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This study aims to investigate the factors influencing the continuance intention of Al-Kautsar Senior High School students in using metaverse-based learning media. The background of this research lies in the rapid adoption of immersive technologies in education, while students’ levels of acceptance have not yet been fully understood. The objective is to identify the antecedents of satisfaction, which subsequently influence continuous intention. The research model examines the effects of perceived interactivity, perceived sociability, perceived enjoyment, perceived ease of use, perceived security, and social influence on satisfaction. A quantitative approach was employed by distributing questionnaires to students, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that satisfaction is a very strong and statistically significant predictor of continuous intention to use metaverse applications (β = 0.716, p < 0.001). The six hypothesized antecedent variables were not found to have a significant individual effect on satisfaction. In conclusion, for digital native students at Al-Kautsar Senior High School, factors such as ease of use, interactivity, and enjoyment have shifted from being drivers of satisfaction to becoming basic expectations (hygiene factors). Satisfaction itself emerges as the primary determinant, likely influenced by more substantive elements such as content quality or pedagogical design rather than merely the technical features of the platform.

This study investigates the impact of GeoGebra-assisted collaborative learning on students' understanding of function graphs. Function graphs are fundamental in mathematics education, yet many students struggle to grasp the relationships between variables, primarily due to traditional teaching methods that focus on procedural skills rather than conceptual understanding. To address this challenge, the study incorporates GeoGebra, a dynamic mathematics software, alongside collaborative learning strategies. The research utilizes a quasi-experimental design involving high school students who had previously struggled with function graphs. The results demonstrate that the experimental group, which engaged in GeoGebra-assisted collaborative learning, showed a significant improvement of 27% in their post-test scores, compared to just a 6% improvement in the control group using traditional methods. The study highlights the effectiveness of GeoGebra in fostering a deeper conceptual understanding of mathematical functions by enabling students to visualize and manipulate graphs interactively. Additionally, collaborative learning encouraged peer interaction, reinforcing the learning process and promoting better problem-solving skills. The findings suggest that combining interactive tools like GeoGebra with collaborative learning techniques can enhance students’ mathematical comprehension, leading to improved engagement and performance in mathematics education.

This study aims to analyze the influence of Meta Ads, price, and product quality on the online purchase intention of digital products marketed through the Instagram account @cuantanpakamera. This study employs a quantitative approach. The population of this study consists of all 31,800 followers of the @cuantanpakamera Instagram account. The sampling technique used was purposive sampling, involving 125 respondents. Data analysis was conducted using multiple linear regression aided by the Statistical Package for Social Sciences (SPSS) 22.0 for Windows. The results indicate that Meta Ads, price, and product quality variables have a positive and significant effect on online purchase intention. Meta Ads was identified as the most dominant factor influencing online purchase intention. The coefficient of determination (R²) value of 0.663 indicates that the independent variables are able to explain 66.3% of the variation in online purchase intention, while the remaining 33.7% is explained by other factors such as consumer trust, brand awareness, and so forth. This study emphasizes the importance of implementing effective digital advertising strategies and consistent product quality management to enhance consumer purchase intention in the era of social media-based marketing.

This study aims to examine the influence of product innovation, digital marketing, and business networking on the competitiveness of small and medium-sized enterprises (SMEs), with customer engagement positioned as a mediating variable. Employing a Systematic Literature Review (SLR) approach, thirty Scopus-indexed articles published between 2020 and 2025 were analysed to synthesise theoretical and empirical insights related to SME competitiveness in contemporary digital and urban business environments. The findings indicate that product innovation, digital marketing, and business networking each play a significant role in strengthening SME competitiveness, particularly within markets characterised by rapid technological change. Customer engagement emerges as a critical mediating mechanism that connects these strategic variables to sustainable competitive advantage. It enhances the impact of innovative and digital strategies by fostering stronger emotional, behavioural, and participative interactions between SMEs and their customers. The review also highlights that SMEs adopting integrated digital management practices, such as the utilisation of human-resource information systems (HRIS) and data-driven decision-making tend to demonstrate greater adaptability, market responsiveness, and long-term performance. The study contributes theoretically by integrating resource-based and dynamic capability perspectives, offering a holistic understanding of how digital and relational capabilities interact to elevate competitiveness. Practically, the findings provide strategic guidance for policymakers, SME managers, and practitioners in designing innovation-oriented and digitally enabled initiatives that support sustainable SME growth in the digital era.

