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The rapid proliferation of learning analytics, business intelligence (BI), artificial intelligence (AI), and generative AI (GenAI) has significantly expanded universities’ ability to collect, integrate, analyze, and operationalize institutional data. However, despite advances in predictive analytics, dashboards, and AI-driven systems, the translation of analytical outputs into consistent and accountable institutional decision-making remains uneven. This systematic literature review synthesizes contemporary research on analytics-enabled decision-making in higher education with the aim of moving beyond dashboard-centric perspectives toward a socio-technical and computing-oriented understanding of how data are transformed into institutional actions and outcomes. Guided by the PRISMA framework, the review synthesizes evidence across four interconnected dimensions: data ecosystems and learning analytics foundations; analytics capability, BI adoption, and digital readiness; AI and advanced analytics for decision support; and human-in-the-loop (HITL) decision routines and institutional outcomes. The findings show that predictive performance and analytical sophistication alone do not guarantee decision value. Instead, effective analytics-enabled decision-making depends on interoperable data ecosystems, organizational analytics capability, governance mechanisms, explainability, and sustained human oversight. Based on these findings, this review contributes a computing-oriented decision-intelligence framework that conceptualizes analytics-enabled decision-making as an end-to-end socio-technical pipeline linking heterogeneous data acquisition, integration, feature construction, analytical modeling, explainability, human validation, governance, and feedback-based refinement. By integrating learning analytics, BI, AI, GenAI, and HITL mechanisms within a unified framework, the review clarifies how universities can move beyond dashboard-based reporting toward accountable, adaptive, and institutionally actionable decision-support infrastructures.

Suspicious urban sound recognition is a critical component of intelligent public safety and urban monitoring systems, enabling the automated identification of anomalous acoustic events such as gunshots, sirens, and other security-sensitive sounds. However, existing deep learning approaches often struggle to simultaneously capture long-range temporal dependencies and global contextual relationships, particularly under noisy and acoustically complex urban conditions. This limitation can reduce reliability in safety-critical scenarios where missed detections carry significant risk. To address these challenges, this study proposes a Multi-Branch Bidirectional Long Short-Term Memory (BiLSTM) framework with Multi-Head Self-Attention (MHSA) for enhanced sequential and contextual feature modeling. Mel-frequency cepstral coefficients (MFCCs) are extracted from a curated subset of the UrbanSound8K dataset, comprising five suspicious sound classes, and used as input to the proposed architecture. The multi-branch design enables complementary temporal representations, while the self-attention mechanism provides lightweight contextual weighting of BiLSTM outputs. Experimental results demonstrate that the proposed model achieves a test accuracy of 95.59%, outperforming conventional Dense and LSTM-based baseline models under identical experimental settings. An ablation study further confirms the contribution of multi-branch integration and attention-based enhancement to overall performance. Class-wise evaluation reveals consistently high recall across all sound categories, particularly for safety-critical classes such as gunshots and sirens. These findings indicate that the proposed framework provides robust and reliable performance, making it suitable for real-time smart city surveillance and public safety applications.

The digital era has fundamentally transformed the market landscape, requiring e-commerce platforms to understand the determinants of consumer behavior. This study aims to analyze the role of E-commerce Trust as a mediating variable in the relationship between Perceived Ease of Use, Perceived Usefulness, and Perceived Enjoyment on Purchase Intention. Using a quantitative approach, data was collected from 326 active users of the Lazada platform in Central Java. Data analysis was conducted using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. The results show that the three main factors ease, usefulness, and enjoyment have a positive and significant influence on Brand Trust and consumer Purchase Intention directly. Furthermore, it was found that E-commerce Trust acts as a crucial mediator that strengthens Purchase Intention through positive user experience. Theoretically, this study strengthens the Technology Acceptance Model (TAM) framework and the context of Cross-Border E-commerce (CBEC) in the digital retail industry. Practically, these findings emphasize the importance of optimizing platform features to enhance transaction convenience and security and build long-term loyalty. The research's implications suggest that platform managers should focus on both aesthetics and functionality to create a credible and enjoyable digital shopping ecosystem for consumers in developing regions.

