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This study aims to analyze the effect of Gross Regional Domestic Product (GRDP), Local Taxes, and Population on Local Own-Source Revenue (PAD) in 35 regencies/cities of Central Java Province during 2021–2023. The study employs a quantitative approach using secondary data obtained from the Central Java Statistics Agency (BPS) and Local Government Budget Realization Reports (LRA). The sample was selected using a census sampling technique and analyzed using multiple linear regression after classical assumption testing. The results indicate that GRDP and Local Taxes have a significant effect on PAD, while Population does not have a significant effect on PAD. These findings imply that local governments should prioritize regional economic growth and optimize local tax collection to strengthen fiscal capacity rather than relying solely on population growth. The novelty of this study lies in its integrated examination of GRDP, Local Taxes, and Population across all 35 regencies/cities in Central Java during the 2021–2023 period, providing updated empirical evidence to support regional fiscal policy and local revenue optimization.

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.

This study aims to analyze the effect of capital structure, asset growth, and firm size on firm value in plastic and packaging sub-sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period. Firm value is proxied by Price to Book Value (PBV), capital structure is measured using the Debt to Equity Ratio (DER), asset growth is measured by the asset growth ratio, and firm size is measured using the natural logarithm of total assets. This research employed an explanatory quantitative approach using secondary data obtained from financial statements, annual reports, and stock price data. The sample consisted of 11 companies observed over five years, resulting in 55 panel data observations. Data were analyzed using panel data regression through the Common Effect Model, Fixed Effect Model, and Random Effect Model, with model selection based on the Chow, Hausman, and Lagrange Multiplier tests. The results indicate that capital structure, asset growth, and firm size have no significant effect on firm value, either partially or simultaneously. These findings suggest that firm value in the plastic and packaging sub-sector is not sufficiently explained by financing structure, asset expansion, or company size. Investors are more likely to consider other factors, such as profitability, operational efficiency, cash flow, sales growth, raw material risk, and sustainability prospects. Therefore, companies should improve financial performance, asset efficiency, cost control, and sustainable innovation to enhance firm value.

This study aims to describe the morphological forms of slang, explain the processes of its formation, and analyze its frequency and distribution in the TikTok content of the account @shadirafirdausi. The study is motivated by the rapid development of slang on social media, particularly TikTok, as a platform where young people express identity, creativity, and social interaction. A qualitative descriptive method was employed using documentation techniques on three TikTok videos, including captions and comments with the highest numbers of views and likes during June–August 2025. Data were analyzed using the interactive model of Miles and Huberman, consisting of data reduction, data display, and conclusion drawing. The findings identified 36 slang words and phrases classified into four morphological processes: phonological modification (30.6%), shortening (30.6%), affixation (25.0%), and compounding with foreign element adoption (13.9%). Phonological modification and shortening were the dominant processes, while affixation and English borrowings further enriched the language forms. These findings demonstrate that slang in @shadirafirdausi’s TikTok content is formed through creative, productive, and adaptive morphological processes that reflect the preference of young speakers for concise, expressive, and easily understood language in digital communication.

Penelitian kualitatif deskriptif ini bertujuan untuk menganalisis penentuan harga pokok produksi (HPP) dan harga jual kompetitif kue tar menggunakan metode Full Costing pada Toko Kue Hum’aisyah Cake di Kabupaten Dompu, Nusa Tenggara Barat. Data primer diperoleh melalui observasi dan wawancara langsung, sedangkan data sekunder bersumber dari laporan keuangan usaha. Hasil penelitian menunjukkan bahwa metode Full Costing menghasilkan perhitungan HPP yang lebih akurat dibandingkan metode sederhana yang diterapkan perusahaan selama ini. Total biaya produksi dengan metode sederhana tercatat sebesar Rp55.100.250 (Rp185.000/unit), sedangkan metode Full Costing menghasilkan Rp57.395.250 (Rp195.000/unit). Terdapat selisih sebesar Rp2.295.000 secara total atau Rp10.000 per unit. Selisih ini terjadi karena metode sederhana milik perusahaan belum memperhitungkan seluruh unsur biaya produksi, khususnya biaya overhead pabrik secara rinci.

Tuntang District, Semarang Regency, has vast and diverse cultural and artistic potential, encompassing both contemporary and traditional forms. However, its artistic development has not been optimally explored. This study aims to analyze artistic preferences, sources of introduction, motivation, and formulate a pentahelix-based arts development strategy for junior high school students in Tuntang. Using a qualitative descriptive approach, data from 98 respondents was collected using stratified random sampling. The results showed that acting was the primary preference (41%), followed by dance (33%), driven by the motivation to improve their economic well-being through the entertainment world. Schools were found to be a key player in arts introduction, with 81% of respondents being exposed to arts through school assignments and facilities. Motivations varied, ranging from economic incentives (opportunities for independent income), to leisure time (positive recreation), to intrinsic motivation and the preservation of family traditions. However, this research identified a critical juncture in the risk of cultural exclusivity that could marginalize certain groups. As a solution, a short-term development strategy was formulated through strengthening extracurricular activities, and a medium-term strategy through the establishment of a pentahelix forum. Synergy between students, schools, families, communities, government, and the business world is essential for transforming traditional arts into cultural tourism attractions that can improve community welfare while maintaining the sustainability of intangible cultural values.

