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The rapid population growth in urban areas has caused various complex problems, such as congestion, air pollution, and the high use of private vehicles, so that it becomes a challenge in realizing sustainable cities and settlements. Public transportation is present as one of the solutions in overcoming these problems because it can increase community mobility and reduce negative impacts on the environment. This study aims to analyze the implementation of Mass Rapid Transit (MRT), Light Rail Transit (LRT), TransJakarta, and Electric Rail Trains (KRL) in supporting the achievement of SDGs 11 Sustainable Cities and Settlements. This study uses a descriptive qualitative method with a literature study approach. The results show that the MRT and KRL contribute to efforts to reduce carbon emissions and congestion, TransJakarta excels in the aspect of cost affordability while the LRT plays a role in improving urban connectivity efficiently. Thus, public transportation palas an important role in realizing sustainable cities and settlements with the integration between modes of public transportation which is the main factor in supporting the achievement of SDGs 11 optimally.

This study is grounded in the observation that online game addiction has emerged among learners at SMP Muhammadiyah Bantul. In the present digital era, playing games through the internet has become tightly woven into adolescents' everyday routines. Easy accessibility together with the broad spectrum of entertainment provided has pushed the popularity of online games upward. However, immoderate engagement may foster addictive patterns that adversely affect students' academic performance, social interaction, physical condition, and mental well-being. Hence, a workable intervention is required to lower the level of dependence. The purpose of this research is to decrease learners' online game addiction by means of group counseling services that draw on the Cognitive Behavioral Therapy (CBT) framework combined with cognitive restructuring techniques. A one-group pretest-posttest experimental scheme was adopted in this work. The findings reveal a notable reduction in the students' online game addiction scores, evidenced by the paired sample t-test significance value (two-tailed) of 0.000, which falls below 0.05. It can therefore be inferred that group counseling rooted in the Cognitive Behavioral Therapy approach with cognitive restructuring techniques is effective for reducing online game addiction in seventh-grade learners at SMP Muhammadiyah Bantul.

This study examines the transformation of business education curricula in response to the rapid expansion of the digital economy. The increasing integration of artificial intelligence, big data analytics, cloud computing, and digital platforms has significantly reshaped industrial demands and professional competencies. Using a qualitative research approach and content analysis, this study explores the challenges and strategic opportunities associated with curriculum transformation in higher education institutions. The findings reveal that universities face critical challenges related to technological infrastructure, faculty readiness, curriculum relevance, and industry alignment. However, digital transformation also provides opportunities for interdisciplinary learning, experiential education, global collaboration, and technology-driven innovation. The study emphasizes the importance of adaptive leadership, faculty development, industry partnerships, and student-centered pedagogies in supporting sustainable curriculum reform. Ultimately, transforming business education curricula is essential for preparing graduates with digital competencies, critical thinking abilities, and innovative skills necessary to compete effectively in the global digital economy.

Based on the current existing conditions, Perumnas IV frequently experiences challenges in both the maintenance of its facilities and infrastructure and the perception of its residents. This study aims to: 1) Determine the morphology and typology of the Perumnas IV Padang Bulan area, 2) Determine the level of feasibility of the infrastructure based on SNI 03-1733-2004, and 3) Determine public perception of the infrastructure based on existing conditions and research analysis results. The research method used by the author in this study is a mixed method using an Explanatory Sequential Design approach and a comparative approach. The difference in feasibility percentages between SNI and public perceptions explains that residents have become accustomed to living with the existing facilities and infrastructure, so that the suitability between existing conditions and applicable technical requirements is not a problem in daily life.

The study examines the symbolic meaning of the “Bread of Life” in John 6 through an exegetical-theological approach, using intertextual and narrative-semiotic perspectives. It uncovers the dynamics of Johannine Christological revelation, which moves from miracle as sign, through theological discourse, and culminates in the sacramental understanding of the Eucharist. The Gospel of John is read as a text that employs symbolism and patterns of misunderstanding to lead readers from a literal reading toward deeper faith in Jesus as the source of true life. In this framework, the “Bread of Life” functions not merely as metaphor but as a revelatory symbol integrating Christological, soteriological, and ecclesiological dimensions. Findings show that this symbol is rooted in Old Testament motifs such as manna, Exodus, and wisdom, reinterpreted Christologically in Jesus. The feeding miracle points beyond physical sustenance to divine revelation, culminating in the statement “I am the Bread of Life.” John 6:51b–58 intensifies this sacramental meaning, forming the basis for Eucharistic theology, where participation in Christ’s body and blood signifies existential communion with God. The study concludes that John integrates Christology and sacramental theology, portraying faith as movement from sign to reality, recognition to participation, and revelation to communion with Christ.

