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This research aims to design syntax in literature learning using the Project Based Learning (PjBL) model at UPT SMP Negeri 17 Medan. This research focuses on the effectiveness of applying PjBL syntax in improving students' literary understanding, critical thinking skills and creativity. This research uses a qualitative descriptive method with data collection techniques through observation, interviews and documentation. Research findings reveal that the application of the PjBL model in literature learning has a positive impact on student engagement and in-depth understanding of literary material. Project-based evaluations also help students develop collaboration and communication skills. Systematic implementation of PjBL syntax provides a clear and effective learning structure, thereby improving the overall quality of learning.

This study aims to analyze the models and strategies of prose teaching, specifically Hikayat, at SMK Negeri 4 Medan. The teaching of prose plays a significant role in enhancing students' literacy, deepening appreciation for literary works, and instilling moral and local cultural values. The method used in this study is descriptive qualitative, which includes observation, interviews, and documentation, with an emphasis on the implementation of teaching strategies by Indonesian language teachers. The results of the study show that the learning process at this vocational school faces various challenges, such as low student interest and limitations in literacy. To address these issues, teachers integrate theory with practice, utilize multimedia-based technology, and implement group discussions to encourage active student participation. Evaluation is conducted through student work presentations, combining literacy assessment and speaking skills. Recommendations from this study include the development of innovative, technology-based approaches and increased student engagement in the learning process to create more effective and meaningful learning experiences.

This research develops a fruit classification system using Convolutional Neural Network (CNN) in the educational application FruityLens, which helps children recognize different types of fruits through image recognition. The application can identify four types of fruits: apple, banana, orange, and watermelon, utilizing an image dataset from open sources. The research methods include dataset collection, image pre-processing, CNN model training, and classification accuracy evaluation. The results indicate that the developed CNN model achieves high accuracy, supporting children's learning about fruits. This implementation is expected to contribute to the advancement of artificial intelligence technology, specifically in the field of fruit object recognition.

This research is motivated by the challenges in facial identification for forensic investigations due to poor image quality, especially from low-resolution CCTV recordings. Images with noise, low lighting, and suboptimal angles often hinder accurate facial recognition. This study aims to examine the effectiveness of the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) method in enhancing the quality of forensic facial images. The methodology consists of three main stages: data preparation of low-resolution facial images, applying the ESRGAN model to enhance image resolution, and evaluating the results using metrics such as PSNR and SSIM. The findings reveal that ESRGAN significantly improves the visual details of facial images, thereby supporting better facial identification processes. These results have important implications for leveraging deep learning technology to facilitate image analysis in forensic contexts. However, challenges such as extreme noise presence require further development of methods to achieve more optimal outcomes.

This research investigates school scope classification using Deep Neural Networks (DNN), focusing on students living environments and educational opportunities. By addressing the interplay of socioeconomic and educational factors, the study aims to develop an analytical framework for understanding how environmental contexts shape academic trajectories. The research provides a nuanced understanding of the importance of features in educational classification by developing DNN models based on Spearman's Rank Correlation Coefficient (SRCC). The methodology employs machine learning techniques, integrating data wrangling, exploratory analysis, and multiple DNN models with K-fold cross-validation. The study analyzes 677 student records from two schools. The research examined multiple model configurations. Results show that the 'All Data' model achieved 83.08% accuracy, the 'Top 5' model 81.54%, and the 'Non-Top 5' model 79.23%. The SRCC-based approach revealed that while top correlated features are important, additional variables significantly contribute to model performance. The study highlights the profound impact of family background, social environment, and educational contexts on school selection. Furthermore, it demonstrates DNN's capability to uncover intricate, non-linear relationships, offering actionable insights for policymakers to leverage machine learning's potential in developing targeted educational strategies.

Dengue fever (DHF) is an infectious disease caused by the dengue virus and transmitted through the bite of the Aedes aegypti mosquito. This disease is a major health problem in many tropical countries, including Indonesia. Identification and classification of DHF patients is very important to prevent further spread and to provide appropriate medical treatment. In this study, the classification of DHF disease is carried out using the K-Means algorithm, which is one of the methods in machine learning used to classify data based on similarity of features. This study aims to apply the K-Means algorithm in classifying DHF cases based on data on symptoms that appear in patients, such as high fever, joint pain, skin rashes, and others. The data used includes patient medical records that record various clinical and demographic parameters. The K-Means algorithm is used to group the data into clusters that describe the severity category or potential risk of dengue disease. The results showed that the K-Means algorithm can be used to cluster DHF patients well, with the division of groups that can describe the severity of the disease. Evaluation was conducted using metrics such as silhouette and cluster validity to assess the effectiveness of the algorithm in performing classification. This model is expected to help medical personnel in decision-making, provide early warning, and improve rapid response to dengue cases.

