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Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a reinforcement learning based production scheduling approach to improve production efficiency while reducing energy consumption in multi-machine manufacturing systems. Methods: This research employs a job-shop based multi-machine production simulation model as the experimental environment. The scheduling problem is formulated as a Markov Decision Process, enabling the implementation of reinforcement learning algorithms, namely Q-learning and Deep Q-Network, to learn optimal scheduling policies through interaction with the simulation environment. Energy consumption parameters are incorporated into the reward function so that the learning agent can consider energy efficiency in the scheduling decision-making process. System performance is evaluated using three main metrics, namely energy consumption, throughput, and makespan. Results: The experimental results show that the reinforcement learning based scheduling approach achieves better performance compared to conventional scheduling methods, resulting in lower energy consumption, higher job completion rates, and shorter production completion times within the multi-machine manufacturing system.

The main objective of the Citizenship Education (PKn) course in higher education is to develop students into individuals with nationalist, participatory, and critical characters towards national dynamics. Conventional learning approaches that are still dominant in higher education, such as one-way lectures and memorization of materials, are considered less able to encourage active participation and the development of critical thinking patterns of students in the Citizenship Education (PKn) course. This study aims to identify the effectiveness of the application of innovative learning methods in improving students' activeness and critical thinking skills. Using a descriptive qualitative approach, data were collected through classroom observations, interviews with lecturers and students, and analysis of lecture documents from three study programs at Merdeka University of Malang. The results of the study showed that the application of learning strategies such as Project Based Learning, role playing, utilization of interactive multimedia, collaborative discussions, and nationality-based simulations were able to significantly increase students' participation and critical understanding. This method is relevant to the needs of learning in the era of globalization that demands digital literacy, cross-disciplinary collaboration, and contextual problem solving. Based on these findings, this study recommends the integration of innovative methods into the Civics curriculum in higher education, pedagogical training for lecturers, and the provision of technological infrastructure that supports the implementation of competency-based learning in the era of globalization.

This study discusses the relevance and role of hybrid learning strategies as a conceptual solution to the crisis of effectiveness in traditional fiqh learning in Islamic boarding schools in the digital age. The background of this study stems from the problem of declining efficiency and interactivity of classical learning methods such as sorogan and bandongan amid technological developments that demand pedagogical innovation. This study aims to analyze theoretically how the integration of traditional pesantren values and modern learning approaches can be applied without eliminating spiritual identity and scientific sanad. The method used is library research with a descriptive-analytical approach through a review of the latest scientific literature on Islamic education and hybrid learning. The results show that a hybrid learning model based on synchronous and asynchronous approaches can increase flexibility, effectiveness, and student participation in the learning process, while maintaining personal relationships with teachers. The theoretical implications enrich the concept of integrating Islamic education and technology, while the practical implications offer an adaptive curriculum model for Islamic boarding schools to respond to the challenges of the digital age without abandoning Islamic values.

In the era of the Industrial Revolution 4.0, Islamic Religious Education (PAI) must emphasize not only memorizing religious content, but also fostering advanced thinking skills such as analysis, evaluation, and creativity through the Higher Order Thinking Skills (HOTS) method. This study aims to describe the implementation of HOTS-oriented Islamic Religious Education (PAI) learning at SMAN 2 Banjit, focusing on implementation methods, supporting and inhibiting factors, and their influence on students. This study uses a qualitative descriptive methodology with data collection methods such as observation, interviews, and documentation. The subjects of the study were Islamic Religious Education (PAI) teachers. Data analysis was carried out by means of data reduction, data presentation, and drawing conclusions. The results of the study indicate that Islamic Religious Education (PAI) teachers at SMAN 2 Banjit have implemented host-based Islamic Religious Education (PAI) teaching methods. HOTS-based learning through discussion methods, advanced question and answer, and problem-based learning, but the implementation has not been evenly distributed across classes. Teachers understand the basic concepts of HOTS, but still face obstacles in preparing HOTS-based learning devices and assessment instruments. Supporting factors for implementation are the support of the principal, technological facilities, and the enthusiasm of some students. Meanwhile, emerging obstacles include a rote-oriented learning culture, unequal distribution of learning facilities, and teacher administrative burdens. The implementation of HOTS has a positive impact on improving students' critical thinking skills and argumentative skills, as well as helping them understand Islamic values ​​more contextually.

