Publication Search

Teacher performance is one of the key factors in determining the quality of education and the achievement of school objectives. Several factors that are assumed to influence teacher performance include transformational leadership style, work motivation, and work discipline. This study aims to analyze the effect of transformational leadership style, work motivation, and work discipline on teacher performance at SMK Negeri 1 Musuk Boyolali. The research employed a quantitative method with descriptive and verificative approaches. The population consisted of 50 teachers, and all members of the population were selected as respondents using a saturated sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression with the assistance of SPSS version 25. The results revealed that work motivation had a positive and significant effect on teacher performance. In contrast, transformational leadership style and work discipline did not have a significant partial effect on teacher performance. However, simultaneously, transformational leadership style, work motivation, and work discipline significantly affected teacher performance. The Adjusted R Square value of 0.324 indicates that these three variables explain 32.4% of the variation in teacher performance, while the remaining 67.6% is influenced by other factors outside the scope of this study. The findings imply that enhancing work motivation should be prioritized in efforts to improve teacher performance, while leadership and work discipline should continue to be strengthened to support a more effective working environment.

This quantitative study examines the impact of transactional leadership and reward systems on employees' extrinsic motivation at PT Konigs Multi Teknik, addressing earlier observations of low staff motivation. Utilizing a saturated sampling technique, the research involved the entire company population of 31 employees. Data collected through five-point Likert-scale questionnaires were analyzed via multiple linear regression using SPSS version 27, successfully satisfying all required classical assumption tests The partial test (t-test) results revealed that both transactional leadership and rewards exert a positive and significant influence on extrinsic motivation, with rewards standing out as the more dominant factor. Furthermore, the simultaneous test (F-test) confirmed that both variables jointly and significantly drive employee motivation, accounting for exactly 80.9 percent of its variance according to the adjusted R-square value. Ultimately, these findings suggest that companies must strategically combine consistent transactional leadership practices with a fair, transparent reward system to effectively boost overall motivation.

This study aims to analyze the influence of organizational culture and leadership on work discipline in employees of the Woja District Office, both partially and simultaneously. Using a saturated sample, all employees in the agency were directly involved as respondents as many as 45 respondents. Primary data were collected through a structured questionnaire and analyzed using multiple linear regression analysis techniques. The results of the study showed that partially, organizational culture had a positive and significant effect on employee work discipline, while leadership did not have a significant influence independently. However, simultaneous testing proves that organizational culture and leadership together have a positive and significant influence on shaping employee work discipline. These findings indicate that although personal leadership style is not the primary determinant of discipline that has been bound by bureaucratic regulations, the synergy between internalizing strong work culture values and leadership support remains an important combination for an orderly work ecosystem. This research provides practical implications for government organizations in strengthening work culture, increasing leadership effectiveness, and creating a work environment that is able to encourage employee compliance, responsibility, and productivity in a sustainable manner.

This study aims to analyze in depth the extent of the influence of content marketing and hedonic motivation on impulse buying in TikTok users, especially STIE Yapis Dompu students. This research illustrates a quantitative approach. The population of this study is all students who actively use the Tiktok Shop at STIE Yapis Dompu, the exact number of which is unknown. The number of samples used was 150. Non-probability sampling technique using the purposive sampling method. The data analysis in this study uses PLS-SEM Analysis. The results of the study showed that content marketing had a positive and significant effect on impulse buying, as evidenced by a t-statistical value of 3,116 > 1.96, and a p-value of 0.002 < 0.05. And hedonic motivation had a positive and significant effect on impulse buying, which was evidenced by a t-statistical value of 6,472 > 1.96, as well as a p-value 0.000 < 0.005. While the content marketing variable for hedonic motivation has a t-statistical value of 5,799 > 1.96, and a p-value of 0.000 < 0.05, content marketing has a positive and significant effect on hedonic motivation in STIE Yapis Dompu students.