This study was conducted to analyze the relationship between students’ learning motivation and their perception of mathematics with mathematics achievement among tenth-grade students at SMA Al Islam 1 Surakarta. Mathematics was chosen as the focus because it is often considered a subject that presents significant challenges for students, both in terms of conceptual understanding and in shaping positive attitudes toward learning. The study employed a correlational quantitative method, with the population consisting of all tenth-grade students and the sample limited to class X-9, comprising 36 students. The instruments used were a motivation questionnaire, a perception questionnaire, and mathematics learning outcomes obtained from mid-semester test scores. Data analysis included normality testing and Pearson correlation to identify the relationship among variables. The results indicated that learning motivation did not have a significant correlation with mathematics achievement. In contrast, students’ perception of mathematics showed a significant correlation with their academic performance. These findings suggest that students’ positive perceptions of mathematics can play a crucial role in supporting better academic achievement, while motivation alone may not guarantee higher performance. This study contributes to a deeper understanding of the factors influencing mathematics learning outcomes and provides a foundation for further research to develop more comprehensive tools for measuring motivation. Future studies are also encouraged to consider additional variables such as teaching strategies, parental involvement, and the overall learning environment in order to present a broader analysis of student success.

Flooding is one of the most recurrent natural disasters in Central Java Province, particularly during the rainy season. Diverse geographical characteristics, high rainfall intensity, and rapid urban development contribute to the region’s high vulnerability to flood hazards. According to the Central Java Statistics Agency, a total of 414 flood events and 407,784 affected victims were recorded between 2019 and 2021. This study aims to develop a web-based Geographic Information System (GIS) capable of mapping the spatial distribution and impact levels of floods across Central Java. The methodology includes collecting flood event data from the Central Java Statistics Agency, processing spatial data such as administrative boundary shapefiles, performing attribute integration between spatial and non-spatial datasets, and creating thematic maps using QGIS. The visualization outputs were exported into an interactive web format using the qgis2web plugin and subsequently integrated into a website developed with HTML, CSS, and JavaScript. The results show that the GIS system successfully visualizes flood-prone areas, identifies regions with high flood intensity, and enables users to explore detailed information through interactive digital maps. Additional website features—such as historical flood data, statistical summaries, and descriptive impact indicators—enhance the system's usefulness for disaster analysis. This study demonstrates the crucial role of GIS in supporting disaster mitigation, spatial planning, and policy evaluation related to flood management. Future research is recommended to incorporate more recent datasets and additional non-spatial variables such as rainfall intensity and floodwater depth to improve the system’s analytical accuracy and comprehensiveness.

Brake discs are one of the motorcycle spare parts that function to connect and reduce speed when the motorbike is moving, although very simple, this spare part is part of the braking system and has a very important role, without braking it will endanger the driver and other road users. To determine the hardness of the motorcycle brake disc on two original brake discs and variation brake discs on the Yamaha Vision sport motorbike by conducting Rockwell hardness tests on the original and variation brake discs with 10 test variable points. The results obtained for the average value at the level of hardness on the original disc sample are 55.1 HRC and the average value on the variation disc sample is 44.6 HRC, and the conversion hardness value from the Rockwell test. For Brinell testing and tensile testing from the results of Rockwell hardness testing, the average Brinell and tensile test values ​​were converted from the test site with the average Brinell conversion results for the original disc being 575 HBS, while the average variation disc value was 417.1 HBS, the conversion tensile test value with the results on the original disc was 1626 N/mm² and the variation disc was 1427 N/mm² with 10 variable point Rockwell testing and the conversion value of the Brinell hardness test and the original disc tensile test value was still greater than the variation disc tensile test value.

This study aims to examine the relationship between Corporate Social Responsibility (CSR) disclosure and profitability with firm value. The research was conducted on companies in the oil, gas, and coal sub-sector listed on the Indonesia Stock Exchange (IDX) during the 2021–2024 period. The independent variables in this study are corporate social responsibility disclosure and profitability, while firm size is employed as a control variable. Firm value is proxied by Price to Book Value (PBV), whereas profitability is measured using Return on Equity (ROE). This study is grounded in Stakeholder Theory and Signaling Theory to explain the relationships among the variables. The sample was determined using purposive sampling, resulting in 29 companies. The data analysis techniques applied include Pearson correlation analysis and multiple linear regression to examine both the simple relationships and the effects of corporate social responsibility disclosure and profitability on firm value. The results indicate that corporate social responsibility disclosure has a negative relationship with firm value, while profitability shows a positive and significant relationship with firm value.

