Publication Search

Reading comprehension, especially in personal letter texts, is challenging for many Indonesian high school students due to limited vocabulary and low motivation. Blooket, a game-based learning platform, offers potential to improve engagement and learning outcomes.Objective: This research aims to examine the effectiveness of Blooket learning media in improving students’ reading comprehension of personal letters at Grade XI of SMA PGRI Pekanbaru. A quantitative approach with a quasi-experimental non-equivalent control group design was used. The sample consisted of 39 students, divided into an experimental group taught with Blooket and a control group taught conventionally. Pre-tests and post-tests (25 multiple-choice items) were administered, and data were analyzed using normality, homogeneity, The experimental group’s mean score increased from 55.21 to 84.96, while the control group improved from 51.53 to 72.00. The paired sample t-test yielded p = 0.000 (<0.05), indicating a significant effect of Blooket on reading comprehension. Blooket’s interactive and competitive features effectively enhanced students’ reading comprehension of personal letters, motivation, and participation, making it a valuable alternative for teaching short functional texts in EFL classrooms.

A wall follower robot is a type of autonomous robot that is designed to move by following a wall at a certain distance. This research aims to design and build a Wall follower robot equipped with a Fuzzy-PID control system to improve navigation performance. The robot uses five HC-SR04 ultrasonic sensors to detect the distance to the wall and the surrounding obstacles. The data from the sensor is then processed by a Fuzzy-PID algorithm that combines the advantages of conventional PID control with fuzzy logic, resulting in a more adaptive response to environmental conditions. The test results showed that the robot with Fuzzy-PID control was able to maintain the stability of the distance to the wall more consistently compared to the pure PID control. In addition, the system exhibits better adaptability to complex environmental conditions, such as sharp turns, uneven wall surfaces, and the presence of resistance variations. The application of Fuzzy-PID control has been shown to improve the stability, response speed, and accuracy of the robot's navigation. These findings are expected to contribute to the development of robotic navigation systems for a wide range of practical applications, including automated cleaning robots, environmental exploration, and industrial systems that require reliable autonomous mobility.

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.

This study aims to determine the effect of using number puzzle media on the ability to recognize number symbols in early childhood at Kihajar Dewantoro VI Kindergarten. The background of this study is based on the importance of concrete and interesting media in supporting early mathematics learning, especially the introduction of number symbols in children aged 4–5 years. The study used a quantitative method with a quasi-experimental design through a comparison between conventional learning and learning using number puzzle media. Data were collected through observations of aspects of the ability to recognize number symbols and match numbers. The results showed that the average ability of children in conventional learning only reached a score of 6, while learning using number puzzle media increased significantly to a score of 13.1. These findings indicate that number puzzles can make children more focused, enthusiastic, and easier to understand number symbols in a concrete and meaningful way. Thus, number puzzle media is proven to be effective in improving the ability to recognize number symbols in early childhood and can be used as an alternative mathematics learning media in PAUD.

Flood is a frequent natural disaster in Indonesia, often exacerbated by delays in information delivery from conventional manual monitoring systems. This study aims to design and build an automatic flood early warning system based on the Internet of Things (IoT) integrated with a web dashboard and WhatsApp notifications. The system utilizes the ESP32 microcontroller and MaxBotix MB7389 ultrasonic sensor for real-time water level data acquisition. The Research and Development (R&D) method was employed, focusing on device accuracy validation and system integration. The measured data is transmitted to a .NET-based server and stored in a PostgreSQL database. Results indicate that the system functions according to design. Sensor accuracy testing demonstrated a high degree of precision (99.12% - 100%) compared to manual measurements. Furthermore, the system successfully sends timely warning notifications via WhatsApp when water levels exceed predefined thresholds, providing a more effective solution than manual monitoring to enhance community preparedness.

