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This study presents the integration of a Large Language Model (LLM) Ollama with the OpenStreetMap (OSM) API within a Business Intelligence (BI) framework to develop an intelligent, location-based recommendation system. The system is designed to assist users in finding dining, leisure, and resting places through natural language interaction and contextual understanding. The LLM interprets user input semantically, transforms it into structured spatial queries, and retrieves relevant geospatial data from OSM. The data are then analyzed, categorized, and visualized using BI methods to enhance interpretability and decision-making. The system was implemented using Next.js, Leaflet.js, ensuring interactivity and scalability for web-based deployment. Technical evaluation focused on system accuracy, response time, and output consistency. Results demonstrate an average response time of 1.74 seconds, 80% accuracy, and 80% consistency, proving the model’s efficiency in producing relevant, context-aware recommendations. This integration highlights the potential of combining open geospatial data, local LLMs, and BI analytics to create intelligent, data-driven decision support systems applicable to tourism, urban planning, and spatial information management.

This study aims to develop a web-based Virtual Assistant to improve the efficiency of academic information services at SMA Negeri 1 Parittiga. The research was motivated by the delays and inaccuracies in information delivery caused by the manual system still used in the school. The system development was carried out using the Research and Development approach with the Waterfall model, which includes the stages of needs analysis, design, implementation, and evaluation. The main technologies used are Natural Language Processing (NLP) and the Long Short-Term Memory (LSTM) machine learning algorithm, which allow the assistant to understand and respond to user questions in natural language in a contextual way. The system architecture uses Flask as the backend, Vue.js as the frontend, and Laravel for administrative data management. The testing results show that the system has an accuracy level of 88.4% in providing correct answers and a user satisfaction level of 92%, surpassing the target success rate of 80%. These findings prove that integrating NLP and LSTM can enhance the system's ability to understand conversational context and speed up the distribution of academic information. The study concludes that a web-based Virtual Assistant is an effective solution for the digitalization of school information services and has the potential to support the implementation of artificial intelligence technology in secondary education in Indonesia.

In the modern computing era, servers face significant challenges in data storage due to hardware failures, cyber attacks, or human errors. The problem highlighted focuses on the impact of file systems on three critical aspects: data integrity (accuracy and consistency of data without corruption), data recovery (the ability to restore data after a failure), and failure resilience (fault tolerance, such as redundancy and journaling to prevent downtime). The main issue is that traditional file systems like FAT32 or NTFS are often susceptible to fragmentation, metadata loss, or long recovery times, which can lead to data loss of up to 20-30% on enterprise servers, especially in high-traffic environments like cloud computing.A simple problem-solving process is conducted through a straightforward comparative analysis approach: (1) A literature review of popular file systems (ext4, ZFS, Btrfs); (2) Failure simulations using tools like fsck and stress testing on virtual servers (e.g., via KVM or Docker); and (3) Measuring performance metrics with benchmarking tools like Bonnie++ for I/O throughput, recovery time, and error rates. This process is designed to be simple, requiring only a virtual lab setup without expensive hardware, and is analyzed quantitatively with descriptive statistics.The solution to the problem indicates that advanced file systems like ZFS or Btrfs provide significant improvements: data integrity is up to 95% more secure through automatic checksums, data recovery is achieved in minutes through snapshots and RAID integration, and failure resilience is higher with copy-on-write features. The main recommendation is to migrate to journaling-based file systems for servers, combined with automated backups, which can reduce the risk of downtime by up to 50%. This research provides practical guidance for system administrators to enhance server reliability without excessive additional costs.

In today’s era, we are very familiar with operating systems that function to manage the work of hardware and software so they can be used properly. One of the most widely used operating systems is Windows, because it has an easy-to-understand interface and is capable of running multiple applications simultaneously. To support this, Windows requires a process management mechanism, namely a way for the system to organize running programs so they do not interfere with each other and remain stable. In process management, there is an important component called the Process Control Block (PCB). The PCB can be likened to an identity card or a complete record of a process, as it contains information such as the process ID, status, CPU usage, memory, and files being used. This study aims to analyze the role of the process control block, focusing on how the Process Control Block stores important information regarding the status and activity of each process, ensuring smooth, efficient, and non-conflicting application execution. In this research, experiments were conducted to measure CPU usage, memory, and execution time by various processes with different priorities to observe the information of running processes. The analysis results show that each application has its own Process ID and PCB, which records status, CPU registers, memory allocation, and I/O resources used. The PCB enables multiple applications to perform multitasking effectively.

