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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.

Lemongrass (Cymbopogon citratus) is a plant known to contain various bioactive compounds with potential antioxidant properties as well as xanthine oxidase (XO) inhibitory activity. This study aimed to evaluate the phytochemical content, antioxidant activity, and XO inhibitory potential of ethanol extracts from the leaves, stems, and their combination. Phytochemical screening revealed that all extracts contained alkaloids, flavonoids, and terpenoids, while phenolic compounds were detected only in the leaf extract and the combined leaf–stem extract. Antioxidant activity assays demonstrated that all extracts exhibited very strong antioxidant activity, with IC₅₀ values below 50 ppm, indicating a significant potential to scavenge free radicals. In the XO inhibition assay at a concentration of 200 ppm, the ethanol extract of lemongrass stems showed the highest inhibitory activity at 81.37%, followed by the leaf extract at 48.08% and the combined leaf–stem extract at 33.65%. Overall, these findings suggest that the ethanol extract of lemongrass stems is the most promising natural source of antioxidants and has the greatest ability to inhibit xanthine oxidase activity, indicating its potential development as a functional ingredient for health applications.

The development of lanthanum-doped barium hexaferrite materials has attracted considerable attention in the field of functional materials, particularly as electromagnetic wave absorbers. This literature review aims to analyze advances in synthesis methods, structural characteristics, magnetic properties, and electromagnetic absorption performance of lanthanum-doped barium hexaferrite reported in various studies. Synthesis techniques such as sol–gel, coprecipitation, solid-state reaction, and hydrothermal methods are compared to evaluate their effects on crystallite size, morphology, and phase purity. Lanthanum doping is known to modify lattice parameters, reduce coercivity, and enhance complex permittivity and permeability, which play crucial roles in absorption mechanisms. Furthermore, variations in dopant concentration significantly influence reflection loss values and effective absorption bandwidth. The reviewed literature indicates that optimization of composition and synthesis routes can produce materials with high absorption capability, good stability, and strong potential for application in electromagnetic interference mitigation devices. This review is expected to serve as a conceptual reference for future development of lanthanum-doped barium hexaferrite–based electromagnetic wave absorbing materials. The comparative approach also highlights research challenges, industrial application opportunities, and future research directions relevant to the evolving demands of modern communication and defense technologies at both national and global levels.

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 research extends the previous work of Tsaqila, Winiarti, and Widaningrum (2024), who applied the Complex Proportional Assessment (COPRAS) method within a decision support system for supermarket branch location selection. Unlike the prior study, which focused on Ponorogo through a web-based framework, this study expands the implementation of COPRAS to the Medan Area, Medan Kota, Medan Polonia, dan Medan Maimun districts, adapting it to local urban, social, and economic characteristics. The main objective is to identify the most strategic site for a new supermarket by analyzing multiple criteria, including land cost, population density, accessibility, safety, cleanliness, and disaster risk. Data were collected from both field surveys and official government publications. The findings reveal that the COPRAS method provides reliable and objective assessments among the evaluated alternatives, with Medan Area emerging as the most suitable location for supermarket development. Overall, this study broadens the practical scope of the COPRAS method in a different regional context and reinforces its reliability and adaptability as a multi-criteria decision-making tool in the modern retail industry.

This research is motivated by the persistent difficulty elementary school-aged children have in controlling their emotions and behavior in social situations, particularly within the context of church community development. The study aimed to examine the effect of Christian values-based emotion management training on improving children's self-control. The study used a quantitative approach with a quasi-experimental one-group pretest-posttest design on 30 children aged 7–12 years at the GPM Wonreli–Kisar Congregation. The intervention was implemented over four days through activities involving emotion recognition, value reflection, emotion regulation training, and social simulations. Data were collected using a self-control scale and analyzed using paired-difference tests and effect size calculations. The results showed a significant increase in self-control scores after the training, with the largest changes in rule compliance and impulse control, and a more moderate increase in resilience to frustration. The effect size indicates a strong practical impact of the changes. These findings indicate that training that integrates social experiences and value reflection can facilitate the shift in behavioral control from external control to internal awareness. Practically, this research provides a basis for developing a community-based child development program that emphasizes not only discipline but also the understanding of values ​​in character formation and self-regulation.