The use of artificial intelligence technology in elementary education is becoming increasingly relevant as teachers demand to develop creative and efficient teaching materials. Problems faced by fifth-grade elementary school teachers include limited time, a variety of ideas, and reliance on conventional methods in developing teaching materials, resulting in suboptimal learning creativity. This study aims to describe the use of ChatGPT by fifth-grade elementary school teachers in developing creative teaching materials and to identify the benefits and constraints of its use in the learning process. The research method used is a descriptive qualitative approach with data collection techniques through literature studies and online questionnaires based on Google Forms. The research respondents were fifth-grade elementary school teachers who were familiar with and used ChatGPT in lesson planning. The data obtained were analyzed using qualitative descriptive analysis techniques through the stages of data reduction, data presentation, and drawing conclusions. The results of the study are expected to provide a comprehensive picture of the role of ChatGPT as a digital assistant for teachers in increasing the efficiency and creativity of teaching material development in elementary schools.

This study aims to design and develop an electrical installation panel by applying engineering safety principles in the water spray booth of a vehicle body painting system. Field observations indicate that electrical panels in painting rooms often do not meet safety standards, which can lead to short circuits and potential fire hazards. The research employed a Research and Development (R&D) method using a simplified Borg and Gall model consisting of nine stages, starting from problem identification to effectiveness testing. Expert validation results obtained a score of 87.5% (highly valid), practicality testing yielded 90% (very practical), and effectiveness tests showed an average current of 4.1 A, with both the MCB and emergency stop functioning optimally. The developed panel product is declared feasible to be used as a practical learning media for automotive electrical systems. Based on the test results, the panel product was declared suitable for use and can be used as a learning medium in automotive electrical practice, helping to increase understanding of the application of safety in electrical installations in the automotive industry.  

This research uses a qualitative approach with a library research method, focusing on the development of pragmatic thinking in Western and Islamic traditions and its contribution to contemporary education. Data were obtained through literature reviews from books, scientific journals, and previous research results. Data analysis was conducted using content analysis techniques to identify similarities and differences in Western and Islamic pragmatic thinking. The results of the study indicate that Western pragmatism developed through Peirce, James, and Dewey, who emphasized truth based on practical consequences and usefulness in life. Islamic pragmatism, although not explicit, is reflected in the thoughts of Al-Ghazali and Ibn Khaldun, who combine revelation with empirical experience and public welfare. The contribution of pragmatism to contemporary education includes: (1) educational goals oriented towards social experiences and problem-solving; (2) the position of students as active subjects with growth capacity; (3) curriculum development that is flexible, experience-based, and adaptive to social changes. this research states that Western and Islamic pragmatism both provide important contributions to contemporary education, shifting the focus from knowledge transfer to the development of competencies and characters that are relevant.  

This study aims to determine the effect of interactive learning media based on Math Playground on student learning outcomes on fraction materials in class IV SDN Kedung Dalem III. The problem studied is whether there is a significant influence between the use of interactive learning media based on Math Playground on student learning outcomes in grade IV SDN Kedung Dalem III. This study uses a quantitative method with a one group pretest-posttest design. The sample of this study were fourth grade students of SDN Kedung Dalem III, totaling 17 students. The research instrument used is a test (Pretest-Postest) of student learning outcomes on fraction material, which consists of 10 multiple choice questions. The results of the analysis using the wilcoxon test show that the sig value (2 tailed) is 0.000 which indicates significance <0.05 so that H0 is rejected and H1 is accepted. This shows that the interactive learning media Math Playground has a significant effect on improving student learning outcomes. The conclusion of this study is that Math Playground interactive learning media can improve student learning outcomes on fraction material. Therefore, teachers and educators can use Math Playground as an alternative learning media to improve student learning outcomes.