The effectiveness of Village Fund management is an essential indicator of good village governance in achieving accountable financial management and improving community welfare. However, its implementation continues to face various challenges, particularly regarding financial transparency and the competence of village officials. This study aims to examine the influence of transparency and the competence of village officials on the effectiveness of Village Fund management in Blubuk Village, Losari District, Brebes Regency. A quantitative approach with an explanatory research design was employed. The study involved 30 respondents, consisting of all village government officials, selected using a saturated sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression with IBM SPSS Statistics. The findings indicate that transparency has a positive and significant effect on the effectiveness of Village Fund management. Likewise, the competence of village officials also has a positive and significant influence on the effectiveness of Village Fund management. Simultaneously, both independent variables significantly affect the effectiveness of Village Fund management, with an adjusted coefficient of determination of 88.8%, indicating that most of the variation in management effectiveness is explained by transparency and the competence of village officials. These findings imply that strengthening financial transparency and enhancing the capacity of village officials are essential strategies for improving effective, transparent, accountable, and sustainable Village Fund management.

The development of sustainable tourism villages requires the implementation of management practices that enhance environmental performance through environmentally oriented leadership, community participation, and stakeholder engagement in achieving sustainability goals. This study aims to examine the influence of green leadership and community involvement on green performance, with employee engagement serving as a mediating variable among the stakeholders and managers of Punten Tourism Village, Batu City. A quantitative approach with an explanatory research design was employed. The study involved all stakeholders and managers of Punten Tourism Village using a saturated sampling technique. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software. The findings reveal that green leadership and community involvement have positive and significant effects on green performance. Both variables also significantly enhance employee engagement, which, in turn, positively and significantly influences green performance. Furthermore, employee engagement partially mediates the relationships between green leadership and green performance, as well as between community involvement and green performance. These findings suggest that improving the environmental performance of tourism villages requires the integration of green leadership, active community involvement, and stronger stakeholder engagement to support the implementation of sustainable tourism practices.

Tomato (Solanum lycopersicum) is an economically important crop whose productivity is increasingly constrained by drought stress under changing climatic conditions. Conventional breeding for drought tolerance is often slow because this trait is quantitatively inherited and strongly influenced by environmental factors. Molecular markers, particularly Simple Sequence Repeats (SSRs), have become valuable tools for improving selection efficiency and accelerating breeding progress. This review examines the role of SSR markers in the development of drought-tolerant tomato cultivars. The physiological, biochemical, and molecular responses of tomato to drought stress, including growth reduction, photosynthetic impairment, osmotic adjustment, hormonal regulation, and oxidative stress responses, are briefly discussed. The genetic characteristics of SSR markers, including their high polymorphism, co-dominant inheritance, and multi-allelic nature, are highlighted as key advantages for genetic analysis and breeding applications. Furthermore, the review synthesizes recent findings on the use of SSR markers for genetic diversity assessment, Quantitative Trait Loci (QTL) mapping, and identification of genomic regions associated with drought-related traits such as relative water content, chlorophyll stability, root architecture, and proline accumulation. The application of SSRs in Marker-Assisted Selection (MAS), including marker-assisted backcrossing and QTL pyramiding, is also discussed. Finally, the review evaluates the continuing relevance of SSR markers in the genomic era, emphasizing their complementary role alongside Single Nucleotide Polymorphism (SNP) markers, Genome-Wide Association Studies (GWAS), and Genomic Selection (GS). Integrating SSR-based approaches with modern genomic tools offers a promising strategy for developing climate-resilient tomato cultivars and enhancing future food security.

This study examines the influence of financial literacy, Fear of Missing Out (FOMO), and influencer marketing on Generation Z's decision to use Buy Now Pay Later (BNPL) services in Dompu Regency. The rapid development of financial technology has encouraged the widespread adoption of BNPL as an alternative digital payment method, particularly among young consumers. However, the increasing use of this service also raises concerns regarding financial decision-making and consumer behavior. This research employed a quantitative approach using a survey method involving 100 Generation Z respondents selected through purposive sampling. Data were collected using a structured questionnaire with a five-point Likert scale and analyzed using multiple linear regression. The findings indicate that financial literacy has a positive and significant effect on BNPL usage decisions. Likewise, FOMO significantly influences individuals' decisions to utilize BNPL services, while influencer marketing also demonstrates a positive and significant contribution to users' decisions. Simultaneously, the three independent variables significantly affect BNPL usage decisions, explaining 27% of the variance in the dependent variable. These findings suggest that financial knowledge, psychological factors, and social influence collectively shape Generation Z's financial behavior. Therefore, strengthening financial literacy and promoting responsible use of digital financial services are essential to encourage more informed and sustainable financial decision-making.

