Publication Search

Learning Islamic jurisprudence (fiqh taharah) is an important foundation in developing correct worship habits in children. This community service research examines the implementation of Islamic jurisprudence (fiqh taharah) learning at Majlis Taklim Al Falah Tangerang with the aim of improving knowledge, practical skills in ablution, and the capacity of teachers in teaching children. The method used is an asset-based community development (ABCD) approach and a participatory-educational approach that combines short theory sessions, demonstrations, repeated practice, and non-written practical evaluations. Data were collected through observation, interviews, direct practice, and formative evaluations during the activities. The results show an increase in participants' conceptual understanding of hadas and najis (impurity) and improved ablution practical skills, characterized by enthusiasm, the ability to imitate the ablution sequence more accurately, and a positive response to practical learning methods. In addition, the program encourages teachers' awareness to implement skills-based evaluation and enrich learning methods according to children's characteristics. In conclusion, Islamic jurisprudence (fiqh taharah) learning at Majlis Taklim is more effective when it is practice-oriented, participatory, and sustainable; Follow-up recommendations include routine ablution practices, pedagogical training for teachers, and the provision of simple media to support learning.

This research aims to improve the mathematics learning outcomes of Grade VII B students at SMP Darul Ulum 5 Rebalas through the implementation of Madurese language-based ethnomathematics. The study is motivated by the students' difficulties in understanding mathematical concepts delivered in formal Indonesian, as their daily communication relies on the specific Madurese dialect of Rebalas Village. This study employs the Classroom Action Research (CAR) method using the Kemmis and McTaggart model, conducted in two cycles. Each cycle consists of planning, action, observation, and reflection stages. The subjects of this research were 28 students from class VII B. The research instruments included test instruments in the form of group Student Worksheets (LKPD) and observation sheets for both teacher and student activities. The material focused on the topic of Lines and Angles. The results indicated an improvement in student learning outcomes from Cycle I to Cycle II. In Cycle I, the average group score was 80.2, which increased to 88 in Cycle II. Observations of student activities also showed a shift from passive participation in Cycle I to active and enthusiastic engagement in Cycle II. Furthermore, teacher observations showed significant improvement; initial issues regarding time management and excessive workloads were resolved, resulting in more enthusiastic and punctual teaching delivery. These findings demonstrate that the use of Madurese-based ethnomathematics helps students grasp mathematical terms more easily, increases discussion participation, and creates a more comfortable and interactive classroom atmosphere, thereby leading to improved learning outcomes.

In the era of globalization and technological advancement, education must transform to develop students who are adaptive, critical, and have strong character. One innovation introduced by the government is the Merdeka Belajar (Independent Learning) Curriculum, which emphasizes competency, character, and project-based learning. This study aims to determine the effect of implementing the Merdeka Curriculum on the learning outcomes of Pancasila Education for Grade XI students at SMAN 1 Petir in the 2024/2025 academic year. A quantitative method with a survey approach was used, involving 80 student respondents. Data were collected through questionnaires and learning outcome tests, and analyzed using correlation and regression statistical techniques. The results show that the Merdeka Curriculum has a significant and positive effect on students’ PPkN learning outcomes, with a correlation coefficient of 0.766. This means better implementation of the curriculum leads to better student achievement. The curriculum contributes 58.7% to the learning outcomes, while the remaining 41.3% is influenced by other factors. The study concludes that the Merdeka Curriculum effectively enhances learning outcomes, particularly in character and 21st-century skills development.