Employee performance is a strategic factor in the success of regional banking organizations that are oriented towards service and achieving business targets. However, empirical evidence at PT Bank Sumut Kantor Cabang Koordinator Medan, indicates that employee performance tends to stagnate in the "Good" category during the 2021–2024 period. This condition is thought to be related to career development that is not yet optimally structured, organizational commitment that has not been fully actualized in work behavior, and inadequate extrinsic motivation. This study aims to analyze the effect of career development and organizational commitment on employee performance through extrinsic motivation as a mediating variable. The study used a quantitative approach with a survey method of employees at PT Bank Sumut Kantor Cabang Koordinator Medan. Data were analyzed using Structural Equation Modeling. The results show that career development and organizational commitment influence extrinsic motivation, and extrinsic motivation plays a role in improving employee performance and mediating the relationship between variables. These findings strengthen the role of extrinsic motivation as an important mechanism in bridging human resource policies and employee performance in regional banking.

Traffic performance on urban road segments is strongly affected by vehicle volume and travel time, particularly during peak periods. This study analyzes the relationship between travel duration and the total number of vehicles passing along Otto Iskandar Road as an illustration of urban traffic conditions. Data were collected through field surveys, focusing on two main variables: average vehicle travel time and total traffic volume. Statistical analysis was performed using IBM SPSS Statistics, including normality testing and the Wilcoxon Signed Rank Test to identify potential differences between the observed variables. The results show a difference in average values between travel duration and vehicle volume; however, this difference is not statistically significant at the 95% confidence level (p = 0.180). These findings indicate that increases in traffic volume do not always lead to proportional increases in travel time, although they can still influence the stability and efficiency of traffic flow. The results are consistent with previous studies, such as Halim (2021), who reported that U-turn movements affect speed and traffic performance, and Handayani et al. (2024), who found that parking activities and vehicle maneuvers reduce road capacity. Other studies also highlight the impact of side friction and traffic flow variations on speed and saturation levels. Overall, this study emphasizes the importance of managing vehicle flow and monitoring travel time in urban transportation planning and traffic management.

This study is intended to identify the impact of Online Customer Reviews and Product Quality Perceptions on Skintific Purchase Decisions on TikTok Shop. This study applies a quantitative approach through causal methods. Involving 96 respondents who have purchased and used Skintific products on the platform. Data analysis was carried out through the stages of classical assumption tests (normality, multicollinearity, and heteroscedasticity), and used multiple linear regression to test the research hypothesis. The findings show that online customer reviews and product quality perceptions have a positive and significant influence on purchase decisions, both when tested individually and together. The adjusted coefficient of determination (Adjusted R²) reaches 0.875, which means that 87.5% of the variation in purchase decisions can be explained by the two independent variables, while the remaining 12.5% is influenced by external elements outside of this model. Among the two variables studied, Online Customer Reviews were proven to have a dominant influence on Purchase Decisions, with a higher Beta value than Product Quality Perception. This conclusion emphasizes that positive reviews from customers and a good view of product quality are the main drivers for consumers to purchase Skintific products on TikTok Shop. Thus, companies are advised to maintain product reputation through consistent quality as well as optimize digital communication strategies based on customer reviews to improve consumer purchasing decisions.

This study aims to analyze the impact of world oil prices on Indonesia's macroeconomic stability represented by the BI Rate, the rupiah exchange rate, and inflation during the 2018–2025 period. Fluctuations in world oil prices, acting as a source of external shocks, have the potential to affect the economy through changes in production costs, distribution, and economic activity. The study employs a quantitative approach using monthly time-series data comprising 96 observations. The Vector Autoregression (VAR) method is used to identify dynamic relationships among the variables. The results indicate no long-term relationship between world oil prices, the BI Rate, the rupiah exchange rate, and inflation. VAR estimates suggest that world oil prices do not significantly affect the BI Rate, the rupiah exchange rate, or inflation. Impulse Response Function analysis reveals that the responses of these three variables to world oil price shocks are temporary, with the variables eventually returning to equilibrium. Forecast Error Variance Decomposition results further show that the contribution of world oil prices to explaining variations in the BI Rate, the rupiah exchange rate, and inflation is relatively small. These findings indicate that Indonesia's macroeconomic stability during the study period was influenced more by domestic factors than by fluctuations in world oil prices. The study's results can serve as input for economic policy formulation in the face of global uncertainty.