This study aims to analyze the phenomenon of tax burden, tax compliance, and tax-saving strategies and their influence on business survival strategies in Indonesia’s retail and trade sector amid the economic slowdown in 2026. Indonesia’s economic growth declined to 4.2% in the first quarter of 2026 from 5.1% in the previous year, creating considerable pressure on business sustainability, particularly in the retail and trade sector. This research employed a quantitative approach using a survey method involving 120 retail and trade business owners located in Jakarta, West Java, and Banten. Respondents were selected through purposive sampling. Data were collected using a structured questionnaire that met validity and reliability requirements and were analyzed using multiple linear regression with SPSS version 26 after fulfilling the classical assumption tests. The results indicate that tax burden (B = 0.287; p < 0.001), tax compliance (B = 0.341; p < 0.001), and tax-saving strategies (B = 0.398; p < 0.001) each have a positive and significant effect on business survival strategies, both individually and simultaneously. The F-test (F = 62.847; p < 0.001) confirms the overall significance of the regression model, while the coefficient of determination (R² = 0.621) shows that the three independent variables explain 62.1% of the variance in business survival strategies. These findings suggest that effective tax management, combined with the lawful utilization of tax incentives, plays a crucial role in strengthening business resilience and ensuring the sustainability of retail and trade businesses during periods of economic uncertainty.

Pierhead casting is a critical activity in toll road infrastructure projects that requires continuous concrete supply to maintain quality and execution time. Factors influencing the smooth casting process include the regularity of truck mixer arrival intervals and the work cycle of the truck concrete pump. This study aims to analyze the effect of truck mixer intervals and truck concrete pump performance on the productivity of pierhead casting at Pierhead P37S on the Solo–Yogyakarta–NYIA Toll Road Project, Section 2 Package 2.1A. The analysis method used field observation through time study techniques to measure the cycle duration of truck mixers and the operating time of the truck concrete pump. The analysis stages included calculating cycle time, productivity, production capacity, and working duration of each equipment. The results show that the truck concrete pump achieved a productivity of 0.425 m³/minute, while the truck mixer reached 0.989 m³/minute. These values were influenced by cycle time, equipment condition, work area condition, execution method, and work volume. Based on duration analysis, the truck concrete pump required about 4.7 hours to complete the casting of 120 m³ of ready-mix concrete, while the truck mixer required 2.022 hours to support the concrete supply process.

Musi Rawas Utara Regency is categorized as an underdeveloped, frontier, and outermost (3T) region that still faces serious challenges in human development, particularly within the education dimension. Although the Human Development Index (HDI) indicates an upward trend, the School Enrollment Rate (SER) and the mean years of schooling at the secondary education level remain relatively low and lag behind other regions. This condition is influenced by limited access to secondary education, household economic vulnerability, and disparities in the quality and distribution of educators in remote areas. This policy paper aims to analyze secondary education issues as a primary obstacle to increasing the HDI of Musi Rawas Utara Regency and to formulate effective and sustainable policy alternatives. The method used is a qualitative descriptive analysis through a literature study, utilizing data from the Central Bureau of Statistics (BPS), regional planning documents, as well as relevant national regulations and policies. The analysis was conducted using a SWOT approach to identify the strengths, weaknesses, opportunities, and threats of the regional education policy. The results of the study show that improving the HDI requires integrated, affirmative, and region-based education policies. Three main policy alternatives recommended include expanding and equalizing access to secondary education, strengthening educational assistance and social protection for vulnerable families, and sustainably distributing and improving teacher quality. The implementation of these policies is expected to increase the SER, extend the mean years of schooling, and strengthen the quality of human resources as a foundation for sustainable development in Musi Rawas Utara Regency.

