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This study aims to provide a comprehensive analysis of Predictive Policing and its implications for law enforcement transformation in Indonesia, based on an extensive review of its global applications, benefits, and challenges. The study uses qualitative literature and international case study review methods to assess the impact and complexity of implementing digital technologies such as artificial intelligence (AI), machine learning, and big data analytics within a Predictive Policing framework. The results of this review highlight that while Predictive Policing offers significant potential for proactive crime prevention and increased operational efficiency, its implementation is consistently fraught with critical legal, ethical, and technical challenges, including regulatory gaps, risks of algorithmic bias, and data privacy concerns, which are particularly relevant to Indonesia. The findings underscore that public trust and police legitimacy in the context of adopting such technologies are strongly influenced by transparency, strong accountability mechanisms, and community involvement in shaping their use. This study contributes to the growing discourse on digital policing in developing countries and culminates in practical policy recommendations designed to guide the Indonesian police towards the development and implementation of Predictive Policing models that are effective, efficient, and fundamentally respectful of legal and human rights principles.

Tafsir tarbawi is an approach to interpreting the Qur’an that emphasizes the extraction of educational values to shape holistic human character. This study aims to analyze the implementation of tafsir tarbawi in the process of Islamic education and examine its relevance in shaping students’ character in the modern era. The research employs a qualitative method with a library research approach, where data are collected through the analysis of various academic sources such as books, scholarly journal articles, and relevant previous studies. The findings indicate that tafsir tarbawi can be effectively implemented through the integration of Qur’anic values into educational curricula, the application of value-based learning methods, and the reinforcement of teachers’ exemplary behavior as role models. Furthermore, this approach encourages the internalization of spiritual, moral, and social values within students. Therefore, tafsir tarbawi plays a strategic role in developing learners who are not only intellectually competent but also possess strong character, noble morals, and the ability to face life’s challenges wisely.

Tawhid education is a fundamental aspect of Islamic education that serves as the foundation for the formation of faith and individual religious character. The family plays a crucial role as the primary educational environment in instilling the values of Tawhid from an early age. However, in modern social realities, the role of families in Tawhid education often faces various challenges, necessitating support from non-formal Islamic educational institutions. This study aims to describe the role of families in Tawhid education through their involvement in the Majlis Taklim ‘Izzatin Nisa Tangerang. This study uses a qualitative approach with descriptive methods. Data collection techniques were carried out through observation, interviews, and documentation of the Majlis Taklim administrators, the congregation, and ongoing learning activities. The results show that families play an active role in Tawhid education through parental role models, the habit of worship at home, and the strengthening of understanding of the faith gained from the Majlis Taklim activities. The Majlis Taklim ‘Izzatin Nisa serves as an educational tool that strengthens the congregation's understanding of Tawhid and encourages its implementation in family life. Thus, the synergy between families and religious study groups has been proven to contribute to strengthening monotheism education and building religious awareness within the community.

The ability to analyze ethical and health law issues is one of the learning outcomes that must be mastered by students of the Public Health Study Program. Over the past two years, the implementation of lectures has been predominantly based on problem-based learning; however, most student learning outcomes have remained in the “not yet achieved” category, including in completing assignments related to ethical and health law problem solving. This study aims to compare students’ problem-solving abilities between the implementation of project-based learning and problem-based learning. The research was conducted in the Public Health Study Program at Universitas Jambi involving first-semester students enrolled in the Ethics and Health Law course. The research employed a quasi-experimental design involving 200 students, with 100 students assigned to the experimental group and 100 students to the control group. The instruments used were assessment sheets and observation sheets. Data collection was carried out twice, before and after the implementation of the two learning models. Data processing and analysis were conducted using an independent t-test.The results of the study indicate an improvement in students’ problem-solving abilities through the implementation of project-based learning. Project-based learning contributes to strengthening students’ perseverance and problem-solving skills and is therefore recommended for implementation in all courses at higher education institutions.

The policy to implement the deep learning approach in Indonesian schools starting from the 2025/2026 academic year requires teachers to be well prepared to design and conduct meaningful and in-depth learning. This community service program aimed to enhance the understanding and pedagogical competence of senior high school and madrasah economics teachers in Tasikmalaya City in implementing the deep learning approach comprehensively. The program employed a community-based science and technology application scheme through training and mentoring activities conducted in face-to-face, online, and hybrid modes, consisting of planning, implementation, and evaluation stages. The training materials covered the concept and implementation of deep learning, lesson planning, instructional design and models, learning evaluation, development of innovative technology-based learning media, and reinforcement of microeconomic and macroeconomic content. A total of 78 economics teachers participating in the MGMP of Tasikmalaya City were involved in the program. The results indicate that the training improved teachers’ understanding of deep learning, lesson planning, and assessment strategies that support meaningful learning. Participants’ reflections revealed high motivation and strong relevance of the training materials to their professional duties. This program contributes to strengthening teachers’ readiness to implement deep learning sustainably and supports the improvement of economics learning quality in schools.