Improving Reading and Writing Skills through the Use of Letter Card Media in Grade II Students at SDI Betun Kota. This research was conducted based on the problem: how to improve the reading and writing skills of grade II students at SDI Betun Kota by using letter card media. This research was conducted using the CAR method. With research actions carried out in two cycles. Each cycle consists of planning, observation of learning activities, and reflection. The target of this research is grade II students at SDI Betun Kota. Data collection techniques were obtained from the results of pre-tests and post-tests as well as observation sheets for teaching and learning activities. From the results of the analysis, it was found that student learning outcomes increased by 58.62%, while the average n-gain value was 0.71. The results of the study indicate that letter card media is one of the media that can be applied in Indonesian language learning. By using letter card media, the reading and writing skills of grade II students at SDI Betun Kota can be improved. This can be seen from the achievement of students' KKM scores and the percentage that increased from cycle I by 53% and in cycle II by 100%. Thus, student learning outcomes increased by 47% when using letter cards.  

This study aims to improve student discipline through the implementation of the Pancasila Student Profile in first-grade students at SDI Betun Kota. The research background is based on the importance of discipline as the foundation for positive student behavior, which involves consciously, orderly, and responsible adherence to school rules and regulations. Disciplined students have a good understanding of appropriate behavior and are able to implement regular study habits. This study is a classroom action research (CAR) conducted in two cycles, with planning, implementation, observation, and reflection stages in each cycle. The research subjects were 20 first-grade students, while the object of the study was improving student discipline. The research instruments included observation guidelines, documentation studies, and interview guidelines.The results showed that the implementation of the Pancasila Student Profile significantly improved student discipline. In the first cycle, the average student discipline score reached 73.91, with a minimum discipline percentage of 84.56%, of which 55% had achieved the discipline indicator. In cycle II, the average score increased to 84.46, with a minimum discipline percentage of 94.54%. Ninety-five percent of students demonstrated excellent discipline, while 5% were in the good category. Thus, the implementation of the Pancasila Student Profile has proven effective in improving the discipline of first-grade students at SDI Betun Kota.

This community service activity aims to enhance students' understanding and awareness of the green marketing concept and the importance of environmental preservation. Through socialization activities conducted via seminars, interactive workshops, educational module distribution, and group discussions, students of the Management Study Program at Universitas Serang Raya gained insights into sustainable and environmentally friendly marketing practices. Evaluation results indicate a significant increase in students' comprehension of green marketing concepts and environmental awareness. Students also demonstrated active participation, presented creative ideas, and showed commitment to applying sustainability principles within the campus and surrounding communities. This activity contributes to fostering pro-environmental behavior, strengthening students' capacity as agents of change, and supporting the educational institution's role in sustainable development. The results of this service are expected to be an initial step for integrating green marketing and environmental awareness education into the curriculum and ongoing campus activities.

This study originated from the issue of students’ limited comprehension of healthy and nutritious food concepts, which influences their lack of awareness in practicing a balanced diet in daily life. The conventional learning approach with minimal integration of visual aids has made students less engaged and hindered their overall understanding of the material. The primary objective of this research is to enhance fourth-grade students’ understanding of healthy and nutritious food at MI Al-Barokah through the application of picture-based learning media. Planing, implementation, observation, and reflection were the two stages of Classroom Action Research (CAR) that was used in the research. The participants were 25 fourth-grade students of MI Al-Barokah. Data were gathered through observations, interviews, and achievement tests, and analyzed using both qualitative and quantitative descriptive methods. The findings revealed a marked improvement in students’ understanding after the introduction of picture media, as reflected in the increasing average learning scores across cycles, along with greater motivation, participation, and engagement in classroom activities. The integration of picture media proved effective in facilitating a clearer, more engaging, and meaningful grasp of healthy and nutritious food concepts. These results suggest that picture-based instructional media can serve as a valuable strategy to improve the quality of thematic learning in elementary education, especially in lessons concerning healthy living and balanced nutrition.