This study examines the partial and simultaneous effects of promotional strategies, risk perception, and resale price perception on public interest in gold investment at PT Pegadaian Dompu Branch. The research employed a quantitative explanatory approach involving 96 respondents selected from a population of 50,000 customers using purposive sampling. Data were collected through a structured questionnaire based on a five-point Likert scale and analyzed using multiple linear regression with SPSS version 26. The findings reveal that promotional strategies have a positive and significant influence on public interest in gold investment, indicating that effective promotional activities encourage customers to invest. Risk perception also shows a positive and significant effect, suggesting that customers with better understanding and management of investment risks are more inclined to invest in gold. In addition, resale price perception positively and significantly affects investment interest, reflecting the importance of customers' confidence in obtaining favorable resale values. Simultaneous testing using the F-test confirms that the three independent variables jointly have a significant effect on public interest in gold investment. The coefficient of determination shows an Adjusted R Square value of 33.9%, meaning that promotional strategies, risk perception, and resale price perception explain 33.9% of the variation in investment interest, while the remaining 66.1% is influenced by other factors not included in this research model.

Heat stress is a major constraint in broiler production systems located in humid tropical climates, where high ambient temperature and relative humidity impair growth performance, feed efficiency, and animal welfare. This systematic review synthesizes peer-reviewed studies published between January 2015 and December 2025 evaluating environmental housing designs and cooling strategies for mitigating heat stress in broiler chickens. This systematic review followed the PRISMA 2020 guidelines and synthesized peer-reviewed studies retrieved from Scopus, Web of Science, and ScienceDirect, published between January 2015 and December 2025. From 500 records initially identified, 26 studies fulfilled the predefined eligibility criteria and were included in the qualitative synthesis. The findings demonstrate that evaporative cooling systems, tunnel ventilation, and automated climate control technologies consistently reduced indoor temperature (2–6°C) and improved body weight gain, feed conversion ratio (FCR), and mortality rates under hot-humid conditions. However, cooling efficiency was strongly influenced by ambient humidity, necessitating integrated and adaptive environmental control approaches. Smart sensor-based systems further enhanced microclimate stability and thermal uniformity within broiler houses. Beyond performance improvements, optimized environmental management reduced physiological stress indicators, including heterophil-to-lymphocyte ratios and corticosterone levels. Overall, integrated, humidity-adaptive, and energy-efficient cooling strategies are essential to sustain productivity, welfare, and climate resilience in tropical broiler production systems.

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.

Image Quality Assessment has become an important research area in computer vision due to the increasing use of digital imaging in medical, industrial, and remote sensing applications. This study conducted a Systematic Literature Review (SLR) using articles retrieved exclusively from the Scopus database. A total of fifteen Scopus-indexed articles were selected through the PRISMA process consisting of identification, screening, eligibility, and inclusion stages. The findings indicated that convolutional neural networks, transformer architectures, and no-reference approaches dominated recent studies because of their ability to capture complex visual features and improve evaluation accuracy. The application domain strongly influenced method selection, particularly in medical imaging, industrial quality control, and remote sensing. Deep learning methods achieved high performance but required large datasets and high computational resources. Overall, recent research trends shifted from traditional image enhancement toward artificial intelligence-based quality evaluation.

This study aims to analyze the contribution of state and regional taxes to state revenue and regional fiscal independence in Indonesia. Taxes are the primary source of revenue used to finance governance and national and regional development. The study employed a qualitative descriptive method with a literature review approach and secondary data analysis derived from the State Budget (APBN) report, the Central Statistics Agency (BPS), and various scientific articles indexed by Sinta. The data were analyzed to identify the contribution of taxes to state revenue and the role of regional taxes in increasing Regional Original Income (PAD). The results show that tax revenue remains the largest source of state revenue, with dominant contributions coming from Income Tax (PPh) and Value Added Tax (PPN). Furthermore, regional taxes play a crucial role in enhancing regional fiscal capacity and supporting the implementation of regional autonomy. The effectiveness of tax management is influenced by the level of taxpayer compliance, the digitalization of tax administration, and the quality of government oversight. This study implies that optimizing the tax system through digital transformation and increasing public awareness can sustainably strengthen state and regional revenue.

