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This research aims to identify and analyze the essential instructional tools needed in gas turbine learning for cadets of the Naval Academy's engineering corps using a mixed-method approach with an explanatory sequential design involving 160 respondents, consisting of 120 engineering corps cadets, 15 instructors, and 25 field engineering officers. The research results identified 28 types of gas turbine instructional tools categorized into four groups, with simulators and software showing the highest level of importance (4.65/5.0), and there were significant differences in the perception of importance levels among the three groups of respondents (F(2,157) = 12.45, p < 0.001). The AHP analysis produced a priority framework in four levels, with Level 1 encompassing 5 essential instructional tools: gas turbine simulator (0.742), gas turbine cut-section model (0.698), control system trainer kit (0.681), interactive learning video (0.673), and troubleshooting simulator (0.667). Regression analysis showed that instructional tools significantly contribute to learning effectiveness (R² = 0.742), with the gas turbine simulator as the main predictor (β = 0.384), positively impacting the cognitive aspect with a 26.8% increase in concept understanding (effect size 1.24), the affective aspect with an increase in learning motivation and career interest from 67% to 84%, and the psychomotor aspect with a 33.7% increase in hands-on skills and a 28.5% reduction in troubleshooting time. The resulting priority framework provides strategic guidance for optimizing resources and gradually developing gas turbine learning capabilities in military educational institutions, despite facing major obstacles such as budget constraints, technology compatibility, lack of quality human resources, and limited laboratory infrastructure.

Hydraulic systems are vital components in modern naval vessel operations, controlling 60-70% of all ship operational systems. This research aims to comprehensively analyze the benefits of hydraulic system learning for Engineering Corps cadets at the Indonesian Naval Academy (AAL). The study employed a mixed methods approach with concurrent embedded design, involving 163 cadets for quantitative components and 20 cadets for qualitative components. Data collection techniques included structured questionnaires, pre-test and post-test cognitive tests, practical performance observations, and semi-structured interviews. Quantitative data analysis used descriptive and inferential statistics, while qualitative data was analyzed using thematic analysis. Results showed significant improvement in hydraulic system knowledge with large effect size (Cohen's d = 2.31) and average score increase of 28.8%. Cadets' perception of learning benefits was highly positive (M = 4.31 on a 5-point scale), with "Relevance to Operational Tasks" dimension achieving the highest score (M = 4.47). Practical performance showed 74.8% of cadets achieved good to excellent grades. Qualitative analysis identified five main themes: technical understanding transformation, practical competency development, theory-practice integration, soft skills development, and career motivation and orientation. Factors influencing learning benefits included instructor quality (β = 0.34), practical facility availability (β = 0.28), and learning motivation (β = 0.23). This research confirms that hydraulic system learning provides multidimensional benefits encompassing cognitive, psychomotor, and affective aspects, contributing to holistic professional competency development essential for success as Indonesian Navy technical officers.

This research aims to analyze the benefits of learning shipbuilding theory for cadets of the Technical Corps at the Indonesian Naval Academy (AAL) using a mixed methods approach. The research results show that mastery of shipbuilding theory significantly enhances the technical competence of cadets, particularly in understanding ship structure, stability, hydrodynamics, and propulsion systems, and contributes to their operational readiness in the TNI AL environment. However, the main challenges identified include the complexity of the material, limited laboratory and simulator facilities, and the gap between classroom theory and real-world application on warships. The effectiveness of learning is greatly influenced by interactive teaching methods, instructor competence, and the support of learning facilities. This research recommends the development of an adaptive curriculum, increased investment in simulation technology, and collaboration with the maritime industry to enrich the cadets' learning experience. These findings are expected to serve as a basis for the evaluation and development of the shipbuilding theory curriculum at AAL, as well as a reference for other maritime educational institutions in designing more applicable and relevant learning programs that meet operational needs in the field.

