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All Journal Al-Hijr: Journal of Adulearn World Journal International Inspire Education Technology (JIIET) World Psychology Journal of Noesantara Islamic Studies Journal of Moeslim Research Technik Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Techno Agriculturae Studium of Research Research of Scientia Naturalis Journal of Social Entrepreneurship and Creative Technology Journal of Humanities Research Sustainability Islamic Studies in the World Journal Markcount Finance Sharia Oikonomia Law Journal Journal Neosantara Hybrid Learning Journal of World Future Medicine, Health and Nursing Rechtsnormen: Journal of Law International Journal of Language and Ubiquitous Learning
Amin Zaki
Universiti Islam
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Physics Social Sciences Other

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The Integration of Sufism in Contemporary Indonesian Islam: The Case of Urban and Rural Communities Wijaya Wijaya; Abdillah Rofiif Fatin Ritonga; Amin Zaki; Ahmed Hossam
Islamic Studies in the World Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/isw.v2i1.2121

Abstract

Background. Sufism has historically played a central role in shaping Islamic spirituality in Indonesia, yet its presence and function in contemporary contexts—particularly among urban and rural communities—remain underexplored. Amid the dynamic religious landscape of modern Indonesia, marked by increasing pluralism, conservatism, and digital religiosity, the integration of Sufi practices and values continues to adapt and evolve in nuanced ways. Purpose. This study aims to examine how Sufism is practiced, perceived, and institutionalized within both urban and rural Muslim communities in Indonesia. The research investigates the social, spiritual, and cultural factors that influence the persistence and transformation of Sufi traditions in the context of modern life. Method. Employing a qualitative comparative approach, the study conducted fieldwork in two locations: a metropolitan city (Jakarta) and a rural district in Central Java. Data were collected through in-depth interviews with 30 participants including religious leaders, followers of various tariqas (Sufi orders), and community members, supported by participant observation and document analysis. Results. Findings reveal that urban Sufi communities emphasize symbolic spirituality, self-development, and integration with digital platforms, while rural counterparts maintain traditional rituals, communal dhikr, and strong lineage-based networks. Despite contextual differences, both settings reflect a shared commitment to inner transformation and ethical living, with Sufism offering a counterbalance to materialism and ideological rigidity. Conclusion. The study concludes that Sufism continues to serve as a meaningful spiritual resource in Indonesian Islam, adapting to socio-cultural shifts while maintaining its core emphasis on personal piety and social harmony.
The Green Imam: An Analysis of Eco-Theology and Community-Based Climate Change Mitigation in Indonesian Mosques Nurul Huda; Amin Zaki; Faisal Razak
Islamic Studies in the World Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/isw.v2i3.2672

Abstract

Growing ecological degradation and rising climate vulnerabilities in Indonesia have prompted renewed interest in faith-based environmental engagement, yet the role of mosques as community hubs for climate action remains insufficiently defined. Previous studies often assume that religious leaders automatically possess ecological authority, overlooking the varied interpretations of eco-theology within local Islamic practices. This study investigates how the figure of the Green Imam—a religious leader advocating environmental ethics—can shape community-based climate change mitigation in Indonesian mosques. The research aims to analyze the theological foundations of Islamic eco-ethics, examine the agency of imams in mobilizing environmental awareness, and evaluate community responses to mosque-based climate initiatives. A qualitative design was employed, combining textual analysis of eco-theological literature, semi-structured interviews with imams from diverse regions, and case studies of mosque-led environmental programs such as waste management, tree planting, and sustainable water use. Findings indicate that eco-theology provides a compelling moral narrative that strengthens local climate action, but its effectiveness depends on the imam’s interpretive framing, leadership style, and the socio-cultural character of the congregation. Mosques implementing structured environmental programs demonstrated higher levels of community participation and stronger behavioral shifts compared to those relying solely on sermons. However, uneven ecological literacy among imams and limited institutional support remain persistent challenges. The study concludes that the Green Imam model can serve as a catalyst for climate mitigation when supported by coherent theological grounding, community empowerment strategies, and collaborative networks with governmental and civil-society actors. Strengthening eco-theological literacy and institutionalizing environmental programs in mosques are essential for long-term sustainability.
Optimizing Urban Drainage Systems to Cope with Continuous Flooding Amin Zaki; Nurul Huda; Syafiq Amir
Journal of Moeslim Research Technik Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i4.1554