Constructivism learning theory places learners as active subjects in constructing knowledge through learning experiences, social interactions, and reflection on their surroundings. This approach views learning not as a passive process of receiving information, but as an active process of constructing meaning based on the prior knowledge possessed by learners. This paper aims to comprehensively examine the development and definition of constructivist learning theory, its main principles and characteristics, and its implications in the learning process, particularly in the context of primary education. The writing method used is a literature study by analyzing various literature sources in the form of textbooks, scientific journal articles, and other relevant references related to constructivism theory. The results of the study show that constructivist learning emphasizes learner-centered learning, where knowledge is not transferred directly by the teacher but is constructed through a process of assimilation and accommodation. In this approach, teachers act as facilitators who design a conducive learning environment so that students are able to build understanding independently and through social interaction. The application of constructivist learning has been proven to encourage the development of critical thinking, problem solving, cooperation, and meaningful learning. Therefore, constructivist learning theory is relevant to be applied in modern learning as an effort to improve the quality of the learning process and outcomes of students.

This study aims to analyze the implementation of video animation-based flipped classroom learning model in increasing students' learning interest in science subjects with material on the structure and function of living organisms in class 8D at SMPN 1 Sanrobone. The low interest in learning science among students is a major problem that needs to be addressed through more attractive and interactive learning innovations. The video animation-based flipped classroom model was chosen because it can optimize classroom learning time for more meaningful activities, while basic concept understanding is done independently through engaging animated videos. This study uses a survey method with a descriptive quantitative approach. The research subjects were  students of class 8D SMPN 1 Sanrobone in the even semester of the 2024/2025 academic year. Research instruments used learning interest questionnaires, observations, and documentation. The results showed that the implementation of video animation-based flipped classroom model was able to increase students' learning interest with high categories in aspects of attention, interest, involvement, and learning satisfaction. Animated videos presented before face-to-face learning provide clear visualizations of the structure and function of living organisms, making students more prepared and enthusiastic to participate in discussions and practical activities in class. This learning model also encourages student learning independence and increases active interaction in learning. This study recommends the implementation of video animation-based flipped classroom as an alternative effective and innovative science learning strategy to increase students' learning interest.

This community service activity aims to strengthen the role of higher education institutions in preserving local culture through the revitalization of cultural arts learning based on local wisdom, particularly traditional Nias carving art. The main problems faced by the partners include the limited availability of contextual cultural arts learning, minimal integration of traditional art practices into university courses, and students’ low understanding of the philosophical values embedded in Nias carving motifs. The implementation method employs a participatory–educational approach consisting of preparation, socialization, theoretical and practical training, intensive mentoring, and evaluation stages. This activity involves students and lecturers as participants as well as agents of cultural preservation. The results indicate a significant improvement in participants’ knowledge of the symbolic meanings of Nias carving motifs, their basic skills in designing and drawing carving motifs, and their appreciative attitudes toward the preservation of local cultural arts. This activity contributes to the strengthening of cultural arts learning in higher education and has the potential to serve as a sustainable model of community service based on local culture.

This study aims to explain the application of various differentiated learning techniques based on Problem-Based Learning (PBL) to improve analytical and writing skills related to procedural texts among junior high school students. This research is based on students' lack of ability to understand and compose procedural texts methodically and in accordance with language conventions, which is caused by the prevalence of conventional teacher-centered learning. This study used a descriptive qualitative methodology involving seventh-grade students from a junior high school that has adopted the PBL model in Indonesian language subjects. Data were collected through observation, interviews, and documentation, then analyzed qualitatively. The results showed that the application of PBL along with differentiated learning and TPACK increased student engagement, accommodated diverse learning styles, and fostered critical thinking, analytical abilities, and collaborative skills. Learning became more meaningful and relevant, enabling students to compose procedural texts more effectively. This study recommends the application of the PBL model with differentiation as an innovative strategy to improve the quality of Indonesian language education in junior high schools.