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 study aims to analyze the effectiveness of the application of direct and indirect methods in teaching English, specifically the topic of "Telling Time," at MTs Al-Amiriyyah through microteaching practice. This research employs a descriptive qualitative approach with data collection techniques including observation, interviews, and documentation. The research subjects consist of an English teacher and the students of class VIII A. The data were thematically analyzed to identify significant patterns in the teaching process. The findings indicate that the direct method is effective in building students' foundational understanding of time concepts, as it emphasizes explicit and concrete use of the target language and allows teachers to easily assess students' comprehension through drilling. On the other hand, the indirect method proved to enhance students’ ability to use English more naturally through contextual activities such as role play and daily schedule games. Moreover, students with kinesthetic learning styles responded more positively to the indirect method, as it enables them to learn through physical activity and direct participation. These findings suggest that a combination of both methods yields optimal results: the direct method is effective for the initial stage of concept acquisition, while the indirect method supports the development of communicative skills in a functional and enjoyable manner, aligning with students' characteristics.

Adolescent girls often complain of dysmenorrhea, or discomfort during menstruation, which can range from mild to severe and interfere with daily activities, especially learning. To prevent this disease from lowering the quality of life of adolescents, it must be treated. Education about dysmenorrhea and its treatment is one of the actions that can be taken. The study used a pre-experimental design approach, a quantitative research design, and a single-group pre-test-post-test research plan without a control group design. Using a proportional stratified random sampling approach, 57 female students of class X formed a research sample. The use of films on dysmenorrhea for health education serves as an independent variable of the study. Adolescent girls' knowledge and attitudes about dysmenorrhea function as a study-dependent variable. The validity and reliability of these instruments are checked. Univariate and bivariate analysis were used as data analysis methods in this study. The Wilcoxon Signed Rank Test is used for hypothesis testing. It was determined that health education using dysmenorrhea film had an impact on the knowledge and attitudes of adolescent girls about the treatment of dysmenorrhea based on the findings of the Wilcoxon Signed Rank Test (Asymp.) with a value of 2-tailed 0.000 (p<0.05). The findings of the study showed that among grade 10 students at SMA Negeri 13 Selatan Halamahera, health education through dysmenorrhea films had an impact on the knowledge and attitudes of adolescent girls about the treatment of dysmenorrhea.

This training aims to strengthen local wisdom-based character for students at SMPN 3 Want Jaya, Aceh Besar Regency with traditional meudike art material. This training was carried out using lecture methods, learning by doing, discussion and question and answer. The first training session was conducted directly by Syeh Medya Hus as a meudike expert and the second session was carried out with group training. The results of the training show that this training can positively contribute to strengthening the religious, social and responsible character of students at SMPN 3 Want Jaya which is reflected in their seriousness, sincerity, cohesiveness, cooperation, helping each other during the ongoing training process. Therefore, this training can continue to be developed both in formal and extracurricular learning processes at school to create a generation that loves cultural identity and national identity.

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.

Jambi Province is one of the largest natural rubber producing regions in Indonesia; however, rubber factories under GAPKINDO Jambi still face productivity issues, particularly the gap between production capacity and actual output, and productivity assessment that is still conducted manually by GAPKINDO Jambi. This study employs Decision Tree, Random Forest, KNN, and SVM algorithms within a structured pipeline involving preprocessing, feature selection, standardization, data balancing using SMOTE, and hyperparameter tuning. The proposed solution applies productivity level classification both individually and through paired combinations (ensemble voting). The results show that the Decision Tree + Random Forest model achieves the best performance with an accuracy of 0.84 and an F1-score of 0.83, confirming the effectiveness of ensemble methods in supporting productivity improvement decisions.

Digital literacy is important in education in the era of Society 5.0, because teachers are required to be facilitators in supporting students to become digital learners. To support the success of students in becoming digital learners, the role of teachers in the use of technology during learning activities also contributes. The existence of these demands makes the use of virtual reality media in the learning environment an alternative that can be done to create learning activities that meet the demands in the Society 5.0 era. The purpose of this service activity is to improve the digital literacy of IGI Pekanbaru. as well as introduce virtual reality-based learning media as a renewable learning media innovation to support student learning activities in the digital era. In this service, the methods include presentation, demonstration, and practice. The results showed that teacher training in making VR learning media can improve their digital literacy. This training can also help teachers create interactive and interesting technology-based collaborative learning media for modern learning.

