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The increasing frequency and severity of tsunamis in coastal areas underscore the urgent need for efficient Tsunami Early Warning Systems (TEWS). This research aims to optimize TEWS by integrating fast computational tsunami wave modeling to enhance prediction speed and accuracy. The study utilizes numerical simulations employing finite volume methods, along with GPU acceleration, to model tsunami wave propagation and its impact on coastal areas. Machine learning techniques, such as regression trees, are incorporated to analyze large datasets of pre-computed tsunami simulations for accurate forecasting. The results reveal that by applying rapid computational methods, detection time can be reduced by up to 7 minutes, particularly for near-field tsunamis. This significant time-saving enables more effective evacuation procedures and better disaster mitigation efforts. In comparison to conventional systems, the fast computation model also provides more accurate predictions, including tsunami heights and arrival times. The implications of these findings suggest that fast computational methods can substantially improve the current TEWS, allowing for quicker and more reliable tsunami warnings. Moreover, the integration of advanced machine learning techniques ensures the system's adaptability and robustness in predicting tsunami behaviors based on varying data inputs. The potential for implementing this model in tsunami-prone regions worldwide is considerable, offering an improved approach to tsunami disaster preparedness and response. By reducing detection time and enhancing prediction accuracy, the optimized TEWS can significantly minimize loss of life and infrastructure damage, making it a valuable tool for global disaster management strategies.  

Cancer therapy has long faced the challenge of balancing treatment effectiveness with minimizing damage to healthy tissues. Conventional therapies such as chemotherapy and radiotherapy, although widely used, often lead to significant side effects due to their non-specific nature. This study aims to analyze the effectiveness of microscopic robots in delivering drugs precisely to cancer cells, thereby reducing collateral damage. The research employed simulations and in vitro preclinical tests using cancer cell cultures to evaluate both targeting accuracy and safety. Findings indicate that microscopic robots achieved 93% effectiveness in targeting cancer cells while limiting damage to healthy cells to only 10%. Compared to chemotherapy, radiotherapy, chemoradiotherapy, and nanoparticle-based drug delivery systems, microscopic robots demonstrated superior precision and efficiency. These results suggest that microscopic robots hold great potential as a breakthrough technology in precision cancer therapy, offering new possibilities for safer and more effective treatments. However, further research is required to address long-term biocompatibility, control mechanisms within the human body, and clinical validation. This study highlights the transformative potential of integrating microscopic robots into future cancer treatment strategies, contributing to the advancement of personalized medicine.

This study investigates the effectiveness of the Jigsaw cooperative learning model in enhancing fourth-grade students’ understanding of Asmaul Husna in elementary schools. The research employed a pre-test and post-test design, involving an experimental class that applied the Jigsaw method and a control class that used conventional teaching. Data were collected through written tests designed for elementary-level comprehension and observation sheets to record students’ learning activities. The results indicate that the Jigsaw model fosters greater student engagement, encourages collaboration, and facilitates a clearer understanding of the material, as students actively participate in sharing knowledge with peers. In addition, the method nurtures a sense of individual responsibility and improves communication skills among students. The teacher’s role as facilitator proved essential in guiding group interactions and ensuring that learning objectives were met effectively. These findings suggest that the Jigsaw model can serve as an effective alternative strategy for teaching Islamic Religious Education in elementary schools, particularly on topics such as Asmaul Husna that require not only cognitive understanding but also moral application in daily life.

The problem in this research is the lack of variation in learning carried out by teachers in the classroom, due to the inappropriate selection of learning models, so that learning is less than optimal. The aim is to evaluate how effective the Discovery Learning learning model is in increasing student understanding compared to conventional learning methods. The method used is an experiment with a quasi-experimental design, namely Nonequivalent Control Group Design. In this study, there were two groups: an experimental group that was taught using Discovery Learning and a control group that was not given this treatment. The population of this study were all 5th grade students at MIN 1 Soppeng. The research hypothesis analyzed using the T test is the statement that the Discovery Learning learning model influences student learning outcomes. The sample in this study was determined by a saturated population, namely 5th grade students consisting of 45 people. The data collection techniques used in this research were multiple choice tests and observation sheets, with pre-tests and post-tests to measure students' cognitive learning outcomes. The instruments used in this research were tests and non-tests. The average pretest score in the experimental class and control class was almost the same, 71.78 and 71 respectively, but in the posttest, the experimental class increased to 88.65, while the control class only reached 77.55. Thus, the experimental class experienced a more significant increase in the average posttest score compared to the control class, indicating that the intervention or treatment applied in the experimental class was more effective in improving student learning outcomes. Hypothesis testing based on t-test analysis shows significant differences between the two groups, where the calculated t value (11.22771) is greater than the t table (2.016692), so the null hypothesis (H_0) is rejected and the alternative hypothesis (H_1) is accepted. These findings show that the Discovery Learning learning model has a greater positive impact on improving student learning outcomes compared to conventional methods, so it can be concluded that this method is effectively used in science learning at MIN 1 Soppeng.