The rapid development of information technology encourages the use of digital media as an educational tool in the health sector, particularly for pregnant women. One of the problems faced by Klinik Bidan Rima Pondok Meja is the limited use of conventional educational media, such as books and posters, which are considered less attractive and difficult to understand. This study aims to design and develop an Android-based Augmented Reality (AR) application as an educational medium for nutrition and fetal development for pregnant women. The application presents three-dimensional (3D) visualizations of fetal development from week to week, along with information on nutritional needs during pregnancy. The system development method used in this research is the Prototype model, while the Augmented Reality technology applies marker-based tracking. The development tools used include Unity, and Blender 3D. The result of this study is an Android-based AR application prototype that provides interactive and easily understandable information about fetal development and maternal nutrition. This application is expected to increase learning interest and understanding of pregnant women in maintaining a healthy pregnancy at Klinik Bidan Rima Pondok Meja.

The rapid development of technology in today's era requires every profession to align with existing developments. The teaching profession is no exception. Teachers must be able to utilize technology in the learning process to create an engaging learning environment for students. To support this capability, training is essential. This community service activity aims to provide training to teachers at Bancong  Elementary School in Wonoasri District, Madiun Regency, to familiarize themselves with and be able to use the GeoGebra application. This training also aims to improve teachers' competency in utilizing digital technology as a learning medium. The GeoGebra application is an effective application for solving mathematics problems in elementary schools, particularly in geometry, particularly plane figures. The implementation method for this activity includes preparation, training, and mentoring. The training was provided in the form of workshops and hands-on practice using GeoGebra-based mathematics learning media. The activity proceeded orderly and smoothly, and the training participants understood the material well, both theoretically and in practice.

This study examines the role of mathematics learning in improving logical thinking skills in early childhood. The background of this study is based on the importance of logical thinking skills as a foundation for children's cognitive development, which can begin at an early age through appropriate mathematics learning. The purpose of this study is to analyze how mathematics learning can stimulate the development of logical thinking in early childhood and explore effective learning strategies. The methods used are library research and observation of several models of mathematics learning for early childhood in early childhood education institutions. The findings indicate that fun and concrete activity-based mathematics learning can improve children's abilities in critical thinking, constructing patterns, drawing conclusions, and solving simple problems. The implications of this study emphasize the need for the application of creative and interactive mathematics learning methods to support the development of logical thinking from an early age, while also encouraging educators to integrate mathematics into children's daily activities. This study also recommends the development of learning media appropriate to children's developmental stages for optimal results.

This study discusses the introduction of digital signature patterns using the Backpropagation method on Artificial Neural Network (JST) to identify a person's characteristics and potential. The increasing use of digital identities demands a verification system that is more secure, accurate, and adaptive to the variations of each individual's signature. The main problem faced in the signature recognition system is the low level of accuracy when the visual features of the signature have similarities between users, both in terms of shape, size, and stroke pressure. In addition, variations of signatures made by the same individual are also a challenge in the identification process. As a solution, this study implements Principal Component Analysis (PCA) to extract important features from the signature image before the training process using JST. PCA is used to reduce the data dimension so that the learning process becomes more efficient and optimal. A total of 80 signature images were used in this study, consisting of 60 training data and 20 test data. The results showed that the system was able to achieve an accuracy level of 92.5%. These findings prove that the combination of PCA and JST methods is effective in recognizing digital signature patterns and has the potential to be applied to digital security-based biometric identification systems.

