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This study aims to analyze in-depth cognitive learning theory and its implications for improving the effectiveness of Islamic Religious Education (PAI) teaching at the elementary school level. The adopted methodological approach is qualitative through library research, with the application of content analysis and theoretical synthesis techniques. Primary data sources were obtained from academic literature including textbooks, scientific journals, and the latest empirical research relevant within the last decade. The results of the analysis indicate that cognitive learning theory positions cognitive processes as the core of learning activities, allowing students to function as active agents in constructing knowledge through understanding, analysis, memory representation, and integration with pre-existing cognitive schemas. In the context of PAI, this approach enables meaningful learning through interactive pedagogical strategies such as collaborative discussions, problem-solving, case studies, and metacognitive reflection, which are empirically adapted to the stages of students' cognitive development. The implementation of cognitive theory significantly contributes to strengthening conceptual understanding, increasing learning engagement, developing critical thinking skills, transferring knowledge, and internalizing Islamic values. Thus, cognitive learning theory makes a substantial contribution to optimizing the effectiveness of PAI teaching in elementary schools through an interactive, systematic, and understanding-oriented approach.

This study aims to explain the effectiveness of assessment in the learning process, focusing on improving student outcomes at SDN Larangan Tokol 1 Pamekasan. This research applies a qualitative methodology categorized as a descriptive study. Data collection was carried out through observation, interview sessions, and document analysis involving teachers and students at SDN Larangan Tokol 1 Pamekasan The findings of the study indicate that the implementation of learning process evaluation is conducted systematically and continuously through question and answer activities, daily assignments, group discussions, learning practice, daily tests, as well as the assessment of students’ attitudes and skills. Teachers use various strategies to improve the effectiveness of learning evaluation, such as the use of varied teaching methods, providing motivation, habituation of discipline, utilization of learning media, and the implementation of remedial and enrichment programs.Supporting factors for the effectiveness of learning evaluation include the support of the principal, teacher competence, parental support, and the availability of learning facilities. Meanwhile, the obstacles include differences in students’ learning abilities, lack of motivation among some students, and limited availability of certain learning media.The assessment of the learning process contributes effectively to improving students’ academic achievement, shaping discipline and responsibility character, as well as increasing students’ participation and collaboration in the ongoing learning process. Therefore, learning assessment plays a crucial role in creating an effective learning process and improving student achievement at SDN Larangan Tokol 1 Pamekasan.

The wave of digitalization triggers a severe morality crisis among the younger generation through constant exposure to negative content, cyberbullying, and global communication ethics degradation. This descriptive qualitative study aims to analyze the specific internalization of Christian values at GPIB Harapan Kasih Congregation Bekasi to shield youth morality amidst ongoing technological disruption. Employing intensive in-depth interviews and participatory observations, data were analyzed interactively through systemic reduction, structured display, and final verification. The results indicate that the digital morality crisis explicitly manifests as pornography normalization, virtual toxicity, and the severe erosion of academic honesty. In response, pastoral strategies utilizing highly contextualized digital ethics sermons and youth cell groups prove thoroughly effective. The deep internalization of self-control and integrity successfully stimulates a holistic self-censorship mechanism across the youth's cognitive, affective, and behavioral domains. This study concludes that consistent accountability-based mentorship effectively transforms Christian youth from passive digital victims into active agents of change within global cyberspace.

In contemporary legal systems, social conflict between the state and indigenous communities is a complicated matter, especially when it comes to the acknowledgement and defense of indigenous peoples' rights to land, natural resources, and cultural identity. Indigenous peoples' rights, which before the establishment of the modern state, are frequently disregarded by imbalances in official policies that prioritize development interests. In this context, legal reconciliation is a relevant approach to resolving these conflicts in a just and sustainable manner. Legal reconciliation emphasizes the integration of customary law into the national legal system and the harmonization of state policies and the interests of indigenous peoples to create a more inclusive legal order. The study of legal standards relevant to resolving disputes between the state and indigenous peoples is the main emphasis of this research, which employs a normative juridical approach. The approach used in this research includes an analysis of national legislation, international legal instruments related to indigenous peoples' rights, and relevant legal doctrines. Using a statute approach and a conceptual approach, this research explores how legal reconciliation can be implemented in resolving social conflicts. Furthermore, this research highlights the role of legal principles such as restorative justice, legal pluralism, and recognition of indigenous peoples' rights in developing more effective conflict resolution mechanisms. This analysis is expected to establish a strong legal foundation for promoting more inclusive and socially just legal policies for indigenous peoples.

