Models Hafizni, Moh.; Atmaja, Suhendra; Razak, Faisal
Research of Scientia Naturalis Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i5.2391

Abstract

The emergence of complex, coordinated behavior from local interactions is a fundamental principle in biology, with pattern formation and synchronization being critical to processes like morphogenesis and intercellular signaling. Understanding the underlying nonlinear dynamics that govern this self-organization remains a central challenge in systems biology. This study aimed to develop a unified theoretical framework to investigate the conditions that drive pattern formation versus synchronization in generalized models of cellular communication. We employed a hybrid approach combining analytical methods with extensive numerical simulations of coupled reaction-diffusion and phase-oscillator models. The models incorporated key biological motifs such as activator-inhibitor signaling and time-delayed feedback loops. The results revealed that the interplay between the diffusion rate of signaling molecules and the time delay in the intracellular response is a critical bifurcation parameter. Slow diffusion and short delays favored robust Turing-like pattern formation, while rapid diffusion and longer delays promoted widespread phase synchronizationThis research concludes that cellular collectives can leverage fundamental principles of nonlinear dynamics, specifically the tuning of interaction range and response time, to select between distinct modes of self-organization.  
Design of Short Peptides as Targeted Protein Inhibitors for Alzheimer’s Disease Miksusanti, Miksusanti; Razak, Faisal; Huda, Nurul; Muntasir, Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v1i3.1757

Abstract

Alzheimer's disease is a neurodegenerative disorder marked by cognitive decline and memory loss, primarily caused by the aggregation of amyloid-beta and tau proteins in the brain. Conventional treatments offer limited benefits, emphasizing the need for new therapeutic strategies. To design and evaluate short peptides as targeted protein inhibitors to prevent the aggregation of amyloid-beta and tau proteins, aiming to halt or reverse the progression of Alzheimer's disease. The study employed computational modeling to design peptides, followed by in vitro assays for initial screening, and in vivo tests using transgenic mouse models to assess therapeutic efficacy and safety. Techniques included mass spectrometry, HPLC, and behavioral tests for cognitive function. Designed peptides demonstrated high binding affinity and specificity for amyloid-beta and tau proteins, reducing aggregation by 70% in vitro. In vivo studies showed significant reductions in amyloid plaques and tau tangles, with improved cognitive performance in treated mice. Peptides effectively crossed the blood-brain barrier and accumulated in target brain regions. The findings support the potential of short peptides as a novel therapeutic approach for Alzheimer's disease, warranting further research and clinical trials to validate their efficacy and safety in human subjects.
Building a Creative Startup Ecosystem: Case Study of the City of Jakarta in Indonesia Zaki, Amin; Razak, Faisal; Huda, Nurul
Journal of Social Entrepreneurship and Creative Technology Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v1i3.1724

Abstract

The growth of creative startups has become a key driver of economic development in many cities around the world, including Jakarta, Indonesia. However, despite its potential, Jakarta faces challenges in establishing a robust ecosystem that supports creative startup growth. Understanding how to build an effective ecosystem for creative startups in Jakarta is crucial for fostering innovation, job creation, and economic diversification. This study aims to analyze the key components and challenges involved in building a creative startup ecosystem in Jakarta, focusing on the role of government, private sector, and academic institutions in nurturing this ecosystem. A qualitative case study approach was employed, utilizing interviews with key stakeholders, including entrepreneurs, government officials, investors, and academics. Data was also collected through a review of existing reports, articles, and policy documents related to Jakarta's startup ecosystem. The research reveals that Jakarta's creative startup ecosystem is still in its early stages but is showing promise. Key challenges identified include limited access to funding, lack of mentorship, and regulatory hurdles. However, initiatives such as government support programs, collaborative spaces, and growing investment interest have provided significant momentum. Building a successful creative startup ecosystem in Jakarta requires concerted efforts from various stakeholders. A collaborative approach between the government, private sector, and academic institutions is essential for overcoming existing barriers and fostering a more sustainable and inclusive startup environment.
Blending Pendagogy and Technology: How Digital Tools Enhance Teaching and Learning Outcomes Sari, Wardani Purnama; Putra, Febi Nuris; Razak, Faisal
Journal of Educational Teaching and Trends Vol. 1 No. 1 (2025)
Publisher : CV Berkah Syahdin Trust

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64840/jett.v1i1.22

Abstract

The increasing use of digital tools in education has revolutionized teaching practices, yet comprehensive evidence of their educational impact remains limited. A 2023 UNESCO report reveals that while 78% of classrooms now employ educational technology, only 32% of educators receive sufficient training to implement these tools effectively. This discrepancy emphasizes the importance of examining how technology can truly enhance learning when properly integrated with pedagogical methods. This study investigates the effects of pedagogically-informed technology use on student achievement, identifying the most effective combinations of digital resources and teaching approaches across various educational settings. Employing a mixed-methods design, the research analyzed 185 studies (2018-2023) from major databases, along with classroom observations across 15 nations. Qualitative insights from 250 educators revealed implementation challenges. Three key factors emerged as crucial for success: teacher expertise in technology-enhanced pedagogy (β=0.63), curriculum integration (β=0.57), and student digital competence (β=0.49). The results underscore that meaningful educational technology integration requires deliberate pedagogical design, not merely technological access, highlighting the critical need for professional development focused on pedagogical-technological knowledge.
THE ROLE OF NON-TIMBER FOREST PRODUCTS IN RURAL LIVELIHOODS Razak, Faisal; Amir, Syafiq; Farah, Rina
Journal of Selvicoltura Asean Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i2.2028

Abstract

Non-timber forest products (NTFPs) have long been integral to the livelihoods of rural communities, providing essential resources for food, medicine, income, and cultural practices. Despite their importance, the role of NTFPs in improving rural welfare is often underexplored in scientific research. Understanding their contribution is critical for sustainable development and rural poverty alleviation. This study aims to assess the role of NTFPs in the livelihoods of rural populations, exploring their economic, social, and environmental significance. It further seeks to identify the challenges and opportunities surrounding the sustainable use of these resources. The research adopts a mixed-methods approach, combining qualitative interviews with local communities and quantitative data collection through surveys. Fieldwork was conducted in selected rural areas where NTFPs are a key resource. Data were analyzed using descriptive statistics and thematic analysis. Findings reveal that NTFPs significantly contribute to household income, particularly in communities with limited access to formal employment. They also play a vital role in maintaining cultural practices and providing food security. However, overharvesting and inadequate policy frameworks threaten their sustainability. NTFPs are crucial for rural livelihoods, but their continued availability depends on effective management strategies that balance economic needs with environmental conservation. Policy interventions should focus on promoting sustainable harvesting practices and supporting local communities in managing these resources.  
Co-Authors Amir, Syafiq Arif Muzayin Shofwan, Arif Muzayin Atmaja, Suhendra Buka, Sisilia Prima Yanuaria Dwiatmanto Dwiatmanto Endro Baruno, Yosep Heristyo Farah, Rina Fathoni, Mohammad Hafizni, Moh. Haruni Ode Idris, Haziq Judijanto, Loso Khairani, Misbahul Maertias, Maertias Miksusanti Miksusanti Muhammad Muhammad Muntasir, Muntasir Nampira, Ardi Azhar Nizam, Zain Nurul Huda Putra, Febi Nuris Rahman, Rashid Ratna Rintaningrum, Ratna Rokhyanto Rokhyanto, Rokhyanto Sari, Wardani Purnama Silvester Magnus Loogman Palit Som, Rit Umi Salamah Widiharto Purnomo WIJAYA WIJAYA, WIJAYA Wulan, Dyah Retno Zaki, Amin