General education at Islamic Religious Higher Education Institutions (PTKI) plays an important role in developing students’ critical thinking skills so they can analyze religious and social issues reflectively and contextually. However, learning practices in PTKI are still dominated by teacher-centered approaches and low cognitive achievement, which limits the development of analytical, evaluative, and problem-solving abilities. Meanwhile, studies show that integrating digital media, particularly video, can improve conceptual understanding, motivation, and cognitive engagement, yet a digital video-based meaningful learning model specifically designed for the PTKI context remains limited. Therefore, this study aims to formulate a Digital Video-Based Meaningful Learning Model (MPBBVD) to enhance students’ critical thinking skills. This research employed a literature review method by analyzing books, scientific articles, research reports, and digital sources related to meaningful learning, constructivism, multimedia learning, digital video use, and critical thinking development. Data were analyzed descriptively and qualitatively to identify the theoretical foundations, learning syntax, and design principles of the model. The findings indicate that MPBBVD integrates Ausubel’s Meaningful Learning theory, constructivist perspectives from Piaget, Vygotsky, and Bruner, Mayer’s Multimedia Learning theory, and the critical thinking framework of Facione and Ennis. The model uses digital video as the main learning medium and applies the ACTIVE stages (Attend, Connect, Think, Interpret, Verify, Evaluate) to promote contextual and interactive learning. Integrating pre-, during-, and post-video activities supports knowledge construction, reduces cognitive load, and increases student engagement, contributing theoretically and practically to improving critical thinking in PTKI in the Industrial Revolution 4.0 era.

This research examines the implementation of the Deep Learning approach in Islamic Religious Education (PAI) learning at SMAN 61 Jakarta and its contribution to the development of students' critical thinking skills. This study was conducted due to the need for a learning model that encourages students to understand religious concepts through active, reflective, and meaningful learning experiences. The purpose of this research is to describe the implementation of Deep Learning in PAI learning and its influence on the development of students' critical thinking skills. This study employs a qualitative method with a descriptive research design, using interviews, classroom observations, and documentation as data collection techniques. The findings indicate that the Deep Learning approach supports students in participating more actively in discussions, analyzing religious issues related to real-life situations, and constructing arguments based on their own understanding. Students also demonstrate improvement in evaluating information, considering diverse perspectives, and providing more reflective responses to classroom problems. The study further identifies several challenges, including limited digital facilities, varying levels of student participation, and teachers’ readiness in managing diverse learning strategies and media. These findings suggest that Deep Learning has strong potential to enhance students’ critical thinking skills when applied systematically and designed to foster active participation and meaningful exploration during the learning process.

Introduction: Stunting remains a major public health problem in Indonesia, including in Blang Teue Village, North Aceh, where the prevalence of children at risk of stunting reaches 28% (Public Health Center, 2023). The main contributing factors are mothers’ limited knowledge of locally sourced complementary feeding (MP-ASI) and restricted access to nutrition education media. This community service program aimed to empower the community by developing QR Code-based interactive educational posters as an accessible and user-friendly nutrition learning tool. Methods : The method employed was Community-Based Participatory Research (CBPR) with a Participatory Action Research (PAR) approach, involving 30 respondents (mothers of toddlers), health cadres, village officials, lecturers, and students. Results : The results indicated a significant improvement in mothers’ knowledge regarding local MP-ASI, where the percentage of respondents with high knowledge increased from 20% to 67% after the intervention. Utilization of QR Code media was also high, with 60% of respondents accessing it intensively, and a positive relationship was found between the intensity of media utilization and knowledge level (83% of high-intensity users achieved high knowledge). Conclusion : This program not only enhanced community knowledge and skills but also fostered the emergence of local leaders from health cadres and PKK members, as well as promoted social transformation through strengthened digital literacy and the use of local food in stunting prevention.

In recent years, with the rapid development of artificial intelligence, many innovative changes have been made in the field of intelligent mobile robot development. In the field of control and navigation of mobile robots, learning-based methods have many advantages over traditional ones. The study of mobile robot control methods using deep reinforcement learning is a remarkable area in the development of mobile robots that must operate in dynamic environments. In the previous studies, the proposed robot control algorithms using deep reinforcement learning are mostly based on the given target point and obstacle information, the robot path planning is performed, and the corresponding control is based on the obtained path. The DDPG-based method is a typical example. However, in dynamic environments, DRL based robot path planning requires a state of target point and obstacles information, which leads to a large amount of computation, resulting in extremely long convergence time and even non-convergent cases. In this paper, we propose a new method for mobile robot control in dynamic environment that solves the dimensional problem by extracting the features of the configuration of obstacles using autoencoder and learning the DDPG algorithm based on the obtained features. Simulation results show that the proposed algorithm can effectively solve the mobile robot control problem in dynamic environment.