Computer vision technology has advanced rapidly and made significant contributions across various fields, including object identification in images. This study aims to develop a computer vision-based system to identify fruit types from images. A machine learning model is applied using a dataset of fruit images to train the system for accurate fruit recognition. The primary processes include data acquisition, image preprocessing, feature extraction, model training, and performance evaluation. The results demonstrate a high level of accuracy in identifying specific fruit types, showcasing the potential of this technology in agricultural and commercial applications.

The objectives of this research are: (1) Producing interactive learning media based on articulate storyline 3 in high school accounting learning subjects. (2) Producinh interactive learning media based on articulate storyline 3 which is feasible in learning high school accounting. (3) Knowing the effectiveness of interactive media development based on articulate storyline 3 in high school accounting subjects in increasing students' learning motivation.The type of the research used is research and development with the ADDIE model. The media trial design used a nonequivalent control group experimental design. The feasibility of the product was tested by media experts, material experts, learning practitioners namely teachers, and media users namely students. The media was tested on the research subjects, namely students of class XII IPS 3 SMA N 1 Seyegan. Data collection was carried out by using observation, interviews, and questionnaires. The data collection instruments used interview guidelines, expert validation questionnaire, material validation questionnaire, teacher response questionnaire, student response questionnaire, and student motivation questionnaire. The feasibility of the learning media produced was analysed by using 4 scales, namely very feasible, feasible, inappropriate, and very inappropriate. The results of the study show: (1) Interactive learning learning media based on Articulate Storyline 3 has been successfully developed to increase students‘ learning motivation in high school; (2) Interactive learning learning media based on Articulate Storyline 3 is considered feasible by media experts with a score of 3.66; material experts with a score of 3.47; teacher practitioners 3.65; and students 3.38; (3) Based on the difference in gain score of the experimental group (0.61) from the control which is (0.45), learning media can increase students’ learning motivation.

This quantitative study aims to discover the effect of the Process Oriented Guided Inquiry Learning (POGIL) learning strategy on students' science process skills concerning reaction rate material. The study employs a quasi-experimental design with a pre-posttest control group. The instrument used is a multiple-choice test to measure students' science process skills. The sample consists of all students in the XI IPA class at SMA Negeri 5 Gorontalo, totaling 45 students: 22 in the experimental group and 23 in the control group. Data analysis utilizes the Rasch Model and SPSS 16.0 for hypothesis testing using the Wilcoxon test. The analysis results show that the person reliability value is 0.00, indicating weak consistency in answering the questions, while the item reliability value is 0.71, suggesting that the quality of the test items is quite good. The mean difference in item scores from pre-test to post-test is greater in the experimental group (3.83 logit) compared to the control group (1.59 logit). Wilcoxon test results show significant values < 0.05, with the experimental group having a significant value of 0.00 and the control group at 0.00.

This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, particularly in high-density urban transportation environments. Therefore, an automated and intelligent solution is required to support real-time monitoring and operational decision-making. The proposed system employs deep learning-based object detection to identify and count passengers from video streams captured by cameras installed inside buses. Two camera positions, namely front and rear views, were evaluated to assess system performance under different visual conditions. The experimental results show that the system achieves high detection accuracy in the front camera view, with a confidence score of 0.82, indicating reliable performance in scenarios with minimal object occlusion. In contrast, the rear camera view demonstrates slightly lower accuracy, with a confidence score of 0.76, mainly due to increased object overlap and variations in lighting conditions. These findings emphasize the importance of appropriate camera placement and environmental consideration in improving detection reliability. In addition, the implementation of the proposed system enables real-time monitoring of passenger flow, which supports dynamic scheduling, demand-based route planning, and efficient fleet management. Accurate passenger data allows transportation operators to optimize service allocation, reduce congestion, and enhance overall service quality. Overall, this study contributes to the development of intelligent transportation systems by demonstrating the practical applicability of deep learning-based passenger counting solutions. The proposed approach offers strong potential for real-world deployment in smart city environments, supporting the creation of more sustainable, efficient, and passenger-oriented public transportation services.

