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This study aims to determine the effect of Virtual Reality Box (VR BOX) as a learning medium on students' motivation, interest, and learning discipline in welding practice for grade XI students of the Machining Engineering Department at SMK Negeri 1 Tanjung Raya. The research method used is quantitative with a quasi-experimental design applying the non-equivalent control group design approach. Data were collected through tests and observation and analyzed using validity tests, reliability, normality, homogeneity, t-tests, ANOVA, and coefficient of determination. The results showed that the use of VR BOX significantly influenced students' motivation, interest, and learning discipline. The implementation of VR media created interactive learning, increased student engagement, and reduced fear in welding practice. It can be concluded that VR BOX is an effective instructional medium to improve the quality of vocational practice learning in vocational schools.

This study is a literature review aimed at examining the effectiveness of the guided inquiry model based on STEM in enhancing students’ critical thinking skills. The guided inquiry model provides a structured framework for students to explore problems under teacher guidance, while the STEM (Science, Technology, Engineering, and Mathematics) approach promotes interdisciplinary, contextual, and practical learning. Through an analysis of various relevant articles and scholarly journals, the findings indicate that the implementation of the guided inquiry model integrated with STEM consistently improves students' critical thinking abilities, particularly in areas such as analysis, evaluation, and reasoning. The study also highlights the crucial role of teachers as active facilitators in the learning process and the need for adequate resources to effectively apply this approach. The results of this review are expected to serve as a reference for educators and researchers in developing innovative and 21st-century-oriented learning strategies.

This study aims to develop an interactive learning media based on android using a valid and practical smart app creator to improve students' understanding of the SPBI course in the Industrial Automation Engineering Department of SMK Negeri 1 Pariaman. This study uses the Research and Development (R&D) method with the ADDIE model as a guideline in the development process. The results of this study provide evidence that the interactive learning media created falls into the "Valid" category. This is proven based on validation carried out by material experts with a validity value of 87% (0.870) and validation carried out by media experts with a validity value of 92.11% (0.921). Furthermore, a Media Practicality Test was carried out by class XI students of SMK Negeri 1 Pariaman with a practicality value of 91.60% (0.961) falling into the Very Practical category.

Computational thinking skills are one of the important competencies in the world of education in the 21st century, especially in the fields of science, technology, engineering, and mathematics (STEM). GNU Octave as an open source software similar to MATLAB offers a numeric programming environment that can be used to train and develop students' computational thinking skills. Researchers use a literature study method that aims to see the extent to which GNU Octave can be used in learning to improve students' computational thinking skills. The literature sources used come from national and international journal articles, conference proceedings, and other trusted sources over the past 10 years. The results of the review show that GNU Octave is effective as a learning tool for numeric programming, problem solving, and mathematical modeling, and has a positive contribution to honing students' algorithmic and analytical thinking skills.

This study aims to reveal how symbolic interaction between principals and teachers is interpreted as a social strategy in improving the employability of vocational high school students, especially in the Mechanical Engineering Expertise Competence. Using a qualitative case study approach, the research population was conducted at the Center of Excellence Vocational High Schools in Pasuruan Regency/City, while the sample was 4 vocational high schools that have mechanical engineering expertise competencies. Data collection techniques include in-depth interviews, participatory observation, and documentation studies. The results of the study indicate that the symbolic interaction that occurs is not only verbal communication, but also reflects shared values, expectations, and visions in preparing graduates who are adaptive to the world of work. The principal builds meaning through symbols of consistent leadership actions, such as involving teachers in strategic decision-making and instilling an industrial work culture. Teachers, on the other hand, respond to these symbols with more contextual and work-oriented learning practices. This interaction forms a productive school habitus that is the basis for improving student employability

Understanding electric motors and transformers is crucial in the field of electrical power engineering education. To enhance practical learning, a trainer was designed for single-phase AC motors, incorporating an Earth Leakage Circuit Breaker (ELCB) safety system to prevent electric current leakage, which could pose a risk during experiments. The aim of this research is to design and develop a trainer module that serves as both an interactive and safe learning tool for laboratory practicums. The trainer is equipped with a safety circuit, along with controllers such as a voltmeter, ammeter, selector switch, pushbutton, relay, and potentiometer, allowing students to understand and control various electrical parameters. The tool underwent voltage measurements and functional tests at three distinct measurement points to evaluate its performance and safety features. The results demonstrated that the trainer performed effectively, significantly enhancing students' practical understanding of electric power systems and contributing to better hands-on learning experiences in electrical engineering.

