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Fly ash and bottom ash (FABA) are combustion residues from coal-fired power plants. Following the issuance of Government Regulation No. 22 of 2021, FABA is no longer classified as hazardous and toxic waste (B3). However, FABA must still be managed properly due to its potential to cause pollution through leachate generated if leaks occur in the FABA disposal area. This study evaluates the lining and drainage systems in the FABA disposal area at PT. PLN Nusantara Power UP Paiton to ensure that leachate does not contaminate surrounding groundwater. The research employs descriptive qualitative and quantitative methods, collecting secondary data to assess the structure and pollution control systems in the FABA disposal area at PT. PLN Nusantara Power UP Paiton. The data includes the disposal area structure and water quality from monitoring wells. Analysis results indicate that the FABA disposal area lining system operates effectively and in compliance with regulations, successfully containing leachate movement and preventing seepage. This is supported by pH, Fe, Hg, and turbidity levels in groundwater from monitoring wells remaining within safe limits. Additionally, the presence of a runoff pond helps contain surface runoff during heavy rain, keeping overflow water under control. Overall, the disposal area structure and leachate management system at PT. PLN Nusantara Power UP Paiton function well, but routine monitoring must continue to ensure no seepage occurs, preventing leachate from contaminating the surrounding environment as an early preventive measure to maintain environmental quality and regulatory compliance.

The implementation of the Standard Inpatient Class (KRIS) policy presents challenges for hospitals in ensuring equitable service delivery. Organizational readiness depends not only on adequate physical infrastructure but also on an adaptive organizational culture and strong clinical leadership to guide change. As a referral hospital, RS BM must ensure alignment across organizational components to meet KRIS standards sustainably. This study analyzes the influence of infrastructure quality and clinical leadership on organizational readiness for KRIS implementation, with organizational culture as an intervening variable. A quantitative cross-sectional design was used, involving 136 healthcare and medical personnel working in the inpatient units of RS Bhakti Mulia. Data were collected through structured questionnaires and analyzed using Structural Equation Modeling–Partial Least Square (SEM-PLS) to examine relationships among variables. Infrastructure quality and organizational culture significantly and positively affect organizational readiness. Clinical leadership, while not directly influencing readiness, has a significant positive effect on organizational culture. KRIS readiness at RS BM is shaped by infrastructure quality, clinical leadership, and organizational culture, with culture acting as the main mediator. The hospital shows strong readiness but still faces gaps in progress monitoring, inpatient room layout and privacy, leadership direction, and team participation. Strengthening monitoring mechanisms, improving room design according to KRIS standards, enhancing clinical leadership capacity, and fostering a collaborative organizational culture are essential to support comprehensive and sustainable KRIS implementation

In the 21st century learning era that demands the integration of 4C skills and digital literacy, the textbook Akidah Akhlak Class IV MI based on the 2019 KMA 183 Curriculum needs to be evaluated for its suitability to be relevant in shaping students' Islamic character. This study aims to analyze the suitability of the book's content, presentation, language, and graphics according to BSNP standards, with a focus on the strengths of active learning and the weaknesses of technology integration such as QR codes and science-technology interconnections. The descriptive qualitative method through library research uses the 2020 Kemenag textbook by Subkhiaton Noor as primary data, supported by BSNP instruments and comparisons with other books. The results show that the book is very suitable overall: very good content suitability (accurate material, relevant KI-KD, supports 4C through discussion and reflection), good presentation (systematic structure, HOTS-LOTS, glossary), good language (communicative, appropriate to students' cognition), graphics pass with minor improvements in visual consistency, so it is effective for contextual learning even though it needs additional digital features.

Adolescent girls' adherence to taking iron tablets is still lacking, iron intake is very important to prevent anemia. Based on the 2018 Riskesdas, the coverage rate of iron tablets is 76.2%, but the awareness of adolescent girls of the importance of preventing anemia by consuming iron tablets is still low. One way to increase compliance with taking blood supplement tablets is by utilizing peer group education. This study aims to determine the effect of peer group education in an effort to increase adherence to taking blood tablets for adolescent girls. This is a quantitative pre-experimental study using One-Group Pretest-Posttest Design. The population was all students of class XI SMAN 1 Godean. Simple random sampling technique with a sample size of 58 female students. Education time was 40 minutes with peer educators in each group. Data analysis using the Wilcoxon test with the results of compliance with iron tablet consumption before education in adolescent girls at SMA Negeri 1 Godean in the category of non-compliant as many as 51 people (87.9%) and compliant as many as 7 people (12.1%), compliance with iron tablet consumption after education has increased in the category of compliant as many as 16 people (27.6%) and non-compliant as many as 42 people (72.4%). In the Wilcoxon Test, the results obtained p = 0.013, therefore it was concluded that there was an effect of peer group education on increasing compliance with blood supplementation tablet consumption in adolescent girls of SMA Negeri 1 Godean.