This study aims to analyze the effect of the use of kahoot game media on the cognitive learning outcomes of moral beliefs in grade VII C MTS negeri 1 Tuban students. The background of this research is the low enthusiasm and learning outcomes of students in learning moral beliefs which are still dominated by conventional methods while the characteristics of agency students demand a more interactive and adaptive learning approach to technology. This study uses a quantitative approach with a quasi-experimental design of one group pretest design involving 34 students as a sample. This research instrument is in the form of a multiple-choice cognitive learning outcome test of 20 questions covering 4 levels of bloom taxonomy, namely remembering, understanding, applying, and analyzing. The data was analyzed using descriptive statistics and normalistic calculations, the results of the study showed a significant increase in students' cognitive learning outcomes where the average class score increased from 66.03 in the pre-test to 80.29 in the post-test with an engine value of 0.42 which was in the medium category. These findings identify that kahood media has a positive impact on improving students' cognitive learning outcomes.

Micro, Small, and Medium Enterprises (MSMEs) are the backbone of regional economies, including in the city of Banjarmasin, as they play a crucial role in job creation and income generation for local communities. However, many MSMEs continue to face challenges in the marketing aspect, particularly due to their reliance on conventional marketing methods that have limited reach and require relatively high costs. In response to these issues, this community service program aims to promote the digitalization of MSME marketing methods in Banjarmasin through intensive training and mentoring in the utilization of social media marketing. The implementation methods include an initial needs assessment survey to identify partners’ levels of understanding, workshops on digital marketing strategies, and hands-on mentoring for direct implementation on social media platforms such as Instagram and Facebook. The results of the program indicate a significant improvement in MSME actors’ knowledge and skills, particularly in managing business accounts, developing content strategies, and creating visually appealing content that aligns with target market characteristics. Furthermore, MSME partners were able to expand their market reach more effectively and efficiently, which is expected to enhance business competitiveness and sustainability in the digital era.

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.

Diseases in primary health services exhibit complex spatial-temporal dynamics due to urbanization and population mobility. Conventional surveillance approaches are difficult to capture these patterns adaptively. Machine learning (ML) based on spatio-temporal modeling offers a solution with the ability to detect disease clusters automatically and with high precision. Research Objectives: This research aims to develop a machine learning model to detect disease hotspots from primary service data in Indonesia, with a focus on improving prediction accuracy, interpretability, and relevance of health policies. Methodology: The primary service dataset for 2024 (5,343 entries) was analyzed using three ML models Gradient Boosting Machine (GBM), Temporal Random Forest (TRF), and Multi-EigenSpot with spatial (village) and temporal (week, month) features. Performance evaluation includes predictive (AUC, F1-score) and spatial (Moran's I, Spatio-Temporal Correlation Index) metrics. Results: The results showed that Multi-EigenSpot achieved the best performance (AUC=0.91; F1=0.86), with the detection of dominant hotspots in Sungai Asam and Beringin Villages. Moran's I value of 0.63 indicates a strong spatial autocorrelation, while STCI=0.57 indicates moderate temporal stability. Conclusions: ML-based spatio-temporal models are effective in identifying hidden disease patterns and have the potential to be integrated into national digital surveillance systems. This approach supports precision public health by providing a scientific basis for real-time location- and time-based intervention policies.

Recommender systems play a critical role in shaping user decisions across digital platforms; however, the increasing complexity of recommendation algorithms has raised serious concerns regarding transparency, trust, and accountability. This study focuses on enhancing the transparency of recommender systems by integrating Explainable Artificial Intelligence (XAI) techniques within a MovieLens-based recommendation framework. The primary problem addressed is the opacity of conventional recommendation models, which limits user understanding of why certain items are recommended and may reduce trust, perceived fairness, and system acceptance. Accordingly, the main objective of this research is to design and evaluate a hybrid explainable recommender system that balances predictive accuracy with human-understandable explanations. The proposed approach combines Matrix Factorization, feature-importance-aware neural networks, and knowledge graph embeddings to construct a robust recommendation model. To enhance explainability, multiple XAI strategies are integrated, including model-agnostic methods (LIME, SHAP, and CLIME), argumentation-based explanations, and context-aware personalized explanations. A comprehensive evaluation framework is employed, incorporating algorithmic metrics (accuracy, fidelity, robustness, counterfactual consistency, and fairness) alongside human-centered evaluations measuring trust, transparency, cognitive load, and perceived usefulness. Experimental results demonstrate that the knowledge graph–enhanced hybrid model achieves superior recommendation accuracy compared to baseline approaches. Moreover, context-aware explanations consistently outperform other methods in terms of fidelity, robustness, and user-perceived transparency, while argumentation-based explanations are found to be the most persuasive. CLIME offers a strong balance between technical stability and interpretability. The findings indicate that no single explainability technique is universally optimal; instead, hybrid and adaptive explanation strategies are most effective. In conclusion, this study confirms that human-centered, context-adaptive XAI significantly improves transparency and user trust in recommender systems, highlighting explainability as a fundamental component rather than an optional enhancement.