Cases of non-performance of contract. on the part of the aggrieved party bring the case to the criminal realm. The charge reported is the fraud article, even though the criminal offense has not been fulfilled. So that it has the potential to cause wrong criminalization, the main problem is the inaccurate use of the fraud article against defaults which are basically civil. The research method uses normative juridical with decision analysis and criminal and civil law studies related to non-performance of contract. and fraud. The results show that non-performance of contract. can only turn into a criminal offense of fraud if there are elements of intent, bad faith, use of deception, or falsification of agreements with the intention of benefiting oneself against the law. Therefore, law enforcement officials should be careful in distinguishing non-performance of contract. and fraud cases to avoid abuse of the law that harms the parties concerned. The hopes and solutions proposed are proportional law enforcement by paying attention to the element of malicious intent in determining criminal offenses, as well as legal education to the public so that they understand the difference between the civil and criminal domains in contractual disputes.

The selection process for prospective cadets at a maritime college is routinely carried out every year. In the current system, the processing and calculation of prospective cadet scores uses Microsoft Excel tools, but this takes a long time and can lead to errors in the calculation of scores and the recapitulation of selection results. In addition, unintegrated data can lead to data duplication, resulting in inaccurate selection results that can be detrimental to prospective cadets. A fast, precise, and accurate integrated decision support system is needed to support the selection process for prospective cadets. The author conducted a study on the prospective cadet admission system at UNIMAR AMNI Semarang using the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method to assist in the selection of qualified prospective cadets who meet the established criteria. With this decision support system using the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method, it can be used to solve the selection problem for prospective cadets because it has a short calculation time, is simple, transparent, and has high flexibility. This system will be built using the Codeigniter Framework and a MySQL database.

This research was conducted to evaluate the weld joint quality of V-groove and double V-groove configurations on ASTM A36 low carbon steel using the Self Shielded Flux-Cored Arc Welding (FCAW-SS) method. ASTM A36 was selected as the base material due to its favorable mechanical properties, excellent weldability, and wide application in construction and manufacturing. The welding process was carried out on steel plates with a thickness of 10 mm using E71T-1C wire, under controlled parameters of 140 A current, 24 V voltage, and 1G welding position. The weld quality was assessed through Dye Penetrant Testing (DPT), tensile testing, and bending testing. The Dye Penetrant Testing DPT results showed that the double V-groove joints exhibited fewer and smaller surface defects compared to the V-groove joints, indicating better weld homogeneity. Tensile testing demonstrated an average maximum strength of 277.645 MPa for the V-groove and 301.904 MPa for the double V-groove, reflecting an improvement of approximately 8.7% in the double V-groove. The bending tests revealed that the double V-groove joints were able to maintain structural integrity without significant cracks, while the V-groove joints tended to show defect indications under bending loads. Based on these findings, the double V-groove configuration is considered superior in terms of both strength and toughness, and therefore recommended for structural and manufacturing applications requiring high-quality joints in ASTM A36 low carbon steel.

The modernization of smart grids through edge computing introduces significant cybersecurity challenges, most stemming from adversarial machine learning attacks that compromise distributed intelligence. Although Federated Learning is an appealing decentralized model training paradigm for edge smart grids, its resilience against coordinated injection and evasion attacks has not yet been thoroughly explored. To address this critical gap, we develop and evaluate a resilient Federated Learning model for edge-based innovative grid applications. Under a rigorous simulation-based experimental design, we created a controlled environment based on synthetic energy-demand data and implemented adversarial attack scenarios to ensure model robustness. We propose a resilience enhancement layer in our framework during the federated aggregation process to curtail malicious model updates and adversarial inferences. The results show significant improvement in the stability of the proposed model under attack, maintaining a robustness index above 0.62, whereas baseline approaches exhibit complete degradation. This corresponds to a reduction of approximately 34% in the attack impact rate across different-intensity attack scenarios, while maintaining high stability in aggregation. In addition to the adversarial testing framework in the domain of Federated Learning, this work provides a validated resilience model that secures analytics of smart grids without requiring access to raw data. Our methodology presents a resource-efficient alternative to physical testing and enables safe yet comprehensive security evaluation in critical infrastructure applications.