The concept of gharar in Islamic jurisprudence refers to uncertainty and speculation in transactions, which is prohibited due to its potential to cause loss and injustice. This study aims to examine the definitions, forms, and implications of gharar in modern economic transactions. Using a qualitative method with a literature review approach, data were collected from fiqh texts, books, and scholarly articlesThe findings indicate that gharar can be categorized into minor gharar, which may be tolerated, and major gharar, which is prohibited. Transactions such as conventional insurance and futures trading often involve gharar, but contemporary scholars provide boundaries to distinguish permissible uncertainty from prohibited uncertainty. Therefore, principles of openness, transparency, and clear agreements should be applied to avoid gharar in transactions.

This study aims to analyze the difference in students' reading comprehension ability between innovative and conventional teaching methods. The research uses a quantitative approach with a quasi-experimental design. The sample consists of 30 students, divided into two groups: the experimental group using innovative learning and the control group using conventional learning. Data was collected through a reading comprehension test and analyzed using an independent t-test. The results showed a significant difference between the two groups, with a t-value of 2.419 and a Sig. (2-tailed) value of 0.022, indicating that innovative learning is more effective in improving students' reading comprehension ability compared to conventional learning. These findings suggest that a more interactive and technology-based learning approach can enhance students' understanding. Therefore, innovative learning can be considered more effective in developing students' cognitive abilities.

This study aims to explore the challenges of mathematics learning in grade IX at SMP N 45 Kota Bekasi. The research method used is qualitative with a case study approach. Data were collected through interviews with teachers and students, as well as direct classroom observations. The findings show that the main challenges in mathematics learning include low student motivation, ineffective use of educational technology, and limited learning facilities. In addition, teaching methods that still rely on conventional approaches hinder students' understanding of mathematical concepts. This study recommends the use of more interactive teaching approaches and the utilization of technology to improve the quality of mathematics education at the school.

Enhanced oil recovery (EOR) is the recovery of oil remaining in a reservoir after primary and secondary recovery methods because it has been exhausted or is no longer economical, using thermal, chemical or mixed gas processes. Most conventional methods are not suitable for extracting oil from high temperature and high pressure (HTHP) reservoirs due to chemical degradation in the environment. Alternatively, electromagnetic (EM) energy is used as a thermal method to reduce oil viscosity in reservoirs, thereby increasing oil production. The application of nanotechnology in EOR is also investigated. In this study, we investigate a non-invasive method by injecting dielectric nanofluids into an oil reservoir simultaneously with electromagnetic irradiation, with the aim of increasing oil production by causing disruption at the oil-water interface. During core displacement tests, ZnO and Al2O3 nanofluids were shown to obtain higher amounts of residual oil than commercial sodium dodecyl sulfate (SDS) surfactant without EM irradiation. With EM irradiation, more residual oil is obtained compared to without irradiation. It has also been shown that changing the viscosity of dielectric nanofluids during electromagnetic irradiation increases sweep efficiency, resulting in higher oil recovery.

The use of artificial intelligence is projected to have a significant impact on the preparation of regional government financial reports, especially in terms of reliability and efficiency. This research aims to analyze the use of AI in preparing regional government financial reports which was previously carried out conventionally and the challenges faced by regional governments in adopting it. This research uses a literature study method to identify trends and findings related to the use of AI in regional financial accounting. The research results show that AI is able to increase efficiency and reliability, although there are challenges in its application, such as the need to adapt and improve the quality of human resources and vulnerabilities in financial data security.

Efficient energy use in household appliances has become a primary concern as awareness of environmental sustainability grows. Smart electric stoves with automatic temperature control features offer an innovative solution to enhance energy efficiency while ensuring comfort and safety during use. This study aims to design and develop a smart electric stove system based on a microcontroller with automatic temperature control algorithms. The system employs temperature sensors to detect real-time temperature changes and a Proportional-Integral-Derivative (PID) algorithm to maintain stable temperatures as set by the user. A simple and intuitive user interface is designed to facilitate operation, while the automation feature allows the system to shut off the heating element independently when the temperature exceeds a safe threshold. Test results demonstrate that the designed system can reduce energy consumption by up to 25% compared to conventional electric stoves without automatic controls. Therefore, this research significantly contributes to the development of energy-efficient and safe smart kitchen appliances.

