Publication Search

Arabic holds an important position in Islamic education as the language of the Qur'an and Hadith. However, the teaching of Arabic in Islamic educational institutions often focuses only on linguistic aspects, thus not fully achieving the goals of comprehensive Islamic education. This study aims to analyze the strengthening of Arabic language education objectives from the perspective of Islamic Tarbiyah. The method used in this study is qualitative, with a literature study and descriptive analysis approach. The analysis was conducted on relevant sources. The findings indicate that Arabic education within the framework of Islamic Tarbiyah not only emphasizes mastery of language skills but also the importance of shaping students' faith, morals, and Islamic character. The integration of tarbawi values into the objectives, materials, methods, and evaluation of learning becomes a key element in creating Arabic language education that is valuable and aligned with the goals of Islamic education. Its implications are expected to serve as a reference for curriculum development, teacher competence improvement, as well as the formulation of contextual, integrative, and sustainable Arabic language learning policies in national Islamic educational institutions.

Innovation in biology learning is increasingly necessary, as conventional instructional practices are often dominated by memorization-based methods that limit students’ active engagement and critical thinking development. Along with rapid advances in science and technology, digital applications offer new opportunities to enhance teaching and learning processes. One such application is Canva, a digital design platform that can be utilized as an effective learning media to support teachers and students in biology education. This study aims to describe the implementation of Canva-based learning media through a training program conducted at SMA Islam Terpadu Daarul Rahman and to examine its perceived usefulness for both teachers and students. The training involved teachers in developing biology learning materials using Canva by integrating visual elements, images, and videos to present complex biological concepts more clearly. The results of the training indicate that Canva is considered practical, user-friendly, and efficient by teachers in designing learning materials. Teachers reported that the application helped them present content in a more attractive and structured manner. Furthermore, students benefited from the use of Canva-based materials, as they demonstrated better understanding of the subject matter and increased interest in learning biology. The integration of visual and multimedia elements also supported the development of students’ critical thinking skills by encouraging analysis and interpretation of biological phenomena. Overall, the use of Canva as a learning medium shows potential to enhance the quality of biology learning and foster more meaningful learning experiences.

This study aims to analyze the effectiveness of the application of direct and indirect methods in teaching English, specifically the topic of "Telling Time," at MTs Al-Amiriyyah through microteaching practice. This research employs a descriptive qualitative approach with data collection techniques including observation, interviews, and documentation. The research subjects consist of an English teacher and the students of class VIII A. The data were thematically analyzed to identify significant patterns in the teaching process. The findings indicate that the direct method is effective in building students' foundational understanding of time concepts, as it emphasizes explicit and concrete use of the target language and allows teachers to easily assess students' comprehension through drilling. On the other hand, the indirect method proved to enhance students’ ability to use English more naturally through contextual activities such as role play and daily schedule games. Moreover, students with kinesthetic learning styles responded more positively to the indirect method, as it enables them to learn through physical activity and direct participation. These findings suggest that a combination of both methods yields optimal results: the direct method is effective for the initial stage of concept acquisition, while the indirect method supports the development of communicative skills in a functional and enjoyable manner, aligning with students' characteristics.

Empowering agricultural human resources is a strategic approach to support sustainable agricultural development and the achievement of the Sustainable Development Goals (SDGs), particularly SDG 2 (Zero Hunger), SDG 4 (Quality Education), and SDG 8 (Decent Work and Economic Growth). This community service article aims to describe the implementation of an agricultural instructor empowerment training program conducted through collaboration between Universitas Negeri Surabaya (Unesa) and the Ngudi Luhur Self-Reliant Agricultural and Rural Training Center (P4S) in Blitar Regency. The activity involved approximately 50 participants consisting of agricultural instructors and local agricultural practitioners. The methods included Focus Group Discussions (FGDs) and field visits to superior corn cultivation areas managed by P4S. The results indicate an increase in participants’ understanding of the importance of agricultural innovation and technology utilization to enhance productivity, supported by experiential learning through direct observation of high-yield corn fields compared to conventional practices. This program strengthens the role of agricultural instructors as innovation dissemination agents and contributes to the achievement of sustainable development goals in the agricultural sector.