This study aims to analyze the implementation of inclusive learning in Islamic Religious Education (PAI) in eighth grade students of SMP Negeri 1 Boyan Tanjung and its impact on students' understanding and application of religious values. The main focus of the study includes the strategies, methods, and approaches used by teachers, the challenges faced in their implementation, and solutions that can be applied to improve the effectiveness of inclusive learning. The research approach used was qualitative with descriptive methods. Data were collected through in-depth interviews, direct observation, and document analysis. The research subjects consisted of PAI teachers, eighth grade students, and the principal. Data were analyzed using data reduction techniques, data presentation, and interactive conclusion drawing. The results showed that inclusive learning strategies were implemented through differentiation, discussion methods, project-based learning, and a values-based approach. This implementation contributed positively to improving students' understanding of Islamic teachings and the application of religious values in everyday life. However, several obstacles were still encountered, such as limited facilities, lack of teacher training, and diversity of student abilities. This study concluded that the success of inclusive learning in PAI is highly dependent on the support of various parties, including improving teacher competence, providing adequate facilities, and the active role of schools and parents in creating an inclusive learning environment.

 This study highlights the importance of academic supervision in improving teachers' professionalism and performance, particularly Islamic Education teachers in madrasas. At MIN 1 Musi Banyuasin, academic supervision has not been fully optimized due to limited time, lack of continuous follow-up, and teachers' perception of supervision as an administrative procedure. The study aims to describe the implementation of academic supervision and analyze its impact on Islamic Education teachers' performance. Using a qualitative phenomenological approach, data were collected through observation, documentation, and in-depth interviews. The results indicate that well-planned, reflective, and participatory academic supervision effectively enhances teachers' pedagogical competence, professionalism, and spiritual awareness. Moreover, academic supervision serves as a means of moral and professional development that fosters a religious work culture within the madrasa and supports the continuous improvement of Islamic education quality.

This study aims to examine the effect of using the Survey, Question, Read, Recite, Review (SQ3R) method assisted by digital story texts on students' critical thinking skills in the material "Book of the Window World" of grade V of SD Negeri 104202 Bandar Setia. The background of this study is based on the low critical thinking skills of students due to the dominance of conventional methods that are less varied and minimal use of learning media, especially in Indonesian subjects. This study uses a quantitative approach with a quasi-experimental method and a Nonrandomized Pretest-Posttest Control Group Design. The research subjects consisted of class VA (experimental, n = 22) who received learning with the SQ3R method assisted by digital story texts, and class VB (control, n = 23) who received conventional learning. The pretest results showed that students' initial critical thinking skills were in the moderate category (experimental x ̄ = 67.23; control x ̄ = 51.96). After the treatment, the experimental class' posttest average increased significantly to 82.41, or 15.18 points, while the control class did not experience any significant improvement. A t-test demonstrated a significant difference between the two groups (t count > t table). The study's conclusions indicate that the SQ3R method, aided by digital narrative texts, significantly improved students' critical thinking skills compared to conventional methods.

Background: Early marriage remains prevalent among adolescents aged 15–19 years, a period during which individuals are often medically and psychologically unprepared to assume marital responsibilities. Decisions to marry early are influenced by internal factors such as psychological readiness, emotional maturity, and critical thinking ability, as well as external factors including family pressure, cultural norms, and economic challenges. Objective: This study aims to explore the factors influencing adolescents' decisions to engage in early marriage and examine its impacts on their lives. Method: This research employed a qualitative descriptive design. A purposive sampling technique was used to select 10 adolescents who had experienced early marriage. Data were collected through in-depth interviews and document review, and analyzed thematically. Results: The primary factors contributing to early marriage in Delu Depa Village, Kodi Bangedo District, were premarital pregnancy (2 cases), economic hardship (4 cases), and limited educational attainment (4 cases). The consequences included psychological, health, and social impacts. Psychologically, participants reported experiencing stress, anxiety, and depression. Health-related risks included complications associated with immature reproductive organs, such as premature birth, obstructed labor, and preeclampsia. Social impacts included stigma, limited social interaction, school dropout, and employment in low-skilled jobs to fulfill daily needs. Conclusion: Early marriage poses significant risks to adolescents' psychological well-being, physical health, and social functioning. Strengthened preventive efforts and targeted interventions are needed to reduce its prevalence and mitigate negative consequences.