Innovation in sharia-based financial technology (sharia fintech) provides solutions to challenges in the microfinance sector, especially for micro, small, and medium enterprises (MSMEs) who have difficulty accessing conventional financial services. This study aims to analyze the role of sharia fintech in microfinance and its impact on economic empowerment. The method used is a qualitative descriptive analysis through literature studies, which includes a review of sharia fintech platforms operating in Indonesia. The results of the study show that sharia fintech has succeeded in providing easier and more transparent access to financing for MSMEs with the principle of risk sharing, which supports financial inclusion. Sharia fintech also increases the competitiveness of MSMEs and encourages economic growth. However, challenges related to regulation, financial literacy, and data security still need to be overcome to maximize the potential of sharia fintech. This study concludes that sharia fintech is an effective digital solution in supporting economic empowerment in Indonesia.

This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, particularly in high-density urban transportation environments. Therefore, an automated and intelligent solution is required to support real-time monitoring and operational decision-making. The proposed system employs deep learning-based object detection to identify and count passengers from video streams captured by cameras installed inside buses. Two camera positions, namely front and rear views, were evaluated to assess system performance under different visual conditions. The experimental results show that the system achieves high detection accuracy in the front camera view, with a confidence score of 0.82, indicating reliable performance in scenarios with minimal object occlusion. In contrast, the rear camera view demonstrates slightly lower accuracy, with a confidence score of 0.76, mainly due to increased object overlap and variations in lighting conditions. These findings emphasize the importance of appropriate camera placement and environmental consideration in improving detection reliability. In addition, the implementation of the proposed system enables real-time monitoring of passenger flow, which supports dynamic scheduling, demand-based route planning, and efficient fleet management. Accurate passenger data allows transportation operators to optimize service allocation, reduce congestion, and enhance overall service quality. Overall, this study contributes to the development of intelligent transportation systems by demonstrating the practical applicability of deep learning-based passenger counting solutions. The proposed approach offers strong potential for real-world deployment in smart city environments, supporting the creation of more sustainable, efficient, and passenger-oriented public transportation services.

Lumpia is a type of food that is very popular in Asia, especially in Indonesia and the Philippines. This food consists of a thin skin filled with various ingredients, such as vegetables, meat, or sweet ingredients. The history of spring rolls can be traced back to Chinese cultural influence in Southeast Asia, where spring rolls were known as "spring rolls". Thin and crispy spring roll skin is made from flour mixture mixed with water and a little oil, then fried until crispy. The methods used in this activity include lectures, questions and answers or discussions, and training. The results obtained are that Lumpia with Chocolatos filling offers several advantages compared to conventional spring rolls. Apart from the pleasant sweet taste, these spring rolls are also easy to make and are liked by all ages. Its popularity is increasing thanks to the ease of obtaining the ingredients and its ability to be made into an attractive snack or dessert. This innovation shows how traditional culinary delights can develop and adapt to modern tastes, creating new opportunities in the snacks and snacks industry.

The importance of Islamic accounting in this modern era is increasingly relevant, especially in preventing unexpected practices such as fraud, dishonesty and other abuses in the world of accounting. Specifically, this paper analyzes the values of Islamic principles applied in the accounting process to avoid the emergence of these practices. The methodology used in this research is descriptive analysis, where the author elaborates on the main elements of Islamic principles applied in accounting. Furthermore, this paper attempts to differentiate clearly between the basic values underlying Islamic accounting and conventional accounting.The comparative findings between the two systems show that Islamic values, such as honesty, fairness and truth—which are important principles in Islamic accounting—have a deeper meaning when compared to the same values in conventional accounting. The firm application of Islamic principles in accounting can clearly reduce fraudulent practices and other unexpected activities. Apart from that, this also contributes to increasing social welfare for stakeholders, because Islam encourages society to provide maximum benefits to other communities.The practical implication of this research is the need to redefine values in conventional modern accounting, so that stakeholders can obtain greater benefits and reduce potential losses for society. The value of financial reporting should not only reflect current conditions, but also provide solutions that can improve the welfare of stakeholders.    

Learning media are tools that assist in teaching and learning activities, helping teachers represent concepts that cannot be conveyed through words or sentences alone. Through a playful approach, this article proposes visual-based learning media in the form of a traditional game (cublak-cublak suweng) in an engaging and enjoyable manner for students. The article discusses the benefits of the traditional game (cublak-cublak suweng) as a learning resource. By combining conventional learning with elements of play, this method is expected to increase students' interest in learning media and deepen their understanding of fundamental scientific concepts. The research method used in this study is descriptive qualitative. The methodology aims to gain a deeper understanding of visual-based learning media in the form of the traditional game (cublak-cublak suweng). In this study, the researcher used several data collection techniques, including observation, interviews, and documentation.