Congestive Heart Failure (CHF) is a condition in which the heart is unable to pump blood adequately to meet the metabolic needs of the body. CHF is one of the most prevalent cardiovascular disorders globally, nationally, and locally, contributing to significant morbidity and mortality. This study aims to describe a comprehensive nursing care process applied to a patient (Mr. R) diagnosed with CHF at the Mawar 1 Ward of RSUD dr. Soeselo, Tegal Regency. This study used a descriptive case study design. Data were collected through interviews, physical examination, observation, and medical record documentation on February 9–11, 2026. Three nursing diagnoses were identified: ineffective airway clearance related to airway hypersecretion, fatigue related to physiological conditions (chronic disease), and knowledge deficit related to insufficient information exposure. Nursing interventions applied included airway management (semi-Fowler positioning, oxygen therapy, effective coughing technique), energy management (range-of-motion exercise, gradual activity), and health education about CHF. After 2×24 hours of nursing care, all three nursing diagnoses were resolved: airway clearance improved (SpO₂ increased from 91% to 95%, respiratory rate decreased from 28 to 23 times/minute), fatigue decreased, and patient knowledge about CHF improved. Systematic nursing care significantly improved the patient's condition in CHF management.

This study aims to describe gazebo management strategies as tourism infrastructure to increase visitor attraction at Pasir Putih Parparean II Beach, Porsea Subdistrict, Toba Regency. The beach is a unique destination in the Lake Toba area, characterized by fine white sand that is rarely found in the region. However, visitor data from the Toba Regency Tourism Office reveals a significant decline, from 35,304 visitors in January–April 2023 to only 1,550 visitors in January–August 2025. This decline is closely linked to the unplanned construction of permanent gazebos on the beach area, which has reduced the open space that constitutes the beach’s main attraction. This study employed a descriptive qualitative method. Data were collected through in-depth observation, semi-structured interviews, and documentation. The key informants consisted of three beach managers: Herbert Napitupulu, Nora Pandiangan, and Her Hutasoit, selected purposively based on their direct involvement and in-depth knowledge. Two regular tourists were also included as additional informants. Data analysis followed the Miles and Huberman model, encompassing data reduction, data presentation, and conclusion drawing. The results indicate that gazebo management strategie including facility improvements, environmental landscaping, and the provision of supporting amenities contribute significantly to enhancing visitor comfort and tourism appeal. This study recommends more systematic and planned management, spatial restructuring of gazebo placement, and the implementation of effective promotional strategies to support Pasir Putih Parparean II Beach as a sustainable tourism destination.

The effectiveness of zakat management within the educational sector plays a crucial role in improving mustahik welfare. This study aims to analyze the management of zakat by the School Zakat Management Unit (UPZ) at SMKN Pringkuku Pacitan in enhancing the well-being of its beneficiaries. Utilizing a descriptive qualitative approach, data were gathered through interviews, direct observations, and documentary reviews. The findings reveal that the zakat management mechanism has been structured systematically, encompassing collection, distribution, and mustahik classification based on the eight categories of asnaf. Specifically, professional zakat (zakat profesi) is collected via a 2.5% monthly salary deduction from civil servant (PNS) and government employee (PPPK) staff, while zakat fitrah is accumulated from all teachers, staff, and students. The allocated zakat funds are regularly distributed to underprivileged students, orphans, and the community residing around the school environment. This financial intervention is proven to yield a positive impact by supporting educational expenses, fulfilling daily basic needs, and boosting students' learning motivation. The implication of this study emphasizes that the school-based zakat management model holds significant potential to be replicated as an effective social empowerment instrument to secure student welfare.

Malware represents an evolving cybersecurity threat that demands more effective detection methods. Conventional signature-based detection systems have limitations in identifying new variants, driving the development of deep learning-based approaches. This research implements and evaluates four variants of the YOLOv11 algorithm (n, s, m, l) for malware classification based on visual image representation. The dataset consists of 22,056 malware and benign images, divided into 70% training, 15% validation, and 15% testing across 8 classes (adware, backdoor, benign, downloader, spyware, trojan, virus, worm). Each model was trained for 100 epochs with batch size 32 using Google Colab with GPU support. Results demonstrate that all variants achieve high accuracy (97.8%-98.1%) with YOLOv11m as the best performer (98.1%). YOLOv11n offers optimal balance between accuracy (97.9%) and efficiency (1.5M parameters, 0.3 ms/img inference) ideal for real-time applications. This research surpasses previous methods such as K-NN (97.18%) and hybrid CNN (96.55%) with superior inference speed (0.3-0.9 ms/img vs tens to hundreds of ms/img), proving the effectiveness of YOLOv11 for fast, accurate, and scalable malware detection.

