Jurnal Pendidikan Ekonomi dan Bisnis
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Artificial Intelligence Integration and Students’ Digital Literacy as Determinants of Learning Outcomes in an Economics Education Assessment Course
Full text linkEducation in the era of the Industrial Revolution 4.0 and Society 5.0 has undergone a substantial paradigm shift alongside the growing adoption of disruptive technologies, particularly artificial intelligence (AI), within learning processes. This study examines the influence of AI technology implementation and students’ digital literacy on learning outcomes in the Economics Learning Evaluation course. A quantitative survey design was applied involving fifth-semester undergraduate students enrolled in the Economics Education program. From a population of 90 students, a sample of 79 respondents was selected using random sampling based on the Isaac and Michael table at a 1% significance level. Data were collected through valid and reliable instruments and analyzed using partial regression and multiple regression techniques. The findings indicate that AI technology implementation and digital literacy each have a positive and statistically significant effect on students’ learning outcomes in the Economics Learning Evaluation course. The results confirm that the integration of AI technology, accompanied by adequate digital literacy, constitutes an essential factor in improving learning outcomes in economics education at the higher education level
The Moderating Role of Information Media in Generation Z’s Sharia Investment Decisions
Full text linkThis study examines the relationships among information quality, subjective norms, and behavioral control in influencing Generation Z’s Islamic investment decisions during the COVID-19 pandemic, while assessing the moderating role of information media. A quantitative method was employed using SmartPLS 3.0 for statistical analysis. Primary data were collected through purposive sampling of 500 Islamic investors between December 2021 and December 2022 using Google Forms, and all variables were measured with a Likert scale. The findings show that information quality and behavioral control had a positive and significant impact on Generation Z’s Islamic investment decisions during the pandemic. In contrast, subjective norms exhibited a negative relationship, implying that social pressure and external expectations did not consistently promote sharia-based investment behavior. Information media acted as a moderating factor that strengthened the relationship among information quality, subjective norms, and behavioral control in investment decision-making. The results suggest that digital media platforms provided access to timely, accurate, and relevant information, enhancing confidence among young Muslim investors. However, Islamic investment instruments remain limited compared to conventional alternatives. Therefore, expanding and diversifying Islamic financial products is essential to assist investors in developing sustainable and Sharia-compliant investment portfolios that promote ethical growth and long-term economic resilience.
Predicting Financial Outcomes from Environmental Costs in Shariah Green Accounting
Full text linkThis study aims to explore the relationship between environmental costs and financial performance in the Islamic finance sector using advanced machine learning techniques. By integrating CSR Expenditure, Energy Consumption, and Carbon Emissions as environmental factors, the research applies Gradient Boosting, XGBoost, and Artificial Neural Networks (ANN) to predict Retail Banking Revenue, Wholesale Banking Revenue, and Third-Party Funds. The objective is to evaluate how sustainability practices impact financial outcomes, using an innovative approach that combines economic modeling with computer-based prediction. The findings reveal that Gradient Boosting outperforms other models, demonstrating strong predictive accuracy, especially for Third-Party Funds and Wholesale Banking Revenue. XGBoost also provides valuable insights, while ANN struggles with overestimations, indicating the need for further optimization. This research underscores the growing significance of environmental sustainability in shaping financial performance and provides a computational framework for financial institutions and policymakers to assess the impact of green accounting on economic growth
Empowering Village Economies: Strategies for Leading Product-Based Development in Kudus Regency
Full text linkThe development of villages based on leading product potential is crucial for optimizing local resources and fostering sustainable economic growth, particularly in Kudus Regency, which is a prominent manufacturing industry agglomeration in Indonesia. This study aims to map regional leading products at the village level and formulate development strategies based on empirical commodity clustering approaches. The study employs a qualitative research design incorporating focus group discussions (FGD), questionnaires, with participatory approach, conducted in stages with 200 key informants, including government officials, community leaders, and business actors. The findings reveal that phased strategies and product clustering are effective in enhancing village competitiveness and addressing socio-economic disparities. Specifically, the identification of leading products and their integration into development plans, supported by diversified processing and integrated marketing strategies, significantly improve economic resilience. The study recommends that policymakers facilitate participatory planning, invest in infrastructure and market access, and promote technological innovation to maximize the impact of village development initiatives. These findings underline the importance of aligning village potentials with regional and national strategies to achieve holistic and sustainable growth.