Teacher performance evaluation is a crucial factor in improving educational quality, but many schools still conduct it manually and subjectively, resulting in less transparent, time‑consuming, and error‑prone outcomes. This study aims to design and develop a web‑based decision support system using the Simple Additive Weighting (SAW) method for selecting the best teacher at MTs Mambaul Ulum. The system was developed using the Waterfall model with the Laravel 12 framework and MySQL database, incorporating two evaluator roles: the principal (assessing 5 criteria: teaching hours, responsibility, mastery of material, personality, and attendance) and the vice principal (assessing 4 criteria excluding personality). Data were collected through observation, interviews, and document review. System testing employed Black Box Testing and accuracy validation by comparing system outputs with manual Excel calculations. The results show that the SAW method effectively ranks teachers objectively, with Kusyanti achieving the highest score of 0.9450. The system attained 100% accuracy, as no difference was found between manual and system calculations. Moreover, the system reduced evaluation time from days to seconds and provides well‑documented results, thus supporting more transparent and accountable decision‑making. Therefore, this system proves to be reliable, objective, and efficient in assisting school administrators in evaluating teacher performance in a structured and fair manner.

Dental caries is one of the most common oral health problems among young children. Preschool-aged children are highly dependent on their parents, especially mothers, for dental health care. A mother's level of knowledge is expected to influence the incidence of caries in children. Purpose: This study aims to determine the relationship between maternal knowledge and the incidence of dental caries among children at Qalby Play School, Bogor Regency. Method: This research employed a cross-sectional design with an analytic survey approach. The population consisted of all mothers and their children at Qalby Play School, totaling 30 participants, selected using total sampling. Data were collected using questionnaires to assess maternal knowledge and odontogram sheets to measure caries incidence. Data were analyzed using univariate and bivariate analysis with the Chi-square test. Result: The results showed a significant relationship between maternal knowledge and the incidence of dental caries in children, with a p-value 0,047 < 0,05. Conclusion: There is a statistically significant relationship between maternal knowledge and the incidence of dental caries in children. Therefore, it is important for parents, especially mothers, to pay close attention to their children's oral health by ensuring proper and regular tooth brushing and scheduling dental check- ups every six months.

This study examines the role of inclusive curriculum reform in promoting educational equity within multicultural education systems. The research focuses on the interconnected roles of curriculum transformation, educational policy, and transformative leadership in fostering inclusive and socially just learning environments. Using a qualitative content analysis approach, the study analyzed scholarly articles, policy documents, educational reports, and academic literature related to multicultural education, inclusive pedagogy, leadership, and equity-oriented policies. The findings reveal that inclusive curriculum reform serves as a fundamental strategy for recognizing cultural diversity, reducing discrimination, and enhancing equal participation among students from diverse backgrounds. Furthermore, effective educational policies and transformative leadership practices were identified as essential factors in supporting sustainable inclusive educational reform. However, the study also found that the implementation of inclusive curriculum reform continues to face significant challenges, including inadequate teacher preparation, limited institutional resources, policy inconsistency, technological inequality, and sociocultural resistance

Hypertension is one of the leading non-communicable diseases contributing significantly to cardiovascular morbidity and mortality worldwide. Despite the availability of extensive electronic medical record data in healthcare institutions, these data are often utilized only for administrative reporting rather than predictive analysis. Consequently, opportunities to identify age groups with a higher probability of developing hypertension remain underutilized. This study aims to implement the Naïve Bayes classification algorithm to analyze age distribution and classify the risk of hypertension among patients using healthcare data. The research adopted the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology, including business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Patient medical record data consisting of demographic and clinical attributes, including age, systolic blood pressure, diastolic blood pressure, body weight, gender, and hypertension status, were processed using the Naïve Bayes algorithm. Model performance was evaluated using a confusion matrix by measuring accuracy, precision, recall, specificity, and balanced accuracy. The implementation demonstrates that the Naïve Bayes algorithm is capable of classifying hypertension risk efficiently while providing probabilistic information regarding age groups with a higher tendency to experience hypertension. The resulting classification model offers an effective decision-support tool for healthcare providers in conducting targeted screening, preventive interventions, and evidence-based health planning. The findings also indicate that data mining techniques can transform routinely collected medical records into valuable clinical knowledge for early hypertension prevention and healthcare decision-making.