This research aims to develop and test the feasibility of products in the form of heyzine flipbook-based learning media in the subject of Lathe Machining Engineering class XI at SMK Kemala Bhayangkari 1 Jakarta. This learning media was developed using the R&D (Research and Development) method using a 4D model consisting of define, design, develop, and disseminate. In the process of assessing the feasibility of this learning media, it provides a validation assessment questionnaire instrument to material experts, media experts, and media feasibility tests to students in grade XI of Machining Engineering as respondents. Learning media is validated by experts with a score of 100% for the material aspect, 94% for the media aspect. And for the results of the feasibility trial, the learning media got a score of 91% of the results of the trial of 53 students. From the results of the test, it can be concluded that the heyzine flipbook-based learning media in the Lathe Machining Engineering class XI subject at SMK Kemala Bhayangkari 1 Jakarta is "Very Feasible" to be used for Lathe Machining Engineering learning activities. The focus of this study is at the stage of development and feasibility testing of the developed media only, as for the results of this study, there are several recommendations that can be given, including the following, heyzine flipbook-based learning media can be implemented and utilized optimally in the learning process of Lathe Machining Engineering at SMK Kemala Bhayangkari 1 Jakarta and other schools where there are Lathe Machining Engineering subjects. And heyzine flipbook-based learning media in the subject of Lathe Machining Engineering needs to be further researched such as the effectiveness of heyzine flipbook-based learning media in the subject of Lathe Machining Engineering.

This study aims to analyze the effect of integrating the STEM (Science, Technology, Engineering, Mathematics) approach in science education on students' creativity and problem-solving abilities at SMPN 1 Cigombong. The STEM approach was implemented to provide an integrated learning experience, allowing students to connect science concepts with technology, engineering, and mathematics. The research method used is classroom action research (CAR), conducted in two cycles, with observation, tests, and interviews as instruments for data collection. The results showed that the implementation of the STEM approach improved students' creativity and problem-solving skills, as well as facilitated students in applying science concepts in daily life. Furthermore, students also demonstrated an increase in collaboration and communication skills. These findings contribute to the development of more relevant learning methods that meet the demands of 21st-century education in secondary schools.

This study aims to identify the influence of self-regulated learning and academic flow on the academic achievement of students of the Faculty of Engineering, University of Muhammadiyah Gresik. Academic achievement is measured through the Cumulative Grade Point Average (GPA) as an indicator of success. Internal factors such as self-regulation in learning and full involvement in academic activities are considered to play an important role in the achievement of academic achievement. Using a quantitative approach, this study involved 840 active students from various study programs at the Faculty of Engineering. Data was collected through questionnaires that measured aspects of metacognition, motivation, behavior, absorption, enjoyment, and intrinsic motivation. The results of the analysis show that self-regulated learning and academic flow contribute significantly to student academic achievement, with academic flow having a greater influence.  

This study investigates the impact of virtual reality (VR) tools in enhancing student engagement and learning outcomes in STEM (Science, Technology, Engineering, and Mathematics) education. By analyzing experimental data from VR-based STEM lessons across multiple schools, the research highlights how immersive experiences can help students understand complex concepts, increase motivation, and improve retention. The findings emphasize the potential of VR to transform traditional STEM education by providing interactive and engaging learning environments.

The rapid advancement of modern computing has driven extensive research on numerical algorithms for solving large-scale systems of linear equations. Classical methods such as LU decomposition, Jacobi, and Gauss–Seidel have been revisited and optimized to leverage parallel architectures, GPUs, and even quantum platforms. Recent studies demonstrate that optimized algorithms can reduce computation time by more than 50% while maintaining high accuracy in solving high-dimensional problems. LU decomposition, particularly in its parallel and GPU-based implementations, has shown superior performance in batch processing and industrial-scale simulations. Meanwhile, iterative methods such as Jacobi and Gauss–Seidel remain relevant due to their flexibility in numerical modeling, with further developments for block matrix systems, finite element applications, and FPGA architectures. The integration of these enhanced algorithms is not only beneficial for the advancement of scientific software development but also supports practical applications in engineering simulations, large-scale data optimization, and machine learning. Therefore, an integrative review of modern numerical algorithm developments is crucial in bridging the gap between industrial demands and research progress in scientific computing.

Customer churn prediction models have become an important tool in the telecommunications industry to reduce churn rates and improve customer retention. This research focuses on building an accurate customer churn prediction model using machine learning algorithms for TELCO Company. By applying diverse feature engineering techniques and prediction models such as RandomForestClassifier, DecisionTreeClassifier, and XGBoost, this study showcases a significant improvement in prediction accuracy compared to previously implemented rule-based methods. The findings of this research allow TELCO Company to identify high-risk customers more effectively and implement targeted retention strategies. Results show that the resulting model can identify customers at risk of churn more effectively, enabling more targeted retention actions..