This article investigates how Islamic Education teachers implement their professional competence in managing learning at a public Islamic senior secondary school in North Maluku, Indonesia. Teacher competence is understood as a multidimensional construct that includes pedagogical, professional, personal, social, and spiritual dimensions and is expressed through lesson planning, classroom instruction, and learning assessment. Using a qualitative naturalistic design, data were collected through participant observation, in depth interviews with teachers, school leaders, and students, and documentation of lesson plans and institutional records. The findings show that lesson planning is carried out consistently and aligned with the curriculum, but the depth and creativity of plans vary between teachers, with some documents remaining largely administrative. In classroom instruction, teachers demonstrate sincere efforts to create a conducive learning climate, connect Islamic teachings with students daily lives, and encourage participation, although limited use of educational technology, differences in student engagement, and classroom management challenges constrain the consistency of instructional quality. Assessment practices employ diverse techniques to evaluate cognitive, affective, and psychomotor domains, yet the systematic use of formative and authentic assessment is still uneven due to workload and time pressures. Supporting factors include institutional backing through workshops and subject teacher forums, supportive leadership, adequate facilities, and teacher experience, while inhibiting factors comprise internal limitations in instructional design, external constraints related to technology and student diversity, and structural administrative demands. Overall, the study offers an integrated and context specific picture of how competence in learning management contributes to students understanding, motivation, and religious character.

The application of Mastery Learning in Olympiad mentoring at Darussalam Islamic Junior High School was carried out using a classroom action research model involving 20 students from grades 8 and 9. The mentoring process followed a cyclical structure consisting of planning, action, observation, and reflection, supported by observation techniques, tests, and documentation. The implementation of the mastery learning model effectively improved students’ mathematics learning outcomes, as shown by a significant increase in mastery levels: 65% before the intervention, 75% after the first cycle, and 90% after the second cycle. In addition, the average learning score rose from 71 in the first cycle to 87 in the second cycle, reflecting substantial progress in understanding and problem-solving abilities. These results indicate that Mastery Learning not only enhances students’ mathematics performance but also strengthens their readiness and confidence to compete in the National OSN competition, demonstrating the model’s positive contribution to academic achievement and Olympiad preparation.

This study investigates the implementation of the PAIKEM Gembrot model to enhance the literacy, numeracy, and creativity of fifth-grade students at UPT SDN Unjuruiya No. 45 in the Selayar Islands. Using a two-cycle classroom action research design—comprising planning, action, observation, and reflection—data were collected through tests, observations, and documentation to obtain comprehensive information on both learning processes and outcomes. In Cycle I, only 40% of students met the mastery criteria, largely due to their initial adjustment to the new learning approach and limited engagement in collaborative activities. After refining instructional strategies in Cycle II, including the use of more varied learning activities, concrete and contextual learning media, structured group discussions, and closer teacher guidance, student learning outcomes improved dramatically, with 100% of students achieving mastery. In addition, students showed increased participation, confidence, and motivation during classroom interactions. These results demonstrate that PAIKEM Gembrot effectively strengthens students’ abilities to comprehend information, apply numerical reasoning, and express creativity through active and meaningful learning experiences. Therefore, the PAIKEM Gembrot model serves as a promising and contextually relevant alternative for improving elementary science learning, particularly in island-based schools with limited educational resources.

In the learning process, educators often face challenges in helping students achieve optimal learning outcomes. One of the contributing factors is the dominance of teacher-centered learning models, which frequently leads to low student engagement and reduced motivation. This condition affects students’ curiosity, particularly in Science learning, which requires active participation and exploration. Therefore, innovative teaching materials are needed to encourage student involvement while simultaneously stimulating their curiosity. One alternative that can be utilized is the Student Worksheet (Lembar Kerja Peserta Didik/LKPD), which can be designed systematically and contextually to support active learning. This study aims to determine the effectiveness of using LKPD in enhancing students’ curiosity in Grade VII Science learning at SMPN 1 Sanrobone. The research employed a Classroom Action Research (CAR) approach carried out in two cycles, each consisting of planning, implementation, observation, and reflection stages. The findings indicate a significant increase in students’ curiosity after the implementation of LKPD, as shown by improvements in questioning behavior, interest in the material, and the ability to observe and explore scientific phenomena. Based on these results, it can be concluded that the use of LKPD is effective in fostering students’ curiosity and contributes to a more interactive and meaningful Science learning experience.