This study aims to develop a Strategic Learning Enabler model by reconfiguring the role of Information and Communication Technology (ICT) units to enhance Generation Z student productivity in digital higher education. The research is motivated by the gap between digital transformation demands and the predominantly technical-operational role of ICT units. Using a quantitative explanatory design, this study examines the causal relationships among ICT role reconfiguration, adaptive learning systems, and student productivity. Data were collected through questionnaires distributed to Generation Z students engaged in digital learning environments and analyzed using Structural Equation Modeling (SEM). The findings indicate that Generation Z students exhibit high responsiveness to structured tasks but lack continuity in learning activities due to weak self-regulated learning. The study also reveals that adaptive learning systems significantly mediate the relationship between ICT transformation and student productivity. The proposed model emphasizes digital governance, learning analytics, and micro-tasking structures as key components in building sustainable academic productivity. This research contributes both theoretically and practically by offering an institutional framework for digital learning transformation in higher education.

The Qiroati method is an instructional approach to reading the Qur’an that emphasizes direct practice of tartil recitation in accordance with the rules of tajwid. This method is practical, systematic, and implemented gradually, meaning that learners are not allowed to proceed to the next level before achieving fluency at the current stage. One of the main challenges in learning to read and memorize the Qur’an is the limited use of structured teaching methods, as some teachers still rely primarily on personal experience and conventional reading approaches. This condition contributes to students’ lack of fluency in reading and memorizing the Qur’an, as well as decreased learning motivation due to monotonous and less effective instructional practices. This study aims to examine the implementation of the Qiroati method in improving students’ Qur’anic reading ability within the Tahfidzul Qur’an program at SMP Daruttaqwa Full Day School. The findings are expected to provide useful insights for educators and contribute to academic knowledge. This research employs a field research design with a descriptive qualitative approach, focusing on describing the application of the Qiroati method in enhancing students’ reading ability in relation to Qur’an memorization. Data were collected through interviews, tests, and documentation, while data analysis involved data collection, data display, and conclusion drawing. The results indicate that the implementation of the Qiroati method effectively improves students’ ability to read the Qur’an in the Tahfidzul Qur’an program. This is evidenced by the improvement in students’ reading scores compared to their previous performance. In practice, the method involves teachers modeling correct recitation, followed by students reading collectively. Therefore, the Qiroati method not only enhances students’ accuracy in reading the Qur’an but also fosters a more engaging and effective learning environment.

This study aims to analyze the influence of incentives and physical work environment on employee performance with motivation as a mediating variable at the Denpasar City Cultural Office. This study uses a quantitative approach with a survey method. The research population was all employees of the Denpasar Cultural Office totaling 54 people, all of whom were sampled using saturated sampling techniques. Data were collected through a questionnaire with a Likert scale and analyzed using Structural Equation Modeling based on Partial Least Square (SEM-PLS). The results of the study showed that incentives had a positive and significant effect on employee performance, while the physical work environment did not have a significant effect on employee performance. In addition, motivation has a positive and significant effect on employee performance. Mediation testing showed that motivation was able to mediate the influence of incentives on employee performance, but was unable to mediate the influence of the physical work environment on employee performance. These findings indicate that improving employee performance is more effective through providing the right incentives and increasing work motivation compared to improving the physical work environment alone.

This study aims to examine the impact of digital transformation in accounting and the effectiveness of internal control systems on the quality of financial reports in an integrated logistics services company. The method used is a quantitative approach using Structural Equation Modeling-Partial Least Squares (SEM-PLS), with data collected from 35 respondents who are involved in financial and accounting activities within the company. The analysis focuses on evaluating the relationships between digital transformation, internal control systems, and financial reporting quality. The research findings indicate that digital transformation in accounting (coefficient = 0.658; p-value = 0.000) and internal control systems (coefficient = 0.308; p-value = 0.023) have a positive and significant effect on the quality of financial reports. Furthermore, the coefficient of determination (R²) value of 0.822 shows that both independent variables are able to explain 82.2% of the variation in financial report quality, while the remaining percentage is influenced by other factors outside the model. These results confirm that the implementation of digital technology supported by an effective internal control system can significantly improve the accuracy, relevance, timeliness, and reliability of financial reporting in organizations.