This study aims to analyze the effect of the implementation of the Intelligent Tutoring Sistem (ITS) based on Artificial Intelligence (AI) on improving the understanding of mathematical concepts, especially in fractional and basic geometry materials, in Class V students of SD Negeri 2 Badran, Temanggung Regency. The research method used was a quasiexperimental experiment with a Non-equivalent Control Group Design. The research sample consisted of 48 students who were divided into two groups, namely the experimental group (n=24) who received learning with the help of AI-based ITS, and the control group (n=24) who received conventional learning with lecture methods and practice questions. The research instrument is in the form of a test of understanding of mathematical concepts that has been validated by experts and tested for reliability. Data were analyzed using parametric statistical tests of the Independent Sample t-test and N-Gain Score to measure the improvement. The results showed that there was a significant difference in understanding of mathematical concepts between the experimental group and the control group. The average post-test score of the experimental group (82.45) was significantly higher than that of the control group (70.12) with a p< value of 0.05. N-Gain analysis showed that the improvement in conceptual understanding in the experimental group was in the "moderate" category (g=0.56), while the control group was in the "low" category (g=0.32). These findings indicate that AI-based ITS is effective in improving students' understanding of mathematical concepts. The advantages of the system lie in its ability to provide instant feedback, personalize materials according to learning pace, and present interactive materials, thus helping to better construct students' conceptual understanding. It is recommended that schools consider the integration of ITS technology as a supplementary tool in mathematics learning at the elementary level.

Heritage language loss among immigrant and diaspora communities represents a critical challenge to cultural identity, intergenerational communication, and cognitive diversity. Traditional heritage language maintenance approaches face significant barriers including limited resources, lack of qualified instructors, geographic dispersion, and competing demands of dominant language acquisition. This study investigates the effectiveness of bilingual digital story applications as innovative tools for heritage language maintenance among children aged 4-12 years. Through a 24-month longitudinal mixed-methods study involving 1,843 families across eight language communities (Spanish, Mandarin, Arabic, Korean, Tagalog, Vietnamese, Hindi, and Polish), we examined language proficiency development, cultural identity formation, family engagement patterns, and app usage behaviors. Quantitative analysis of pre- and post-intervention language assessments revealed statistically significant improvements in heritage language vocabulary (effect size d=0.68), listening comprehension (d=0.54), and oral production (d=0.47) among children using bilingual story apps for at least 20 minutes daily. Qualitative findings from parent interviews and child focus groups highlighted the apps' role in making heritage language learning enjoyable, facilitating parent-child interaction, connecting children to cultural narratives, and normalizing bilingualism. However, effectiveness varied substantially based on app design features, with interactive elements, culturally authentic content, parent involvement scaffolds, and adaptive difficulty showing strongest associations with outcomes. This research demonstrates that thoughtfully designed bilingual story apps can serve as accessible, scalable tools for heritage language maintenance, though they function most effectively as complements to rather than substitutes for rich home language environments and community connections. The study contributes empirical evidence to inform app development, family language planning, and policies supporting linguistic diversity in increasingly globalized societies.

This study aims to analyze the implementation of the Independent Curriculum in third-grade students at Al-Munawarah Elementary School, Sentani, Jayapura Regency. Using a qualitative approach with data collection techniques through observation, interviews, and documentation, this study evaluated three main aspects: planning, implementation, and evaluation of learning. The results showed that during the planning stage, teachers developed teaching modules that referred to Learning Outcomes (CP) and prepared assessment instruments in the form of projects and prompt questions. During the implementation stage, teachers implemented an inquiry-based learning model to encourage student engagement and utilized various media, from printed books to digital devices, which positively impacted student engagement in class. During the evaluation stage, teachers used cultural project assessments and Student Worksheets (LKPD), accompanied by positive feedback to motivate students. Although implementation generally proceeded according to the curriculum framework, obstacles were still encountered in the application of differentiated learning because teachers tended to use lecture methods and generalize the abilities of all students. Therefore, continuous improvement is needed so that learning planning can be more aligned with the characteristics and individual needs of each student.

Background: The development of industrial technology in the Industry 4.0 era has encouraged the implementation of intelligent monitoring systems to improve machine reliability and operational efficiency. However, machine fault diagnosis systems based on artificial intelligence often face limitations in terms of interpretability because the models used are complex and difficult to explain. Objective: This study aims to develop a deep learning-based industrial machine fault diagnosis system integrated with an Explainable Artificial Intelligence (XAI) approach to improve diagnostic accuracy while providing interpretable insights for users. Method: The research method involves collecting data from industrial machine sensors consisting of vibration signals, temperature measurements, and acoustic signals, followed by data preprocessing and feature extraction processes. The processed data are then used to train a deep learning-based diagnostic model, after which explainability methods such as SHAP or LIME are applied to analyze the contribution of each feature to the model’s prediction results. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. Results: The results indicate that the proposed deep learning model achieves better performance compared to conventional machine learning methods such as Support Vector Machine and Random Forest. Furthermore, the explainability analysis reveals that vibration amplitude, increases in machine component temperature, and anomalies in acoustic signals are the main factors influencing machine fault detection. Therefore, the proposed system not only improves the accuracy of machine fault diagnosis but also provides transparency in the decision-making process, thereby supporting the implementation of predictive maintenance in smart manufacturing environments.