The rapid development of digital technology requires teachers to possess competencies that are relevant to modern learning needs. This necessity underlies the focus of this community service program, namely transforming teacher competencies through character-based learning innovation supported by Artificial Intelligence (AI). The program was conducted at Madrasah Tsanawiyah Nurul Huda Muaro Jambi with the aim of strengthening teachers’ skills in utilizing AI as a tool to support interactive learning while instilling character values in students. The method included socialization, training, and direct mentoring in the practical application of AI-based learning media in the classroom. The results showed significant improvements in teachers’ ability to design technology-based learning materials, a better understanding of integrating character education, and increased motivation to innovate. Furthermore, the program fostered a more engaging learning atmosphere aligned with the needs of the digital generation. Therefore, the transformation of teacher competencies through AI not only enhances teacher professionalism but also plays a crucial role in shaping students with strong character amid technological advancement.

This research presents the development of the Rembulan E Learning platform using Moodle as the primary Learning Management System for SMK Negeri 1 Pandeglang.The main objective is to provide a structured, accessible, and interactive digital learning environment that effectively supports teaching and learning activities, enhances student engagement, and facilitates teacher management of course materials. The study applies the Waterfall development model, which includes five stages requirement analysis, system design, implementation, testing, and deployment. Data collection methods involve observation of classroom practices, in depth interviews with teachers to identify pedagogical and technological needs, and comprehensive documentation review to ensure alignment with curriculum standards and user expectations. The resulting system integrates features such as digital classrooms, learning modules, assignments, discussion forums, quizzes, and student performance monitoring, offering a comprehensive digital learning experience. System testing was conducted using Black‑box Testing, complemented by limited user trials with teachers and students, which confirmed that the platform is functional, user friendly, and capable of supporting a variety of learning activities. This research contributes to the implementation of Moodle based LMS development in vocational schools, providing practical guidance for improving digital learning quality, promoting blended learning approaches, and facilitating sustainable adoption of educational technology in secondary education.

This classroom action research investigates the effectiveness of the Round Robin cooperative learning model in improving the motivation and creativity of learning science among Grade IV students at UPT SDN Unjuruiya No. 45, Selayar Islands. The study was conducted to address students’ low engagement, limited participation, and insufficient creative expression during IPAS lessons. The research involved 12 students (6 male and 6 female) and was implemented in two cycles, each consisting of three meetings—two for instructional activities and one for assessing learning creativity. Data were collected through observation, learning motivation assessments, and creativity evaluations. Findings indicate a significant improvement in student learning outcomes following the implementation of the Round Robin model. In Cycle I, only 5 students (42%) achieved the creative category, while 7 students (58%) remained in the non-creative category. However, after refinement and continued application in Cycle II, the number of students achieving the creative category increased substantially to 11 students (92%), leaving only 1 student (8%) in the non-creative category. These results demonstrate that the Round Robin model effectively enhances student motivation, encourages active participation, and supports the development of creativity in science learning. Overall, the study concludes that cooperative learning through Round Robin provides a meaningful and engaging instructional alternative capable of improving both motivational and creative learning aspects in elementary science classrooms.

One of the skills in facing global challenges in the application of 21st century skills is critical thinking skills in solving problems with a scientific attitude (Eka et al., 2020) critical thinking skills enable them to be able to face complex situations and make wise decisions. The application of case-based learning can be a learning solution including in learning with limited meetings in class because it is oriented towards developing critical thinking skills in solving cases. This study uses a descriptive-analytical library research method, where data is collected from various library sources such as books, journals, and scientific articles. This research is a qualitative descriptive type that relies on analysis to determine, interpret, and clarify the data or information collected. This method aims to obtain an overview of the Case Method Learning Design on Halal Haram Material in the Al-Qur'an Hadith Subject of Class XII Madrasah Aliyah at Dayah Modern Ihyaaussunnah Lhokseumawe. This study successfully designed a case-based learning method as an innovative approach in teaching the Qur'an and Hadith on the topic of Halal and Haram in grade XII of Madrasah Aliyah. However, the implementation of this method also faces challenges such as the need for teacher readiness in designing and moderating cases, limited class time, and variations in students' abilities in analyzing cases

