Publication Search

Cattle farming plays a strategic role in rural economic development by generating employment, supplementary household income, and contributing to food and nutritional security. However, in Indonesia, most smallholder cattle enterprises remain traditional and small-scale, leading farmers to treat livestock farming primarily as a secondary livelihood. While previous studies have largely focused on technical adoption and production performance, limited attention has been given to farmers’ psychological interest as a foundation for sustaining livestock enterprises. Therefore, this study aims to analyze the level of community interest in cattle farming and examine the influence of farmers’ characteristics (age, education level, herd size, number of family dependents, farming experience, and primary income) on such interest. A quantitative survey was conducted involving 34 cattle farmers in Taji Village, Jabung District, Malang Regency, selected using total sampling. Data were collected through structured questionnaires and analyzed using multiple linear regression. The findings reveal that community interest in cattle farming is generally high, as reflected in emotional (3.93), cognitive (3.81), and conative (3.74) dimensions measured on a four-point Likert scale. Regression results indicate that age has a significant positive effect (p = 0.022), whereas farming experience has a significant negative effect (p = 0.025) on interest levels. Other variables show no statistically significant influence. These findings highlight that psychological engagement in cattle farming is shaped more by demographic and experiential factors than by formal education or income level. The study contributes to the literature by positioning interest as a psychological determinant of livestock sustainability. Policy implications emphasize the urgency of risk-mitigation extension programs to address farmer burnout, incentivized intergenerational knowledge transfer, and cooperative-based institutional support to ensure smallholder livestock sustainability.

The objective of this study is to determine the influence of teacher teaching style on student learning motivation in Islamic Religious Education at SMP Muhammadiyah 1 Wonosobo. The approach used in this study is a quantitative approach with a causal associative method. Data collection was conducted through the distribution of questionnaires to 144 respondents selected using probability sampling technique. Data were collected using questionnaires for the learning motivation variable and the teaching style variable. The technique analysis applied in this study is a simple linear regression analysis with the help of SPSS program. The results of this study indicated the the teacher teaching style has a significant and positive influence on student learning motivation in Islamic Religious Education subjects at SMP Muhammadiyah 1 Wonosobo. This result was proven by the results of the T-test which showed that the significance value of the regression model of this study is greater than the significance level value. Based on these results, it is suggested for Islamic Religious Education teachers at SMP Muhammadiyah 1 Wonosobo to apply adaptive and innovatice teaching style to maintain and increase student learning motivation.

Embroidery is one of Indonesia’s traditional craft arts that has developed over time and continues to attract people from various social backgrounds. Embroidery techniques are commonly applied to fashion products as well as household items. The diversity of embroidery motifs and techniques provides aesthetic value and uniqueness to each product, making embroidery an important element in the development of the fashion industry. This opportunity can encourage students of the Fashion Design Program at AKS Ibu Kartini to develop their entrepreneurial potential through creativity in manual embroidery. This study employed a quantitative approach using multiple linear regression analysis as the data processing technique to determine the influence of internal factors on the entrepreneurial motivation of Fashion Design students at AKS Ibu Kartini. The research sample consisted of 65 respondents. The findings revealed that, simultaneously, the four independent variables had a significant effect on entrepreneurial motivation, with a coefficient of determination (R²) value of 0.910. This indicates that 91% of the variation in entrepreneurial motivation can be explained by technical knowledge (X1), technical skills (X2), creativity and innovation (X3), and entrepreneurial mindset (X4), while the remaining 9% is influenced by other factors outside this study. Partially, variables X1, X2, and X4 showed a positive and significant effect on entrepreneurial motivation, whereas X3 demonstrated a negative and significant effect. This finding indicates that creativity without market orientation may reduce students’ motivation to engage in entrepreneurship. The implications of this study emphasize the importance of improving students’ knowledge, skills, and entrepreneurial mindset. Furthermore, proper guidance is needed to ensure that students’ creativity and innovation are aligned with market demands in order to optimally enhance entrepreneurial motivation.

This study examines the influence of work discipline, employee motivation, and work environment on employee performance at the Office of Women Empowerment, Child Protection, Population Control, and Family Planning (DP3AP2KB) of Batam City. The research applies a quantitative approach with an associative design to determine the relationship and influence among variables. Data were collected from all employees using a structured questionnaire that had been tested for validity and reliability to ensure the accuracy of the research instrument. The analysis technique used is multiple linear regression to evaluate both partial and simultaneous effects of the independent variables on employee performance. The findings indicate that work discipline, motivation, and work environment collectively contribute significantly to improving employee performance. Individually, each variable also shows a meaningful and positive effect, reflecting the importance of both internal and external factors in shaping employee outcomes and productivity. These results imply that strengthening discipline, enhancing employee motivation, and creating a supportive, comfortable, and conducive work environment are essential strategies for improving organizational performance and achieving institutional goals effectively. Therefore, organizations are encouraged to implement policies and programs that support employee development, maintain a positive work atmosphere, and improve overall work quality in a sustainable manner.