The implementation of this learning aims to be able to implement the Blended Learning learning model through interactive learning multimedia in improving the understanding of the concept of Harmony in Ecosystem material for fifth grade students of UPTD SD Negeri Bluru. The purpose of blended learning is to increase flexibility, optimize time and increase interaction. To obtain accurate results, the implementation procedure is carried out using an experimental method with a pretest-posttest design with a control group. The implementation of learning is carried out by integrating two types of online and face-to-face learning based on interactive learning multimedia which is expected to create a more meaningful learning experience and improve students' understanding of ecosystem concepts. The results of the study showed a significant increase in students' understanding of concepts after participating in blended-learning learning. In addition, students also showed a higher interest in learning and were more active in participating in learning activities. Blended learning will continue to be improved and updated so that it can be used in other subjects with relevant material. In this case, there needs to be reflection, evaluation and follow-up systematically and comprehensively.

This study aims to develop and implement Problem-Based Learning (PBL) and Project-Based Learning (PJBL) learning models in mathematics learning at SD Negeri No. 18 Bababulo, Majene Regency. The main objective of implementing these two models is to increase student involvement, as well as critical, analytical, and creative thinking skills in solving mathematical problems. The implementation procedure began with an introduction to the theme of the impact of plastic waste on the environment. Students were divided into six groups to discuss problems, develop project plans, and conduct observations. The results showed that students were actively involved, with significant increases in motivation and critical thinking skills. Enthusiasm was seen during discussions and presentations, although there were challenges related to self-confidence during presentations, which were overcome through practice from the teacher. The conclusion of this study states that the implementation of PBL and PJBL is effective in improving students' understanding of mathematical concepts and social skills. Suggested follow-ups include consistent implementation of both models and periodic evaluation to improve the quality of learning.

The Teacher Professional Education Program (PPG) aims to improve teachers' competence in carrying out the learning process, which in turn has an impact on improving the quality of education. The purpose of the research is to find out how to evaluate the literacy and numeracy skills of teachers participating in the PPG Certain Teachers. This study uses a qualitative approach, namely evaluation research with a case study method that focuses on one phenomenon. The design models used in CIPPO evaluation are context, input, process, product, and outcome. The population is all informants, namely PPG managers, PPG Coordinators, Lecturers, Pamong Teachers and PPG participants of Certain Teachers totaling 569 people. Data collection by document study, interview guidelines and observation guidelines. Qualitative data analysis uses the Miles and Huberman model, namely data reduction, data presentation and conclusion drawn. In general, based on the graduation percentage of 99.3% declared to have passed UKPPPG and 0.7% did not pass UKPPPG, it can be concluded that the literacy and numeracy skills of teachers participating in certain PPG Teachers are very good and the PPG program at LPTK Malikussaleh University can continue.

This research delves into examining how the Contextual Teaching and Learning (CTL) model can be applied to enhance students' academic performance in Social Sciences (IPS) for fourth-grade students at Madrasah Ibtidaiyah (MI). This research centers on studying literature to examine how the CTL model connects academic content with students' everyday experiences. By enhancing students' critical and social thinking abilities, this study aims to offer insights to educators on how to incorporate successful teaching approaches in madrasas to enhance student academic performance.

In the midst of the climate crisis and environmental damage that is increasingly real, the role of schools as educational centers is increasingly crucial. Not only producing a smart generation, schools have a great responsibility to become a motor of change towards a sustainable future. Green School Bali is an example of the application of the concept of green school that integrates the principle of sustainability in the design of buildings and the education system. By using natural materials such as bamboo that are environmentally friendly and sustainable, this school prioritizes energy conservation, natural lighting, natural ventilation, and efficient management of resources. This study aims to analyze the application of sustainable architecture principles in Green School Bali, using qualitative methods through secondary data analysis from documentation, reports, and related literature. The results show that building design not only minimizes negative impacts on the environment, but also supports the goals of continuing education. Green School Bali is an innovative model to create a learning environment that is in harmony with nature.