Bintan Island has abundant bauxite soil resources; however, its utilization as road construction material remains limited. The scarcity of high-quality granular material in the region necessitates the use of available local resources, particularly for pavement subgrade layers. This article aims to analyze the classification and mechanical properties of native soils in Bintan Island through a systematic literature review. The reviewed literature includes laboratory test results of bauxite soil. The findings indicate that bauxite soil exhibits low plasticity, relatively high CBR values (±35%), and is classified as CL (USCS) and A-2-4 (AASHTO). These results suggest that bauxite soil is suitable for subgrade applications, although require stabilization with binding agents. The implication of this review highlights that the utilization of local materials could support sustainable infrastructure development in island regions by reducing dependency on imported materials.  

Guaranteeing the geotechnical stability of slopes is an absolute prerequisite for the sustainability of open pit mining operations, considering the potential for multidimensional losses due to slope failure. The specific geological conditions at PIT B1 PT. Pancaran Surya Abadi, which is composed of sedimentary rocks (coal, sandstone, and claystone), are susceptible to degradation and softening, especially due to high rainfall that causes an increase in pore water pressure and a decrease in rock shear strength. This study aims to analyze the stability of highwall slopes using the Morgenstern-Price Method to determine the Safety Factor (SFF) value according to Ministerial Decree number 1827 K/30/MEM/2018, and continued with a semi-quantitative risk analysis. The analysis results show that the initial slope has a static SFF of 0.77 (Not Safe). After redesign, the recommended optimal single slope geometry is: sandstone (Height 5 m, Angle 20°, Berm 5 m) and claystone (Height 10 m, Angle 60°, Berm 5 m). This redesign resulted in a FK of 1.34 (Safe). Sensitivity analysis to groundwater level rise (GTL) showed that the GTL value remained safe (GTL ≥1.30) up to a 30% increase in GTL. However, a 40% to 80% increase in GTL caused the GTL to decrease (1.28–1.21), classified as Medium Risk. A 100% increase in GTL drastically reduced the GTL to 1.05, classified as High Risk. This study emphasizes the need for close monitoring and additional drainage to maintain the long-term stability of slopes under the influence of rainfall.  

This study aims to evaluate the effectiveness of the Artificial Intelligence-Based Learning Media Development Program (P3MP-AI) in enhancing teachers’ technological and pedagogical competencies at SMK Muhammadiyah 2 Malang. The program employed a descriptive approach using both quantitative and qualitative methods, including pre-test and post-test assessments, as well as direct observation of the training process. A total of 30 teachers from various disciplines actively participated in the program conducted on August 12, 2025. The evaluation results revealed an increase in the participants’ average scores from 100 to 130 out of a maximum of 150, indicating a significant improvement in their understanding of AI concepts and applications in education. Beyond competency enhancement, the training also fostered teachers’ confidence, creativity, and ability to integrate AI-based tools into interactive learning media. However, several challenges were identified, such as limited technological resources and time constraints in classroom implementation. Overall, this program has made a tangible contribution to strengthening teachers’ digital literacy and can serve as a replicable professional development model for other vocational schools seeking to advance AI-based educational transformation.

This study aims to analyze the influence of terminal users’ perceptions on business development opportunities at Mangkang Type A Terminal, Semarang City, managed by the Central Java Class I Transportation Management Agency (BPTD). As a major transportation hub, the terminal functions not only as a passenger transit point but also as a strategic economic area with potential for commercial facility development. However, the utilization of business opportunities at Mangkang Terminal remains suboptimal, necessitating an evidence-based analysis of the factors that shape these opportunities. This research employs a quantitative approach using a survey method involving terminal users, including passengers, public transport drivers, and terminal visitors. Data were collected using a Likert-scale questionnaire and analyzed through multiple linear regression to examine the influence of user perceptions on business potential, which includes interest in facility usage, demand for additional services, and preferences for commercial space utilization. The findings indicate that perceptions related to comfort, safety, cleanliness, accessibility, and service quality significantly affect business development opportunities. Comfort and service quality emerge as the most dominant factors driving user interest in commercial facilities. These results emphasize that improving terminal service quality can serve as an effective strategy to expand business opportunities and enhance non-tax revenue.