The mathematics learning outcomes of students at SMP Negeri 3 Bontang on Rational Numbers are still relatively low. Data from the 2019 National Examination (UN) shows an average math score of 46.43, which is in the "poor" category. Summative assessment results indicate that most students have not yet achieved the Learning Objective Achievement Criteria (KKTP). This situation indicates that the learning process tends to be conventional and lacks active student engagement. Therefore, a more innovative learning model is needed, one of which is the Team Games Tournament (TGT), which combines group work, competition, and educational games. This study aims to determine the effect of the TGT learning model on the mathematics learning outcomes of seventh-grade students at SMP Negeri 3 Bontang in the topic of Rational Numbers. This study used a quantitative approach with a quasi-experimental type and a Posttest-Only Control Group Design. The study population was 203 seventh-grade students in the 2024/2025 academic year, with a sample consisting of class VII A as the experimental group (33 students) and class VII F as the control group (34 students), selected through a purposive sampling technique. The research instrument was a five-item essay test. The analysis results showed that the average posttest of the experimental group was 67.848, higher than the control group at 61.794. The Independent Sample t-Test produced a significance value of 0.031 <0.05, so H₀ was rejected. This indicates that the Team Games Tournament (TGT) learning model has a significant effect on improving students' mathematics learning outcomes in the Rational Numbers material.

Land navigation capability is a fundamental competence that must be possessed by Marine Corps cadets to support the success of military training and operations. Along with technological advancements, the utilization of modern navigation devices such as offline maps integrated with smartwatches has emerged as a strategic alternative to enhance the effectiveness of ground operation training. However, the implementation of this technology within military education institutions, particularly at the Indonesian Naval Academy, remains limited. This study aims to analyze the optimization of smartwatch-based offline maps to support ground operation training for Marine Corps cadets. A qualitative research method with a phenomenological approach was employed through interviews, observations, and documentation. The research subjects included instructors from the Marine Department and Marine Corps cadets of the 70th cohort. The findings indicate that smartwatch-based offline maps offer significant advantages in terms of practicality, durability in wet terrain, accessibility of navigation data, and movement efficiency compared to conventional GPS devices. Nevertheless, the utilization of this technology is constrained by the absence of structured curriculum integration, limited specialized training, and insufficient technological proficiency among instructors and cadets. Therefore, this study recommends incorporating smartwatch-based offline map training into the formal curriculum to enhance the readiness, professionalism, and independent navigation skills of Marine Corps cadets in modern military operations.

The development of military communication technology requires effective, secure, and adaptable communication systems suitable for training and operational environments. During the implementation of Karkata Yudha Practical Training, Marine Corps cadets still experience various communication constraints due to the limitations of conventional communication devices that do not support hands-free operation, noise resistance, and communication confidentiality. This study aims to analyze the utilization of Tactical Radio Person Headsets as a communication support tool to enhance the effectiveness and efficiency of Karkata Yudha practical training for Marine Corps cadets. This research employed a qualitative method with a descriptive-analytical approach. Data were collected through direct observation of training activities, in-depth interviews with communication experts from the Marine Corps, and documentation studies. Data analysis was conducted using SWOT analysis to identify strengths, weaknesses, opportunities, and threats related to the implementation of Tactical Radio Person Headsets. The results indicate that the utilization of Tactical Radio Person Headsets significantly improves tactical communication quality, accelerates coordination among units, and supports maneuver execution and decision-making in the field. The challenges identified include limited equipment availability, procurement costs, and the need for technical training for users. Overall, Tactical Radio Person Headsets demonstrate strong potential to be integrated into Marine Corps cadet training systems to enhance operational readiness and professionalism in the future.