In geotechnical engineering, building robust structures is crucial to ensure the bearing capacity of structures against external forces, so making sure soil strength and unreliable build cost and duration prediction are also very important and preliminary aspects of any construction project. Therefore, in this first-of-its-kind modern examine, the capability of various artificially intelligent (AI)-based models toward reliable forecasting and estimation of preliminary construction expenses, duration, and strength at shear is explored. First, background information about the revolutionary artificial intelligence (AI) technique along with its many distinct models ideal for geotechnical and building engineering problems is presented, The use of AI-based models in the literature for the aforementioned construction and maintenance applications is discussed in a number of current works, together with their benefits, drawbacks, and future directions. Several important input elements that significantly affect the preliminary price of construction, construction time, and soil's shear strength estimation are listed and given through analysis. Finally, some obstacles to employing AI-based models for precise forecasts in these applications are discussed, along with elements influencing the problems with cost overruns. Thus, this work can help civil engineers make effective use of artificial intelligence (AI) to solve difficult and risky tasks. It can also be used to Internet of Things (IoT) environments for self-learning applications like smart architectural health-monitoring systems

Given the increasing prevalence of mental health challenges in digital work settings, especially among IT remote workers, early detection mechanisms have become critically important. This study aims to improve the prediction accuracy of mental health conditions among IT remote workers by integrating feature engineering techniques within machine learning models. Five algorithms consisting of Random Forest, Logistic Regression, K-Nearest Neighbors, Decision Tree, and Naive Bayes were evaluated. The Random Forest model achieved the best performance, with 83% accuracy, 83% precision, 100% recall, and a 90% F1-score, followed closely by Logistic Regression with 82% accuracy. Nevertheless, the results demonstrate the feasibility of applying machine learning to support the early detection of mental health risks, offering a strong foundation for future research in predictive analytics and the development of intelligent support systems within digital work environments.

Social and emotional learning (SEL) is an engaging and enjoyable method within the teaching and learning process. This approach is based on the understanding that academic success alone is insufficient to support students’ holistic development. One of the factors contributing to low learning motivation among students is the lack of implementation of social-emotional learning strategies in the classroom. This study aims to examine how the application of social-emotional learning in Catholic Religious Education influences student learning motivation. The research employed a quantitative method using a quasi-experimental design. The subjects were Grade 10 students at St. Joseph Catholic Vocational High School (SMK Katolik St. Yosef Nenuk). A total of 15 students from the Automotive Engineering class formed the experimental group, while another 15 students from the Building Construction and Computer Networking classes were assigned to the control group. The sample was selected using purposive sampling. Data were collected through questionnaires and documentation, then analyzed using an independent two-sample t-test to test the hypothesis. The results showed a significant difference in student motivation between those taught with SEL and those taught with conventional methods. This is evidenced by a t-test significance value of 0.000, which is less than 0.05. In other words, the null hypothesis (H0) is rejected, and the alternative hypothesis (Ha) is accepted. These findings reinforce that social-emotional learning is more effective than conventional teaching methods in increasing student motivation, particularly in Catholic Religious Education