This study aims to analyze the effect of workload and work stress on the performance of teachers at Madrasah Aliyah Negeri Tana Toraja. The study uses a quantitative approach with a population of 38 teachers, all of whom were selected as the sample using the total sampling technique. Data collection was carried out using questionnaires, and data analysis was performed using multiple linear regression assisted by SPSS version 26. The results show that workload has a significant positive effect on teacher performance, with a t-value of 2.081, which is greater than the t-table value of 2.030, indicating a significant positive relationship between the two. In addition, work stress also has a significant positive effect on teacher performance, with a t-value of 8.046, which is greater than the t-table value of 2.030. Simultaneously, both variables have a significant effect on teacher performance at Madrasah Aliyah Negeri Tana Toraja. In conclusion, an increase in workload and work stress, when managed properly, can improve teacher performance. Therefore, it is important for the school to pay attention to managing workload and work stress to optimize teacher performance.

This study aims to determine the cost of coffee production as a basis for setting the selling price in the Sarah Jaya coffee business. Accurate calculation of production costs is essential because it directly affects pricing decisions and the level of profit generated by the business. The full costing method is used to determine the cost of production, as this method provides a more comprehensive and detailed calculation by including all cost components required in the production process, such as raw material costs, direct labor costs, and both fixed and variable manufacturing Overhead costs. Determining the cost of production using an appropriate method can significantly influence the determination of the selling price and ensure that the business achieves sustainable profitability. The application of the full costing method is expected to provide practical benefits for Small and Medium Enterprises (MSMEs), particularly in improving financial management and decision-making accuracy. The results of this study indicate that the calculation of the cost of production for the Sarah Jaya coffee business conducted by the business owner using the full costing method aligns well with the determination of the selling price and the profit generated. This is because the full costing method takes into account more detailed and comprehensive cost elements, resulting in a more realistic and reliable calculation of production costs.

This study aims to determine the cost of production for Sa'dan woven fabric using two cost calculation methods, namely full costing and variable costing. These methods are applied to analyze the cost differences involved in the production process. Data were collected through observation and direct interviews with the weavers. Based on the research findings, the cost of production per sheet of woven fabric using the full costing method is Rp 316,800, which includes the costs of raw materials, labor, and production overheads. In contrast, the calculation using the variable costing method results in a lower production cost, amounting to Rp 314,690. Additionally, the uncertainty in the production quantity also affects the cost incurred. The higher the production quantity, the greater the cost incurred, which impacts the setting of selling prices and the desired profit by the weaver. Therefore, it is important for the weavers to consider efficiency in production planning in order to optimize costs and maximize profits. By understanding the differences between these two methods, the weavers are expected to make more accurate pricing decisions based on the current production conditions, ensuring better business sustainability.  

Welfare for the poor is the most important topic in improving citizens. Islam as Ad-diin has offered several teachings for humans that apply universally with two dimensional characteristics, namely happiness and well-being in life in this world and in the hereafter. In the concept of the modern world, welfare is a condition where a person can fulfill basic needs, be it the need for food, clothing, shelter, clean drinking water as well as the opportunity to continue education and have adequate work that can support the quality of life so as to have a social status that leads to the same social status as other citizens. ZIS as an extension of the government in helping the needs of the poor with the aim of improving the welfare of the community who initially as zakat recipients turned into zakat givers, so that later the funds used will be evenly distributed and felt by the wider community. as well as purifying assets that may be accidentally mixed with assets that are forbidden for consumption. The urgency of ZIS in Sidowungu is one of the main elements of effective and efficient zakat management in order to realize the welfare of the community. As for the discussion of this article about the welfare pattern for the poor as the process of distributing ZIS funds in Sidowungu Village. The method used in this article is a quantitative approach. The subjects of this study were 165 poor people in Sidowungu Village, while the sample size was 65 poor people using probability sampling. The results of the study, processed using the PASW SPSS 23 for Windows program, showed that partial test results for H0 were rejected and H1 was accepted if the calculated t value was greater than the table t value or the sig value was less than 0.05. This means that the distribution of funds partially affected the welfare of the poor in Sidowungu Village. The magnitude of the influence between variables can be seen from the coefficient of determination of 0.079, meaning that 79.0% of the welfare of the poor in Sidowungu Village was influenced by the distribution of ZIS funds, while the remaining 21.0% was influenced by other variables not included in this study.