This study examines how climate justice principles can be integrated into fiscal governance frameworks to enhance accountability within global climate finance. As climate change intensifies economic vulnerabilities, particularly in developing countries, the allocation and oversight of climate finance have become critical determinants of equity and resilience. Current fiscal oversight mechanisms exhibit notable progress in transparency but remain insufficient in addressing fairness, distributive justice, and participation. Through a comparative institutional analysis of global financial institutions, national budget systems, and emerging technological tools, this study identifies persistent challenges—including fragmented accountability structures, lack of standardized reporting mechanisms, and political-economy dynamics that hinder equitable funding flows. The findings emphasize that climate finance often prioritizes procedural compliance over transformative outcomes, limiting its potential to reduce structural inequalities and build adaptive capacity. The study argues that accountability frameworks must evolve beyond conventional financial auditing, incorporating social and environmental metrics that reflect the moral imperatives of climate justice. By integrating participatory governance, digital innovations, and harmonized reporting standards, fiscal systems can foster more transparent, just, and impactful climate finance. This research contributes to the discourse on climate governance by proposing accountability reforms capable of linking financial decision-making with ethical considerations, thereby advancing global efforts toward a fair and resilient climate transition.

Character development and independence in early childhood constitute fundamental foundations for future life success. While both the Montessori method and role-playing activities have proven effective in early childhood education, research on their integration remains limited. To analyse the effectiveness of integrating the Montessori method with role-playing activities in enhancing character development and independence in early childhood. A quantitative study employing quasi-experimental design with pre-test and post-test control group design was conducted with 60 children aged 4-6 years. Participants were randomly assigned to an experimental group (n=30, receiving the integrated method) and a control group (n=30, receiving conventional instruction). Significant improvements were observed in both character development (p<0.05) and independence (p<0.01) in the experimental group. The experimental group showed substantial gains in character scores (18.94 points) compared to the control group (4.36 points), with large effect size (Cohen's d = 2.06). Independence scores increased by 21.23 points in the experimental group versus 4.47 points in the control group, also with a large effect size (Cohen's d = 2.65). The integration of Montessori method with role-playing activities proves highly effective in enhancing character development and independence in early childhood, offering a promising pedagogical approach for early childhood education.

The rapid advancement of digital technology has significantly transformed the economic landscape, particularly in payment systems that are shifting from conventional cash transactions to the use of Electronic Money (E-Money). E-Money has become increasingly popular due to the convenience it offers, allowing users to conduct transactions anytime and anywhere without the need to carry physical cash. As this payment innovation continues to expand, it is essential to examine whether its mechanisms comply with Islamic principles, given that the use of E-Money is closely related to the values of muamalah in Islam. This study aims to identify the underlying contractual structure (akad) governing Mandiri E-Money transactions and to assess its conformity with sharia principles. It further analyzes the potential presence of gharar, riba, or maisir within the top-up and transaction processes, as well as the sharia mitigation mechanisms that may be applied. The research employs a normative approach based on classical and contemporary Islamic legal theory, supported by observational analysis of Mandiri E-Money practices. Data were analyzed qualitatively using a descriptive method and maqashid al-shariah reasoning. The findings indicate that the use of Mandiri E-Money does not involve elements of riba, gharar, or maisir, and therefore does not deviate from sharia principles. These potential risks were examined through fiqh legal maxims and DSN-MUI fatwas to ensure comprehensive sharia compliance.