Vocational education in Vocational High Schools (SMK) requires innovative, interactive, and industry-relevant learning media to support students’ independent and competency-based learning. However, learning activities in the subject Communication in the Workplace for Grade XI MPLB at SMKN 62 Jakarta are still dominated by lecture-based methods with limited instructional media, resulting in low levels of student independence and understanding. This study aimed to develop and examine the feasibility, practicality, and effectiveness of an interactive e-book based on Canva for Oral Communication materials in Indonesian Language. The study employed a Research and Development (R&D) method using the ADDIE development model, consisting of analysis, design, development, implementation, and evaluation stages. The research subjects included 36 students in the needs analysis stage, 5 students in the small-scale trial, and 31 students in the large-scale trial. Data were collected through observation, questionnaires, learning outcome tests, and documentation, and analyzed using descriptive qualitative and quantitative techniques. The validation results indicated that the Canva-based interactive e-book was categorized as very feasible, with validation percentages of 100% from the material expert, 88.24% from the media expert, and 95% from the language expert. The small-scale trial showed a practicality percentage of 82.2%, while the large-scale trial reached 88.39%, both classified as very practical. In addition, the pre-test and post-test results in the large-scale trial demonstrated an increase in students’ average scores and a higher number of students achieving the Minimum Mastery Criteria (KKM). Therefore, the Canva-based interactive e-book is feasible, practical, and effective as a learning medium to enhance students’ understanding, motivation, and independent learning in Oral Communication for vocational high school students.

This study is titled Analysis of the Incumbent's Defeat in the 2024 Regional Head Election in East Flores Regency (A Study of Antonius Hubertus Gege Hadjon's Defeat in East Adonara District), with the aim of analyzing the factors that led to the defeat of incumbent Antonius Hubertus Gege Hadjon in the 2024 Pilkada. This study uses Pierre Bourdieu’s political modality theory, including political, social, economic, and cultural capital. A qualitative approach with a descriptive method is employed, and data is collected through interviews with subjects consisting of the incumbent candidate, a religious leader, a youth leader, a community leader, two party representatives, and the success team. The study focuses on the support base in East Adonara District. The results of the study indicate that the incumbent's defeat was caused by the weakening of political capital, especially due to the vacancy in the regent’s position for two and a half years, which strengthened the opponent's position. This caused stagnation in public services and a decrease in the intensity of local government communication. In addition to these structural factors, weak internal party consolidation and public sentiment about uneven development also contributed to the defeat, indicating the incumbent's failure to manage his political capital amidst the dynamics of governance.

This study aims to analyze the perceptions of students from various majors regarding the urgency of legal protection for the Napoleon wrasse (Cheilinus undulatus), a rare and endangered marine species that plays a crucial role in maintaining the balance of coral reef ecosystems. This fish faces serious pressure due to overexploitation and illegal trade, thus requiring special attention from a legal and conservation perspective. This study used a qualitative descriptive approach with purposive sampling technique, involving students from marine, fisheries, environmental, and legal departments. Primary data were collected through a questionnaire designed to elicit respondents' insights, level of understanding, and recommendations regarding the protection of this species. The data obtained were then analyzed using thematic analysis to identify patterns of perception and key ideas. The results showed that the majority of students considered legal protection for the Napoleon wrasse to be very urgent. They advocated for strengthening regulations, stricter law enforcement, increased surveillance in water areas, education for coastal communities, development of conservation and cultivation programs, and strengthening international cooperation. The implications of this study emphasize the importance of a comprehensive and collaborative protection strategy to support the sustainability of marine resources.

This study aims to analyze the role of Digital Public Relations (DPR) in maintaining public trust in Kopi Tuku's reputation through its Instagram account @tokokopituku. Using qualitative methods with documentation studies, this study analyzed feed posts, captions, comment interactions, and related digital documents. The results show that Kopi Tuku implements a consistent digital communication strategy through simple visuals, humanistic storytelling, and a friendly style of language. This creates a deep perception of authenticity and transparency in the eyes of consumers. Although comment interactions are not too intense, the principle of symmetrical communication is still applied with quick and friendly responses. The consistency of brand values ​​and identity further strengthens public trust, maintaining Kopi Tuku's reputation amidst the intense competition in the coffee industry. This research contributes to the development of digital PR studies and serves as a reference for local coffee industry players in formulating social media-based communication strategies to build closer relationships with consumers.

