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The development of modern biotechnology has brought fundamental changes to the life sciences through the application of molecular biology, genetic engineering, and bioinformatics techniques. This article aims to examine the transformation of life sciences through modern biotechnology approaches and its impact on health, agriculture, the environment, and industry. The method used is a descriptive-analytical literature review based on international journal sources and relevant scientific publications. The results of the study indicate that technologies such as CRISPR-Cas9 enable precise gene editing for genetic disease therapy, while the mRNA vaccine platforms developed by Pfizer and Moderna demonstrate the acceleration of biomedical innovation in response to the global pandemic. In the agricultural sector, genetic engineering increases crop productivity and resilience, while in the environmental sector, biotechnology supports environmentally friendly bioremediation processes. However, ethical and regulatory challenges remain important concerns in its implementation. In conclusion, modern biotechnology plays a key role as a catalyst for sustainable, innovation-driven transformation in the life sciences.

Histology practicum, as one of the compulsory practicum courses, offers a great opportunity to practice various aspects of science process skills through microscopic tissue observation activities, identification of cell and tissue structures, and analysis of tissue functions in organisms. This study aims to analyze the science process skills biology education students through histology practicum activities. This study uses a quantitative descriptive approach with a survey method to analyze the science process skills of biology education students through histology practicum activities. Data collection in this study used three main techniques, namely science process skills tests, direct observation, and analysis of practicum report documents. Furthermore, the data were analyzed descriptively quantitatively using descriptive statistics to describe the profile of students' science process skills. Analysis per aspect revealed that students had good skills in the aspects of observing (78.50%), classifying (76.33%), interpreting data (71.67%), applying concepts (73.25%), and communicating results (73.40%), which indicates that histology practicum is effective in developing basic science process skills. However, the aspects of formulating hypotheses (58.17%) and planning experiments (54.83%) were still in the sufficient category, indicating that students experienced difficulties in integrated science process skills that require higher-order thinking skills. The findings this study provide important implications for the development of more comprehensive histology practicum learning strategies, including the integration of inquiry approaches, the use of continuous formative assessment, the application of differentiated learning, and strengthening the connection between theory and practice to optimize the development of all aspects of science process skills of prospective biology teachers.  

This study aims to analyze the implementation of video animation-based flipped classroom learning model in increasing students' learning interest in science subjects with material on the structure and function of living organisms in class 8D at SMPN 1 Sanrobone. The low interest in learning science among students is a major problem that needs to be addressed through more attractive and interactive learning innovations. The video animation-based flipped classroom model was chosen because it can optimize classroom learning time for more meaningful activities, while basic concept understanding is done independently through engaging animated videos. This study uses a survey method with a descriptive quantitative approach. The research subjects were  students of class 8D SMPN 1 Sanrobone in the even semester of the 2024/2025 academic year. Research instruments used learning interest questionnaires, observations, and documentation. The results showed that the implementation of video animation-based flipped classroom model was able to increase students' learning interest with high categories in aspects of attention, interest, involvement, and learning satisfaction. Animated videos presented before face-to-face learning provide clear visualizations of the structure and function of living organisms, making students more prepared and enthusiastic to participate in discussions and practical activities in class. This learning model also encourages student learning independence and increases active interaction in learning. This study recommends the implementation of video animation-based flipped classroom as an alternative effective and innovative science learning strategy to increase students' learning interest.

State-based conservation in Indonesia often faces institutional failure and social resistance, resulting in continued deforestation. Conversely, Indigenous conservation models in West Java, specifically the Leuweung Larangan (forbidden forest), demonstrate significant ecological resilience. However, the legal standing of these customary practices within Islamic jurisprudence remains under-theorized, creating a dichotomy between Adat (custom) and Sharia. This study proposes a juridical reconstruction of the Sundanese taboo mechanism (Pamali) as Jarimah Ta’zir (discretionary sanction) to strengthen environmental law enforcement. Utilizing a socio-legal approach and ecological hermeneutics, this research analyzes Yusuf al-Qardhawi’s concept of Fiqh al-Bi’ah and Seyyed Hossein Nasr’s sacred science, alongside relevant empirical data on Indigenous forest governance. The findings demonstrate that Leuweung Larangan structurally manifests as Hima Syar’i (sacred protected zone). Operationally, Pamali functions not merely as a cultural myth, but as a preventive legal instrument (Sadd al-Dzari’ah) where environmental violations constitute religious criminal acts. This creates a "Sundanese Eco-theology" model that establishes a double-layered compliance system—social sanctions and theological liability—proving more effective for carbon preservation than state regulations alone. The study recommends integrating this model into the Green Constitution framework to resolve tenurial conflicts and enhance climate resilience.