This study aims to test the influence of digital literacy and the use of accounting applications on the effectiveness of MSME information systems with user competence as a mediating variable. The research sample amounted to 100 MSME actors in Gresik City who were selected using purposive sampling techniques according to the research criteria. Data testing was carried out using a quantitative approach using the Structural Equation Modeling–Partial Least Square (SEM-PLS) method through the SmartPLS application. The results of the study show that digital literacy and the use of accounting applications have a positive effect on the effectiveness of MSME information systems. Meanwhile, user competence does not have a significant effect and is unable to mediate the influence of digital literacy and the use of accounting applications on the effectiveness of information systems. This research is expected to provide benefits for MSME actors in increasing the use of digital technology and accounting applications, as well as become an academic reference for future research. The limitations of this study lie in the scope of the MSME scale, which has not considered external factors, and the research model that has not fully explained the role of user competence as a mediating variable.

Indonesia is in an earthquake-prone region, therefore, designing building constructions that can withstand seismic loads is crucial in civil engineering. Reinforced concrete shear walls are one of the vertical structural fundamentals that are effectively used in multi-story buildings to withstand lateral forces due to earthquake and wind loads. Structures that use shear walls can increase stiffness and reduce horizontal deviations (deflections) of buildings, which contribute to the stability and safety of structures based on the SNI 1726:2019 standard. This study aims to analyze the effect of shear wall configurations on deviation and torsion requirements in multi-story building planning. The study object is a 6-story reinforced concrete building model in a specific earthquake zone. The design and modeling were performed using structural analysis software, taking into account columns, beams, slabs, and shear walls. The analysis results show that optimal placement of shear walls at the building edges significantly reduces horizontal drift, torsion, and shear forces, and improves the structural performance level compared to structures without shear walls or those with less effective placement. Structures with shear walls have optimal stiffness in absorbing lateral forces, making them more resistant to damage from the planned earthquake.

This study aims to examine the factors that influence students’ interest in learning Islamic Religious Education (PAI) at SMA Daruttaqwa Dahanrejo Kebomas Gresik. The research applies a qualitative method using a case study approach. Data collection was carried out through in-depth interviews with students, teachers, and administrative staff, as well as direct observation of the PAI learning process. The results reveal that students’ learning interest is shaped by both internal and external factors. Internal factors include individual characteristics, intellectual ability, and psychological conditions. Meanwhile, external factors consist of the role of competent teachers, parental support, the availability of facilities and infrastructure, and a supportive learning environment. The implementation of PAI learning involves various methods, such as lectures, storytelling of prophets and pious scholars, question-and-answer activities, the use of social and visual media, assignments, discussions, and role modeling. Factors that enhance learning interest include teacher motivation, family support, a conducive environment, alignment with students’ interests, and the quality of learning materials. The primary obstacle identified is the suboptimal management and scheduling of instructional time.

Stock market volatility represents a key indicator of financial market uncertainty, particularly in emerging economies where market structures are still evolving and are highly sensitive to global shocks. This study aims to analyze and compare the volatility dynamics of stock markets in four Asian emerging economies: Indonesia, India, Malaysia, and Thailand. The research employs a quantitative approach using daily stock index data from January 2011 to January 2026 obtained from Yahoo Finance. Stock returns are calculated using logarithmic transformation and analyzed using the Generalized Autoregressive Conditional Heteroskedasticity (GARCH(1,1)) model. Prior to model estimation, stationarity and ARCH effect tests are conducted to ensure the validity of volatility modeling. The empirical findings indicate that all return series exhibit non-normal distribution, strong volatility clustering, and significant ARCH effects. The estimation results show that both ARCH and GARCH parameters are statistically significant, with persistence levels close to unity across all markets, implying that volatility shocks tend to persist over a long period. These findings suggest that emerging stock markets in Asia are highly sensitive to external shocks and exhibit long-memory volatility behavior. The results provide important implications for investors and policymakers in designing effective risk management and market stabilization strategies.

This study was conducted to systematically explore the influence of the level of ease of transactions and the quality of e-commerce services on the process of determining consumer purchasing decisions in Batam City. The research framework was built with a descriptive-oriented quantitative approach through the involvement of 100 respondents who actively utilize digital transaction services, which were determined using a purposive sampling technique based on the Lemeshow formulation to ensure the adequacy and representativeness of the sample. Empirical data were collected through a structured questionnaire and then processed using statistical analysis stages that included testing the validity and reliability of the instrument, evaluation of classical assumptions, multiple linear regression modeling, and verification of hypotheses through t-tests and F-tests. The results of data processing revealed that the variable of ease of transactions contributed 18.8% to purchasing decisions, while service quality contributed an influence of 63.5%. The coefficient of determination (R²) reaching 73.3% indicates that both independent variables simultaneously have substantial explanatory power towards variations in consumer purchasing behavior. Both partial and simultaneous testing confirmed a significant influence, thus confirming that simplifying transaction mechanisms and strengthening digital service quality are strategic determinants in driving e-commerce consumer purchasing decisions in Batam City.