This study examines the influence of technology utilization, records management, infrastructure, and training on employee performance at the Regional Financial and Asset Management Agency (BPKAD) of Batam City. A quantitative approach with an associative design was employed to identify relationships between variables and measure their effects. The study involved 89 employees as respondents using a saturated sampling method to ensure all members of the population were included. Data were collected through structured questionnaires and analyzed using multiple linear regression along with F-test and t-test to assess both simultaneous and partial effects. The findings reveal that all independent variables simultaneously have a significant impact on employee performance, while individually technology, records management, infrastructure, and training also demonstrate significant positive effects. These results indicate that the effective use of digital systems, well-organized archival practices, adequate and supportive facilities, and continuous training programs play a crucial role in enhancing employee performance and productivity, as well as improving efficiency, accuracy, and overall organizational effectiveness. The study suggests that organizations should strengthen technological implementation, improve document management systems, provide sufficient work facilities, and conduct sustainable training programs to achieve optimal and long-term organizational outcomes.

This study aims to analyze the influence of entrepreneurship education and motivation on students' entrepreneurial interest. The background of this study is based on the low interest of students in entrepreneurship despite having received entrepreneurship education at university. This study uses a quantitative approach with an associative method. The study population was students of the Management Study Program, Class of 2022, STIE Bina Karya Tebing Tinggi, with a purposive sampling technique in accordance with certain criteria determined by the researcher. Data were collected through questionnaires and analyzed using multiple linear regression. The results show that motivation has a positive and significant effect on entrepreneurial interest, while entrepreneurship education has no significant effect partially. However, simultaneously, both variables have a significant effect on entrepreneurial interest. The coefficient of determination shows that the variables of entrepreneurship education and motivation can explain 54.8% of entrepreneurial interest, while the remainder is influenced by other factors outside the study. The implications of this study emphasize the importance of increasing motivation and strengthening more practical entrepreneurship learning to be able to encourage student interest in entrepreneurship.

This study aims to analyze the factors that influence cognitive development and the role of learning motivation in the learning process of teacher training students. Using a quantitative approach with a descriptive correlational design, this study involved 120 students from four study programs at the Faculty of Teacher Training and Education (FKIP) Galuh University, selected by purposive sampling from active students who regularly participate in lectures. The instruments used were a cognitive development questionnaire based on Piaget's theory and Bloom's taxonomy, and a learning motivation questionnaire with a Likert scale of 1–5. Data were analyzed using descriptive statistics, Pearson correlation, and simple and multiple linear regression. The results showed that cognitive development (β = 0.43, p < 0.01) and learning motivation (β = 0.37, p < 0.05) each had a significant influence on student achievement. A strong positive correlation between the two variables indicates a mutually supportive relationship. Academic environmental factors, independent learning strategies, and lecturer support were identified as the main drivers of cognitive development. These findings emphasize the need for higher education to integrate learning approaches that address students' cognitive development while simultaneously fostering intrinsic motivation to improve learning quality and future professional readiness.

This quantitative study examines the influence of information quality, work engagement, and leadership style on decision making effectiveness among employees of a manufacturing company. Data were collected from 100 respondents using accidental sampling technique. Multiple linear regression analysis revealed that all three independent variables simultaneously affect decision making effectiveness. Partially, information quality, work engagement, and leadership style each have significant positive effects on decision making effectiveness. Leadership style demonstrates the strongest influence, followed by information quality and work engagement. The regression equation indicates positive contributions from all predictors. The coefficient of determination shows that the three predictors collectively explain a substantial portion of variance in decision making effectiveness. Findings suggest manufacturing companies should prioritize transformational leadership development programs, conduct information system audits, and implement work engagement initiatives to enhance decision making effectiveness. Future research should expand to other industries, add organizational culture variables, and employ longitudinal designs.