The increasingly dynamic organizational environment demands strategic human resource management to maintain competitiveness and achieve organizational goals. Performance appraisal serves not only as an evaluation tool but also as the basis for decision-making regarding employee career development. This study aims to analyze the impact of performance appraisal on career development based on various empirical research findings. The method used is a Systematic Literature Review (SLR) with the PRISMA framework and a descriptive-qualitative approach. Data were obtained from scientific articles on Google Scholar, Garuda, and ScienceDirect containing quantitative studies from the 2022–2026 period. The data were then analyzed using narrative synthesis to identify patterns of relationships between performance appraisal and career development. The results of the study indicate that performance appraisal has a positive and significant effect on employee career development. An objective, transparent, and measurable appraisal system helps organizations identify employee potential, enhance competencies, determine training needs, and support promotions and career opportunities. These findings align with Performance Management Theory, Human Capital Theory, Goal-Setting Theory, and Expectancy Theory. Therefore, the integration of performance appraisal and career development is a key strategy in building a competent, productive, and sustainable workforce.

This study examines the growing debate surrounding the possibility of granting legal personhood to artificial intelligence (AI) systems within contemporary legal frameworks. As AI technologies become increasingly autonomous in decision-making, innovation, and economic interactions, questions arise concerning accountability, liability, and ethical governance. Using a qualitative library research approach, this study analyzes scholarly literature, legal theories, and global regulatory developments related to AI personhood. The discussion explores historical precedents of non-human legal entities, including corporations and natural objects, and compares them with emerging proposals for electronic legal personality. The findings reveal that while functional legal recognition may offer practical solutions for liability and compensation, current AI systems lack consciousness, moral agency, and intentionality required for full legal personhood. Consequently, most jurisdictions prefer human-centered regulatory models emphasizing transparency, oversight, and institutional accountability. The study concludes that extending legal personhood to AI remains premature and that adaptive governance frameworks are more appropriate for managing future AI-related legal challenges

This study aims to design and implement a simple solar panel-based battery charging system equipped with protection and voltage limiting circuits. The study was conducted to address the limitations of a direct solar panel-to-battery connection, which may cause short-circuit risk, reverse current, unstable charging voltage, and excessive battery charging. This research used a design-based experimental approach. The system was developed by preparing a block diagram, dividing it into several functional sub-blocks, and implementing the design into an electronic circuit. The main circuit sections consisted of solar panel protection, voltage limiter, interlocking circuit breaker, power regulator, and voltage divider. The assembled circuit was tested through real-time measurement by observing solar panel output voltage under different time and sky conditions and measuring battery charging time from different initial voltage levels. The results show that the solar panel output voltage varied according to time and weather condition. The lowest measured voltage was 15.0 V under cloudy conditions, while the highest measured voltage was 25.2 V under clear sky conditions around midday. The battery charging test showed that lower initial battery voltage required longer charging time, while voltage closer to the target level required shorter charging time. The evaluation was limited to voltage measurement and charging time; charging current, battery temperature, solar irradiance, and charging efficiency were not measured in detail. The proposed system can be applied for small-scale solar charging, educational practice, and basic renewable energy experiments. The study offers a practical circuit model that integrates protection, interlocking, voltage limiting, and regulation functions using simple and accessible electronic components.

