Hasil untuk "Islam"

M. U. Chapra

Abdullah Şahin

This paper examines two sets of interrelated issues informing contemporary discussions on Islam and education that take place within both Muslim majority and minority contexts. The first set of issues concerns the academic conceptualisation of the study of education within diverse historical and contemporary Islamic cultural, intellectual, political, theological and spiritual traditions. After a critical examination of the current literature, the paper suggests that ‘Islamic Education Studies’ offers a distinctive academic framing that incorporates an interdisciplinary empirical and scholarly inquiry strategy capable of generating a body of knowledge and understanding guiding the professional practice and policy development in the field. Lack of conceptual clarity in various current depictions of the field, including ‘Muslim Education’, ‘Islamic Pedagogy’, ‘Islamic Nurture’ and ‘Islamic Religious Pedagogy’, is outlined and the frequent confusion of Islamic Education with Islamic Studies is critiqued. The field of Islamic Education Studies has theological and educational foundations and integrates interdisciplinary methodological designs in Social Sciences and Humanities. The second part of the inquiry draws attention to the lack of new theoretical insights and critical perspectives in Islamic Education. The pedagogic practice in diverse Muslim formal and informal educational settings does not show much variation and mostly is engaged with re-inscribing the existing power relations shaping the society. The juxtaposition of inherited Islamic and borrowed or enforced Western secular educational cultures appears to be largely forming mutually exclusive, antagonistic and often rigid ‘foreclosed’ minds within contemporary Muslim societies. The impact of the educational culture and educational institutions on the formation of resentful Islamic religiosities and the reproduction of authoritarian leadership within the wider mainstream Muslim communities have not been adequately explored. The study stresses the need to have a paradigm shift in addressing this widely acknowledged educational crisis. The formation of a transformative educational culture remains the key to being able to facilitate reflective and critical Muslim religiosities, and positive socio-economic and political change in Muslim majority and minority societies. This inquiry explores a significant aspect of this crisis by re-examining the degree to which Islamic and Western, liberal, secular conceptions and values of education remain irreconcilably divergent or open to a convergent dialogue of exchange, reciprocity and complementarity. The originality of the paper lies in offering a critical rethinking of Islamic Education through mapping the main relevant literature and identifying and engaging with the central theoretical issues while suggesting a new academic framing of the field and its interdisciplinary research agenda.

Sayd Farook, Roman Lanis, Kabir M. Hassan

Imam Mujahid

Pesantren (Islamic boarding school) has been contributing to build moderate character for Muslims in Indonesia towards globalization. However, amid peaceful Islam disseminated in the country, nowadays, radical Muslim movement challenges this character. This study aims to describe the construction of turats (traditional Muslim virtues), which has been taught in pesantren as an orthodox teachings legacy, to create young Muslim with moderate attitude through character education. It will also highlight about how and why character education with Islamic orthodoxy content is necessary to be inculcated in pesantren to produce moderate Muslim. Qualitative research was employed in this study, with a case study approach. In doing so, data collection was carried out through interviews, observation, and documents analysis techniques. The results demonstrated that the moderate character building based on the modernization of turats is derived from the renowned dogma of the ushul fiqh (traditional Islamic Jurisprudence); al muhafadhatu 'ala al-qadim as-sholih wal akhdu bi al-jadid al-ashlah (maintaining good tradition and employing the new-better one). It also revealed that within 24 hours pesantren learning activities, this jargon is disseminated to the students through the concept of Islamic guidance. In this concept, moderate character values infused to the student’s activities are rooted to the Qur'an (Muslim holy book) and Hadits (Prophet’s wisdom) as the religious foundation, the founding fathers’ vision (historical foundation), the pesantren mission (institutional foundation), and the contextual experience (empirical foundation) as well as the dynamic challenges of the globalization. The entire character education process paves a pivotal way to the moderate Muslim generation creation.

Molina Ibrahim, Shahidul Islam, Okundaye Zohriah et al.