The epistemology of modern science develops with the assumption that neutrality and objectivity distinguish facts from values. This belief leads to the reduction of values, especially those related to ethical, metaphysical, and spiritual values, during the development of science. The purpose of this paper is to examine the problem of value reduction in the epistemology of modern science and to examine the Islamization of science as an epistemic alternative. This research method is qualitative, literature-based, and critical-philosophical. Epistemological critiques of value-free science, based on positivism and modern empiricism, and a study of the theory of the Islamization of science by Syed Muhammad Naquib al-Attas and Ismail Raji al-Faruqi are used to complete the analysis. The results of this study indicate that the epistemological separation between facts and values ​​in contemporary science leads to a decline in values. The Islamization of science offers an alternative epistemic framework that positions science as a meaningful, valuable, and goal-oriented activity. Thus, without rejecting the methodological progress of contemporary science, it remains a plausible option. Despite lingering problems with the methodological formulation, this article asserts that the Islamization of science is relevant as a theoretical response to the crisis of values ​​in the epistemology of modern science.

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.

Education in Islam plays a vital role in developing human potential holistically, where knowledge serves as the primary indicator of an individual's quality. This study aims to examine the virtue of knowledgeable people from the Quranic perspective, focusing on the theological and pedagogical analysis of Surah Al-Mujadalah verse 11. The method employed is descriptive qualitative through library research with a thematic exegesis (tafsir) approach. The results indicate that QS. Al-Mujadalah verse 11 establishes a hierarchy of human dignity based on the integration of faith and knowledge, rather than social or material status. These findings confirm that the elevation of rank encompasses a worldly dimension in the form of moral authority and an otherworldly dimension in the form of high positions before Allah. The implications of this research for contemporary Islamic education emphasize the importance of eliminating the dichotomy between religious and general sciences to cultivate the insan kamil (perfect human), who possesses a balance of intellectual intelligence, spiritual depth, and social responsibility. The study concludes that the virtue of knowledge in Islam is always grounded in transcendental values that bridge theory, faith, and practical deeds.

The development of artificial intelligence has revolutionized higher education by increasing the efficiency and personalization of learning, but it has also posed a major challenge in the form of a decline in students' critical thinking skills due to their dependence on technology. Therefore, an in-depth philosophical study through the post-positivism, critical theory, and constructivism paradigms is needed to understand its impact on cognitive and epistemological processes. This study aims to analyze how these three paradigms guide the development of critical thinking in the context of AI. It uses a descriptive-analytical method based on secondary data from academic literature such as journals and books that have been critically synthesized. The findings show that post-positivism views AI as a tentative critical realism tool for empirical verification. Critical theory critiques power relations, ideology, and the ethics of technological domination. Constructivism emphasizes the construction of social knowledge through human-centered design that supports creativity and collaboration. The positive impacts of AI include instant feedback and content adaptation, while the negative impacts include social isolation, weak digital literacy, and data privacy. Therefore, the implication is the wise use of AI with the assistance of teaching staff to strengthen reflective analysis, ethical literacy, and paradigm adjustments in accordance with the exact or social sciences to create multidimensional learning in the digital era.

This article examines the role of axiology as a value dimension in the philosophy of science, which serves to guide science so that it not only produces knowledge but also provides benefits that align with humanitarian, ethical, and sustainable values. This research uses a library study method by reviewing various literature discussing the concept of axiology. The results of the study indicate that science cannot be viewed as a value-free activity, because every stage of the scientific process, from problem selection and method development to data interpretation and application of research results, is constantly influenced by social norms, moral considerations, and certain values. Therefore, axiology plays a crucial role in ensuring that scientific progress prioritizes human welfare and does not have destructive impacts. Furthermore, critical thinking skills are an important element in the application of axiology, as they enable humans to assess and consider the benefits and consequences of science more deeply. This study also emphasizes that scientists have a moral responsibility both internally, such as maintaining academic integrity and scientific objectivity, and externally, namely ensuring that research results are utilized for the common good. Thus, this article highlights the importance of integration between science, ethics, and values ​​as a foundation for developing knowledge that is not only scientifically correct, but also morally good and beneficial for the sustainability of life.