This study aims to comprehensively examine the role of brand image, trust, and promotional intensity in shaping purchasing decisions for Maybelline two-way cake cosmetic products in Batam City. The implemented research design adopted a descriptive quantitative approach involving 204 participants who had actual experience in purchasing the product in question. Respondents were determined through purposive sampling technique based on Jacob Cohen's calculations to ensure empirical representativeness of the research sample. Primary data were collected through the distribution of structured questionnaire instruments, then processed and analyzed using hierarchical statistical stages that included testing the validity and reliability of the instrument, verification of classical assumptions, multiple linear regression modeling, and hypothesis testing through partial (t) and simultaneous (F) tests. Empirical findings indicate that brand image contributes 23.9% to purchasing decisions, trust influences 39.1%, while promotion contributes the most dominant influence at 14.7%. The coefficient of determination (R²) value of 82.9% indicates that the three independent variables are simultaneously able to explain variations in consumer purchasing decisions in a substantial proportion. The results of both partial and simultaneous tests confirm a positive and significant influence between brand image, trust, and promotion on purchasing decisions for Maybelline cosmetics in Batam.

The use of moldboard plows in agricultural land preparation often faces wear problems on the share component, leading to increased maintenance time and reduced operational efficiency. This study aims to design and analyze a modular concept for the plow share to improve maintenance and repair efficiency without compromising structural performance. The research methods include field observation, component dimension measurement, design modeling using CAD software, and structural analysis using the Finite Element Analysis  (FEA) method. In addition, maintenance ease was evaluated through a questionnaire based on a rating scale. The results show that the modular design significantly improves maintenance and repair efficiency, with an average score of 4.59 categorized as very good. Structural analysis indicates that the modular design reduces maximum stress on the moldboard and slightly decreases deformation, reflecting improved structural stiffness compared to the conventional design. However, the Safety Factor on the share component remains below the acceptable limit, indicating the need for further development. Overall, the modular design provides an effective solution to enhance maintenance efficiency while maintaining the structural performance of the moldboard plow.

This study aims to elaborate on the determinants of consumer purchasing decisions by emphasizing the role of social media, trust levels, and product quality in the Blibli e-commerce ecosystem in Batam City. The applied methodological framework is based on a descriptive quantitative approach involving 204 respondents with active transaction track records, selected through a purposive sampling technique based on the Jacob Cohen formula to ensure proportionality and validity of sample representation. Empirical data were collected through a structured questionnaire, then processed using comprehensive statistical analysis stages that include instrument validity and reliability testing, classical assumption evaluation, multiple linear regression modeling, and hypothesis testing through partial (t) and simultaneous (F) tests. The analysis results revealed that social media intensity contributed 14.1% to purchasing decisions, trust influenced 36.0%, while product quality influenced 40.4%. The coefficient of determination (R²) value of 86.4% indicates that the three exogenous variables simultaneously have substantial explanatory power towards variations in purchasing decisions. The t-test and F-test findings consistently confirm the significant influence of both individual and collective factors, thus confirming that strengthening digital presence, platform credibility, and consistent product quality are strategic foundations in guiding the preferences and purchasing intentions of Blibli consumers in Batam City.

The increasingly tight competition in the textile and garment industry has led to the optimal management of capital structure and microfinance to increase the value of the company. This study aims to analyze the influence of microfinance and capital structure on the value of the company with profitability as an intervening variable. The method used is a quantitative method with secondary data obtained from the financial reports of textile and garment companies registered in the Indonesian Financial Services Authority for the period 2020–2024. Data analysis was conducted using Structural Equivalence Modeling-Partial Least Square (SEM-PLS). The results of the study indicate that microfinance has a positive and significant effect on profitability and firm value. Meanwhile, capital structure has a positive but insignificant effect on profitability and a negative and insignificant effect on firm value. Profitability is proven to have a positive and significant effect on firm value, but is unable to mediate the influence of microfinance and capital structure on firm value. Thus, the findings of this study confirm that profitability fails to be an integrating variable.