The purpose of this study is to discuss the introduction of the Pendet Dance in the Markandeya–Walailak cultural exchange program and to evaluate its effectiveness as a cross-cultural character education tool. To investigate program design, execution, and results, the study used a descriptive qualitative approach backed by the CIPP (Context, Input, Process, Product) evaluation model. During the cultural exchange activities, information was gathered through participant reflection, documentation, and observation. The results show that the program effectively combined the principles of character education with conventional performing arts. Thai students showed greater appreciation, tolerance, respect, and empathy for cultural diversity as well as a deeper comprehension of the Pendet Dance's meaning, symbolism, and cultural value. In addition, Indonesian students who served as facilitators saw improvements in their discipline, self-assurance, cultural adaptability, and communication abilities. The exercise emphasizes how traditional performing arts can be a powerful tool for international engagement and cultural diplomacy. All things considered, the program shows that cultural exchange programs can make a significant contribution to global character education, and it is advised that comparable projects be maintained and developed in subsequent international education partnerships.

The Sustainable Development Goals (SDGs) are a global agenda that emphasizes the importance of balancing economic growth, social justice, and environmental sustainability. In Indonesia, the primary challenge in achieving the Sustainable Development Goals (SDGs) lies in the limited financing of sustainable development projects. Sukuk, particularly green sukuk, is a sharia-compliant financial instrument with the potential to provide an alternative solution to support funding for environmentally friendly projects and green infrastructure. This study aims to analyze the role of sukuk in financing sustainable development, identify its potential and implementation challenges, and compare it with other national financial instruments. This study employed a library research method through a literature review of books, scientific journals, articles, and empirical data related to sukuk development. The results show that demand for sukuk is increasing compared to conventional bonds and provides a competitive financing alternative based on sharia principles. However, its implementation still faces obstacles such as financial literacy, regulatory readiness, market liquidity, and limited institutional coordination. Strengthening regulations and stakeholder collaboration are necessary for sukuk to effectively support the achievement of the Sustainable Development Goals (SDGs).

This study aims to analyze the difficulties experienced by students in understanding abstract concepts in Islamic creed (akidah) and to evaluate the effectiveness of Islamic-based animation learning media as an innovative and interactive solution. The research employs a qualitative Classroom Action Research (CAR) approach, conducted in two learning cycles using observation, interviews, documentation, and questionnaires as data collection techniques. The implementation of Islamic animation learning media demonstrated a significant improvement in students’ conceptual comprehension. The results indicate that the average understanding score increased from 35.25% in the preliminary stage to 89.25% after the final cycle, showing a substantial rise in students’ achievement levels. In addition, students’ enthusiasm, motivation, and active participation in classroom activities increased markedly when learning materials were presented through animated visualization rather than conventional lecture-based instruction. Expert validation confirmed that the developed instructional media meets pedagogical, didactic, and visual quality standards, and responses from teachers and students revealed positive perceptions regarding the relevance and attractiveness of animation-based learning. The findings highlight that Islamic-based animation learning media serves as an effective educational tool capable of simplifying and concretizing abstract theological concepts, enabling learners to construct deeper understanding through visual and contextual illustration.Therefore,the study recommends the broader application of animation-based Islamic instructional media in akidah education to enhance comprehension, engagement, and learning outcomes in schools.

In today's digital era, the dance learning process is no longer limited to conventional studios. Various technologies, ranging from instructional videos and interactive media to virtual reality, are increasingly being utilized in dance education. Through a systematic literature review (SLR), this study examines the effectiveness of various dance learning tools based on empirical findings and development studies. This study compiles, compares, and summarizes research findings on the use of various media (such as video, VR, interactive PowerPoint, and augmented reality) and their impact on several aspects, including material comprehension, movement skills, aesthetic appreciation, and student engagement. The analysis shows that digital technology can improve dance learning outcomes across the cognitive, psychomotor, and motivational domains. However, challenges such as limited technological facilities and the need for teacher training still need to be addressed. This study also provides recommendations for educators and dance learning developers to integrate technology in harmony with appropriate pedagogical approaches.