Online learning has become an essential component of modern education; however, conventional online learning platforms often rely on two-dimensional interfaces that limit user engagement, interaction, and immersion. These limitations reduce learning motivation and hinder the creation of an effective learning experience, particularly for activities that require active participation. To address these challenges, this research focuses on the design of User Interface (UI) and User Experience (UX) for online learning implemented in a Virtual Reality (VR) environment. The objective of this study is to develop a user-centered VR-based online learning interface that enhances interaction, usability, and learning comfort. This research applies the Design Thinking methodology, which consists of five stages: empathize, define, ideate, prototype, and test. User needs and usability issues were identified through observations and interviews, followed by interface design and prototype development of a VR learning environment featuring chat rooms, whiteboards, slide presentations, and virtual representations of teachers and students. Usability evaluation was conducted using the Maze platform to measure user success rates in completing predefined tasks. The results show that 80% of users completed tasks through the expected interaction paths, exceeding the minimum usability threshold of 70%, while 20% of users failed to complete the tasks, indicating areas for improvement. These findings demonstrate that the proposed UI/UX design effectively supports user interaction and usability in a VR-based learning environment. In conclusion, this study confirms that integrating Design Thinking into the UI/UX design process contributes to the development of effective and user-centered VR-based online learning systems, while also highlighting the importance of usability evaluation for refining immersive educational interfaces.

This research aims to improve students' Mahārah Al-Kitābah (writing ability) through learning calligraphy. The problem raised was the low writing skills of students in elementary schools, which had an impact on their ability to convey ideas and information effectively. This research used an experimental method with a pre-test and post-test design, involving two groups of students: one group who were taught to write using calligraphy techniques and a control group who followed conventional learning. Research findings showed that the group that received calligraphy learning experienced significant improvements in Mahārah Al-Kitābah compared to the control group. The average post-test score of the calligraphy group increased by 30% compared to the pre-test, indicating the effectiveness of this method in improving writing skills. The implications of this research indicate that integrating calligraphy learning in the curriculum can be an effective strategy for improving students' writing skills, as well as fostering their interest and love for the art of writing. In addition, the results of this research can be a reference for educators in designing more innovative and interesting teaching methods to improve Arabic language skills in schools.

Immigration is related to the traffic of people entering or leaving Indonesian territory and its supervision to maintain state sovereignty. Immigration functions include providing immigration services, law enforcement, and maintaining the security and comfort of the country, while contributing to the development of community welfare. With the increase in crimes involving fake identities or misuse of other people's identities, immigration must be stricter in checking travel documents used by Indonesian citizens and foreign nationals when entering and leaving Indonesian territory. Therefore, immigration introduced a new passport design and implemented the use of electronic passports. The research method used in this research is a descriptive qualitative method. The research results show that changes in passport design can increase state sovereignty and security, because the new design is difficult to imitate. This can be seen from the materials used in making the new passports as well as the designs that highlight elements of Indonesian culture. Applying for an electronic passport does require higher costs than a regular passport, but offers advantages that conventional passports do not have, including a better level of security. Using an electronic passport also makes it easier for the holder to undergo immigration service administration because this passport uses a biometric system that only needs to be scanned.

This research was motivated by the lack of enthusiasm of class X MA Assalam Jambewangi Selopuro Blitar students in learning history. History learning is carried out in the classroom in a conventional way which seems monotonous and boring. This greatly affects students' way of thinking, creativity and understanding of the material and has an impact on learning outcomes that are less than optimal, therefore it is necessary to innovate learning methods so that the idea emerged from researchers to research the use of Penataran Temple as a source of historical learning. The problem formula in writing this inscription is 1. What are the steps for learning history, 2. What are the supporting and inhibiting factors, and 3. What are the implications of implementing history learning (by using the Penataran Temple Site as a source of history learning by applying to class X MA students Greetings). This research aims to find out the steps for learning history, what are the supporting and inhibiting factors, and what are the implications of implementing the use of the Penataran Temple Site as a source of history learning by applying the inquiry method to class X MA Assalam students. This research is a descriptive qualitative type of research with data collection techniques through observation, in-depth interviews and documentation.

The Indonesian Digital Business Polytechnic has made a significant contribution to SMA Bina Pendidikan 2 through the implementation of PPDB website training and digital marketing. This community service activity is a tangible form of the university's commitment to answering the challenges of the digital era. The issue and focus of this community service is that SMA Bina Pendidikan 2 has a shrinking number of students every year, this is due to the lack of massive new student registration information and the absence of technology to support PPDB SMA Bina Pendidikan 2. The implementation of PPDB Website Development & Digital Marketing Training at SMA Bina Pendidikan 2 Bogor, it is proven that teachers and staff have shown an increase in understanding related to the concept of website creation and digital marketing, which includes aspects of the target market, copywriting to procedures for creating a website. Teachers and staff learn that marketing schools is not only conventional strategies in this era, but also requires us to enter the world of technology and digital to reach a wider market, as well as increase publishers about schools. This increase in understanding is reflected in the results of the pre-test evaluation and material presentation which shows an increase in knowledge in understanding the concept of website creation and digital marketing.