This research is motivated by the increasing use of TikTok Shop as a social commerce platform that makes it easier for consumers to make purchases through interactive features and various price promotion strategies. This study aims to analyze the influence of ease of use and price perception on purchase decisions on TikTok Shop. The population in this study is students of the Management Study Program of the University of Muhammadiyah Makassar class of 2022–2025, with a sample of 95 respondents determined using the Slovin technique. The analysis method used is multiple linear regression supported by validity, reliability, and classical assumption tests. The results of the study show that ease of use and partial price perception have a positive and significant influence on purchase decisions on TikTok Shop. High ease of use can increase consumer convenience in transactions, while good price perception encourages consumers to make purchase decisions. The implications of this study show the importance of improving the quality of the system and pricing strategies in supporting consumer purchase decisions on social commerce platforms

This study aims to analyze the effect of financial literacy and lifestyle on financial management of students of the Management Study Program at Universitas Pamulang. This research uses a quantitative method with an associative approach, with data collected through questionnaires distributed to 160 respondents. Data analysis was conducted using validity tests, reliability tests, classical assumption tests, simple and multiple linear regression analysis, t-test, F-test, and coefficient of determination (R²). The results show that partially financial literacy has a positive and significant effect on financial management with a t-value of 7,161 > t-table 1.975 and a significance value of 0.000 < 0.05, while lifestyle also has a positive and significant effect with a t-value of 6,881 > t-table 1.975 and a significance value of 0.000 < 0.05. Simultaneously, financial literacy and lifestyle have a significant effect on financial management with an F-value of 853.671 > F-table 3.05 and a significance value of 0.000 < 0.05. The coefficient of determination of 0.916 indicates that 91,6% of the variation in students’ financial management is explained by financial literacy and lifestyle, while the remaining 8,4% is influenced by other factors outside this study.

Micro, Small, and Medium Enterprises (MSMEs) constitute the backbone of Indonesia's national economy, contributing approximately 61% of GDP and absorbing 97% of the total workforce; however, the majority of MSME actors, particularly in eastern Indonesia, continue to face structural barriers in digital technology adoption and capital access that constrain optimal business performance. This study aims to analyze the partial and simultaneous effects of marketing digitalization and business capital on MSME performance in Ambon City. A quantitative approach with associative-causal design was employed, involving 30 respondents selected through purposive sampling from active MSME operators in Ambon City. Data were collected via a five-point Likert scale questionnaire and analyzed using multiple linear regression with IBM SPSS version 26, preceded by validity, reliability, and classical assumption tests. Results demonstrate that marketing digitalization exerts a positive and significant partial effect on MSME performance (t = 8.060; sig. = 0.000; β = 1.061), establishing it as the most dominant predictor in the model. Conversely, business capital shows no significant partial effect (t = 0.746; sig. = 0.462), attributable to the homogeneity of capital access among MSME actors in archipelagic regions. Simultaneously, both variables significantly influence MSME performance (F = 287.070; sig. = 0.000), with an exceptionally high R Square of 0.955, indicating that 95.5% of performance variance is collectively explained by the two predictors. These findings underscore the critical role of digital marketing capabilities over financial resources alone in archipelagic contexts. It is recommended that the Ambon City Government integrate digital marketing literacy training programs synergistically with inclusive financing schemes to comprehensively strengthen MSME competitiveness across the Maluku archipelago.

This study examines the predictive influence of religious habituation and teacher role modeling on students’ emotional intelligence in an Islamic elementary school context. A quantitative approach with an ex post facto design was employed, involving 78 students selected through total sampling. Data were collected using Likert-scale questionnaires and analyzed using multiple linear regression. The findings indicate that religious habituation has a positive and significant effect on students’ emotional intelligence, while teacher role modeling demonstrates a relatively stronger contribution. Simultaneously, both variables significantly predict emotional intelligence, explaining 74.9% of its variance. These results suggest that students’ socio-emotional development is shaped by the integration of structured religious practices and pedagogical modeling within the school environment. The study contributes to the ecological-religious perspective on character education by emphasizing the importance of consistent spiritual habituation and teachers’ personal competence in fostering emotional regulation and social skills. Practically, Islamic elementary schools are encouraged to strengthen religious culture programs and support teachers’ emotional and moral development to enhance students’ emotional intelligence.