Learning Islamic jurisprudence (fiqh taharah) is an important foundation in developing correct worship habits in children. This community service research examines the implementation of Islamic jurisprudence (fiqh taharah) learning at Majlis Taklim Al Falah Tangerang with the aim of improving knowledge, practical skills in ablution, and the capacity of teachers in teaching children. The method used is an asset-based community development (ABCD) approach and a participatory-educational approach that combines short theory sessions, demonstrations, repeated practice, and non-written practical evaluations. Data were collected through observation, interviews, direct practice, and formative evaluations during the activities. The results show an increase in participants' conceptual understanding of hadas and najis (impurity) and improved ablution practical skills, characterized by enthusiasm, the ability to imitate the ablution sequence more accurately, and a positive response to practical learning methods. In addition, the program encourages teachers' awareness to implement skills-based evaluation and enrich learning methods according to children's characteristics. In conclusion, Islamic jurisprudence (fiqh taharah) learning at Majlis Taklim is more effective when it is practice-oriented, participatory, and sustainable; Follow-up recommendations include routine ablution practices, pedagogical training for teachers, and the provision of simple media to support learning.

This study aims to enhance elementary school students’ motivation to learn English and to identify the factors contributing to their low motivation. The research is grounded in the need to prepare students for the global era, in which English proficiency is an essential skill from an early age. The study employs a Classroom Action Research (CAR) method using the Kemmis and McTaggart model, consisting of planning, action, observation, and reflection stages. Data were collected through observations, learning outcome evaluations, and interviews with English teachers. The findings reveal that students’ low motivation is influenced by perceptions that English is difficult, the lack of engaging teaching methods, limited learning facilities, and students’ weak willingness to learn. The implemented actions—such as using songs, educational games, teaching aids, role-play activities, and interactive communication—significantly increased students’ activeness and motivation. Moreover, the study emphasizes the importance of introducing English at the elementary level, as ages 6–13 represent a critical period for language development. With appropriate external motivation and strong teacher support, English learning becomes more effective, enjoyable, and meaningful. This study recommends that English instruction continue to be implemented in elementary schools through creative teaching methods and sufficient learning facilities

In the era of the Industrial Revolution 4.0, Islamic Religious Education (PAI) must emphasize not only memorizing religious content, but also fostering advanced thinking skills such as analysis, evaluation, and creativity through the Higher Order Thinking Skills (HOTS) method. This study aims to describe the implementation of HOTS-oriented Islamic Religious Education (PAI) learning at SMAN 2 Banjit, focusing on implementation methods, supporting and inhibiting factors, and their influence on students. This study uses a qualitative descriptive methodology with data collection methods such as observation, interviews, and documentation. The subjects of the study were Islamic Religious Education (PAI) teachers. Data analysis was carried out by means of data reduction, data presentation, and drawing conclusions. The results of the study indicate that Islamic Religious Education (PAI) teachers at SMAN 2 Banjit have implemented host-based Islamic Religious Education (PAI) teaching methods. HOTS-based learning through discussion methods, advanced question and answer, and problem-based learning, but the implementation has not been evenly distributed across classes. Teachers understand the basic concepts of HOTS, but still face obstacles in preparing HOTS-based learning devices and assessment instruments. Supporting factors for implementation are the support of the principal, technological facilities, and the enthusiasm of some students. Meanwhile, emerging obstacles include a rote-oriented learning culture, unequal distribution of learning facilities, and teacher administrative burdens. The implementation of HOTS has a positive impact on improving students' critical thinking skills and argumentative skills, as well as helping them understand Islamic values ​​more contextually.