The aim of this research is to develop a new strategic model for Indonesian border defense by recalibrating the Lykke Framework. It assesses the relevance of the traditional ends–ways–means framework in addressing modern border threats and proposes adding a risk pillar to improve adaptability and multi-domain integration. Using a Systematic Literature Review (SLR), the study examines policy developments, defense doctrines, surveillance technologies, and geopolitical dynamics influencing Indonesian border security. Literature was sourced from international and national databases (ScienceDirect, SpringerLink, SINTA, BRIN, etc.) for publications between 2018–2025. The findings reveal that Indonesia's border regions face complex threats such as sovereignty violations, transnational crime, cyberattacks, and ideological penetration. These challenges highlight the inadequacy of the traditional ends–ways–means framework without incorporating a fourth risk pillar. The study introduces the New Lykke Model, which enhances the strategic framework for integrated military management, considering geopolitical, operational, socio-cultural, and environmental risks. This model offers practical guidance to stakeholders like the Indonesian National Armed Forces (TNI), Bakamla, and the National Police (Polri), aiming to improve border security operations and policy planning. The study is among the first to adapt the Lykke Model to Indonesian border defense, incorporating an integrated risk pillar for a more comprehensive security strategy.

Objective– This article aims to comprehensively examine the main types of food crop pests and their attack patterns through a systematic literature review approach. The research focuses on the dynamics of pest attacks, changes in ecological patterns due to climate change, and advances in modern identification technology that enable more accurate early detection. This study also highlights the significance of new paradigms of pest identification based on artificial intelligence (AI), genomics, and landscape mapping in supporting food security at the regional and national levels. Design/methodology/approach– This study used the Systematic Literature Review (SLR) method for scientific publications from 2015–2025 from reputable sources such as Scopus, Web of Science, PubMed, ScienceDirect, SpringerLink, Taylor & Francis, Wiley, AGRIS, and Google Scholar. Of the 326 articles identified in the initial stage, 30 articles in English and Indonesian were selected through a screening process based on strict inclusion–exclusion criteria. All articles were then analyzed using thematic coding techniques to produce an in-depth, evidence-based synthesis. Findings– The study produced four key findings: (1) there are five dominant pests in global food crops, namely Thrips tabaci, Spodoptera exigua/frugiperda, Helicoverpa armigera, Nilaparvata lugens and Sitophilus oryzae; (2) attack patterns are strongly influenced by temperature, humidity, pesticide resistance, and monoculture; (3) modern identification technology AI, drone imagery, multispectral sensors, and DNA Barcoding have increased detection accuracy to 94–98%; and (4) community-based early warning systems accelerate field response and reduce the risk of crop failure. Practical implications– These findings provide a scientific basis for local governments, agricultural extension workers, and farmers to gradually adopt pest identification technology and strengthen integrated monitoring systems at a regional scale. Authenticity/value– This article offers a new conceptual model of “Pest Identification Pyramid – Attack Pattern – Early Warning System” that integrates pest biology, digital technology, and community response to improve national food security.

Modern society faces multidimensional complexities, ranging from spiritual crises and technological disruption to social inequality. Muslims, with their theological and intellectual capital, are often perceived as suboptimal in responding to these challenges contextually and applicatively. This article aims to analyze the fundamental problems faced by Muslims in formulating answers to the problems of modern society and to explore the strategic role of Islamic higher education institutions, specifically the Muhammadiyah University of Malaysia (UMAM), in bridging this gap. This research uses a qualitative approach with a case study method at UMAM. Data was collected through literature study, observation, and structured interviews with academics and policymakers at UMAM. The findings indicate that the main problems lie in: (1) the dichotomy between naqli and aqli sciences, (2) a static approach to religious texts, and (3) a lack of integrative and innovative solution models. UMAM strives to address these issues through three main strategies: integration of knowledge in the curriculum, problem-based research, and empowering community engagement. This article concludes that UMAM has the potential to become a model social laboratory of Islam that combines the Muhammadiyah renewal ethos with the Malaysian socio-cultural context to produce relevant, humanist, and rahmatan lil 'alamin solutions.