This study aims to analyze the level of financial literacy and examine its influence on the household welfare of vegetable farmers. Agricultural households, particularly smallholder vegetable farmers, frequently experience economic vulnerability due to several structural challenges such as unstable agricultural income, seasonal production patterns, fluctuating market prices, limited access to formal financial services, and inadequate financial management skills. These conditions often make farm households more susceptible to economic shocks, including crop failure, input price increases, or sudden market price declines. In this context, financial literacy becomes an essential capability that enables farmers to manage their financial resources more effectively.This research employed a quantitative research design using a survey approach. The study involved 120 vegetable farmers selected as respondents from major vegetable-producing areas. Data were collected through structured questionnaires designed to measure farmers’ financial literacy levels and household welfare conditions. Financial literacy was assessed through indicators such as financial knowledge, financial behavior, and financial attitudes, while household welfare was evaluated based on indicators including consumption stability, education and health expenditures, savings capacity, and overall economic resilience. The collected data were analyzed using descriptive statistics to describe the characteristics and financial literacy levels of respondents, and multiple linear regression analysis to examine the relationship between financial literacy and household welfare.The results of this study highlight the importance of strengthening financial education programs targeted at agricultural communities. Improving financial literacy among vegetable farmers can contribute not only to better household financial management but also to broader rural economic development. Therefore, financial education initiatives should be integrated into agricultural extension programs, farmer group activities, and local government development strategies. Such initiatives may include training in household financial planning, simple bookkeeping for farm businesses, savings management, and responsible credit use. By enhancing farmers’ financial capabilities, these programs can help improve household welfare, strengthen rural economic resilience, and support the long-term sustainability of the agricultural sector.

This study examines the application of Transparent Artificial Intelligence (AI) for fraud detection in public welfare programs using publicly available administrative data. Persistent challenges in welfare governance such as misallocation, fraud, and data inaccuracy necessitate analytical frameworks that are both effective and explainable. The research aims to design and evaluate an interpretable anomaly detection system capable of identifying irregularities in welfare distribution while maintaining transparency and accountability. Methodologically, the study employs two unsupervised models Isolation Forest and Local Outlier Factor (LOF) to detect anomalies in sub-district-level welfare data, incorporating features such as population size, number of beneficiaries, and coverage ratio. An Explainable AI (XAI) framework integrating surrogate Random Forests, Permutation Feature Importance (PFI), and local linear surrogates (LIME-like) is applied to ensure interpretability of both global and local model behaviors. Findings reveal that receivers per 1000 population and percentage coverage are dominant determinants of anomaly scores. Fifteen administrative units were flagged for potential inconsistencies suggesting over- or under-reporting of beneficiaries. Cross-validation between IF and LOF models confirmed consistency in identifying anomalous regions. The integrated XAI explanations enhance transparency, enabling policymakers and auditors to trace the rationale behind detected anomalies. In conclusion, the proposed Transparent AI framework demonstrates that combining anomaly detection with interpretability tools can strengthen accountability and fairness in welfare administration. It offers a reproducible, ethical, and data-driven approach to social program monitoring, reinforcing public trust and supporting responsible AI governance.

This study aims to examine the effect of Asset Structure, Profitability and Sales Growth on Capital Structure at PT Industri Jamu Dan Farmasi Sido Muncul Tbk for the 2014-2024 period, both partially and simultaneously. Asset structure is measured by total assets, profitability is measured by return on assets, sales growth is measured by sales growth, and capital structure is measured by debt to equity ratio. This study is a quantitative study with an associative approach. The data used in this study are the balance sheet and income statement of PT. Industri Jamu Dan Farmasi Sido Muncul Tbk for the 2014-2024 period. The method used in this study is multiple linear regression analysis techniques, classical assumption tests, t-tests, f-tests and coefficients of determination processed using the SPSS 26 program. The results of the study show that asset structure does not affect capital structure with a calculated t value of 2.288 t table 2.365. Sales growth does not affect the capital structure with a calculated t value of -0.203 < t table 2.365. And simultaneously, Asset Structure, Profitability and Sales Growth have an influence on the Capital Structure of the Company PT Industri Jamu Dan Farmasi Sido Muncul Tbk. Proven from the results of the f test, the calculated f value is 8.083 > f table of 4.35 and the sig value is 0.011 < 0.05.

This research is based on the understanding that increasing the number of entrepreneurs is a crucial element for a country's economic growth. The contribution of the younger generation, especially college graduates, is vital in improving the quality of human resources and driving national economic growth. This study aims to examine the influence of entrepreneurship learning and entrepreneurial motivation on the entrepreneurial interest of students in the Economics Education study program at PGRI Wiranegara University. This education also has the potential to reduce unemployment and make entrepreneurship a promising career path. In addition to physical capital, interest and courage in entrepreneurship are crucial intangible assets for students in optimizing their potential and contributing to the country's economic growth. The method used in this study was quantitative with an associative design. Data were collected by distributing questionnaires to Economics Education students from the classes of 2021, 2022, and 2023 who had completed the "Entrepreneurship" course. Validity was tested using the Pearson correlation coefficient, while reliability was tested using the Cronbach's Alpha method. Data analysis was performed using multiple linear regression. Based on the results obtained, it was concluded that entrepreneurship learning and entrepreneurial motivation have both partial and simultaneous effects on entrepreneurial interest among students in the Economics Education Study Program at Universitas PGRI Wiranegara.