This study aims to evaluate the determinants of organizational sustainability within the Doctor Peduli Foundation (doctorSHARE), specifically regarding its Floating Hospital program. Specifically, it examines the influence of stakeholder support and operational efficiency on organizational sustainability, while analyzing the role of organizational innovation as a mediating variable in ensuring the continuity of medical services in remote areas. Employing a quantitative approach with a survey method, data were collected from 81 respondents comprising staff and volunteers directly involved in the Floating Hospital's operations. Structural Equation Modeling (SEM) was utilized to analyze the data and test the proposed hypotheses.The results reveal that stakeholder support does not have a significant direct impact on either organizational sustainability or innovation performance. Conversely, operational efficiency emerged as a dominant factor with a significant positive influence. Furthermore, organizational innovation was found to play a crucial role as a mediator, strengthening the impact of operational efficiency on organizational sustainability.This study concludes that the sustainability of non-profit organizations such as doctorSHARE is determined more by management's ability to optimize internal resources efficiently and innovatively than by reliance on external support. Consequently, strengthening internal operational systems should be a primary strategic priority to ensure long-term organizational existence.

This study analyzes the effect of capital structure and firm growth on firm value with dividend policy as a mediating variable in property and real estate companies listed on the Indonesia Stock Exchange for the period 2019-2024. The volatility of the property sector influenced by global and domestic economic conditions encourages the importance of understanding firm value formation mechanisms. The research method uses a quantitative approach with purposive sampling technique resulting in 66 observations from 11 companies during the research period. Data analysis uses Partial Least Squares-Structural Equation Modeling through SmartPLS application to test relationships between variables. The results show that capital structure and firm growth have no direct significant effect on firm value, but have a significant negative effect on dividend policy. Dividend policy has a significant positive effect on firm value and is able to fully mediate the effect of capital structure and firm growth on firm value with Variance Accounted For values of 151.6% and 90.4% respectively. These findings confirm the importance of dividend policy as a credible signaling mechanism regarding the company's ability to generate sustainable cash flows in creating value for shareholders amid the volatility of Indonesia's property sector.  

Differential equations involve derivatives of unknown functions and are widely used in mathematical modeling of various real-world problems. They can be classified based on linearity, homogeneity, coefficients, number of independent variables, degree, and order, thus requiring appropriate solution methods. One commonly used approach is the reduction of order method, which simplifies equations by reducing their order step by step. However, this method generally requires the solution of the corresponding homogeneous equation as an initial step. This study aims to solve nonhomogeneous linear ordinary differential equations of order with constant coefficients using the reduction of order method without determining the homogeneous solution. This research is a theoretical study based on relevant references concerning solution methods and types of differential equations. The procedure consists of two main stages: determining the fundamental symmetric polynomial variables based on the coefficients and constructing a sequence of solutions through first-order linear differential equations obtained from the reduction process. The results show that this method systematically produces the general solution of linear differential equations of order , making it an effective and efficient alternative approach

Patient safety culture is a critical component in healthcare organizations, reflecting the values, attitudes, competencies, and behavioral patterns that ensure safe patient care. This study aims to analyze the influence of knowledge and work environment on patient safety culture, with attitude serving as an intervening variable. A quantitative approach with an explanatory causal design was employed, involving 118 nurses as respondents selected through total population sampling. Data were collected using structured questionnaires and analyzed using Structural Equation Modeling with Partial Least Squares. The findings reveal that both knowledge and work environment have a significant direct effect on patient safety culture. Additionally, knowledge and work environment significantly influence attitudes, while attitudes themselves have a significant effect on patient safety culture. However, attitude does not mediate the relationship between knowledge and patient safety culture, but it does mediate the influence of the work environment on patient safety culture. These results indicate that improving nurses’ knowledge and creating a supportive work environment are essential strategies for strengthening patient safety culture. The study also highlights the importance of fostering positive attitudes through organizational support and conducive working conditions. The implications suggest that hospital management should focus on continuous training programs, enhancing workplace conditions, and developing systems that promote positive behavioral attitudes among healthcare workers to improve overall patient safety outcomes.