This research aims to explore how Islamic education addresses contemporary ethical and moral issues and informs ethical discourse and practice in educational contexts. It covers topics like social justice, environmental ethics, and digital ethics, highlighting the unique contributions of Islamic teachings to ethical awareness, moral development, and social responsibility. Utilizing a systematic methodology, the review comprehensively examines literature from multiple databases, focusing on peer-reviewed articles that discuss the integration of Islamic ethics in education. Key findings include the emphasis on character development, community engagement, and the transformative potential of Islamic education in fostering a just and compassionate society. These insights offer valuable guidance for educators and policymakers to develop curricula and policies that effectively integrate Islamic ethics, promoting ethical education and moral outcomes within Islamic contexts. Research Highlights: Integration of Islamic Ethics in Curriculum: Research underscores the successful integration of Islamic ethics into educational curricula, emphasizing character development and moral cultivation across various subject areas. Community Engagement and Collaboration: Studies highlight the importance of community engagement and collaboration in promoting ethical awareness and social responsibility among learners within Islamic educational settings. Transformative Potential of Islamic Education: The literature reveals the transformative potential of Islamic education in fostering a more just, compassionate, and ethically conscious society through the promotion of ethical awareness, moral development, and social responsibility. Implications for Educators and Policymakers: Findings provide actionable insights for educators and policymakers to develop innovative curriculum designs, pedagogical practices, and policy initiatives that promote ethical education within Islamic contexts, fostering a culture of integrity, compassion, and social responsibility among learners

Muh. Bachtiar Aziz, Fitriani, A. Anwar et al.

The decision of parents in Bone, South Sulawesi, to send their children to private Islamic schools is significantly influenced by the integration of religious education and Bugis cultural values, particularly the concept of siri' na pacce. This study aims to examine how Bugis cultural heritage impacts school selection and how private Islamic schools cater to these needs by incorporating programs that reinforce both religious and local values. Using a qualitative approach with a phenomenological design, the research involved in-depth interviews with 15 parents. The results indicate that private Islamic schools are more responsive to parental expectations than public schools, offering a curriculum that blends Bugis religious and cultural education. The study identifies five main factors influencing parents’ decisions: preservation of cultural identity, strengthening religious values, harmonizing modern and traditional education, promoting culture-based character formation, and preparing students for globalization while maintaining cultural roots. Private Islamic schools in Bone have developed educational models that integrate Islamic teachings with local norms (pangngadereng) in response to community needs. This research highlights the importance of cultural heritage in educational decision-making and the role of private institutions in adapting to cultural expectations. The findings offer valuable insights for developing education policies that embrace local wisdom and for creating school management models that respect cultural diversity within Indonesia’s education system.

J. Manajemen, Pendidikan Islam, Tsamar Nur Aini et al.

This study aims to analyze the value-based branding strategy in Islamic boarding schools as an effort to maintain traditional identity amidst the rapid flow of digitalization and globalization. Although many other educational institutions have implemented digital branding, its application in the context of Islamic boarding schools is still limited. The study employs a qualitative approach, utilizing case studies of two Islamic boarding schools to explore how these institutions integrate traditional Islamic values into their branding strategies through in-depth interviews, observations, and document analysis. The results of the study indicate that Islamic boarding schools have successfully combined values such as sincerity, simplicity, and social benefits in their branding to maintain relevance in the modern era, thereby strengthening character through a balance with digitalization. The findings emphasize the importance of value-based branding strategies as a research contribution in strengthening the position of Islamic boarding schools as moral and spiritual educational institutions. The study's implications suggest that implementing strategies not only enhances the competitiveness of Islamic boarding schools but also strengthens their relationships with local and global communities, thereby supporting the continuity of Islamic boarding school education in the digital era.

Jurnal Pendidikan, Agama Islam, Septiani Selly Susanti et al.