Reading literacy among 6th grade elementary students is often superficial, limiting their ability to analyze implicit meanings and connect texts to real-world contexts. This review examines the potential of deep learning as a pedagogical approach to enhance in-depth text comprehension. Deep learning emphasizes active engagement, reflection, and the construction of meaningful knowledge, aiming to foster critical thinking and improve comprehension. Recent studies highlight implementation strategies such as reflective journaling and interactive discussions, which have demonstrated significant improvements in students' critical thinking and comprehension scores (p < 0.05). These findings suggest that deep learning methods surpass traditional approaches by promoting higher-order cognitive skills, enabling students to analyze and interpret texts more effectively. However, challenges such as inadequate teacher training persist, which may hinder the full integration of deep learning techniques. To address these challenges, further research is needed to explore scalable digital tools that can support deep learning in diverse classroom settings. By examining the potential for digital integration, future studies could provide insights into how technology can facilitate the widespread adoption of deep learning strategies, making them more accessible and effective for a broader range of students. Ultimately, this review underscores the promise of deep learning in enhancing reading literacy and suggests that addressing the barriers to its implementation could have significant educational benefits.

This study examines the role of Islamic Religious Education in shaping the character of young generations in the contemporary era. Islamic Religious Education is not only focused on cognitive aspects but also emphasizes moral, spiritual, and social development. The rapid development of technology and globalization has influenced the lifestyle and mindset of youth, creating challenges in maintaining ethical values and noble character. This research aims to analyze how Islamic Religious Education contributes to the formation of students’ character, including honesty, responsibility, discipline, tolerance, and social awareness. The research method uses a qualitative descriptive approach through literature review and analysis of relevant educational practices. The results show that effective Islamic Religious Education can strengthen students’ moral awareness, develop positive behavior, and build spiritual intelligence. Teachers play a significant role as role models in integrating Islamic values into daily life. Therefore, strengthening curriculum, learning methods, and collaboration between schools, families, and communities is essential to optimize the role of Islamic Religious Education in forming a morally upright and responsible young generation.

This study examines students’ perceptions of the use of online platforms for English listening practice. The research employs a mixed-methods approach involving 150 undergraduate students through questionnaires and semi-structured interviews. The findings indicate that the majority of students hold positive attitudes toward the use of online platforms, primarily due to time flexibility, diverse content, and the ability to learn independently. Nevertheless, several challenges were identified, including internet connectivity issues that disrupt the learning experience, a lack of personalized feedback, and difficulties in maintaining learning motivation. Features such as adjustable playback speed, the availability of transcripts, and interactive exercises received high levels of satisfaction. Overall, the study concludes that although online platforms have great potential to enhance English listening skills, their effectiveness largely depends on proper implementation, adequate technical infrastructure, and active support from educators. Therefore, this study recommends improvements in technical aspects and the development of more effective learning methods to achieve more optimal outcomes.

This study aims to develop an interactive digital learning media based on Wordwall, named TANGKAS (Tantangan Asyik Ngulik Pecahan Kelas Empat Seru), as a practice tool for addition and subtraction of fractions in fourth-grade elementary students. The development process employed the ADDIE model, which includes the Analyze, Design, Develop, Implement, and Evaluate stages. The research subjects consisted of 29 fourth-grade students at SDN Ngemplak I Baureno. The needs analysis revealed that learning activities were still dominated by conventional methods with limited use of digital media, resulting in low student engagement. To address this issue, TANGKAS was developed using a maze chase game design to enhance motivation and support engaging fraction practice. The validation results indicated a material validity score of 94% (highly valid) and a media validity score of 80% (valid). The practicality aspect obtained 81.8% from students, both categorized as highly practical. The effectiveness test showed an improvement in learning outcomes with N-Gain scores of 0.6 for fraction addition and 0.54 for fraction subtraction, both classified as moderate. Therefore, TANGKAS is proven to be feasible, practical, and effective as an interactive game-based learning media to support students’ understanding of mathematics in elementary school.

Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a reinforcement learning based production scheduling approach to improve production efficiency while reducing energy consumption in multi-machine manufacturing systems. Methods: This research employs a job-shop based multi-machine production simulation model as the experimental environment. The scheduling problem is formulated as a Markov Decision Process, enabling the implementation of reinforcement learning algorithms, namely Q-learning and Deep Q-Network, to learn optimal scheduling policies through interaction with the simulation environment. Energy consumption parameters are incorporated into the reward function so that the learning agent can consider energy efficiency in the scheduling decision-making process. System performance is evaluated using three main metrics, namely energy consumption, throughput, and makespan. Results: The experimental results show that the reinforcement learning based scheduling approach achieves better performance compared to conventional scheduling methods, resulting in lower energy consumption, higher job completion rates, and shorter production completion times within the multi-machine manufacturing system.