This study investigates the influence of financial literacy, entrepreneurship training, and financial inclusion on the performance of micro, small, and medium enterprises (MSMEs) through business sustainability. Using a systematic literature review (SLR) examines the impact of financial literacy, entrepreneurship training, and financial inclusion on MSME performance through business sustainability mediation by synthesizing empirical data from 12 research (2020–2025) across Scopus and Web of Science. Positive direct effects on sustainability (financial literacy via budgeting/risk management; training via adaptive resilience; inclusiveness via digital access) and performance metrics like profitability/growth are confirmed by results using the PRISMA 2020 flow.  Amid obstacles like financial access restrictions and COVID-19 disruptions, business sustainability appears as a crucial mediator, linking these factors to improved MSME results in developing contexts (Africa, Indonesia). Practical implications compel policymakers to give integrated literacy programs, contextual training, and inclusive finance top priority. Theoretical contributions combine financial literacy, entrepreneurial learning, and sustainability ideas into a holistic mediation model. The results highlight the importance of integrating financial education, entrepreneurial skill development, and inclusive financial systems to strengthen MSME resilience and competitiveness. This study provides practical implications for policymakers, financial institutions, and support organisations in designing effective interventions that foster sustainable business growth. The research also contributes theoretically by confirming the mediating role of business sustainability in the relationship between financial literacy, entrepreneurship training, financial inclusion, and MSME performance. Future studies may expand these insights by examining additional contextual factors such as digital technology adoption and business networking that further support sustainable MSME development.

The rapid advancement of digital technologies and Artificial Intelligence (AI) has fundamentally reshaped the management and development of the tourism industry. Digital transformation strategies offer substantial opportunities to enhance destination competitiveness while simultaneously supporting economic, social, and environmental sustainability. This study aims to systematically examine the role of digital transformation and AI in strengthening sustainable tourism competitiveness through a literature review approach. A total of 42 peer-reviewed journal articles published between 2019 and 2025 were analyzed, drawing from Scopus, Web of Science, and Google Scholar. The analysis employed thematic synthesis to identify dominant patterns, conceptual relationships, and emerging themes across the literature. The findings indicate that AI-driven digital transformation enhances operational efficiency, enables personalized tourist experiences, supports data-informed resource management, and facilitates the development of smart tourism destinations. Nevertheless, persistent challenges related to human resource readiness, digital inequality, data governance, and ethical considerations remain evident. This review provides an integrated conceptual perspective on digital transformation and AI in sustainable tourism competitiveness and offers insights for policymakers, practitioners, and future research.

This study explores the integration of Science, Technology, and the Arts (IPTEKS) within an educational psychology framework to support the development of creativity, innovation, and collaboration among prospective Christian religious education teachers in West Java. Using a mixed-methods approach with a sequential explanatory design, the research combines quantitative and qualitative perspectives to obtain a comprehensive understanding of the phenomenon. Quantitative data were gathered through questionnaires distributed to prospective teachers, while qualitative data were obtained through in-depth interviews and participatory observations involving selected informants. The findings indicate that meaningful integration of IPTEKS contributes positively to the development of creative thinking, innovative teaching practices, and collaborative learning skills. Qualitative insights further reveal that institutional support, continuous professional development, and contextualized learning environments play a crucial role in optimizing the impact of IPTEKS integration. The study highlights the importance of aligning technological integration with psychological and pedagogical principles. It concludes that teacher education programs need to redesign curricula and training models that holistically integrate IPTEKS and educational psychology to foster relevant, transformative, and value-based learning in Christian education contexts.

The development of Artificial Intelligence (AI) technology has provided new opportunities to enhance the quality of learning, particularly in elementary science education. One form of AI utilization is chatbots, which function as interactive learning media capable of encouraging students’ active participation. In science learning, questioning behavior is an important indicator of students’ cognitive engagement; however, many elementary school students tend to be passive in asking questions. This study aimed to examine the effect of using AI chatbots in science learning on students’ questioning behavior in Grade V of SDN Plalangan 03 Gunungpati, Semarang City. This study employed a quantitative approach with a quasi-experimental design. Data were collected through observation, questionnaires, and documentation. The data were analyzed to identify changes in students’ questioning behavior before and after the implementation of AI chatbots in science learning. The results indicated that the use of AI chatbots improved students’ questioning behavior in terms of frequency, confidence, and activeness in asking questions. AI chatbots provided a comfortable and flexible interaction space for students, which helped reduce psychological barriers in questioning. It can be concluded that the use of AI chatbots has a positive effect on students’ questioning behavior in elementary school science learning.