The increasing emphasis on sustainable business practices has encouraged companies to integrate environmental and social responsibilities into their strategic and financial decision-making processes. This study investigates the influence of Green Accounting on Firm Value and examines the moderating role of Corporate Social Responsibility (CSR) within the Triple Bottom Line framework. A quantitative research design was employed using panel data from 23 energy, mining, and infrastructure companies listed on the Indonesia Stock Exchange during the 2022–2024 period, resulting in 69 firm-year observations. Secondary data were collected from annual reports and sustainability reports and analyzed using descriptive statistics, classical assumption tests, and Moderated Regression Analysis (MRA). The findings indicate that Green Accounting does not have a significant direct effect on Firm Value, while CSR also shows no significant direct influence. Furthermore, CSR is unable to significantly moderate the relationship between Green Accounting and Firm Value. These results suggest that sustainability initiatives implemented by Indonesian companies have not yet generated measurable short-term financial benefits, although they may contribute to long-term corporate legitimacy, stakeholder trust, and sustainable competitiveness. The study provides practical implications for corporate managers, investors, and policymakers by emphasizing the importance of strengthening sustainability reporting quality and integrating environmental and social strategies into long-term corporate value creation.

This study aims to analyze the trends in the prevalence of ischemic heart disease (IHD) in Indonesia from 2019 to 2023 based on data from the Global Burden of Disease (GBD) study, with a focus on gender differences between males and females. The data used in this study includes detailed prevalence data for IHD based on province and gender. The analysis reveals that the prevalence of IHD is higher in males than in females, with greater fluctuations observed in females, particularly after menopause. Although there are significant differences in the prevalence across several provinces, risk factors such as smoking, obesity, hypertension, and diabetes contribute significantly to the increasing prevalence of this disease. However, the differences in prevalence between provinces and genders are not always statistically significant, indicating that other factors such as access to healthcare, lifestyle, and socio-economic factors also influence the distribution of this disease. This study provides valuable insights for the development of gender-based heart disease prevention policies and introduces more targeted interventions.

This study investigates the relationship between green practices and corporate tax avoidance, focusing on green accounting, environmental performance, and corporate social responsibility (CSR) among 19 Indonesian publicly listed companies from 2021 to 2024. The research aims to examine whether environmentally responsible strategies influence firms’ tax behavior and how sustainability practices mediate this relationship. A quantitative approach was employed, collecting data from corporate financial statements, ESG reports, and sustainability disclosures. The analysis included descriptive statistics, correlation tests, and pooled ordinary least squares regression to explore the effects of green accounting, environmental performance, and CSR on the effective tax rate (ETR) as a proxy for tax avoidance. Results indicate that green accounting is positively associated with higher ETR, suggesting reduced tax avoidance, while CSR negatively impacts ETR, implying that sustainability initiatives can be strategically used to mask aggressive tax planning. Environmental performance alone does not significantly affect tax behavior. These findings highlight the importance of transparency through green accounting to promote ethical tax practices, while cautioning that CSR may serve as a reputational tool rather than a mechanism for reducing tax avoidance. The study contributes to theoretical understanding in sustainability and corporate governance and offers practical insights for policymakers and corporate managers to align environmental and fiscal responsibilities.

Early Marriage in Pagar Alam City is currently still quite high, the Pagar Alam Religious Court only relies on a recap of the number of cases per year to draw conclusions about the early marriage data. This method has limitations in classifying early marriage factors, so the Religious Court has difficulty in monitoring and controlling the occurrence of Early Marriage in Pagar Alam City. The purpose of this research thesis is to produce a classification system for Early Marriage factors using the K-Nearest Neighbor Algorithm to find out what factors influence the occurrence of Early Marriage, the method used in this study is the Cross Industry Standard Process for Data Mining (CRISP-DM) which has 6 stages, namely: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The testing stage in this study uses Confusion Matrix and BlackBox Testing. The final results of this study indicate that the system can classify Early Marriage factors. The classification model built achieved an Accuracy of 94.12% and a Precise value of 85.71% and a Recall value of 100.00%, while testing using Black Box testing in the form of alpha obtained a feasibility value of 83.2%, so this system is very suitable for use.