Purpose – The purpose of this study is to discover and describe the form of innovation in Islamic religious learning that uses digital media/social media as an effective and relevant learning medium in keeping with the demands of technological developments. This study also investigates Islamic Religious Education (PAI) activities in using technology that inspires learning through social media applications. Design/methods/approach – This study used a literature research method with a qualitative approach. Research data was collected from a variety of sources, including books, scientific journals, proceedings, and other relevant publications. This study used a data analysis paradigm that included data collection, reduction, presentation, and conclusion. Findings – The researcher obtained five (5) types of social media applications used by PAI teachers. The study is also restricted by vulnerable years limited to 2019-2023. Accordingly, the social media used by PAI teachers in learning have included (1) Tik-Tok (6 journals), (2) YouTube (10 journals), (3) WhatsApp (9 journals), (4) Facebook (6 journals), and (5) Instagram (5 journals) with a total of 36 journals. PAI teachers have played a role in education transformation by utilizing technology as a more interactive, accessible, effective, and compelling learning medium. Research implications/limitations – The data sources obtained were only limited to online scientific literature. Therefore, the researcher's suggestion for future researchers is to conduct practice field research to allow more accurate results according to the conditions of problems in the field. Originality/Value – The findings of this study provide an overview of the form of learning innovation that has been carried out in PAI learning with the use of digital media. This finding is also a reference for future researchers to make it easier to find a novelty result.

Amirotu Diana, Mohammad Zakki Azani, M. M.

The digital age has brought great changes in the world of Islamic religious education. Educational activities become more effective and efficient with the presence of digital devices. In learning activities, it is hoped that a community will be formed that can utilize digital devices or media to encourage the creation of quality learning and accommodate the potential and participation of students. The purpose of this study is to analyze the relevance of Islamic education in the digital era. The method used in this research is in the form of literature studies, and the form of qualitative research. The results of the study found that the era of globalization has had a significant impact on Islamic education, including first, along with the increasingly sophisticated technology, it is easier to obtain various types of information. The task of national education in the era of globalization places great emphasis on the value system and philosophy, where the philosophy of Islamic education is the concept of thinking about education based on Islamic religious teachings regarding the nature of human abilities so that they can be developed and guided to become human beings whose entire personality is imbued with Islamic teachings. Second, the pressures of globalization place a qualified, educated and skilled workforce. Third, collaboration in schools is very important, especially the influence of globalization and international cooperation in the field of education. Thus, the relevance-integration of the concept and context of Islamic studies with the era of globalization is very important as an effort to appreciate the worldview of the dynamics and progress of education in the era of globalization.

M. Muslim

This study analyzes the integration of digital technology into Islamic education to address moral challenges in the digital era. Employing a literature review with content analysis, this research evaluates primary and secondary sources, including academic journals, government reports, and authoritative references. The findings reveal that digital technology, such as augmented reality (AR) and artificial intelligence (AI), offers transformative opportunities for Islamic education by enhancing learning engagement, accessibility, and interactivity. However, integrating these tools poses risks, including diminished moral values, reduced religious literacy, and dependency on technology, which require strategic interventions. This study emphasizes the importance of aligning technological advancements with Islamic principles to uphold spiritual and ethical integrity while fostering innovation in teaching and learning methods. Recommendations include the development of technology-based curricula that harmonize religious and scientific knowledge, training programs for educators to effectively utilize digital tools, and policies to mitigate negative impacts on student character and behavior. Furthermore, the application of AR in Islamic studies and AI-based personalized learning provides immersive and meaningful educational experiences, fostering intellectual and moral growth. This research contributes insights into leveraging digital tools to adapt Islamic education to the demands of the digital age while maintaining its foundational values. Future studies are encouraged to explore the long-term impacts of technology integration across various educational levels to ensure sustainable and effective Islamic education reform.

Robiul Islam, Dmitry I. Ignatov, Karl Kaberg et al.