The rapid growth of digital financial technology has introduced new economic instruments that require re-evaluation through the lens of Islamic economic law, one of which is Bitcoin. This study aims to analyze the legal standing of Bitcoin as a means of transaction and investment using a normative legal approach. Data were obtained through extensive literature review involving primary and secondary sources, including Islamic jurisprudence, maqāṣid al-sharī‘ah, qawā‘id fiqhiyyah, official fatwas, and contemporary technological and economic studies. The analysis employed normative and reconstructive methods to assess the compatibility of Bitcoin’s characteristics with the principles of Islamic law. The findings indicate that Bitcoin may be classified as a form of digital māl because it possesses utility, can be lawfully owned, and is tradable within open market mechanisms. However, its extreme price volatility, limited public acceptance, and absence of state-backed legitimacy make it unsuitable as a lawful medium of exchange in Islamic transactions. Conversely, Bitcoin may be permitted as an investment instrument under strict conditions, provided the activity avoids speculative motives, ensures transparency, and follows prudent financial conduct. Based on these assessments, this study concludes that Bitcoin is more appropriately categorized as a digital commodity rather than a transactional currency. This research contributes conceptually to the development of sharia-compliant crypto-asset regulations and opens avenues for further exploration on designing more stable and ethically aligned digital financial instruments.

The performance of the Indonesian National Team (Timnas) in the 2026 World Cup qualifications has triggered massive and diverse responses on social media, particularly on platform X. This study aims to identify and classify public sentiment regarding Timnas Indonesia's performance into positive, negative, and neutral categories using a data mining approach. Text data was processed through pre-processing stages, term weighting using TF-IDF, and the application of the Synthetic Minority Over-sampling Technique (SMOTE) to address significant class distribution imbalance. The classification algorithm employed was Multinomial Naïve Bayes. Model performance evaluation was conducted by comparing two training-testing data split scenarios: 90:10 and 80:20 ratios. The results indicate that public opinion is dominated by negative sentiment at 73.2%, reflecting public disappointment. In terms of model performance, the 90:10 ratio scenario yielded the best accuracy of 80%, outperforming the 80:20 ratio which recorded an accuracy of 75%. These findings demonstrate that combining Multinomial Naïve Bayes with the SMOTE technique is effective in handling imbalanced text data and is capable of accurately mapping public perception.

Crime, an unlawful act that contradicts ethics and norms, has now become a primary factor for the police in Lampung province. This presents a challenge for the police institution in predicting high crime rates. However, there are still many crimes that have not become the main focus of problem-solving at the Lampung Regional Police.This research aims to identify the types and criminal acts of crime with the highest recorded incidence in a crime dataset by performing classification using the Naïve Bayes algorithm. The data was obtained from investigators at the Directorate of General Criminal Investigation of the Lampung Regional Police, with a total of 12,034 JTP (Total Criminal Acts) and 7,518 PTP (Crime Resolution) data points for each type of crime, distributed across the Regional Police, City Police, and District Police throughout Lampung province. The classification process using the Naïve Bayes algorithm reveals the relationship between the work unit (Satker) and the type of crime handled, thereby identifying crime patterns based on the location where they are handled. The results of the research, which involved converting numerical data into binomial (binary) form using the "Numerical to Binominal" feature in Rapid miner, show that the analysis and modeling process, especially in algorithms like Naïve Bayes or decision trees, is more effective when using data in a binary format. Thus, the initial dataset can be visualized in the form of a , with the size of the text varying according to the level of each high-incidence crime; the larger the text, the more frequently or significantly the crime occurred or was reported. The application of this method can help in identifying patterns, dominant trends, and areas of focus for more targeted law enforcement efforts or crime prevention policies.

This study aims to analyze the factors that influence students' interest in continuing their education to college using a machine learning approach. Data was collected through an online questionnaire completed by 727 students between July 27 and August 22, 2025, covering 23 variables consisting of respondent identity (gender, grade level, major) as well as internal and external factors such as parental support, learning motivation, and preferred type of college. The data preparation stage was carried out through column cleaning, deletion of empty data, encoding of categorical variables, and division of the dataset into 80% training data and 20% test data. The Naive Bayes algorithm of the CategoricalNB type was used because it was suitable for the categorical nature of the data. The evaluation results showed that the model was able to predict student interest with 96% accuracy. For the class of students interested in continuing their studies, the precision, recall, and F1-score values were above 0.95, while the performance in the class of students who were not interested was slightly lower due to the smaller amount of data. These findings show that Naive Bayes is proven to be effective and reliable in classifying students' interest in continuing their studies and can be the basis for decision-making in designing more targeted educational strategies.