The emergence of ChatGPT and other large language models has introduced unprecedented opportunities and challenges in educational settings. This study examines the dual nature of ChatGPT's integration into classroom environments, analyzing both its potential as an educational tool and the ethical concerns it raises regarding academic integrity. Through a mixed-methods approach combining surveys, interviews, and content analysis, this research investigates how educators and students perceive and utilize ChatGPT, the implications for learning outcomes, and the effectiveness of current academic integrity policies. Results indicate that while ChatGPT offers significant pedagogical benefits including personalized learning support and enhanced accessibility, it simultaneously poses risks to traditional assessment methods and raises questions about authorship and original thought. The study proposes a framework for responsible AI integration in education that balances innovation with academic integrity, emphasizing the need for updated policies, enhanced digital literacy, and redesigned assessment strategies. These findings contribute to the ongoing discourse on AI in education and provide practical recommendations for educators, administrators, and policymakers navigating this transformative technology.

The integration of Information and Communication Technology (ICT) and tools like Canva has revolutionized English Language Teaching (ELT) in Indonesia, shifting from traditional methods to interactive, student-centered approaches. This study aims to explore the benefits and challenges of incorporating these technologies into ELT practices. Employing a qualitative literature review methodology, the research analyzed over 20 empirical studies from 2020 to 2023 on Canva and ICT in Indonesian ELT, supplemented by global Computer-Assisted Language Learning (CALL) frameworks. Key findings reveal that ICT and Canva enhance student motivation, creativity, and communicative skills through multimodal and constructivist learning, while fostering authentic language exposure and collaboration. However, challenges include inadequate infrastructure, limited teacher training, digital inequities between urban and rural areas, ethical issues such as copyright infringement, and increased teacher workload. The implications underscore the need for systematic professional development, institutional support, curriculum alignment, and policies promoting equitable access to ensure transformative and sustainable technology integration in Indonesian ELT.  

This study examines the implementation of an Islamic Religious Education (PAI) learning model based on Project-Based Learning (PjBL) and collaborative approaches in shaping students’ noble character at SD Negeri Besuk Kidul, Besuk District. The study is grounded in the research gap that PAI learning in elementary schools is often still dominated by conventional, teacher-centered methods that emphasize cognitive achievement while providing limited space for the internalization of moral values through authentic learning experiences. This research aims to analyze how PjBL and collaborative learning are designed and implemented in PAI instruction and to explore their contribution to students’ character development. A qualitative approach with a descriptive case study design was employed. The research subjects included the school principal, a PAI teacher, and elementary school students. Data were collected through observation, in-depth interviews, and documentation, and analyzed using an interactive data analysis model. The findings reveal that the integration of project-based and collaborative learning in PAI instruction enhances students’ noble character, particularly in terms of honesty, discipline, responsibility, cooperation, respect, and social awareness. Students actively engage in learning activities, apply Islamic values in real-life contexts, and demonstrate positive behavioral changes both in and outside the classroom. These results indicate that Project-Based Learning and collaborative approaches constitute an effective and meaningful strategy for strengthening character education in PAI at the elementary school level.

Islamic Religious Education (PAI) faces serious challenges from the crisis of integrity and trust in the digital era, which is manifested in the weakening of social solidarity (ukhuwah) and the emergence of a toxic social environment due to disinformation and fragility of commitment. This study aims to analyze and formulate an implementation model for the values ​​of Shiddiq (honesty and truth) and Amanah (trustworthiness and responsibility) in PAI, as well as to examine their role in building Ukhuwah and a Positive Social Environment among students. The method used is library research with a qualitative-analytical approach, involving a critical review of relevant scientific literature, journals, and books. The results of the study indicate that the implementation of these two prophetic values ​​must be carried out transformatively through integrated Project Based Learning (PjBL) and Problem Based Learning (PBL) methods, not merely cognitive transfer, but through real practice. The value of Shiddiq plays a central role in building trust and countering hoaxes, while Amanah ensures commitment and social responsibility, which collectively strengthen the bonds of ukhuwah. These findings imply the urgency of developing an Islamic Religious Education (PAI) curriculum that is responsive to digital ethics and strengthens teacher exemplary behavior (uswah hasanah) as a model of integrity. It is recommended that future research conduct empirical tests of the proposed implementation model to strengthen the generalizability of the findings.