This study investigates the performance of classifiers across EEG frequency bands, evaluating efficient class prediction for the left and right hemispheres using various optimisers. Three neural network architectures a deep dense network, a shallow three-layer network, and a convolutional neural network (CNN) are implemented and compared using the TensorFlow and PyTorch frameworks. Adagrad and RMSprop optimisers consistently outperformed others across frequency bands, with Adagrad excelling in the beta band and RMSprop achieving superior performance in the gamma band. Classical machine learning methods (Linear SVM and Random Forest) achieved perfect classification with 50--100 times faster training times than deep learning models. However, in neurofeedback simulations with real-time performance requirements, the deep neural network demonstrated superior feedback-signal generation (a 44.7% regulation rate versus 0% for classical methods). SHAP analysis reveals the nuanced contributions of EEG frequency bands to model decisions. Overall, the study highlights the importance of selecting a model dependent on the task: classical methods for efficient offline classification and deep learning for adaptive, real-time neurofeedback applications.

Gaith Rjouba, Hanae Elmekki, Saidul Islam et al.

The combination of Federated Learning (FL), Multimodal Large Language Models (MLLMs), and edge-cloud computing enables distributed and real-time data processing while preserving privacy across edge devices and cloud infrastructure. However, the deployment of MLLMs in FL environments with resource-constrained edge devices presents significant challenges, including resource management, communication overhead, and non-IID data. To address these challenges, we propose a novel hybrid framework wherein MLLMs are deployed on edge devices equipped with sufficient resources and battery life, while the majority of training occurs in the cloud. To identify suitable edge devices for deployment, we employ Particle Swarm Optimization (PSO), and Ant Colony Optimization (ACO) is utilized to optimize the transmission of model updates between edge and cloud nodes. This proposed swarm intelligence-based framework aims to enhance the efficiency of MLLM training by conducting extensive training in the cloud and fine-tuning at the edge, thereby reducing energy consumption and communication costs. Our experimental results show that the proposed method significantly improves system performance, achieving an accuracy of 92%, reducing communication cost by 30%, and enhancing client participation compared to traditional FL methods. These results make the proposed approach highly suitable for large-scale edge-cloud computing systems.

Rafiul Islam, Jihad Khan Dipu, Mehedi Hasan Tusar

With over 2 million new cases identified annually, skin cancer is the most prevalent type of cancer globally and the second most common in Bangladesh, following breast cancer. Early detection and treatment are crucial for enhancing patient outcomes; however, Bangladesh faces a shortage of dermatologists and qualified medical professionals capable of diagnosing and treating skin cancer. As a result, many cases are diagnosed only at advanced stages. Research indicates that deep learning algorithms can effectively classify skin cancer images. However, these models typically lack interpretability, making it challenging to understand their decision-making processes. This lack of clarity poses barriers to utilizing deep learning in improving skin cancer detection and treatment. In this article, we present a method aimed at enhancing the interpretability of deep learning models for skin cancer classification in Bangladesh. Our technique employs a combination of saliency maps and attention maps to visualize critical features influencing the model's diagnoses.

Anika Islam, Tasfia Tahsin, Zaarin Anjum et al.

Accurate and timely identification of plant leaf diseases is essential for resilient and sustainable agriculture, yet most deep learning approaches rely on large annotated datasets and computationally intensive models that are unsuitable for data-scarce and resource-constrained environments. To address these challenges we present a few-shot learning approach within a lightweight yet efficient framework that combines domain-adapted MobileNetV2 and MobileNetV3 models as feature extractors, along with a feature fusion technique to generate robust feature representation. For the classification task, the fused features are passed through a Bi-LSTM classifier enhanced with attention mechanisms to capture sequential dependencies and focus on the most relevant features, thereby achieving optimal classification performance even in complex, real-world environments with noisy or cluttered backgrounds. The proposed framework was evaluated across multiple experimental setups, including both laboratory-controlled and field-captured datasets. On tomato leaf diseases from the PlantVillage dataset, it consistently improved performance across 1 to 15 shot scenarios, reaching 98.23+-0.33% at 15 shot, closely approaching the 99.98% SOTA benchmark achieved by a Transductive LSTM with attention, while remaining lightweight and mobile-friendly. Under real-world conditions using field images from the Dhan Shomadhan dataset, it maintained robust performance, reaching 69.28+-1.49% at 15-shot and demonstrating strong resilience to complex backgrounds. Notably, it also outperformed the previous SOTA accuracy of 96.0% on six diseases from PlantVillage, achieving 99.72% with only 15-shot learning. With a compact model size of approximately 40 MB and inference complexity of approximately 1.12 GFLOPs, this work establishes a scalable, mobile-ready foundation for precise plant disease diagnostics in data-scarce regions.