This study aims to examine the role of transformational leadership in enhancing innovative work behavior through organizational learning readiness and knowledge sharing behavior as mediating variables among employees of Brighton Real Estate Spazio Surabaya. Employing a quantitative explanatory research design, data were collected through questionnaires distributed to 98 employees of Brighton Real Estate Spazio Surabaya. Data were analyzed using the Smart-PLS 3.2 software for hypothesis testing. The findings indicate that transformational leadership has a positive and significant effect (β = 0.311) on organizational learning readiness, and a positive and significant effect (β = 0.333) on knowledge sharing behavior. Organizational learning readiness also positively and significantly affects knowledge sharing behavior (β = 0.359). However, transformational leadership shows a negative and insignificant effect (β = −0.033) on innovative work behavior, while organizational learning readiness exhibits a positive but insignificant effect (β = 0.167) on innovative work behavior. Interestingly, knowledge sharing behavior demonstrates a negative and significant effect (β = −0.514) on innovative work behavior.

This study aims to examine and analyze the influence of auditor ethics, auditor competence, and audit risk on audit quality, with audit fees serving as a mediating variable. This research employs a quantitative associative approach with a casual explanatory design. Data were collected through a questionnaire survey administered to external auditors working at Public Accounting Firms (PAFs) in Surabaya, with a population of 55 firms. The sampling technique used was convenience sampling, resulting in 42 auditors as respondents with the characteristic of having worked at Public Accounting Firms in Surabaya for at least one year as of 2025. Data analysis was conducted using the Partial Least Square (PLS) method assisted by SmartPLS 4.0 software. The results indicate that auditor competence and audit risk have a positive and significant effect on audit fees, while auditor ethics does not have a significant effect. Furthermore, auditor ethics has a positive and significant effect on audit quality, whereas auditor competence, audit risk, and audit fees do not show a significant effect. In addition, audit fees are not proven to function as a mediating variable and therefore are unable to mediate the effects of auditor ethics, auditor competence, and audit risk on audit quality.

This study aims to examine the effect of accounts payable, profitability, and Other Comprehensive Income (OCI) on audit fees in FMCG Food & Beverage companies listed on the Indonesia Stock Exchange for 2020–2024. A quantitative method using multiple linear regression was applied, supported by classical assumption tests including normality, multicollinearity, and heteroscedasticity tests which indicated that the model is statistically valid. The regression results show that accounts payable significantly affects audit fees (sig 0.002), while profitability (sig 0.286) and OCI (sig 0.064) have no significant partial effect. Simultaneously, all variables significantly influence audit feeswith an F-test value of 0.000. The coefficient of determination (R²) of 0.576 indicates that 57.6% of audit fee variation is explained by the independent variables. These findings highlight that company risk, reflected in higher accounts payable, is the primary determinant of audit fees in the FMCG sector.

This research investigates the execution of data-informed and inclusive regional development planning within the Regional Development Planning Agency (Bappeda) of Sidoarjo Regency, concentrating on four analytical aspects: data integration and management abilities, the efficiency of participatory processes, technical and institutional obstacles concerning interoperability, and capacity-building strategies for facilitators tasked with translating public aspirations into planning priorities. The study is positioned within the national framework to establish evidence-based and participatory planning in reaction to the growing complexity regional development. Despite Bappeda Sidoarjo implementing multiple data platforms and participatory channels such Musrenbang forums, online submission systems, and sector-specific information systems the results indicate that issues like data fragmentation, insufficient digital literacy, and ineffective follow-up mechanisms continue to impede planning effectiveness. Employing qualitative methodology that includes in-depth interviews, observation, and document review, the research reveals that data integration has not reached single source of truth because of the lack of a cohesive data architecture and compatible standards among government entities. Participatory methods have increased inclusivity, but the quality of proposals and verification processes is still variable, hindering the incorporation of grassroots feedback into planning priorities. Moreover, the ability of facilitators the subdistrict and village levels is crucial in determining the quality of the compiled proposals. The research ends by highlighting the importance of improved data governance, increased actor capability, revised participatory processes, and clear follow-up mechanisms. Suggestions encompass constructing a unified data framework, offering ongoing technical training, standardizing digital Musrenbang processes, and establishing publicly available proposal-tracking system integrated within the yearly planning cycle.