This study investigates the implementation of the Gradient Boosting Machine (GBM) algorithm for network intrusion detection using the CICIDS2017 dataset within the CRISP-DM framework. The process encompasses Business Understanding, Data Understanding, and Data Preparation including data cleaning, categorical feature encoding, normalization, and data split (80 % training, 20 % testing). In the Modeling phase, GBM Hyperparameters (learning_rate = 0.1; max_depth = 5; n_estimators = 150) were optimized via Grid Search with 2-fold Cross Validation, and F1-Score  was selected as the primary metric due to class imbalance. Evaluation on the test set yielded accuracy of 99.99 %, precision of 100 %, Recall of 99.98 %, and F1-Score  of 99.99 %, demonstrating exceptional detection capability with minimal false negatives and false positives. Compared to previous studies, this GBM model outperforms in accuracy and stability without overfitting. These findings confirm GBM’s effectiveness for modern Intrusion Detection Systems and its suitability for Deployment in resource-constrained operational environments.

Batik motif classification has attracted growing attention in visual computing due to its role in cultural heritage preservation, textile informatics, museum documentation, and automated cataloging. Although many studies report high classification accuracy, robustness under real-world acquisition conditions remains insufficiently understood. Batik images are frequently affected by illumination variation, blur, folds, watermark overlays, wearable deformation, scale inconsistency, and background clutter, creating challenges that extend beyond conventional image-noise assumptions. Existing studies largely focus on improving classification performance, while the interactions among acquisition variability, feature representation, evaluation practice, and deployment constraints remain fragmented. This systematic literature review addresses this gap by synthesizing batik classification research through a robustness-aware perspective. Using query expansion, backward and forward citation chaining, relevance screening, and thematic coding, 116 candidate records were identified, resulting in 50 highly relevant studies for detailed analysis. The review reveals that robustness is shaped less by denoising alone than by the combined effects of acquisition conditions, representation design, evaluation realism, and deployment context. Handcrafted descriptors remain competitive for small datasets and structured motifs due to their data efficiency and interpretability, whereas deep learning models achieve the highest reported accuracy when supported by sufficient data diversity and realistic augmentation. Hybrid representations emerge as the most consistently balanced approach, combining local texture stability with higher-level abstraction across heterogeneous acquisition settings. The review further identifies recurring robustness failure patterns, including background dependency, illumination instability, motif-scale inconsistency, wearable deformation, and source-shift vulnerability. Based on these findings, a robustness-oriented research agenda is proposed, emphasizing cross-acquisition evaluation, representation-stability analysis, batik-specific robustness benchmarks, acquisition-aware augmentation, and deployable lightweight or hybrid architectures. The study contributes a domain-specific synthesis that reframes batik motif classification from an accuracy-centric task toward a robustness-aware visual recognition problem.

The thesis supervision process in higher education institutions is still frequently conducted manually, which may lead to inefficiencies in recording supervision data. This study focuses on the development and implementation of a web-based thesis supervision attendance application designed to facilitate attendance documentation, supervision session administration, and systematic monitoring of thesis supervision history. The methodology applied in this study is the Waterfall model, which includes the phases of requirements analysis, system design, implementation, and testing. The application was developed using the Laravel framework and a MySQL database. The system design was modeled using Unified Modeling Language (UML), while the validation process was conducted through Black Box Testing techniques. The research findings indicate that the developed application is capable of performing real-time supervision attendance recording, managing supervision information, and generating attendance reports effectively and efficiently. It can be concluded that the web-based thesis supervision attendance application improves the efficiency and accuracy of supervision record management and supports a more effective thesis supervision monitoring process..

Digitalization in the fitness industry is increasingly essential to improve efficiency and service quality. However, many fitness centers still manage data manually, including KRESNA GYM, which faces challenges in member registration, workout scheduling, and facility information delivery. This study aims to design a web-based e-fitness application using the Laravel framework to support digital service management. The development follows the Waterfall model through stages of requirement analysis, design, implementation, testing, and evaluation. The application includes features such as a landing page, admin/member login and registration, management dashboards, workout schedules, equipment guides, and supplement listings. Black-box testing confirms that all features function as expected. This system simplifies administrative processes and enhances member experience, making it effective in supporting digital transformation at KRESNA GYM.