Rizki Muthmainnah Amir, Arismunandar Arismunandar, Nurhikmah H

This study employs a research and development approach to identify the need, design, validity, practicality, and effectiveness of website-based digital teaching materials for the Jarimatika Qur'an Method as local content. The development process follows the 4D model (Define, Design, Develop, and Disseminate). Data collection involved observations, document analysis, and questionnaires, analyzed quantitatively and qualitatively. The study participants included media and content experts, one first-grade teacher, and 21 first-grade students. The results indicate that: (1) students require website-based digital teaching materials to enhance their learning experience; (2) the developed digital teaching material was successfully implemented in the form of a website; (3) expert validation confirmed that the materials are valid and feasible for use; (4) teacher feedback classified the material as practical; and (5) effectiveness analysis based on student learning outcomes demonstrated a significant improvement (p<0.05). This study suggests that website-based digital teaching materials facilitate independent learning and enhance students' engagement in Qur'an memorization.

Chaiti Saha, Shova Pandit, Md Motaher Hossain et al.

Rice blast caused by Pyricularia oryzae (syn. Magnaporthe oryzae ) is one of the most devastating diseases in rice, resulting in substantial yield loss. Currently, the control of rice blast relies significantly on chemical fungicides, which raise numerous environmental concerns. However, silver nanoparticles (AgNPs) are emerging as innovative, non-resistant substitutes for conventional fungicides. This study aimed to synthesize AgNPs from banana flowers via a green approach and assess their antifungal activity against Pyricularia oryzae strain SP2 in vitro . The pathogen Pyricularia oryzae strain SP2 was identified by morphological features and study of the internal transcribed spacer (ITS) sequence. The AgNPs were characterized via UV–Vis spectroscopy, Fourier transform infrared spectroscopy (FTIR), x-ray diffraction (XRD), transmission electron microscopy (TEM) and energy-dispersive x-ray analysis (EDX). The optimal reaction conditions for the green synthesis of the AgNPs resulted in a rapid color change from light yellow to dark brown when the floral extract (15 ml) was added. A surface plasmon resonance peak was observed in the UV-visible spectrum at approximately 433 cm ^−1 , which was correlated with the synthesis of the AgNPs. The biogenic AgNPs had a spherical form with an average particle size of 47.63 nm, according to TEM and SEM examination. The greatest mycelial growth inhibition of P. oryzae (87.25%) was observed when it was exposed to biofabricated AgNPs at 40 μg ml ^−1 . The AgNPs successfully suppressed spore germination and germ tube development of P. oryzae , with increased doses demonstrating enhanced antifungal efficacy. Additionally, the appressorium formation rates decreased from 78.34% in the control to 41.67%, 16.45%, and 4% at increasing concentrations (20, 30, 40 μg ml ^−1 ). Overall, this study demonstrated that bioinspired AgNPs have antifungal activity against the rice blast pathogen P. oryzae and can be used to control blast diseases in rice.

Jurnal Pendidikan, Agama Islam, M. Sidik et al.