This study examines how profitability affects company value among manufacturing firms included in the LQ45 index during the 2023–2025 period, with debt policy serving as a moderating variable. Increasing business competition encourages companies to improve their financial performance and market value to attract investors and maintain long-term sustainability. A quantitative research approach with a causal research design was employed to analyze the relationship between the variables. The study used secondary data obtained from audited annual financial statements published on the Indonesia Stock Exchange. Data analysis was conducted using Moderated Regression Analysis (MRA) with the assistance of SPSS version 26. The results indicate that profitability has a significant positive effect on firm value, suggesting that higher profitability enhances investor confidence and contributes to higher market valuations. Furthermore, debt policy significantly moderates the relationship between profitability and firm value by strengthening the influence of profitability. The coefficient of determination increased from below thirteen percent to more than sixty-three percent after including the moderating variable. These findings demonstrate that effective debt management combined with strong profitability contributes to higher firm value and supports sustainable corporate growth and long-term investor confidence.

This study explores the development of a sustainable framework for Syariah and legal studies within the context of contemporary educational transformation. Employing a qualitative research approach through content analysis, this study examines relevant scholarly literature, Islamic legal sources, and contemporary educational perspectives to identify key strategies for strengthening Syariah and legal education in response to evolving societal challenges. The findings reveal that the sustainability of Syariah and legal studies requires an integrated approach that combines classical Islamic scholarship with modern legal, social, and technological developments. Several essential dimensions are identified, including institutional reform, curriculum innovation, pedagogical transformation, research advancement, international academic collaboration, and technology integration. Furthermore, the study highlights the importance of interdisciplinary engagement between Syariah studies and other fields, such as constitutional law, international law, economics, sociology, and digital studies. The findings also emphasize the significance of student-centered learning, critical thinking, and research-based education in enhancing academic quality and intellectual engagement

Food waste is still a significant problem, affecting food security, the environment, and the global economy. More than 53% of food produced becomes waste. Food waste worldwide totals 1.3 trillion annually. One of the districts with a high food waste rate is Banyumas. The most significant contributor to waste in the Banyumas region in 2021 was food waste, accounting for 39.85%, with much of it generated by restaurants. Restaurants play an essential role in managing food waste, as most food discarded at the preparation stage cannot be reused. This study aims to analyze the relationship between demographics and food waste reduction to support a digital technology approach from a restaurant perspective. This study used quantitative methods. The respondents of this study were 100 restaurants located in Banyumas, including A La Carte, Ramesan, Tegal, and Padang, and the data were analyzed using ANOVA. The results show that demographic factors, including income, age, restaurant opening hours, and the prices of best-selling foods, influence food waste in restaurants. The recommendation is for restaurants to prepare and plan menus. This will affect food prices, opening hours, and revenue. Some restaurants can increase their knowledge of handling food waste.

Higher-order thinking skills (HOTS) are a requirement in 21st-century education, yet assessments in schools are still primarily based on lower-order thinking (LOTS) cognitive skills. This study aims to examine the concept of the Revised Bloom's Taxonomy, the characteristics of instruments based on Higher-Order Thinking Skills (HOTS), and their implementation in instrument development. This study used a qualitative approach with a heritage study method. Data were obtained from books, scientific journals, and educational policy documents related to HOTS-based assessment. Analysis was conducted through data reduction, categorization, and drawing conclusions based on their alignment with the Revised Bloom's Taxonomy framework. The results of this study indicate that cognitive levels C4-C6 in the Revised Bloom's Taxonomy serve as the primary reference in developing HOTS instruments, which can assist in developing HOTS-based instruments to measure students' higher-order thinking skills.

This study investigates the practice of the accounting profession with the aim of identifying the key threats and challenges that hinder its development in Nigeria. To achieve this objective, three hypotheses were formulated and tested using the chi-square statistical technique to examine the relationship between identified challenges and the development of accounting practice in the country. The study drew on the perceptions of key stakeholders in the accounting field, namely academic accountants, professional accountants, and accounting regulators. Primary data were collected and analyzed, and the results revealed that the accounting profession is confronted with significant challenges that negatively influence its growth and development. The study concludes that these constraints may pose serious risks to the future advancement of the profession in Nigeria. It therefore recommends that academic and professional accountants should remain committed and proactive in advancing accounting knowledge and practice, while regulatory bodies should ensure objectivity, transparency, and fairness in the formulation and enforcement of accounting standards and regulations