This research is motivated by the use of conventional learning models that still dominate Indonesian language learning at the high school level, causing learning to become monotonous and less actively involving students. This study aims to determine the effectiveness of implementing the Quizizz-based Game Based Learning (GBL) model in improving learning outcomes, motivation, and participation of grade XII Social Science students at SMA BIMA Ambulu. The research method used is quantitative experimental with a one-group design (one-group pretest-posttest design). Research subjects consisted of 70 students divided into two classes, namely XII IPS 2 and XII IPS 5, with 35 students each. Data were collected through tests (pretest and posttest), learning motivation questionnaires using a 5-level Likert scale, student activity observation sheets, and documentation of learning activities. Research instruments have been tested for validity using Pearson Product Moment correlation and reliability using Cronbach's Alpha. Data analysis included validity tests, reliability tests, normality tests, and hypothesis testing using Independent Sample t-Test. The research results show that all test items are declared valid (r calculated > r table 0.334) and the instrument is reliable with a Cronbach's Alpha value of 0.812. The average N-Gain for class XII IPS 2 is 0.668 and class XII IPS 5 is 0.679, both in the medium-high category indicating the effectiveness of the GBL model. The t-test results show no significant difference between the two classes (mean difference 0.011), indicating consistency in the effectiveness of the GBL model in both groups. This study concludes that the Quizizz-based Game Based Learning model is proven effective in improving Indonesian language learning outcomes for grade XII Social Science students at SMA BIMA Ambulu. The implementation of GBL creates more interactive, enjoyable, healthy competitive learning, and is able to increase motivation and active student participation in learning.

Islamic Religious Education (PAI) learning has a strategic role in shaping the character of students who are religious, tolerant, and have noble morals. Amidst the reality of Indonesian multicultural society, PAI learning is required to be able to internalize the values of religious moderation as an effort to prevent extreme, radical, and intolerant attitudes. Religious moderation is an important paradigm in Islamic education to instill a balanced and contextual religious attitude. This proceedings article aims to examine the concept, strategy, and implications of moderation-based Islamic Religious Education learning through the Systematic Literature Review (SLR) approach. The SLR method is used to examine journal articles, scientific books, and proceedings relevant to the topic of PAI learning and religious moderation in the last ten years. The results of the study indicate that moderation-based PAI learning is based on the values of wasathiyah, tawazun, i'tidal, and tasamuh which are integrated into the curriculum, learning methods, and the role models of educators. The implementation of moderation-based PAI learning has a positive impact on the formation of inclusive, tolerant attitudes and the ability to live peacefully together in students. This article is expected to be an academic reference for educators and researchers in developing Islamic Religious Education learning that is relevant to the social challenges and diversity of Indonesian society.

Islamic education in the digital era faces significant challenges in improving the quality of learning and developing students' critical thinking skills. One promising solution is the implementation of deep learning-based Islamic education, which can facilitate the teaching of religious material more effectively and easily accessible via the internet. Deep learning has the potential to strengthen students' critical thinking skills and understanding of Islamic values ​​in a more interactive and personalized manner. This study used a literature review method to analyze various relevant literature sources. The results indicate that deep learning can increase student engagement, enable personalized learning, and provide real-time evaluation of learning progress. However, the implementation of this technology also faces challenges, particularly related to the availability and quality of relevant data. Therefore, efforts are needed to improve data quality and develop learning models tailored to student needs to achieve optimal results in technology-based Islamic education.

Teaching fiction in Indonesian language classrooms is often constrained by text-centered instruction and limited use of engaging digital media. In the era of Generation Z learners who are visually and digitally oriented, innovative learning materials are needed to enhance motivation, interpretation, and comprehension of literary texts. This study aims to develop and evaluate a Scribus-based digital magazine for fiction learning by integrating the ADDIE model within a qualitative descriptive framework. The research adopted a qualitative descriptive design comprising five stages of the ADDIE model: Analysis, Design, Development, Implementation, and Evaluation. The study was conducted at SMP Negeri 10 Semarang, involving one Indonesian language teacher and fifteen Grade VIII students, who were selected through purposive sampling. Data were collected through observation, interviews, and documentation, and analyzed using the Miles and Huberman model (data reduction, data display, conclusion drawing). Media and content experts conducted validation to assess the feasibility, usability, and pedagogical quality of the content. Findings revealed that the Scribus-based learning media effectively increased students’ engagement and comprehension in analyzing fictional elements such as plot, character, and setting. Expert validation results indicated a high feasibility level, with mean scores above 85% in design and content quality. Teachers reported improved classroom interaction and creativity, while students expressed enthusiasm for the visual and interactive format. The study concludes that open-source tools, such as Scribus, can provide cost-effective and pedagogically sound alternatives for developing literary learning media. The integration of ADDIE and multimodal design promotes contextual, engaging, and sustainable learning experiences. Future research should explore multimedia enhancements, such as audio storytelling and cross-curricular applications, to broaden the pedagogical impact.

