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The objective of this research is to devise a personalized recommendation system for a freelancing platform to optimize the freelancer project matching process. This enhancement is intended to improve user experience and increase the success rate of projects. The system will recommend projects to freelancers based on their skills and preferences by employing data analysis and machine learning methodologies. The research methodology adheres to the Cross Industry Standard Process for Data Mining (CRISP-DM), incorporating six stages: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The proposed project employs a hybrid recommendation strategy, integrating Content-Based Filtering through KNearest Neighbors (K-NN) and Cosine Similarity, Collaborative Filtering via Singular Value Decomposition (SVD), and recommendations derived from Word2vec. Evaluation metrics such as precision, recall, F1 score, MAP, and MRR are utilized to assess model performance. The results, including precision scores of 0.80 for KNN and 0.728 for SVD, recall scores of 0.60 for KNN and 0.623 for SVD, and F1 scores of 0.69 for KNN and 0.671 for SVD, as well as a MAP of 0.75 and MRR of 0.80 for Word2vec, demonstrate the efficacy of the hybrid recommendation system in delivering accurate and varied project suggestions to freelancers, with a weighted average ensemble learning model emerging as the most effective solution.

This research was motivated by the concern of the SPNF SKB 1 Samarinda institution towards increasing the skills and  knowledge learing residents. The aims of the research are (1) to describe of the Life Skills program through culinary training  for residents studying Package C at SPNF SKB 1 Samarinda, (2) to describe the success factors for implementing the Life Skills program through culinary training for residents studiying Package C at SPNF SKB 1 Samarinda. This research uses a qualitative approach with data collection techniques through observation, interviews, and documentation studies. The informants consisted of 1 head of the institution, 1 instructor, and 2 students. Data analysis techniques use data reduction, data presentation, and drawing conclusions. Validity of data using triangulation of techniques and  sources. The research results show that Implementation of the Life Skills Program through Culinary Training has been carried out optimally, through several stages, namely training plainning, analysis of training needs through socialization, joint discussions and data collection tailored to the needs of learning residents, as well as funding allocated compregensively for training through central government. Secone, the training is carried out through practical methods, with the instructors role as informator, facillitator, motivator and evaluator, then the media used is audio and visual and teaching materials with modules created by the instructor. The three evaluations were carried out through observations of the training implementation with question and answer. The success factors in implementation with questions and answers the competence of competent instructors, active participation of learning residents in the training, as well as complete facillities and infrastructure.

This study evaluates the effectiveness of the "English for Specific Purposes for Meetings" textbook authored by Kenneth Thompson, published by OXFORD University Press, through a descriptive analysis method. Drawing on Tomlinson's theoretical criteria, the evaluation highlights the textbook's alignment with learner needs and its efficacy in fostering engagement and confidence in professional communication settings. Findings indicate that the textbook effectively integrates contemporary topics and diverse learning activities to support authentic language use and active learning. However, a notable area for improvement is the need for outcome feedback opportunities. Overall, while the "English for Meetings" textbook demonstrates substantial effectiveness in addressing learner needs within professional contexts, areas for enhancement exist, suggesting avenues for future research to inform improved language teaching practices for ESP learners.  

Education and local wisdom in the era of global perspective is how the role of a teacher in guiding students without leaving the values of local wisdom that exist in society. In learning at school, especially history lessons, there should be an introduction to local history in Musi Rawas Regency. The history education internal community partnership program aims to socialize the introduction of Local History in an effort to foster historical interest in MA MuhajirinTugumulyo, Musi Rawas Regency The importance of socializing the introduction of local history is to increase the knowledge and experience of both learning students and teachers at MA Muhajirin Tugumulyo, Musi Rawas Regency. The service team has an obligation to provide socialization in the field of history so that it can be useful for the development of science and technology in society. The field of history does not only talk about the past but the advancement of science and technology can be utilized as the main source through the elaboration of local history around the community. This community service activity is expected to be able to contribute both teachers and students at MA Muhajirin Tugumulyo, Musi Rawas Regency. The implementation of this community service was carried out at MA Muhajirin Tugumulyo, Musi Rawas Regency as a form of team attention in the field of history to maintain the existence of local history, especially for the younger generation. This service uses an implementation method in the form of steps to be taken in providing training through the stages of material preparation, activity implementation, and activity evaluation stages.