Teachers in education play a significant role in the quality of classroom learning. Although teachers are not the only factor influencing educational success, they are an essential component of the overall educational process. This study aims to assist teachers in improving basic literacy and STEAM (Science, Technology, Engineering, Art, and Mathematics) skills in early childhood education at the RA Al-Mahir Foundation. The research seeks to explore the improvement of basic literacy and STEAM in early childhood learning, the stages and implementation of these improvements, and the challenges teachers face in enhancing literacy and STEAM at the foundation. The subjects of this study were classroom teachers and school principals. This research adopts a descriptive qualitative approach, collecting data through observation, interviews, and documentation. The results show that there are two key aspects: first, teacher performance in improving basic literacy and STEAM at the RA Al-Mahir Foundation has been excellent, particularly through the use of methods like reading, singing, and experimental play. Second, the activities aimed at improving literacy and STEAM have been effective and well implemented. The learning process at the RA Al-Mahir Foundation is running smoothly, with teachers successfully increasing children's interest in literacy and STEAM. This includes improved reading interest, focus during reading and experimental activities, politeness in the learning process, and good behavior, all contributing to a positive learning environment.

This research aims (1) to determine the internal and external factors that cause learning difficulties for students majoring in TKRO at SMK N 4 Lhokseumawe, (2) to find out learning strategies that can help class XI students majoring in TKRO at SMK N 4 Lhokseumawe. This research is descriptive qualitative research. Data was obtained through observation, interviews, documentation. The research subjects were class XI students majoring in light vehicle engineering at SMK N 4 Lhokseumawe. Research data was analyzed using data reduction analysis methods, data presentation, and drawing conclusions. Based on the results of interviews with class Factors that cause learning difficulties include the classroom atmosphere, the way the teacher teaches, and students' internal factors such as physiology and psychology. So this research was conducted with the aim of analyzing and finding strategies to overcome students' learning difficulties. The results of the study with an average acquisition of student learning difficulties of 2.648 are included in the High category. With the qualification of learning difficulties for automotive electrical material is "High" at SMK Negeri 4 Lhokseumawe. In order to overcome this problem, teachers need to change their teaching style and encourage interaction with students, while students need to be more focused and conducive during learning. It is hoped that collaboration between teachers and students can help reduce the level of learning difficulty in automotive electrical subjects for class XI students majoring in light vehicle engineering at SMK N 4 Lhokseumawe.

Many students study in Jakarta but seem to learn nothing. In fact, most of them cannot speak good and correct Indonesian, in fact, there are also students who have not mastered Indonesian vocabulary. The phenomenon of learning difficulties occurs because of serious problems in education in Indonesia, one of which is the lack of mastery of Indonesian in universities. This study aims to reveal the existence of sociolinguistics on the attitudes/opinions of ITPLN students in using language in the campus environment. Finding sociolinguistic factors that strengthen and weaken the use of Indonesian in the engineering field. This study uses quantitative methods and correlational descriptive surveys, namely research conducted to obtain information about data, then processed with statistics with the preliminary study stage carried out with a quantitative descriptive approach. The results of this study show the value of the determinant coefficient (R2) = 0.192, which means that around 19.2% of changes in sociolinguistic variables and learning achievement can be explained by student learning achievement. Then based on the results of the t-test, sig0.000 <0.005 was obtained, meaning that the influence was significant. In other words, sociolinguistic variables provide a significant positive contribution to the learning achievement of ITPLN students. The results of the F test obtained F count 14.04 sig0.000<0.005 Ftable shows that Ha is accepted and Ho is rejected, meaning that there is a positive and significant influence. So it can also be concluded that the proposed hypothesis can be accepted.