Purpose – The authors aim to compare Imam Hatip School (IHS) with MAN Insan Cendekia (MAN IC), two Islamic educational institutions that have successfully implemented an Islamic religious education curriculum integrated with general science. Design/methods/approach – This study used a literature review research method that examined several sources and government documents in three languages. The data collection technique was conducted by extracting and evaluating information in articles that meet the inclusion criteria. Once extracted and evaluated, the authors analyzed and interpreted the data. Findings – The integrated curriculum of Islamic education in IHSs aims to anticipate extreme, radical understandings and rejection of the state that implements the secular system. It will form the nature and attitude of tolerance among fellow citizens, allowing it to reduce social conflicts. The IHSs has implemented the integrated Islamic education curriculum by adopting a modern education system. The implementation of the integrated PAI curriculum at MAN IC aims to eliminate the paradigm and praxis of the dichotomy of science. MAN IC adopts an integrated Islamic religious education curriculum based on the traditional Islamic system with a mandatory policy to stay at a dorm for students, where religious activities are more emphasized when students are in the dormitory. Research implications/limitations – This research still has limitations due to a limited literature review and verification study in closed terms on our respondent informants. Therefore, further research is required to deepen the examination in this study. Originality/value – The findings in this study have included the aspects of policy, strategy, content or material development, and the implementation results of the integrated PAI curriculum in the two institutions. Those aspects build a socio-cultural identity, allowing it to develop the school in the realm of progress and achievement. The expectation is that this research can become an example for the development of Islamic Education Institutions in integrating the PAI curriculum.

T. Islam, Saima Ahmad, A. Kaleem et al.

PurposeThe purpose of this paper is to extend the scant literature on the effect of abusive supervision on knowledge sharing by examining the roles of Islamic work ethic and learning goal orientation in moderating the effect.Design/methodology/approachThis paper utilizes a cross-lagged survey research design to collect data from 735 employees working in the services and manufacturing sectors of Pakistan.FindingsThe data analysis revealed that abusive supervision has a damaging effect on knowledge sharing in the workplace. However, employee learning goal orientation and the Islamic work ethic help in mitigating this detrimental effect.Research limitations/implicationsThe main theoretical implication is to advance knowledge on the boundary conditions that help in mitigating the undesirable effect of abusive supervision on sharing of knowledge in organizational settings.Practical implicationsThis paper provides practical insights into mitigating the damaging effects of abusive supervision, a prevalent issue in Asian societies, through the lenses of Islamic business ethics and learning goal orientation.Originality/valueThis is the first study that examines the boundary conditions placed by the Islamic work ethic and learning goal orientation around the relationship between abusive supervision and knowledge sharing in the context of Pakistan.

Muhammad Islam, Niroshinie Fernando, Seng W. Loke et al.

We propose Blockchain-enabled Device-enhanced Multi-access Edge Computing (BdMEC). BdMEC extends the Honeybee framework for on-demand resource pooling with blockchain technology to ensure trust, security, and accountability among devices (even when they are owned by different parties). BdMEC mitigates risks from malicious devices by making computations traceable. Our prototype and results demonstrate BdMEC's ability to manage distributed computing tasks efficiently and securely across multiple devices.

Amr El-Azizi, Sharfin Islam, Pedro Piacenza et al.

In this paper, we introduce a sensor designed for integration in robot fingers, where it can provide information on the displacements induced by external contact. Our sensor uses LEDs to sense the displacement between two plates connected by a transparent elastomer; when a force is applied to the finger, the elastomer displaces and the LED signals change. We show that using LEDs as both light emitters an receivers in this context provides high sensitivity, allowing such an emitter and receiver pairs to detect very small displacements. We characterize the standalone performance of the sensor by testing the ability of a supervised learning model to predict complete force and torque data from its raw signals, and obtain a mean error between 0.05 and 0.07 N across the three directions of force applied to the finger. Our method allows for finger-size packaging with no amplification electronics, low cost manufacturing, easy integration into a complete hand, and high overload shear forces and bending torques, suggesting future applicability to complete manipulation tasks.