Education and local wisdom in the era of global perspective is how the role of a teacher in guiding students without leaving the values of local wisdom that exist in society. In learning at school, especially history lessons, there should be an introduction to local history in Musi Rawas Regency. The history education internal community partnership program aims to socialize the introduction of Local History in an effort to foster historical interest in MA MuhajirinTugumulyo, Musi Rawas Regency The importance of socializing the introduction of local history is to increase the knowledge and experience of both learning students and teachers at MA Muhajirin Tugumulyo, Musi Rawas Regency. The service team has an obligation to provide socialization in the field of history so that it can be useful for the development of science and technology in society. The field of history does not only talk about the past but the advancement of science and technology can be utilized as the main source through the elaboration of local history around the community. This community service activity is expected to be able to contribute both teachers and students at MA Muhajirin Tugumulyo, Musi Rawas Regency. The implementation of this community service was carried out at MA Muhajirin Tugumulyo, Musi Rawas Regency as a form of team attention in the field of history to maintain the existence of local history, especially for the younger generation. This service uses an implementation method in the form of steps to be taken in providing training through the stages of material preparation, activity implementation, and activity evaluation stages.

This research aimed to analyze the content of the English textbook "English for International Tourism" by Peter Strutt using the approach proposed by Brian Tomlinson. The research utilized a qualitative descriptive technique through checklist observations of several indicators of book content criteria. The analysis focused on the relevance, coherence, learner engagement, suitability, readability, and creativity of the materials presented in both textbooks. The findings revealed that "English for International Tourism" successfully presented updated, varied, engaging, and challenging content that not only fostered learner engagement in the tourism industry but also aided in developing learners' confidence and relevant language skills. Moreover, this book met various criteria for effective language learning materials, including facilitating learner comfort, building confidence, providing relevant and useful content, and offering opportunities for communicative language use. The book also considered various learning styles, affective attitudes, and provided feedback for delayed positive instructional effects.

Education as an Equal Right without Discrimination Education is considered a right that must be obtained by every individual regardless of background, economic status or physical condition. Within the framework of the national education system regulated by Law Number 20 of 2003, education is fully guaranteed without any form of discrimination. This encourages the importance of implementing inclusive education evenly at all elementary school levels. This article aims to outline creative learning strategies in the context of inclusive education, especially at the elementary school level, using a literature review as a basis. This research explores various library sources through search engines. The article explains that learning for students with special needs in elementary schools does not only focus on developing motor skills, but also on the ability to interact in a social environment. Teachers who implement creative learning strategies can increase the effectiveness of learning objectives, materials, media, teaching methods, evaluation, and student learning environments. Several learning strategies that can be applied to students with special needs in elementary schools include remedial teaching, deductive, inductive, heuristic, expository, classical, cooperative and behavior change strategies. To support this need, it is recommended that teachers explore the use of learning media that are friendly for students with special needs, such as puzzles, to create an inclusive learning environment and support optimal development for all students.

The rapid growth of data-intensive applications has posed significant challenges for classical machine learning (ML) algorithms, particularly in terms of computational efficiency and scalability. This study explores the role of quantum computing in optimizing machine learning performance through the implementation of Quantum Machine Learning (QML), specifically using the Quantum Support Vector Machine (QSVM) model. The research adopts a Design Science Research approach, involving problem identification, model development, system implementation, and performance evaluation. Both classical Support Vector Machine (SVM) and QSVM models are developed and tested using benchmark classification datasets. The results indicate that QSVM outperforms the classical SVM model across multiple evaluation metrics, including accuracy, precision, recall, and F1-score. Additionally, QSVM demonstrates improved computational efficiency by reducing training time, particularly when handling high-dimensional data. These improvements are attributed to the ability of quantum computing to utilize quantum kernel methods and map data into higher-dimensional feature spaces, enabling better pattern recognition and classification performance.  Despite these promising outcomes, the study also identifies several limitations related to current quantum hardware, such as noise, decoherence, and limited qubit availability, which may affect scalability and practical implementation. Therefore, further research is required to enhance quantum hardware reliability and develop hybrid quantum-classical models. In conclusion, quantum machine learning offers a promising solution to overcome the limitations of classical approaches, providing enhanced performance and efficiency for complex data processing tasks in future intelligent systems.

The rapid growth of digital technologies has significantly increased the complexity and frequency of cyber threats, making network security a critical concern in modern information systems. Traditional security approaches, such as rule-based and signature-based systems, are often limited in detecting sophisticated and unknown attacks. Therefore, this study proposes an Anomaly-Based Intrusion Detection System (AbIDS) utilizing machine learning and deep learning techniques to enhance detection capabilities. The research adopts a Design Science Research approach, involving stages of problem identification, data collection, preprocessing, model development, system implementation, and evaluation. Several models, including Decision Tree (DT), Support Vector Machine (SVM), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM), are implemented and compared. The results indicate that deep learning models, particularly LSTM and CNN, outperform traditional machine learning methods in terms of accuracy, precision, recall, and F1-score, while maintaining a lower false positive rate. Additionally, the integration of incremental learning enables the system to adapt to new attack patterns without requiring complete retraining, improving scalability and real-time performance. Despite the promising results, challenges such as computational complexity and false positives remain. Overall, the proposed IDS model demonstrates strong potential as an effective and adaptive solution for enhancing network security in dynamic environments.