Many students study in Jakarta but seem to learn nothing. In fact, most of them cannot speak good and correct Indonesian, in fact, there are also students who have not mastered Indonesian vocabulary. The phenomenon of learning difficulties occurs because of serious problems in education in Indonesia, one of which is the lack of mastery of Indonesian in universities. This study aims to reveal the existence of sociolinguistics on the attitudes/opinions of ITPLN students in using language in the campus environment. Finding sociolinguistic factors that strengthen and weaken the use of Indonesian in the engineering field. This study uses quantitative methods and correlational descriptive surveys, namely research conducted to obtain information about data, then processed with statistics with the preliminary study stage carried out with a quantitative descriptive approach. The results of this study show the value of the determinant coefficient (R2) = 0.192, which means that around 19.2% of changes in sociolinguistic variables and learning achievement can be explained by student learning achievement. Then based on the results of the t-test, sig0.000 <0.005 was obtained, meaning that the influence was significant. In other words, sociolinguistic variables provide a significant positive contribution to the learning achievement of ITPLN students. The results of the F test obtained F count 14.04 sig0.000<0.005 Ftable shows that Ha is accepted and Ho is rejected, meaning that there is a positive and significant influence. So it can also be concluded that the proposed hypothesis can be accepted.

Internet Network is one of the fields in informatics and electronics engineering which is now growing rapidly due to the issue of the industrial revolution 4.0 which is increasingly closely related to Cloud computing technology and the Internet of Things. Without resources and knowledge about computer networks, the Internet of things and Cloud computing are quite impossible to design. Computer networks give birth to internet access which is very much needed by every agency and even the entire community in the world. Especially in educational institutions such as Madrasah Aliyah (MA) Raden Fatah, which is located in Kalasan, Yogyakarta when in the era of the Covid-19 pandemic, it faces the challenge of disruption from offline learning to online learning. To answer the demands of the times, MA Raden Fattah is very enthusiastic in developing its institution towards a quality smart school. The network infrastructure available at MA Raden Fattah has not been optimized, so through this service, network design and management are carried out so that the need for access points that help students and teachers can be met. This service has succeeded in increasing the number of access points, optimizing the management of internet network resources at MA Raden Fattah, and improving the quality of teaching and learning services at the institution

In the 21st century, education is required to produce students who are creative, critical, collaborative, and communicative to face the challenges of the times. Therefore, the implementation of the STEAM learning model is one innovative solution to improve the quality of learning and student outcomes, especially in Natural and Social Sciences (IPAS) subjects. This research is Classroom Action Research (CAR) that adopts the Kemmis and McTaggart model with two learning cycles. Each cycle consists of the stages of planning, implementation, observation, and reflection. The purpose of this research is to improve student learning outcomes through the implementation of the STEAM learning model. The results showed an increase in student learning outcomes from cycle I to cycle II. In the cognitive domain, the average student score increased from 76% in cycle I to 88% in cycle II. In the psychomotor domain, there was an increase from 71% in cycle I to 91% in cycle II. Meanwhile, in the affective domain, student activities increased from 78% in cycle I to 92% in cycle II. Based on the results of the study, the implementation of the STEAM learning model can be declared effective in improving student learning outcomes in IPAS subjects for grade III students of Madrasah Ibtidaiyah Al-Munawwarah, Jambi City.

Estimating the effort, time, and cost needed to build a software project is an important task in software engineering. Estimating software prior to development can help to reduce risk and improve the project success rate. Researchers have developed numerous traditional and machine learning models to estimate software effort, but it has always been difficult to estimate effort precisely. This paper presents a predictive model based on artificial neural networks namely ANNs to predict the software effort. The NASA dataset is applied to construct the proposed model. The system was trained using 50 data points, and the remaining 10 were used for testing. It was concluded that the ANN approach could estimate the software effort with high accuracy. A comparative study with other published equations was also performed, and it was found that ANN had less error and produced better results than other existing methods.

Hikayat as a classic work is often not widely understood by vocational school (Vocational High School) students who are related to various aspects such as language, culture and the historical context contained in the saga. Therefore, the researcher wants to solve the problem by researching directly into a class which also carries out teaching assistance activities in accordance with the requirements for completing semester 7. The subject of this research uses classroom action research. The subjects in this research were class X-I Computer Network Engineering (TKJ) students at Bina Jaya Vocational School. This research aims to find out how the use of saga as the level of knowledge of class (Computer Network Engineering), and how after carrying out the Contextual Teaching and Learning (CTL) learning model in analyzing the values contained in the saga text. This research uses a qualitative approach with descriptive methods. The data obtained was carried out through three cycles used in the pre-test-post phase of this research. Cycle I includes planning and implementation (acting), observation (observing), and evaluating (evaluating) learning activities as well as reflection (reflecting).