N the rapidly evolving digital era, decision-making has become a critical aspect across various fields, including education, where choices such as selecting an Islamic boarding school (pondok pesantren) are often influenced by complex and subjective factors. This study addresses the dilemma faced by Diyah, a junior high school student, in determining the best reasons for choosing Pondok Pesantren Darularafah Raya, highlighting the limitations of manual, personal-based processes that fail to systematically consider measurable criteria like educational quality, learning environment, facilities, discipline, and instilled religious values. The advancement of information technology provides a solution through Decision Support Systems (DSS), utilizing the ORESTE (Organization, Rangement Et Synthèse De Données Relationnelles) method, which effectively processes ordinal data to produce objective rankings based on subjective yet structured preferences. Unlike other methods such as SAW or AHP that rely on numerical data, ORESTE emphasizes relative preference weights, making it suitable for individual decision-making contexts like educational choices. The novelty of this research lies in applying ORESTE in a DSS focused on analyzing an individual's best reasons for selecting a pesantren, aiming to reduce subjective bias and enhance rationality. The primary objective is to develop a DSS using the ORESTE method to analyze and determine Diyah's optimal reasons for choosing the pesantren. Through this, the system is expected to accelerate evaluation processes, improve objectivity, and identify dominant factors influencing educational decisions. Findings from the implementation demonstrate accurate rankings that prioritize key criteria, leading to more efficient and data-driven outcomes. Implications include aiding students, schools, and educators in understanding influential factors, fostering objective assessment systems, and serving as a reference for future studies integrating MCDM methods with computer-based systems in personalized educational decision-making.

The development of generative artificial intelligence has opened opportunities for strengthening Islamic legal learning through a digital forum that remains connected to authoritative textual references. This study aims to design and build a web-based bahtsul masail discussion system using a multi-agent AI architecture and the Retrieval-Augmented Generation (RAG) method. The proposed system simulates the deliberative roles commonly found in pesantren-based Islamic legal discussion, namely Moderator, Mubahits, Mu'aridh, and Mushahih. The research applies a Research and Development approach with the Waterfall model, covering requirement analysis, interface design, multi-agent workflow design, implementation, functional testing, and evaluation. RAG is implemented by allowing users to upload PDF documents of kitab kuning and assign the documents to particular agent roles. The uploaded texts are then used as contextual grounding so that each agent can formulate arguments, rebuttals, and final decisions based on traceable references rather than unsupported model memory. The application is implemented using HTML, CSS, and JavaScript on the front end, while the AI reasoning process is orchestrated through an API-based large language model. Functional testing shows that the system can complete five sequential stages of bahtsul masail, display role-based responses, manage uploaded references, and present discussion history. The main contribution of this study is a system design that combines pesantren deliberation procedures with AI-based retrieval support to provide an interactive learning medium for Islamic law, while emphasizing that the final authority of legal validation remains with qualified scholars

This study aims to determine the influence of the Independent Learning Independent Campus Program (MBKM) on the soft skills of students of the class of 2021 in the Department of Economic Education, Gorontalo State University. The method used is quantitative with an explanatory approach, which aims to explain the causal relationship between the variables of the MBKM program and students' soft skills. Primary data was obtained through the distribution of questionnaires to 35 respondents who were active students in the batch. Data analysis was performed using simple linear regression with the help of SPSS software version 21. The results of the study show that the MBKM Program has a positive and significant influence on students' soft skills. This means that the higher the level of student involvement in the MBKM program, the better their abilities in terms of communication, teamwork, time management, adaptability, and confidence. The magnitude of the influence of the MBKM program on students' soft skills reached 65.3%, while the remaining 34.7% was influenced by other factors that were not discussed in this study. These findings provide important implications for the development of curriculum and learning strategies in higher education, especially in integrating the MBKM program as an effort to improve the quality of graduates who are ready to face the challenges of the world of work and global society.  

The quality of education is an important issue that requires an integrated and sustainable management system. One approach that is widely used is Total Quality Management (TQM), which focuses not only on achieving academic standards, but also on the satisfaction of all education stakeholders. Although many studies have discussed IQM, a synthesis is still needed to see how IQM has been applied over the past five years and its contribution to customer satisfaction in education. Therefore, the research questions asked are: (1) how has IQM research in education developed from 2020 to 2025, and (2) to what extent has it contributed to customer satisfaction in education? This article uses a qualitative method based on a literature review (LR). The search process was conducted through the Google Scholar and Publish or Perish databases using the keywords “Integrated Quality Management in Education.” The search yielded 20 articles, which were filtered into 18 relevant articles and further analyzed into 5 main articles. The review results show three main themes: quality system planning and integration, quality culture-based managerial strategies, and quality assurance oriented towards stakeholder satisfaction. The conclusion confirms that IQM contributes significantly to improving quality and customer satisfaction in education. Further research is recommended to test the empirical relationship between IQM practices and stakeholder satisfaction at various levels of education.