Early Childhood Education (PAUD) emphasizes the principle of child-centered learning through meaningful and contextual play activities. Environment-based learning is one of the approaches that is relevant to the characteristics of early childhood because it provides a real learning experience and is close to the child's life. This study aims to describe in depth the implementation of environment-based play learning and its impact on cognitive, language, social-emotional, and motor development in early childhood. The research method used was qualitative descriptive with group B child subjects in PAUD Mawar. Data collection techniques are carried out through observation, interviews, and documentation. The results of the study show that environment-based play learning is able to increase children's active involvement, curiosity, communication skills, cooperation, and motor skills. The conclusion of this study shows that environment-based play learning is effectively applied in PAUD Mawar and can be used as an alternative to contextual and holistic learning strategies.

AImbalanced data remains a significant issue in heart disease classification using machine learning, as it tends to cause models to overestimate the majority class while ignoring minority classes with high clinical value. This can lead to a decrease in accuracy and the model's ability to accurately detect disease cases. Therefore, this study aims to assess the effectiveness of oversampling techniques, namely Random Oversampling and Synthetic Minority Oversampling Technique (SMOTE), in improving the performance of the K-Nearest Neighbors (KNN), Naive Bayes (NB), and Random Forest (RF) algorithms. The dataset used comes from Kaggle and consists of 918 data sets with 12 attributes representing patient information related to heart disease prediction. The research stages include data preprocessing, baseline model testing, and re-evaluation using the two oversampling methods. Experimental results show that oversampling can improve the performance of all algorithms. KNN achieved the best results with SMOTE, with an accuracy of 72.98% and an F1-score of 75.39%. In the Naive Bayes algorithm, both oversampling techniques produced relatively stable performance, with the highest F1-score of 73.56% using SMOTE. Meanwhile, Random Forest showed the most optimal performance when combined with Random Oversampling, with an accuracy of 79.19% and an F1-score of 81.51%. These findings confirm that the success of data balancing techniques is strongly influenced by the characteristics of the classification algorithm used, and provide a practical contribution in determining strategies for handling imbalanced data in health research.

This study aims to evaluate the impact of role-playing methods on learning interest and number concept mastery in 4-5-year-old children at TK Inomata, Suwawa Selatan District, Bone Bolango Regency. The approach used is a quantitative experimental method with purposive sampling of 8 children, and data collection was carried out through observations of aspects such as enjoyment, focus, activity, and enthusiasm, using a 1-4 scale. The results show that the average learning interest score using the traditional method was only 5.86 (low category), with details: enjoyment 1.71, focus 1.29, activity 1.29, and enthusiasm 1.57. In contrast, the role-playing method of trading/store games showed an average score of 13.86 (very good category), with details: enjoyment 3.57, focus 3.43, activity 3.29, and enthusiasm 3.57. This significant improvement indicates that the role-playing method is more effective in creating interactive, enjoyable, and contextual learning, as well as supporting number comprehension through everyday activity imitation and social skill development. It is recommended to routinely apply this method in early childhood education (PAUD) with adequate teaching aids, as well as involve parents to support the holistic development of children during the golden age.

This study aims to describe the implementation process of the Christian Religious Education teaching module with the topic "Human Life in God's Care" for seventh-grade students of SMP Negeri 12 Palangka Raya. The focus of the activity was directed to determine the implementation of learning, student responses, and learning outcomes achieved through the biblical story approach, discussion, reflection, and creative poster-making projects. The research method used was descriptive qualitative with data collection techniques through observation, documentation, and assessment of work results. Data were analyzed through the stages of data reduction, data presentation, and conclusion drawing. The results showed that the implementation of the teaching module went well and achieved the learning objectives. Students were able to understand the concept of God's care, relate God's word to personal life experiences, and demonstrate an attitude of gratitude through reflection and discussion. In addition, students produced a poster with the theme "God Cares for My Life" as a form of creative expression and the meaning of faith. Despite several obstacles such as limited time for the project and variations in student activity levels, learning remained effective and conducive. The assessment showed positive developments in the cognitive, affective, and psychomotor aspects of students.