The integration of Augmented Reality (AR) technology into higher education has emerged as a promising approach to enhance collaborative learning experiences. This study aims to design and evaluate an AR multimedia framework that facilitates real time interaction and spatial visualization, creating immersive and engaging learning environments for students. The AR framework was developed with a focus on improving student engagement, collaboration, and learning outcomes through interactive 3D models and real time feedback. By leveraging AR technology, the study sought to address common challenges in traditional learning environments, such as limited student interaction and engagement, and lack of real time feedback. The experimental evaluation involved two student groups: one using the AR-based system and the other using conventional multimedia tools. Findings revealed that students using the AR framework showed significant improvements in engagement, interaction frequency, and collaborative task performance. Additionally, the AR framework contributed to better learning outcomes, including enhanced comprehension, retention of complex concepts, and improved problem-solving skills. The study also highlighted the importance of incorporating a user-centered design approach in developing AR applications to ensure that the system meets the needs and preferences of learners. Qualitative feedback from students indicated that the AR system provided an enriched learning experience, although challenges such as interface navigation were noted. Overall, the study demonstrates the effectiveness of AR in fostering collaborative learning and offers practical insights for its integration into higher education curricula. Future research should explore the integration of AR with other immersive technologies to further enhance collaborative learning experiences.

This study discusses the development of thematic teaching materials in elementary schools to improve the quality of learning in accordance with the 2013 Curriculum. The research method used is research and development with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The results show that the thematic teaching materials developed with approaches such as Project Based Learning (PjBL), Problem Based Learning (PBL), and Contextual Teaching and Learning (CTL) can enhance students' critical thinking, creativity, and social responsibility skills. The integration of local wisdom values as well as the use of digital and contextual teaching materials make learning more engaging, interactive, and meaningful. The thematic teaching materials based on these innovative learning models can help students develop 21st-century skills. Thus, the development of thematic teaching materials based on innovative models is an effective strategy for creating quality learning in elementary schools that is relevant to curriculum demands and the needs of today's learners. The use of technology and contextual approaches enriches students' learning experiences, making them more relevant and beneficial in daily life.

In the learning process, educators often face challenges in helping students achieve optimal learning outcomes. One of the contributing factors is the dominance of teacher-centered learning models, which frequently leads to low student engagement and reduced motivation. This condition affects students’ curiosity, particularly in Science learning, which requires active participation and exploration. Therefore, innovative teaching materials are needed to encourage student involvement while simultaneously stimulating their curiosity. One alternative that can be utilized is the Student Worksheet (Lembar Kerja Peserta Didik/LKPD), which can be designed systematically and contextually to support active learning. This study aims to determine the effectiveness of using LKPD in enhancing students’ curiosity in Grade VII Science learning at SMPN 1 Sanrobone. The research employed a Classroom Action Research (CAR) approach carried out in two cycles, each consisting of planning, implementation, observation, and reflection stages. The findings indicate a significant increase in students’ curiosity after the implementation of LKPD, as shown by improvements in questioning behavior, interest in the material, and the ability to observe and explore scientific phenomena. Based on these results, it can be concluded that the use of LKPD is effective in fostering students’ curiosity and contributes to a more interactive and meaningful Science learning experience.

Credit card fraud is a critical issue in digital financial transactions. This study aims to develop and evaluate fraud detection models using Logistic Regression and Gradient Boosting on an imbalanced dataset, where fraudulent transactions constitute only a small portion of the data. To address this imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied during preprocessing. Logistic Regression, used as a baseline model, achieved 95% accuracy, 78.6% precision, 55.9% recall, and a 65.3% F1-score. After applying class weighting and SMOTE, recall improved to 88.7%, but precision dropped to 52%, indicating that the model became overly sensitive and prone to false positives. Gradient Boosting initially produced better results, with 98% accuracy, 95.5% precision, 84.3% recall, and an 89.5% F1-score. After hyperparameter tuning and resampling, its performance improved further to 96.7% precision, 86.1% recall, and a 91.1% F1-score. These results indicate that Gradient Boosting is more effective in handling imbalanced data and offers greater reliability in detecting fraudulent transactions. The findings support the growing evidence in favor of ensemble learning techniques in fraud detection applications. This research contributes practical insights into improving the accuracy and security of machine learning-based fraud detection systems in financial services.