Abstract

Urban flooding has become a significant challenge in many cities worldwide, exacerbated by climate change, rapid urbanization, and inadequate drainage systems. Effective management of urban drainage is crucial for mitigating flood risks and enhancing resilience in urban environments. This research addresses the pressing need for optimized drainage systems to respond to sustained flooding events. The study aims to evaluate and optimize urban drainage systems to improve their efficiency in flood management. It seeks to identify key factors influencing drainage performance and propose strategies for enhancement. A mixed-methods approach was employed, combining quantitative modeling and qualitative assessments. Hydraulic models were developed to simulate drainage system performance under various rainfall scenarios. Additionally, interviews with urban planners and engineers were conducted to gather insights on current challenges and potential solutions. The findings reveal that many urban drainage systems are operating below their optimal capacity, leading to frequent flooding during heavy rainfall events. Key factors identified include insufficient infrastructure, poor maintenance practices, and lack of integrated planning. The research proposes a set of optimization strategies, including the implementation of green infrastructure and improved maintenance protocols. The study concludes that optimizing urban drainage systems is essential for effectively managing urban flooding. Policymakers and urban planners must prioritize investments in drainage infrastructure and adopt innovative strategies to enhance resilience against flooding. Future research should focus on long-term monitoring and evaluation of implemented solutions to ensure ongoing effectiveness in flood management.
Ultra-Sensitive Quantum Sensor for Detection of Pollutants in Water Mohammad Fathoni; Amin Zaki; Faisal Razak
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.
Developing a Creative Learning Model to Increase Middle School Students’ Interest in Reading Amin Zaki; Nurul Huda; Syafiq Amir
Journal of Loomingulisus ja Innovatsioon Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v1i4.1705

Abstract

The decline in reading interest among middle school students is a growing concern in the field of education. Despite the increasing availability of digital content, traditional reading remains critical for developing cognitive and analytical skills. Previous studies have highlighted the need for innovative learning models to engage students and foster a love for reading. This study aims to develop and evaluate a creative learning model designed to enhance middle school students’ interest in reading. The model focuses on incorporating interactive and engaging activities that connect reading materials with students’ daily lives and interests. A mixed-method approach was used, combining qualitative and quantitative data collection techniques. The sample consisted of 150 middle school students from three schools. A pretest-posttest design was employed to assess changes in students’ reading interest, complemented by interviews and observations for qualitative insights. The findings revealed a significant increase in students’ interest in reading, as evidenced by improved survey scores and positive feedback from both students and teachers. The creative learning model effectively engaged students, making reading more enjoyable and relevant to their personal experiences. The creative learning model proved successful in increasing middle school students’ reading interest. It emphasizes the importance of developing innovative teaching strategies to foster a lasting interest in reading, contributing to improved academic outcomes.  
INTERGROUP CONFLICTS AND SOCIAL HARMONY: A STUDY OF COMMUNITY INTERACTIONS IN MULTICULTURAL SOCIETIES Arif Muzayin Shofwan; Amin Zaki; Omar Khan
World Psychology Vol. 5 No. 1 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v5i1.1218

Abstract

Multicultural societies are increasingly characterized by diversity that brings both opportunities for cooperation and risks of intergroup conflict at the community level. Intergroup tensions and social harmony often coexist, yet their interaction remains insufficiently understood in empirical research. This study aims to examine how community interactions shape intergroup conflicts and social harmony in multicultural societies. A quantitative explanatory design was employed involving community members from diverse ethnic and cultural backgrounds across several multicultural neighborhoods. Data were collected using structured questionnaires measuring intergroup interaction frequency, perceived conflict intensity, and social harmony, complemented by secondary community records. Descriptive statistics, correlation analysis, and multiple regression were used to analyze the data. The results indicate that frequent and meaningful intergroup interactions are significantly associated with lower perceived conflict and higher levels of social harmony. Intergroup interaction emerged as a strong predictor of harmony, while conflict intensity negatively affected harmonious relations. The findings demonstrate that social harmony is actively constructed through everyday interactions rather than achieved by the absence of conflict. Strengthening opportunities for dialogue, shared spaces, and inclusive community engagement can enhance social cohesion. The study concludes that managing diversity through interaction-focused strategies is essential for sustaining peaceful and resilient multicultural communities globally today.
AI-POWERED TEACHING MODELS: ENHANCING PEDAGOGICAL STRATEGIES FOR THE 21ST CENTURY CLASSROOM Geischa Cicilia Mokoagow; Amin Zaki; Faisal Razak
Al-Hijr: Journal of Adulearn World Vol. 5 No. 2 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v5i2.1262