The rapid development of digital technology has significantly transformed financial transactions in Indonesia, particularly through the growing use of e-wallets as practical and efficient payment tools. In a country with a Muslim-majority population, ensuring that e-wallet services comply with Islamic principles—free from riba, gharar, and maysir—is essential. This study aims to analyze Indonesia’s legal politics in regulating the use of e-wallets within the Islamic financial system and to assess their alignment with sharia principles. This research employs a normative juridical method with a qualitative descriptive approach by examining laws, regulations, and fatwas related to sharia-based fintech. The findings indicate that the Indonesian regulatory framework—through the OJK, Bank Indonesia, and DSN-MUI—has attempted to harmonize policies to support sharia-compliant digital financial services. However, several challenges remain, including limited e-wallet platforms with sharia certification, low digital sharia literacy among users, and the absence of detailed technical regulations specific to sharia e-wallet operations. This study recommends strengthening regulatory guidelines, increasing public literacy, and enhancing collaboration between regulators and the fintech industry to promote the development of sharia-compliant e-wallets that are secure, innovative, and aligned with Islamic financial principles.

This study examines how children and their relationship with nature are represented through the character of Antonio in the film Encanto (2021). Antonio is portrayed as a child who can communicate with animals, reflecting innocence, empathy, and a spiritual closeness to nature. This study aims to describe how children's relationship with nature is depicted in the film and to interpret the symbolic meaning behind these interactions. The method used in this study is a descriptive, qualitative approach that draws on theories of child development, symbolism, and children's imagination. The results of this study show that among children, Antonio reflects a harmonious, loving, and open attitude towards other life forms. Animals in the film serve as moral and emotional symbols that reflect the nature of children: the jaguar symbolizes courage, the toucan symbolizes honesty and cheerfulness. In contrast, the capybara symbolizes peace of mind. This study shows that children's films can be a tool for building ecological awareness and social empathy through imagination. The implications of this study underscore the importance of strengthening empathy and environmental balance in children's education through literature and film.

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.  

The objective of this study is to investigate several facets of the role that educators play in the verbal abuse and bullying prevention of students at SMP Negeri 1 Tanjung Raja in Tanjung Raja District, Ogan Ilir Regency. The qualitative descriptive method is being used in this study. The researchers conduct observations and interviews as part of their data collection methods. There were seven informants in total for this investigation. This study is being conducted at Tanjung Raja sub-district, Jalan Sultan Mahmud Badaruddin II, in the Ogan Ilir Regency. The study's findings indicate that educators have a positive impact in educating students about bullying and how to protect themselves from various risks. In addition to this, the role of the teacher and the curriculum in the school is crucial in providing a safe and nurturing environment for the development of the students. It is anticipated that the research findings will be able to make a contribution to more effective education reform in SMP Negeri 1 Tanjung Raja and other schools.  

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.

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.

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.

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 rapid development of modern manufacturing technology has driven the emergence of human-robot collaboration (HRC) as part of the transformation toward a human-centric intelligent production system. In collaborative work environments, robots are not only required to work efficiently but also to interact safely and responsively with operators. However, most conventional industrial robot systems still use rigid motion controls and are unable to dynamically adapt to human activity around them.This research aims to develop a human-robot collaboration system by integrating computer vision technology to detect operator movement and applying adaptive control algorithms to the robot manipulator. The research methodology includes designing a collaborative workstation, implementing a computer vision-based motion detection system, developing an adaptive control algorithm, and evaluating system performance through various experimental scenarios. Evaluation parameters include task completion time, safe distance, and system response time.The results show that the developed system significantly improves the efficiency and safety of human-robot interaction compared to conventional systems, with shorter task times, optimal safe distances, and faster system response to operator movements.

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.