This research is motivated by the development of injection motorcycle engine management system technology that demands increased performance through optimization of the Electronic Control Unit (ECU). This study aims to analyze the performance comparison of the Yamaha MX King 180 cc using a standard ECU and a racing ECU on engine power and torque. The method used is an experiment with engine dynotest testing in the range of 6000-10000 RPM. The research sample is a 2015 Yamaha MX King unit that has been modified to 180 cc. Data were collected through direct measurements of power (HP) and torque (Nm), then analyzed descriptively in the form of tables and graphs. The results show that the racing ECU is able to produce a higher maximum power of 24.9 HP at 10000 RPM compared to the standard ECU of 22.2 HP at the same engine speed. In terms of torque, both types of ECU reach peak values ​​at 8000 RPM with a relatively small difference (18.18 Nm on the standard ECU and 18.15 Nm on the racing ECU). However, at low to mid-range revs, the racing ECU tends to produce slightly more torque, although at very high revs, it experiences a greater decrease compared to the standard ECU. The racing ECU excels at increasing high-rev power, while the standard ECU exhibits more consistent torque stability. Therefore, the choice of ECU type must be tailored to the performance requirements and the characteristics of the vehicle's use.

Flooding remains a recurrent hazard in the Special Capital Region of Jakarta (DKI Jakarta), causing substantial disruptions across multiple dimensions community life, including social well-being and economic activities. The availability of flood-related information through the Jakarta One Data Portal (Satu Data Jakarta) provides significant opportunities for broader data utilization; however, transforming such information into meaningful assessments regional vulnerability requires a systematic analytical approach to generate more comprehensive understanding of the conditions of individual urban villages (kelurahan). This study focuses on the classification areas based on the characteristics and impacts of flood events occurring throughout DKI Jakarta. The analysis utilizes flood event records from 2023 to 2025 and incorporates several indicators, including the number of flood occurrences, the number of affected neighborhood associations (RW), the number affected households, the number of affected residents, the number of evacuees, the number of evacuation sites, and floodwater depth. Data processing was conducted using the Knowledge Discovery in Databases (KDD) framework, encompassing data selection, cleaning and preprocessing, transformation, pattern exploration, result evaluation, and knowledge extraction. The findings demonstrate that three-cluster solution effectively captures variations in flood vulnerability levels, corresponding to low-, moderate-, and high-risk categories. A total of 96 urban villages were classified as low-risk, 27 as moderate-risk, and 46 as high-risk areas. The resulting clustering patterns provide a clearer spatial representation of flood-risk distribution across urban villages, thereby offering valuable insights for the development more targeted mitigation strategies, the prioritization of flood management interventions, and the enhancement of evidence-based decision-making processes in DKI Jakarta.

This study examines the alignment of Regional Regulation of Grobogan Regency Number 3 of 2022 concerning the Environmental Protection and Management Plan (RPPLH) 2022–2052 with higher-level legislation, particularly Law Number 32 of 2009 on Environmental Protection and Management, Law Number 6 of 2023 concerning Job Creation, and Government Regulation Number 26 of 2025 on RPPLH from the perspective of Rechtszekerheid (Certitudo Juris). The research employs a normative juridical method using statutory and conceptual approaches. Primary legal materials include environmental legislation and the Grobogan RPPLH Regulation, while secondary materials consist of scholarly literature, academic journals, and official reports. The findings reveal that the Grobogan RPPLH Regulation is generally consistent with the fundamental principles of environmental protection established in national legislation. Nevertheless, several technical and operational inconsistencies remain, particularly regarding monitoring and evaluation mechanisms, environmental carrying and assimilative capacity arrangements, environmental information systems, substantive public participation, and legal consequences for non-compliance with RPPLH provisions. These shortcomings may create regulatory conflicts, legal uncertainty, and ineffective environmental governance. From the perspective of Rechtszekerheid, environmental policy implementation in Grobogan Regency has not fully satisfied the requirements of legal clarity, procedural certainty, consistency of enforcement, and public accountability. Therefore, regulatory harmonization is required through limited revision of the RPPLH Regulation, preparation of implementing regulations, institutional strengthening, integration of RPPLH into regional development planning, and establishment of an integrated environmental information system. These measures are necessary to ensure sustainable environmental governance and strengthen legal certainty in environmental protection and management.