This study aims to classify customer payment methods at 17 Coffee & Eatery using machine learning algorithms, namely Naïve Bayes and Support Vector Machine (SVM). The increasing use of digital and non-cash payments has generated large volumes of transaction data that are rarely analyzed optimally, even though such data contain valuable information for business decision making. This research used secondary transaction data collected from January to March 2025, consisting of 10,147 transaction records. The dataset included several attributes such as order time, payment time, transaction type, total sales, number of items, and payment method. Data preprocessing was performed through data cleaning, feature engineering, normalization, and label encoding before being divided into training and testing sets with an 80:20 ratio. The Naïve Bayes and SVM models were then trained and evaluated using accuracy, precision, recall, F1-score, and ROC–AUC metrics. The results show that both algorithms were able to classify payment methods effectively, but SVM achieved higher accuracy and more stable performance than Naïve Bayes. These findings indicate that SVM is more suitable for handling complex and heterogeneous transaction patterns. The implementation of machine learning for transaction classification can support more efficient financial management and data-driven decision making for small and medium enterprises in the culinary sector.

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.

The rapid development of digital streaming platforms such as Netflix has generated a large volume of content data with diverse characteristics, thereby requiring effective analytical methods to understand emerging patterns and trends. This study aims to classify Netflix content into two main categories, namely movies and television shows, and to analyze genre trends and content characteristics using a data mining approach with the Naive Bayes algorithm. The dataset used in this study is the Netflix Shows dataset, consisting of 8,809 content entries, with the primary features analyzed including genre, rating, and country of production. The research process begins with data exploration and preprocessing stages, including data cleaning, handling missing values, and transforming categorical features to enable effective model construction. Subsequently, the dataset is divided into training and testing sets to objectively and systematically build and evaluate the Naive Bayes classification model. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics to assess the model’s ability to accurately distinguish between Netflix content types. The experimental results demonstrate that the Naive Bayes algorithm is able to classify Netflix content into Movie and TV Show categories with accuracy, precision, recall, and F1-score values of 100%, respectively. The confusion matrix indicates that no misclassification occurred, suggesting that genre, rating, and country of production features provide a very clear separation between content classes. These findings indicate that the Naive Bayes algorithm can achieve exceptionally high classification performance with optimal evaluation results. The results further reveal distinct differences in characteristics between movies and television shows based on genre and production attributes. Therefore, this study is expected to contribute to the development of content recommendation systems and strategic content management within the streaming industry.

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.

Islamic character education faces dual challenges: declining moral values among students and conventional teaching methods inadequate for developing higher-order thinking skills. This study examines the implementation of a smart learning environment (SLE) model to enhance metacognitive understanding in Aqidah Akhlak (Islamic Creed and Ethics) instruction among eighth-grade students at MTs Salafiyah Merakurak. Employing a mixed-methods action research design, involved 16 eighth-grade students divided into two groups. Data collection utilized classroom observations, semi-structured interviews, and learning documentation. The SLE model integrated Google Classroom, interactive video content, WhatsApp Group discussions, and Google Forms assessments to create a technology-enhanced learning ecosystem. Findings revealed substantial improvements in students' metacognitive capacities: planning skills increased from 25% to 75%, monitoring abilities rose from 31% to 81%, and evaluation competencies grew from 19% to 69%. Students demonstrated enhanced learning autonomy, active participation in collaborative discussions, and improved self-reflection on content comprehension. The SLE approach successfully fostered engaging learning experiences while facilitating deeper internalization of Islamic ethical values. However, implementation encountered constraints including limited technological infrastructure and varied digital literacy levels among students. This research underscores the critical need for developing teachers' digital competencies and strengthening madrasah technological infrastructure to optimize technology-integrated Islamic education.