This article discusses the potential role of mosques as centers for educational innovation and training to improve community capacity. Through a literature review and case study, this article aims to explore how mosques can transform from simple places of worship into comprehensive learning centers. The method used in this study is a qualitative method, by making books, magazines, articles and journals related to the research theme, focusing on innovative education and training models that can be applied in mosques, the challenges that may be faced, and their potential benefits for the community. The results of the analysis show that with the right approach, mosques can become important buildings in human resource development and community empowerment in two innovations, namely Educational Innovation; (1) Establishing non-formal educational institutions such as TPA and MDA, (2) Routine syllabus studies, (3) Arabic language course institutions. Training Innovation; (1) funeral prayer training, (2) Youth mosque leadership training, (3) Preaching training.

This research explores the integrative paradigm of research-based Islamic boarding schools, focusing on Al-Khawarizmi Research Pesantren in Mijen, Semarang. Utilizing a qualitative approach with direct interviews, the study investigates how pesantren can bridge traditional Islamic education and modern scientific research. The findings reveal three key dimensions: a critical philosophical approach, integration of traditional-modern scientific knowledge, and multicultural value internalization. The research demonstrates how pesantren can  develop critical thinking, research skills, and social awareness among students through an innovative educational model that combines religious learning, research methodology, and cross-cultural collaboration. The study contributes to understanding the potential of pesantren as dynamic educational institutions capable of responding to contemporary challenges while maintaining their core traditional values.

Learning media needs to be developed by utilizing technology supported by the availability of facilities in schools so that students are interested in paying attention to the material being explained with a media. The purpose of this research is to develop video learning media using Plotagon Studio that is feasible and practical for Islamic education learning in the classroom. The research method used is Research and Development (R&D) with the 4D model. The research was carried out at Nurul ‎Ihsan Islamic High School, Palangkaraya. The video learning media in Islamic education was adjusted appropriately through validity and practicality tests. Validation was carried out by media experts and material experts. The results of the validity test of video learning media in Islamic education using Plotagon Studio at Nurul Ihsan Islamic High School Palangkaraya were declared valid with a validation percentage of media experts of 83.75%, and material experts of 76.39%. While the results of the practicality test at the research school were 82.37% for student responses. Thus, the use of video learning media in Islamic education using Plotagon Studio at Nurul Ihsan Islamic High School in Palangkaraya is valid and practical for use in the learning process.   ‎

The research examines: (i) the ideal form of preventing corruption through an integrated education system; and (ii) projected obstacles to implementing the corruption prevention model through an integrated education system. The background to the existence of criminal acts of corruption is proven by Indonesia's position at rank 96 out of 180 countries with a score of 38 out of a perfect score of 100 at the beginning of 2023, below the global nominal of 43. Data proves that efforts to eradicate corruption by optimizing the penal system have not been effective in preventing the rate of corruption cases. Non-penal steps are needed, one of which is through anti-corruption education by instilling awareness of the impact of corruption in the younger generation. The research uses a conceptual approach, then combined with legal material and qualitative thinking analysis. The research results show that there are three ideal forms of preventing corruption through an integrated education system, namely: (i) providing basic level anti-corruption education; (ii) preparation of an anti-corruption education curriculum; and (iii) preparation of anti-corruption educational learning schemes. Meanwhile, obstacles include: (i) there is no anti-corruption education curriculum; (ii) implementation instructions and technical instructions for implementing integrated anti-corruption education are not yet available; and (iii) Anti-corruption education is facultative.

This research is based on the limited use of learning media among teachers, although the media is important to support 21st century learning that should utilize technology. The lack of special media for multiplication materials in grade III of elementary school causes learning to be less in line with the stage of cognitive development of students. Usually, teachers use lecture methods and multiplication tables, which makes students tend to only listen and memorize. As a solution, researchers developed the Interactive Multiplication Stacking Board media, which aims to facilitate the understanding of the concept of multiplication through the repeated multiplication approach so that students can understand the concept of multiplication concretely. This research aims to design, develop, and test the feasibility of the learning media. The method used is Design-Based Research with the Reeves model, which includes problem identification, prototype development based on relevant theories, as well as product testing and improvement through validity tests and repeated trials. The final result of this research is the Interactive Multiplication Stacking Board learning media that is ready to be used to support multiplication learning in class III in elementary school.