This study aims to evaluate the effectiveness of English textbooks for special purposes, particularly in the context of learning English for education. The content analysis method was used to evaluate the textbook with a focus on its purpose, content, methodology, and practical aspects. The results of the analysis showed strengths in purpose, approach, design and organization, as well as language aspects such as vocabulary and grammar. However, there were weaknesses in content coverage and integration of important components such as grammar and pronunciation. The implication is that this study emphasizes the importance of textbook evaluation to ensure the quality and effectiveness of learning, by adapting the materials to learners' needs and integrating methodologies that are in line with the latest educational developments.

The rapid advancement of deep learning technologies has significantly transformed healthcare analytics, particularly in medical data prediction and classification. This study proposes a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM) framework for multi-modal healthcare data analysis, integrating medical imaging, structured electronic health records (EHRs), and IoT-generated time-series physiological signals. The proposed architecture combines spatial feature extraction through CNN with temporal dependency modeling via LSTM to enhance predictive accuracy and clinical decision support. A quantitative experimental design was employed, utilizing multi-source healthcare datasets that underwent preprocessing, normalization, and feature engineering prior to model training. The performance of the hybrid model was evaluated using Accuracy, Precision, Recall, F1-Score, AUC-ROC, and Mean Absolute Error (MAE), and compared with conventional machine learning models and standalone deep learning architectures. Experimental results demonstrate that the proposed CNN–LSTM model achieves superior performance, with improved classification accuracy and reduced prediction error, while maintaining strong generalization capability. The findings indicate that integrating spatial and temporal feature learning significantly enhances disease detection, risk stratification, and personalized treatment planning. This approach supports the development of intelligent clinical decision support systems and scalable smart healthcare environments. The proposed framework offers a reliable and efficient solution for advanced healthcare analytics in IoT-enabled systems.

Virtual Reality (VR) is not new in today's digital era. This technology has developed very quickly and has penetrated into many aspects of life, such as education. In this article, researchers reviewed current and previous research, to understand the extent to which Virtual Reality (VR) technology is used as an alternative learning media in educational institutions using the Systematic Literature Review (SLR) method by defining research questions as the first step. The search process was carried out from Scopus database using Publish or Perish 8 tools, and the selection of articles was based on inclusion and exclusion criteria related to the research questions. There were 200 articles found in the early stages of the search with a total of 22 articles that met the inclusion and exclusion criteria. The results obtained are in the form of a discussion of several aspects related to the use of virtual reality as a learning medium, such as: the type of technology, the location of educational institutions that use VR, learning domains, educational levels, evaluation techniques for learning with VR, and the purpose/benefit of its use.

This study explores the development and evaluation of an adaptive Intrusion Detection and Response System (IDRS) driven by Reinforcement Learning (RL) for securing 5G networks. The RL-based IDS is designed to overcome the limitations of traditional security systems by dynamically learning from real time network traffic and adapting to emerging cyber threats. Introduction: The rapid growth of 5G networks, with their increased number of connected devices and complex traffic patterns, necessitates advanced security solutions that can detect and respond to evolving cyberattacks. Literature Review: Traditional Intrusion Detection Systems (IDS), including signature based and anomaly based methods, are not equipped to handle the dynamic nature of 5G networks, leading to high false positives and low detection accuracy. In contrast, RL offers significant improvements in adaptability, detection accuracy, and response time. Materials and Method: The study simulates 5G network traffic and develops an RL-based IDS using Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO) techniques. The performance of the RL-based system is compared to traditional IDS systems, focusing on detection accuracy, false positive rates, and response times. Results and Discussion: The RL-driven IDS demonstrated superior performance, achieving higher detection accuracy (95%) and faster response times (30 milliseconds) compared to traditional methods. However, challenges such as computational cost and model interpretability were identified. The study emphasizes the importance of adaptive learning mechanisms and the integration of RL into Zero Trust Architecture (ZTA) to enhance the security of 5G networks.

Real Work Lecture (KKN) collaborated with Field Experience Practices (PPL) in increasing student potential through English-based learning. English is a world language used to communicate between countries. The ability to speak English must be owned by everyone, especially elementary school children. English-based learning in education is often implemented with less attractive media, so students' interest in learning English is quite low. This article examines the implementation of work programs that meet the needs of Anuban Jitjongrak school community in improving English language skills. Language and facility limitations are a challenge for students in implementing appropriate work programs. The service method carried out KKN-PPL debriefing, observation and interviews, implementation of work programs, and evaluation of activities. As for the target in the implementation of this KKN-PPL are students at Anuban Jitjongrak School.