Regional Fiscal Policy and The Phenomenon of Poverty in Indonesia
Full text linkThe poor population in Indonesia is unevenly distributed across districts and cities. This research aims to measure the impact of regional fiscal policy on reducing poverty levels. Regional financial transfers (TKD) serve as an instrument for central government intervention. The study also focuses on the classification of regional government spending and its relationship to poverty levels. Data were collected from 2016 to 2022 across Indonesian districts and cities, excluding regions with divergent data trends. The hypothesis posits that the impact of expenditure allocation across sectors varies in its effectiveness in alleviating poverty. To test this, the study employs a panel ARDL analysis to capture potential lag effects in the predictors. The main finding reveals the consistent influence of regional income on poverty reduction in both the short and long term. Meanwhile, TKD has a positive impact, as part of its fiscal gap component targets assistance to areas with high poverty levels. However, regional spending from various sources also shows a positive correlation with poverty rates, although with relatively low coefficient values. This suggests that poverty reduction is not yet a central focus of regional government spendin
Exploring the Path of Social Support During to Proactive Career Behavior through Resilience
Full text linkThis study investigates the role of social support as a predictor of students' proactive career behavior strengthened by resilience. This study focuses on dual-career students actively involved in the knowledge-based creative gig economy sector in Buleleng Regency, Indonesia. A total of 146 students were selected as respondents in the study using purposive sampling criteria, and the data were analyzed using Structural Equation Modeling (SEM) with Partial Least Squares (PLS). The result shows that social support has a positive and significant effect on proactive career behavior, with resilience as a mediator that strengthens this relationship. This finding provides new insights into the importance of social support for dual-career students in developing proactive behaviors to navigate career paths in the precarious world of the gig economy. This study underscores the importance of social support and resilience to strengthen student’s behavior in building networks and exploring career opportunities, primarily in the economy of the gig economy.
How Does Intellectual Capital Influence Intention to Start a Digital Innovation Business in Indonesia?
Full text linkThis study aimed to identify the intellectual capital (IC) influencing university students in pursuing digital innovation businesses. This study is urgent due to the lack of research on intellectual capital (IC) in Indonesia. Despite having sufficient background knowledge and education, the younger generation predominantly aims to become employees rather than entrepreneurs. This research involved a sample of 312 students from nine universities in Indonesia. The research employed a quantitative approach, utilizing data analysis, namely the Structural Equation Model (SEM). The results indicate that the components of intellectual capital, specifically knowledge and skills, the ability to recognize opportunities, and networks, exert a significant and positive influence on the creation of new digital businesses. The variable level of education exerts no influence. Students are expected to demonstrate improvement. This study recommends government action to enhance development, training, promotion, and communication with current entrepreneurs. Future research should focus on IC studies, particularly in other developing countries
Study of ChatGPT Utilization Behavior by Accounting Education Students: Extended UTAUT2 Model Perspective
Full text linkThe use of Generative Artificial Intelligence (GAI), such as Chat Generative Pre-Trained Transformer (ChatGPT), is experiencing a significant increase among students for educational purposes, including lectures, completing assignments, and compiling final projects. This study aims to analyze the use of ChatGPT by accounting education students and investigate their intentions and behavior using the extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. The study employed Partial Least Squares Structural Equation Model (PLS-SEM) analysis design with respondents from Accounting Education students at the Faculty of Economics and Business, Universitas Negeri Semarang (UNNES), totaling 134 students. The data collection technique used was a questionnaire distributed online via the Google Forms platform. Model testing was conducted first, followed by hypothesis testing in the PLS-SEM framework. Data analysis was conducted using the SmartPLS version 4.0 application. The results of the study showed that students' intention to use ChatGPT was more determined by performance expectancy and habit. Intention, facilitating conditions, and habits are significant predictors of use behavior. Intention can mediate the influence of habit on the actual behavior of students utilizing ChatGPT. In addition, extended-UTAUT2 constructs such as personal innovativeness, learning value, and novelty are unable to influence the intention and behavior of ChatGPT utilization by accounting education students.
The Effect of Self-Efficacy Mediation on Entrepreneurship Education and Entrepreneurial Intention
Full text linkThis study aims to investigate the effect of entrepreneurship education on entrepreneurial intention mediated by self-efficacy. It employed a quantitative approach with a sample of 175 students majoring in economics at Universitas Negeri Gorontalo (UNG). The study used primary and secondary data from observation, questionnaire, and documentation methods. The data analysis technique uses SEM-PLS 4 to test the relationship between variables. The study findings signify that entrepreneurship education’s effect is significant to entrepreneurial self-efficacy and intention. Entrepreneurial self-efficacy is significantly and positively related to entrepreneurial intention and completely mediates between entrepreneurial education and intention. Theoretically, this study contributes to education and entrepreneurial intentions. Then, this study provides practical implications for teachers to focus on creating entrepreneurial opportunities and platforms for students to improve their experiences.
Development of Electronic Textbook for Accounting Learning Evaluation Course
Full text linkThis study aims to examine the process of developing electronic textbooks for accounting learning evaluation courses to improve the quality of learning in accounting education study programs. The study followed Research and Development (R & D) with the ADDIE model (analysis, design, development, implementation, and evaluation). The students of the accounting education program at Universitas Negeri Surabaya were involved in this research. The findings indicated that electronic textbooks for accounting learning obtained very good responses with very appropriate interpretation criteria according to students’ needs. For this matter, this product is expected to be an alternative teaching material for students to enhance material understanding, learning independence, and learning motivation in the online course process of accounting learning evaluatio