Abstract. From the perspective of Micro, Small, and Medium Enterprises (MSMEs), fluctuations in raw material prices are highly concerning as they can significantly impact business stability. While MSMEs may tolerate price fluctuations to some extent, from an industrial engineering perspective, such a passive approach contradicts the principles of continuous improvement. This study seeks to predict the price of large red chili peppers using five regression models implemented through Orange Data Mining: Linear Regression, Support Vector Machine, Decision Tree, k-Nearest Neighbors (kNN), and Gradient Boosting. Due to the limited availability of daily data, particularly within a daily timeframe, the study utilized weekly data spanning three years. The results of the Test and Score evaluation shows Gradient Boosting as the best-performing model, achieving a Mean Absolute Percentage Error (MAPE) of 0.7%. However, the MAPE for predictions in January 2025 increased to 15.8%. This error is expected to decrease as more weekly data becomes available to mitigate the inaccuracies inherent in this model. Keywords: prediction, red chilli, regression, supervised learning , orange data mining. Abstrak. Dalam perspektif UMKM, fluktuasi harga bahan baku adalah suatu hal yang paling ditakuti karena berakibat pada ketahanan usaha yang menjadi tidak menentu. Pada suatu kondisi, fluktuasi harga dapat diterima para UMKM, namun dalam perspektif teknik industri, sikap UMKM tersebut tidak sesuai prinsip continuous improvement. Penelitian ini mencoba untuk memprediksi harga cabai merah besar dengan menggunakan 5 model regresi dibantu Orange Data Mining. Yaitu Linear Regression, Support Vector Machine, Tree, kNN, Gradient Boosting. Data yang diperlukan sebagian besar tidak tersedia, khususnya dalam kerangka waktu harian sehingga penelitian ini menggunakan data mingguan selama 3 tahun. Hasil Test and Score menunjukkan model Gradient Boost terpilih menjadi model terbaik dengan tingkat MAPE 0.7% namun MAPE pada tahap Prediction di bulan Januari 2025 menjadi 15.8%. Error tersebut akan berkurang ketika data mingguan sudah cukup banyak untuk menambal kesalahan yang dihasilkan model ini Kata kunci: prediksi, cabai merah, regression, supervised learning , orange data mining.

The book Al Arabiyah Baina Yadaik is a guide book for learning Arabic which includes four skills in Arabic, namely speaking skills, listening skills, reading skills and writing skills. In this book there are many important aspects to improve students' speaking skills. The method used in this research is descriptive qualitative. This method was chosen to be able to describe real phenomena without any engineering involved. The data source in this research is Arabic Language and Culture students at Al Azhar University Indonesia. The problem discussed in this research is measuring the effectiveness of the book Al Arabiyah Baina Yadaik in speaking proficiency. The aim of this research is to see the effectiveness of using the Al Arabiyah Baina Yadaik book in speaking proficiency. The results of this research are related to the components of book content, the role of the teacher, and the role of students in speaking proficiency in the Arabic language learning process.

The book Al Arabiyah Baina Yadaik is a guide book for learning Arabic which includes four skills in Arabic, namely speaking skills, listening skills, reading skills and writing skills. In this book there are many important aspects to improve students' speaking skills. The method used in this research is descriptive qualitative. This method was chosen to be able to describe real phenomena without any engineering involved. The data source in this research is Arabic Language and Culture students at Al Azhar University Indonesia. The problem discussed in this research is measuring the effectiveness of the book Al Arabiyah Baina Yadaik in speaking proficiency. The aim of this research is to see the effectiveness of using the Al Arabiyah Baina Yadaik book in speaking proficiency. The results of this research are related to the components of book content, the role of the teacher, and the role of students in speaking proficiency in the Arabic language learning process.