This study aims to analyze the importance of facilities and infrastructure management in supporting the quality of educational services in educational units. In the context of modern education, facilities and infrastructure not only function as technical support for teaching and learning activities, but also as indicators of the quality of educational institutions. This research uses the library research method by examining various scientific sources, both in the form of journals, books, and relevant research reports. The results of the study show that effective management of facilities and infrastructure includes the process of planning, procurement, utilization, maintenance, and continuous evaluation of educational facilities. Each of these stages has an important role in ensuring the availability of a safe, comfortable, and conducive learning environment for all school residents. In addition, transparent and participatory management can increase a sense of responsibility, care, and efficiency in the use of facilities. The management of facilities and infrastructure based on the needs of students and the development of information technology has proven to be able to strengthen the quality of educational services and support the achievement of learning goals optimally. These findings provide practical implications for schools and policymakers to continue to strengthen data-driven educational facilities management systems and cross-stakeholder collaboration.

This research aims to improve reading literacy using Antonin board media in class 2 of SDS NU Kencong in the 2022/2023 academic year. The method used is to carry out community service through 5 stages, namely observation, formulating problems, creating materials, carrying out counseling and evaluation. As a result of the counseling using antonym board media, students became active and enthusiastic in participating in learning, but there were some students who had difficulty reading due to their lack of familiarity with reading. This antonym board media makes the learning process fun and interesting. This is an innovation to increase students' interest in reading literacy. In the future, it is hoped that there will be further innovation regarding learning media with the target of teachers being able to help students enjoy reading.

Entrepreneurship and product design training is a strategic approach to foster creativity, innovation, and independence among vocational students. This community service activity aimed to introduce basic concepts of entrepreneurship, product idea development, and creative thinking to students at SMK Terpadu Husnul Hidayah Gondang Mojokerto. The implementation methods included initial observation, lecture presentations, discussions, and evaluation through pre- and post-training questionnaires. Results indicated that 92% of participants experienced an increase in understanding of entrepreneurship and product design. The training was considered highly beneficial by 84% of participants, while 79% appreciated the interactive learning process. This activity demonstrates that integrating entrepreneurial education into vocational schools can enhance student readiness for the challenges of the business world.

This research aims to describe the application of the PAIKEMI learning strategy in PAI learning. The application of the PAIKEMI learning strategy in Islamic Religious Education (PAI) aims to increase student achievement and engagement. This strategy focuses on student-centered learning, making learning active, innovative, creative, effective, fun and Islamic. In this research, the library research method was used. Data collection was carried out by utilizing library sources such as books, documents and journal articles. The research results show positive results in the implementation of PAIKEMI, which leads to increased cognitive competence and active participation of students. This strategy includes planning, implementation, factors that influence its effectiveness, and evaluation of student learning outcomes. By incorporating PAIKEMI into PAI classes, educators can create a more meaningful and enjoyable learning environment, fostering collaboration, creativity and effectiveness among students. This strategy includes approaches such as “Everyone Here is a Teacher”, which encourages active participation and individual engagement. Additionally, teachers undergo training and collaborative sessions to implement PAIKEMI effectively, ensuring successful lesson planning and student engagement.

Inclusive education is about the equal rights that every child has. Inclusive education is a process of removing barriers that separate students with special needs from normal students so that they can learn and work together effectively in one school. This research aims to determine PAI learning management in inclusive schools. In this research the author analyzed the data using qualitative analysis techniques. The method used in this research is qualitative research based on research libraries (library research). There are four results from this research, among others (1) planning PAI learning for ABK in an inclusion setting (2) implementing PAI learning with various strategies (3) Evaluation of PAI learning results (4) Obstacles faced in planning, implementing and evaluating PAI learning in inclusive schools.

The aim of this research is to develop valid and practical learning media for the basics of visual communication design. The process of learning the basics of visual communication design at SMKN 1 Pasaman is not optimal, this is caused by several problems, namely the availability of learning media only in the form of printed books that students borrow from the school library. This causes students to not understand the learning material and be less motivated to study and cause low student grades. Based on the data obtained, the students' KKM completion score was only 53%. This research uses the Research and Development (R&D) research and development method with the ADDIE model which consists of 5 stages, namely Analysis, Design, Development, Implementation and Evaluation at each stage. This research involved 36 class X DKV students who took part in learning the basics of visual communication design. The results of this research are Android-based learning software that can be used as a complement to the learning process, especially in the basics of visual communication design subjects. Data collection techniques are in the form of observations and questionnaires, while data collection instruments are in the form of validity questionnaires and practicality questionnaires. The data analysis technique uses a Likert scale with the Aiken formula. The results of this research show that the validity value of the media is an average of 81.53% in the "Very Valid" category, while the validity of the material is an average of 93.85% in the "Very Practical" category and the teacher's practicality assessment is an average of 81.77% in the "Practical" category. " while students' practicality assessment averaged 83.3% in the "Practical" category.