Abstract

The integration of Artificial Intelligence (AI) in education has the potential to transform teaching practices and enhance learning experiences in the 21st-century classroom. AI-powered teaching models, which incorporate personalized learning, adaptive feedback, and intelligent tutoring systems, offer new opportunities to address diverse learning needs and improve educational outcomes. This research investigates the role of AI in enhancing pedagogical strategies by examining its impact on student engagement, academic performance, and teacher efficiency. The study employs a mixed-methods approach, combining quantitative surveys and qualitative case studies across five institutions that have integrated AI tools into their teaching practices. The results indicate that students who engaged with AI-powered tools demonstrated significant improvements in both engagement (82%) and academic performance (75%), particularly through personalized learning features. Educators reported enhanced classroom efficiency, as AI tools helped automate administrative tasks and provided real-time data on student progress. The study concludes that AI-powered teaching models are effective in fostering more personalized, engaging, and efficient learning environments. These models not only support individualized learning but also enhance the broader educational experience by improving communication between students and educators. The research highlights the potential of AI in shaping the future of education and offers practical insights into its integration into pedagogical strategies.
The Precision Agriculture Revolution in the United States: The Utilization of Drone Technology and Big Data Loso Judijanto; Amin Zaki; Faisal Razak
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.
FERROELECTRIC THIN FILMS FOR NEUROMORPHIC COMPUTING: SYNTHESIS, CHARACTERIZATION, AND DEVICE INTEGRATION Nurul Huda; Amin Zaki; Nong Chai; Siti Shofiah
Research of Scientia Naturalis Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i4.2385

Abstract

The limitations of conventional von Neumann computing architectures in handling complex, data-intensive tasks have spurred significant interest in brain-inspired neuromorphic computing. A critical challenge in this field is the development of hardware that can efficiently emulate the synaptic plasticity of biological neurons. This study focuses on the synthesis, characterization, and integration of ferroelectric thin films, specifically hafnium zirconium oxide (HZO), as a promising material platform for creating artificial synaptic devices. The primary objective was to fabricate high-quality HZO thin films and demonstrate their capacity to mimic key synaptic functions. HZO films were synthesized using pulsed laser deposition, followed by comprehensive characterization of their structural, ferroelectric, and electrical properties using XRD, PFM, and I-V measurements. The optimized films were then integrated into two-terminal memristive device structures. The resulting devices successfully exhibited essential synaptic behaviors, including potentiation, depression, and spike-timing-dependent plasticity (STDP), with low energy consumption per synaptic event. The gradual and controllable modulation of ferroelectric domain switching was identified as the core mechanism enabling this analog-like resistance modulation.  
Building a Creative Startup Ecosystem: Case Study of the City of Jakarta in Indonesia Amin Zaki; Faisal Razak; Nurul Huda
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.
Co-Authors Abdillah Rofiif Fatin Ritonga Ahmed Al Fahad Ahmed Hossam Arif Muzayin Shofwan Catur Budi Susilo Dede Kurnia Putra Dwiatmanto Dwiatmanto Faiq Falahi Faisal Razak Faisal Razak Faizal Razak Geischa Cicilia Mokoagow Hendri Khuan Isabelle Ng Izzul Ashlah Leila Mahdavi Lia Amelia Loso Judijanto Makhrus Ali Mashuri Mashuri Miftah Ulya Mohammad Fathoni Morse Kathryn Nong Chai Nurul Huda Nurul Huda Omar Khan Rahmadani Rahmadani Rina Farah Rizki Dewantara Sarah Williams Scherschligt Oscar Silvester Magnus Loogman Palit Siti Shofiah Suhaimi bin Agus Suhardiman Suhardiman Syafiq Amir Wijaya Wijaya Zain Nizam