This study was conducted to analyze the relationship between students’ critical thinking skills and mathematical problem-solving abilities through a literature review approach. The study is based on the importance of mastering higher-order thinking skills in the mathematics learning process, particularly when students are faced with complex problems related to real-life situations. The method used in this research was a literature review by examining various relevant scientific journals and academic books published between 2021 and 2026. The data analysis process was carried out through stages of identification, classification, evaluation, and synthesis of the collected sources. The findings revealed a significant and positive relationship between critical thinking skills and students’ mathematical problem-solving abilities. Critical thinking skills play an important role in helping students understand problems, process and analyze information, select appropriate solution strategies, and systematically review the results obtained. Students with strong critical thinking skills generally demonstrate more optimal mathematical problem-solving abilities. In addition, the implementation of learning models such as Problem-Based Learning and contextual approaches has been considered effective in improving both abilities. Therefore, critical thinking skills are regarded as an essential aspect that needs to be developed in mathematics learning in order to enhance students’ mathematical problem-solving abilities.

This study examines the transformation of financial management through the implementation of digital accounting in PPOB (Payment Point Online Bank) businesses, which still face manual recording problems such as input errors, delayed reconciliations, and data discrepancies. The research used a descriptive qualitative method with a case study approach involving PPOB agents in Sidoarjo. Data were collected through observation, interviews, and documentation. The findings show that digital accounting significantly improves operational efficiency through automated transaction recording, real-time data integration, and faster as well as more accurate reconciliation processes. In addition, features such as automatic validation, API integration, and audit trails help minimize recording errors and maintain data consistency. The implementation of digital accounting also supports transparency and improves the quality of financial information used in decision-making. Although challenges remain regarding agents’ technological understanding and infrastructure readiness, overall implementation has provided positive impacts on financial management effectiveness and business operations in PPOB services, making processes more efficient, accurate, and reliable.

Indonesia’s Free Nutritious Meal Program (MBG) requires an efficient and adaptive supply chain system to ensure timely distribution, cost efficiency, and adequate nutritional delivery for a large number of beneficiaries. However, conventional supply chain approaches are generally static and unable to respond effectively to dynamic demand, supply uncertainty, and logistical constraints. This study proposes a Multi-Objective Reinforcement Learning (MORL) model to optimize the MBG supply chain by simultaneously considering distribution cost, delivery timeliness, service level, nutritional adequacy, and food waste reduction. The model is developed using a simulation-based environment representing real-world supply chain conditions, including demand variability, transportation limitations, and kitchen capacity constraints. The results show that the proposed approach achieves cost reductions of 15–22%, improves delivery timeliness by 18–25%, maintains a service level above 90%, increases nutritional fulfillment by 12–18%, and reduces food waste by 10–15% compared to baseline methods. Sensitivity analysis further demonstrates the robustness of the model, with minimal performance degradation under disruption scenarios. These findings indicate that Reinforcement Learning provides a scalable and adaptive solution for optimizing large-scale public food distribution systems. The proposed model contributes both theoretically by integrating multi-objective optimization within an RL framework and practically by supporting data-driven decision-making for improving the effectiveness of the MBG program in Indonesia.

This study aims to map the trends, integration forms, effectiveness, and contribution of ethnomathematics in elementary school mathematics learning toward national cultural preservation. A systematic literature review (SLR) approach following the PRISMA 2020 protocol was employed. Searches across four academic databases (Scopus, Google Scholar, CrossRef, and Semantic Scholar) yielded 1,176 articles, from which 30 articles met the inclusion criteria. Results indicate that ethnomathematics research in elementary schools has increased significantly during 2023–2026, particularly following the implementation of Kurikulum Merdeka. The three most dominant forms of integration are digital modules and media (53.3%), traditional games (33.3%), and ethnomathematics-based worksheets (13.3%). Geometry and measurement is the most researched mathematics topic (50.0%), and conceptual understanding shows the most significant improvement (40.0%). Beyond improving mathematics achievement, ethnomathematics integration contributes to cultural preservation through cultural contextualization in learning (60.0%), strengthening cultural identity and values (26.7%), and active local cultural preservation (10.0%). The study recommends teacher training, curriculum policy strengthening, cross-sector collaboration, and further research to sustain ethnomathematics implementation in Indonesian elementary schools.