The property and real estate sub-sector serves as a strategic pillar for investment in Indonesia, despite BPS (2023) data showing a growth slowdown to 2.18% due to macroeconomic pressures. Financial performance throughout the 2021–2024 period exhibited significant volatility, with profit growth contracting to –5% in 2022 before rebounding to 15% in 2024. These fluctuations reflect the dynamics of economic recovery and the success of corporate operational efficiency in navigating interest rate hikes and inflation. This study aims to determine the effect of Company Size, Capital Structure, Return on Assets (ROA), and Total Asset Turnover (TATO) on Profit Growth. The population used in this study is the Property & Real Estate sub-sector companies listed on the Indonesia Stock Exchange for the 2021–2024 period. This study uses secondary data with a population of 68 companies. The sampling technique used a purposive sampling technique, resulting in a research sample of 30 Property & Real Estate sub-sector companies. The analysis technique used is multiple linear regression analysis processed using the Statistical Package for the Social Sciences (SPSS) program. The results show that Capital Structure, Return on Assets, Total Asset Turnover, and Company Size influence Profit Growth.

Mental health is a very important element in supporting students' academic success. As a group at a vulnerable age, students often face academic, social, and psychological pressures that can affect their mental health and academic performance. This study aims to examine the impact of mental health on the academic performance of students at the Faculty of Economics, Pasim National University. The method used in this study is a quantitative approach with data collection through questionnaires. The research subjects consisted of 123 students in their first semester, where the sample included 94 respondents selected using the Slovin formula. The data were analyzed using SPSS software, including validity, reliability, and normality tests, simple linear regression, coefficient of determination, and ANOVA. The findings of this study indicate that all measurement tools used are valid and reliable. Normality testing shows that the data have a normal distribution. The regression analysis results showed a significant positive effect of mental health on students' academic performance. An R-squared value of 0.410 indicates that mental health contributes 41% to the variation in students' academic results, while the remaining 59% is influenced by other factors. The results of the ANOVA also showed a significance level of 0.000 (<0,05). confirming the suitability of the regression model. Therefore, it can be concluded that mental health plays a significant role in improving student academic achievement. This research is expected to provide educational institutions with a basis for designing mental health support policies and programs to improve student academic quality.

This study aims to compare the performance of Multiple Linear Regression (MLR) and Random Forest Regression (RFR) in predicting student performance based on academic scores. Student performance is defined as the average of math scores, Reading Scores, and writing scores. This study uses a quantitative approach with a comparative design based on predictive modeling. The data used is secondary data from the Student Prediction dataset obtained through the Kaggle platform, which was processed using the Python programming language through the Google Colab platform. The analysis stages included the formation of performance variables, the separation of training and test data with a ratio of 80:20, model training, and evaluation using the Mean Squared Error (MSE), Mean Absolute Error (MAE), and coefficient of determination (R²) metrics. The results show that the Multiple Linear Regression model produced an MSE value of 2.74 × 10⁻²⁸, an MAE of 1.51 × 10⁻¹⁴, and an R² of 1.000. Meanwhile, Random Forest Regression produced an MSE of 0.296, an MAE of 0.375, and an R² of 0.998. These findings indicate that both models have a very high level of accuracy, but Multiple Linear Regression provides the best performance. This is due to the strong linear relationship between the input variables and the target variables formed directly from the combination of academic values. Thus, the linear regression model is proven to be more suitable for use in data structures that have simple linear relationships compared to ensemble-based models.

This study analyzes the impact of learning motivation levels on student attendance discipline at the Saint Ignasius Catholic Vocational School in Wairterang. The background of the problem highlights the low level of student attendance, which is caused by the lack of intrinsic and extrinsic motivation in the vocational education environment. This phenomenon impacts the effectiveness of learning and overall student achievement. The purpose of the study is to identify the causal relationship between learning motivation and attendance discipline, and to measure the significant influence of motivation variables on attendance discipline. The approach used is quantitative with a Likert-scale questionnaire survey method. The study sample involved students in grades X-XII at the Saint Ignasius Catholic Vocational School in Wairterang, with data analysis using simple linear regression to test the hypothesis. The results of the study are expected to show a positive and significant influence of learning motivation on attendance discipline. Practical implications include recommended strategies for guidance and counseling (BK) teachers, such as individual counseling programs, attendance-based reward systems, and the integration of intrinsic motivation through vocational extracurricular activities. These strategies are expected to improve learning effectiveness and build students' disciplined character in vocational high schools