This study aims to analyze the effectiveness of STEM (Science, Technology, Engineering, and Mathematics)-based learning models in improving students' understanding of thermodynamic concepts. The research method used is a quasi-experimental with a pretest-posttest design. The subjects of the study were high school students who were divided into experimental and control classes. The results showed that the STEM approach can significantly improve students' conceptual understanding and problem-solving skills compared to conventional learning models. The implication of this study is the need for integration of the STEM approach in physics learning in order to improve the quality of education in the modern era.

Speaking skills are more prioritized considering the function of English, namely for communication. This encourages the development of trends in English learning to include speaking in the sub-achievements of course learning in larger portions. in order to improve students' speaking skills, drill and practice method is needed to be applied as a variation of learning methods in the classroom. This research is aimed at determining what to extent drill and practice method can  improve students' speaking skills. Subjects of the research were 36 students of Diploma III Computer Engineering Study Program. Data were collected using pre-tests and post-tests, observation and documentation. Data were analyzed quantitatively using test and qualitatively described. The findings showed that in the first cycle, 83.33% of students' speaking scores were above the KKM, then in the second cycle it increased to 97.22%. This also applies to the average student score which increased from 67.38 in cycle 1 to 73.72 in the second cycle.In conclusion, drill and practice method can enhance students’ speaking skill.

The aim of this research is to produce learning media mobile interactive on the Basics of Electronics Engineering subject which is valid and practical for class X students at SMK Negeri 2 Solok. The method used in this research is method Research and Development (R&D) with a 4D development model consisting of 4 stages, namely Define (Definition), Design (Planning), Develop (Development), and Disseminate (Dissemination). This research uses an instrument in the form of a questionnaire. This questionnaire will be filled out by material experts and media experts in the validity test and filled in by students in the practicality test. Based on data acquisition and processing, this research obtained the following results. First, the results of material validation by material experts are in the "Valid" category with a total validity value by the three material validators of 0.967 and the results of media validation by media experts are in the "Valid" category with a total validity value by the three media validators of 0.967. Second, at the practicality test stage by students involving 15 students obtained a practicality percentage of 95.67% which was categorized as "Very Practical". Based on the results of this research, it can be concluded that interactive mobile learning media using Smart App Creator is suitable for use as interactive learning media in learning because it has been proven to be valid and practical.

Computer network training at SMKN 5 Surabaya is an activity that aims to provide students with knowledge and skills in the field of computer networks. This training is usually given to students majoring in Computer and Network Engineering (TKJ). The material taught in computer network training at SMKN 5 Surabaya includes: Introduction to computer networks, network topology, network addressing, implementation of the training using a blended learning approach, which combines theoretical and practical learning. This method has proven effective in improving students' conceptual understanding and technical skills. (Garrison and Vaughan, 2008) state that this approach is able to answer challenges in vocational education by combining the advantages of face-to-face and online learning. In addition, collaboration with industry through internship programs provides students with valuable practical experience, which strengthens their readiness to enter the world of work. (Anderson and Solis 2018) reveal that industry involvement can increase the relevance and quality of vocational education. However, this research also identifies several challenges that need to be overcome to ensure sustainability and improve the quality of training. One of the main challenges is limited resources, especially in terms of equipment and software which are always evolving. Continued investment and professional training for teachers is key to overcoming this challenge. (Smith and Ragan 2005) emphasize the importance of professional development for teachers in maintaining educational quality. With continued commitment from all parties, computer network training at SMKN 5 Surabaya is expected to continue to provide significant benefits for students and industry.

This research investigates ship maintenance management practices among senior students in shipping engineering during their internships at a vocational school in Jakarta. The study explores the challenges faced, strategies employed, and lessons learned in managing maintenance tasks onboard ships. Seven participants were interviewed, highlighting technical malfunctions, resource limitations, time constraints, environmental factors, and communication barriers as primary challenges. Participants utilized preventive maintenance, cross-training, task prioritization, collaborative problem-solving, and digital tools to enhance operational efficiency. Lessons underscored the importance of preparation, teamwork, adaptability, continuous learning, and communication skills in navigating maritime maintenance complexities. The findings emphasize the role of proactive maintenance strategies and technological integration in optimizing sustainability and operational reliability within the maritime industry. Integrating practical training into educational curricula and embracing digital innovations are recommended for preparing future professionals. Future research could explore larger sample sizes and quantitative methodologies to validate findings and quantify the impact of maintenance practices. This study contributes to enhancing vocational education in maritime sciences and informs industry practices for advancing ship maintenance management globally.