TPS 3R is a community-based waste management approach aimed at reducing waste generation through reduce, reuse, and recycle activities. However, the operational sustainability of TPS 3R still faces several challenges,including  waste processing effectiveness, and community participation. This study aims to analyze the community’s Willingness to Pay (WTP) for waste management fees and to formulate priority recommendations for improving the performance of TPS 3R Banjar Sugihan using the Quality Function Deployment (QFD) method. The research was conducted in Banjar Sugihan Village, Tandes District, Surabaya City, involving 563 household respondents. WTP analysis was carried out using the bidding game method, while QFD analysis was conducted through the preparation of the House of Quality (HoQ). The results showed that the community’s WTP ranged from IDR 16,000 to IDR 19,000 per month. If applied to all 3,758 households in Banjar Sugihan Village, the potential retribution revenue is estimated to reach IDR 60,128,000–IDR 71,402,000 per month. The QFD analysis indicated that the priority strategies for improving TPS 3R performance include enhancing infrastructure facilities, optimizing waste sorting and processing, increasing waste processing capacity, strengthening human resource capacity, and implementing a WTP-based retribution system. Therefore, the implementation of a WTP-based retribution system and priority strategies derived from QFD analysis are expected to support the sustainability of waste management at TPS 3R Banjar Sugihan.

In the Education 4.0 era, schools face unprecedented challenges in managing teacher performance effectively. Traditional top-down performance management systems have proven inadequate for fostering continuous professional growth, intrinsic motivation, and adaptive teaching competencies required in increasingly technology-driven learning environments. This study aims to develop, validate, and assess the effectiveness of a School-Based Performance Management (SBPM) model designed to enhance teacher effectiveness across cognitive, affective, and pedagogical dimensions. Using a Research and Development (R&D) design following the ADDIE framework, the study was conducted in three phases: needs analysis, model development, and model validation. Participants included 12 school principals, 186 teachers, and 8 education experts from 24 public secondary schools in [Province, Country]. Validation by experts yielded a content validity index (CVI) of 0.91. Implementation resulted in statistically significant improvements in teacher effectiveness scores (t = 8.74, p < 0.001, Cohen's d = 1.23), digital pedagogy competency (mean increase = 22.4%), and student learning outcomes (mean improvement = 17.8%). The SBPM model provides a contextually responsive, evidence-based framework that empowers schools to manage teacher performance collaboratively, fostering professional accountability and sustainable instructional quality in Education 4.0.

Educational planning management is an essential process in managing educational institutions to achieve educational goals effectively and efficiently. One form of implementing educational planning management is through the preparation of the Madrasah Work Plan (RKM) and School Work Plan (RKS). This article aims to describe the concept of educational planning management through the preparation of RKM/RKS, their objectives, preparation processes, and implementation in schools and madrasahs. The research method used is library research with a qualitative descriptive approach by collecting data from books, scientific journals, government regulations, and other supporting documents. The results of the study indicate that RKM/RKS has a strategic role as a guideline for implementing educational programs, a basis for decision-making, an evaluation tool, and an instrument for improving the quality of education. The preparation of RKM/RKS is carried out systematically through team formation, school/madrasah self-evaluation, formulation of priority programs, preparation of medium-term and annual work plans, and budgeting plans. Proper implementation of RKM/RKS can improve the effectiveness of educational management, accountability, transparency, and the quality of educational services in schools and madrasahs.

Parental violence against children constitutes a serious violation of their human rights, as guaranteed by Article 5 of the 1948 Universal Declaration of Human Rights and Article 19 of the 1989 Convention on the Rights of the Child. It is also contrary to Indonesia’s family law system, as set out in Law No. 35 of 2014 on Child Protection. This study aims to analyse the forms of such violence and formulate a holistic, restorative strategy to restore children’s human rights. Using a normative-empirical approach involving the analysis of legal documents, court rulings and 2023 data from the National Commission on Violence Against Women (Komnas Perempuan), which recorded 45,000 cases annually (60% of which involved parents as perpetrators), it was found that effective strategies include medical and psychological rehabilitation via P2TP2A and TF-CBT, and restorative justice through mediation under Supreme Court Regulation (Perma) No. 4 of 2019. Socio-economic support, such as the PKH programme, is also crucial. The main obstacles are patriarchal culture and a regulatory vacuum regarding the KHI. The conclusion emphasises the need for cross-sectoral commitment and makes recommendations including the introduction of mandatory parental counselling, prioritisation of court mediation, sub-district recovery units and large-scale public awareness campaigns. This study contributes to the strengthening of child protection within Indonesian family law.