Background: Sleep disorders in adolescents are a significant health problem, with a global prevalence reaching 57.8% and particularly high rates in several cities in Indonesia. Poor sleep quality negatively impacts physical health, such as the risk of cardiovascular disease and anemia, as well as mental and cognitive health. Sleep behavior is influenced by a dynamic interaction between personal and environmental factors, as explained in Social Cognitive Theory (SCT). Research Objective: To identify the determinants of sleep deprivation in adolescents, specifically individual and environmental factors, based on a Social Cognitive Theory (SCT) perspective through a literature review from 2019 to 2025. Method: This study utilized a literature review. To obtain research data, the authors searched for scientific articles through Google Scholar, PubMed, and ScienceDirect databases, then analyzed 10 articles that met the inclusion criteria, published between 2020 and 2025. Results: Factors significantly associated with adolescent sleep quality were identified, with individual factors being the most dominant determinant (found in 7 studies), including academic stress and smartphone addiction. Furthermore, a positive association was found with environmental factors (found in 4 studies), such as bright lighting, noise, and uncomfortable room temperature. Conclusion: Within the framework of Social Cognitive Theory, adolescent sleep quality is the result of a reciprocal interaction between personal factors (perceived stress and self-control over gadgets), the physical environment, and sleep behavior. Individual factors such as stress and nighttime gadget use reduce self-efficacy for regular sleep, which is exacerbated by an unfavorable environment.

This study discusses the progress of science in Andalusia during the rule of the Umayyad Daulah II, which served as an essential bridge between the Islamic world and the West. The purpose of this research is to examine the factors that stimulated scientific advancement, the fields of knowledge that developed, and the intellectual values inherited for modern life. This study employs a qualitative approach with a library research method by analyzing various historical sources, academic journals, and scholarly works related to Islamic civilization in Andalusia. The results show that scientific progress in Andalusia under the Umayyad Daulah II emerged from political stability, social tolerance, religious enthusiasm, and government support for education and research. Knowledge flourished in diverse disciplines such as medicine, astronomy, mathematics, philosophy, art, and architecture. Andalusia became a leading center for education and translation, transmitting Islamic knowledge to Europe and contributing greatly to the rise of the Renaissance. In conclusion, the intellectual achievements of Andalusia demonstrate that the harmony between faith, justice, and openness produces a just and progressive civilization. These scientific and moral values remain relevant for guiding the development of a modern civilization grounded in ethics and humanity.

Managing Regional Public Service Agency (Badan Layanan Umum Daerah/BLUD) hospitals requires planning and budgeting processes that are accountable, measurable, and aligned with service performance. In practice, BLUD planning is still constrained by fragmented applications (hospital information system/SIMRS, finance, human resources, e-office, and procurement), duplicate data entry, approval delays, and limited monitoring of process compliance. This study aims to analyze requirements and design a web-based BLUD planning information system using an Enterprise Application Integration (EAI) approach through middleware to improve cross-system interoperability, data consistency, and the timeliness of executive reporting. The study adopts the Design Science Research (DSR) framework, comprising problem identification, definition of solution objectives, artifact design and development, demonstration, evaluation, and communication/report writing. The proposed system includes a unit-based budget proposal module and item management, a role-based approval workflow (RBAC) with SLA tracking, a budget ceiling (pagu) master to benchmark proposals, audit trails and report exports, and an executive dashboard integrating budget perspectives, service indicators (e.g., bed occupancy rate/BOR and patient visits), and process compliance. It also provides an integration design via middleware (ESB/message broker) supported by a canonical data model (CDM) and traceable logging (trace_id/correlation_id). Evaluation using black-box testing and API contract testing indicates that the main planning workflow operates as intended and the integration interfaces are consistently defined, providing a foundation for staged implementation and further performance evaluation.

Data mining is a technique of several fields of science to find previously unknown relationships in the data warehouse so that it becomes an information that can be used later. The unwise use of electricity will of course have an impact on the high use of electricity, therefore it is expected that every community understands the effort to use electricity wisely. Therefore, authors perform analysis of data mining on these electrical usage data in order to know which is a small, medium and large category. The authors use data on electrical use questionnaire as much as 200 data which is then presented into the ARFF format. In performing author analysis using WEKA Tools. The method used is Naive Bayes classification method with the greatest percentage of accuracy obtained using the Use Training Set Correctly of 80.5%, using a 5-Fold Cross Validation Correctly of 75%, and using 10-Fold Cross Validation amounted to 74%. While the result of the selection of the attributes using the algorithm classifier attribute evaluation (ClassifierAttributeEval) is stated that the most influential attribute against the electrical power usage classification is Electonic Goods.