Training "Dynamic Routing and Virtual LAN Simulation for Networks Using Cisco Packet Tracer" at PT. The Pangranggo Data Bridge (JDP) East Lombok aims to increase the knowledge and skills of apprentice students in the field of computer networks. In this training, participants from the Computer and Network Engineering department were introduced to the basics of networking, dynamic routing, and VLANs using Cisco Packet Tracer as a simulation tool. Through a learning method that includes preparation, implementation and evaluation for seven days, this training succeeded in strengthening theoretical understanding and increasing participants' practical abilities in network configuration. Evaluation results show significant improvements in mastery of dynamic routing and VLAN concepts, preparing participants for challenges in the world of work with relevant practical skills. This training also contributes to the development of a more efficient and integrated network infrastructure

In a research context, a research title is usually translated into English to provide appropriate understanding for all readers. However, grammar mistakes in translating it often occur. This research focuses on the grammar mistakes found in research titles (English version) of Engineering students at one of the universities in West Java. This research focuses on 105 Engineering students’ research titles data and answers questions of what are the grammar mistakes found, and what are the students’ perceptions regarding the process of translating their titles. By analyzing the titles data, this research found that, out of 105 titles, there are 93 titles with grammar mistakes. These consist of excessive use of definite articles in 69 titles, improper use of prepositions in 22 titles, and improper phrases in 33 titles. Then, the Engineering students’ perceptions about their titles’ translating process were gained from interviews to 5 of them. They were worried about translating it themselves due to their limited understanding of English which made them rely more on translation machines such as Google Translate and ChatGPT without the process of reviewing the translation results’ meaning. The process of reviewing and increasing motivation that builds enthusiasm for learning grammar are needed.

In a research context, a research title is usually translated into English to provide appropriate understanding for all readers. However, grammar mistakes in translating it often occur. This research focuses on the grammar mistakes found in research titles (English version) of Engineering students at one of the universities in West Java. This research focuses on 105 Engineering students’ research titles data and answers questions of what are the grammar mistakes found, and what are the students’ perceptions regarding the process of translating their titles. By analyzing the titles data, this research found that, out of 105 titles, there are 93 titles with grammar mistakes. These consist of excessive use of definite articles in 69 titles, improper use of prepositions in 22 titles, and improper phrases in 33 titles. Then, the Engineering students’ perceptions about their titles’ translating process were gained from interviews to 5 of them. They were worried about translating it themselves due to their limited understanding of English which made them rely more on translation machines such as Google Translate and ChatGPT without the process of reviewing the translation results’ meaning. The process of reviewing and increasing motivation that builds enthusiasm for learning grammar are needed.

This research aims to analyze the influence of AI Chat GPT in completing practicum reports by students of the Informatics Engineering Study Program at Muhammadiyah University of Ponorogo. The background to this research is based on the increasingly rapid development of AI technology, offering various conveniences in various fields, including education. The aim of the research is to analyze the extent to which Chat GPT influences students' ability to prepare practical reports effectively and efficiently. The research method used is a quantitative method by collecting data through a questionnaire using a Google form which was distributed to active students of the Informatics Engineering study program at Muhammadiyah University of Ponorogo. The results of this research show that Chat GPT significantly increases students' understanding of practical material, helps students solve problems encountered in preparing reports, and reduces the time needed to complete reports. The implication of this research is the importance of integrating AI technology in the learning process to increase student academic effectiveness and efficiency. However, appropriate policies are needed to avoid excessive dependence on this technology.  

This research examines students' ability to understand mathematical concepts and the impact of implementing the Makerspace STEAM learning approach model on their learning activities. Makerspace STEAM integrates science, technology, engineering, art, and mathematics concepts in a practical, project-based learning context. This study uses a quantitative approach to evaluate students' increased understanding of mathematical concepts after engaging in Makerspace STEAM learning activities. It is hoped that the results of this research will provide better insight into the effectiveness of this learning model in improving student academic achievement in mathematics subjects.

This research explores the application of the Problem-Based Learning (PBL) model to improve the quality of digital image processing learning in the Informatics Engineering Study Program. Through in-depth interviews, observations, and document analysis, this research shows that PBL has a positive impact on students' conceptual understanding, technical skills, and involvement in the learning process. Nevertheless, challenges such as planning relevant learning problems and evaluating the learning process were also identified. Support and training are needed for lecturers to overcome these challenges. These findings provide valuable insights for the development of problem-based teaching practices in the context of digital image processing.