Semarang Regency, one of the regions in Central Java, Indonesia, possesses considerable potential for the development of smallholder beef cattle farming. One strategy to support the growth of this sector is through partnership arrangements, particularly the gaduhan (cattle-sharing) system, which is widely practiced among smallholder farmers. This study aimed to analyze the gaduhan partnership model in smallholder beef cattle farming and its impact on farmers’ income in Semarang Regency. The research was conducted in August 2025 in Banyubiru and Pabelan Districts using a purposive sampling method involving 30 beef cattle farmers. Data were analyzed using multiple linear regression, with farm scale, farming experience, gaduhan partnership system, production costs, and livestock productivity as independent variables, and farmers’ income as the dependent variable. The results revealed that all independent variables jointly had a significant effect on farmers’ income, as indicated by an F-value of 132.412 and a significance level of 0.000. Partially, farm scale, the gaduhan partnership system, production costs, and livestock productivity significantly affected farmers’ income, whereas farming experience had no significant effect. The coefficient of determination (R²) was 0.883, indicating that 88.3% of the variation in farmers’ income could be explained by the model. The gaduhan partnership model in smallholder beef cattle farming in Semarang Regency is characterized by the influence of farm scale, farming experience, partnership arrangements, production costs, and livestock productivity on farmers’ income. The average income generated under the gaduhan partnership system was IDR 11,400,000, with a profit-sharing ratio of 60:40 between the livestock owner and the farmer.

This study examines the recurring traffic accidents at the Bawen intersection in Semarang Regency, particularly involving heavy vehicles descending from the toll exit. The research aims to analyze the underlying causes and formulate an effective accident prevention model. Using a qualitative empirical juridical approach, data were collected through field observations, interviews, and document analysis. The findings reveal that accidents are caused by a systemic interaction of factors, including inadequate road geometry, vehicle technical failures (especially brake malfunction), driver fatigue and limited competence, suboptimal traffic management, and weak preventive law enforcement. These interrelated factors create a high-risk traffic environment, particularly at signalized intersections at the end of steep descents. The study proposes an integrated prevention model combining infrastructure improvement, vehicle supervision, driver capacity enhancement, technology-based traffic management, and preventive law enforcement. This model emphasizes a holistic and sustainable approach to traffic safety. The implications highlight the need for coordinated policies among stakeholders to reduce accident rates and improve overall road safety in the region.

The School Participation Rate in Semarang Regency is high, yet the quality of human resources remains relatively poor. This study aims to identify the profile of students’ potential and constraints within the framework of Self-Regulated Learning, as well as to analyse the gap between the level of importance and the level of implementation in Semarang Regency. Data were collected via a Self-Regulated Learning questionnaire and analysed using the Importance–Performance Analysis (IPA) method. The results indicate an average importance score of 3.04 and an implementation score of 3.03, suggesting a gap, albeit a relatively small one. The distribution of indicators showed that 14 were in the high-priority category, 10 in the maintain category, 9 in the low-priority category, and 16 in the over-emphasised quadrant. These findings suggest that students are aware of the importance of learning strategies but have not yet been able to implement them optimally. Learning strategies are still dominated by basic, repetitive activities, whilst metacognitive skills and self-regulation have not yet developed optimally.

Advancements in information technology encourage MSMEs to utilize information systems to enhance the effectiveness of their business management. Es Teh Arjuna, an MSME in Tegal City, faces challenges in monitoring partner sales and managing revenue because transactions are recorded manually using disparate methods; this results in slow data recapitulation, a risk of recording errors, and difficulty for the business owner in quickly accessing sales information. This study aims to analyze requirements, design, develop, and test a web-based information system for partner sales and revenue that provides information in  real-time. The Waterfall model was used for system development, while data collection involved observation, interviews, and a literature review. The system was developed using PHP and MySQL and tested via Black Box Testing. The results demonstrate that the system successfully integrates sales data from all outlets into a centralized database, streamlining the management of products, outlets, employees, cashiers, and sales transactions, as well as facilitating the generation of revenue reports for specific periods. Furthermore, the system enables the business owner to monitor sales performance more quickly, accurately, and systematically, thereby supporting decision-making and improving the operational efficiency of Es Teh Arjuna.

The internship registration process at the Communication and Information Office of Tegal Regency is still carried out manually, resulting in several problems, such as lengthy registration procedures, difficulties in managing and retrieving data, and the risk of document loss. This study aims to design and develop a web-based internship registration information system that supports the registration, verification, selection, and information delivery processes in an integrated manner. The system was developed using the Waterfall method, which consists of requirements analysis, system design, implementation, and testing stages. The application was developed using the Laravel framework and MySQL database. System testing was conducted using the Black Box Testing method to ensure that all system functions operate according to user requirements.The results indicate that the developed system can simplify the internship registration process, improve data management efficiency, accelerate the selection process, and provide real-time registration status information to applicants. Based on the testing results, all system features function properly and meet the predetermined functional requirements.

Asset inventory management is vital for enhancing the operational efficiency of an organization. At the Communication and Informatics Office of Tegal Regency, the process for managing asset inventory is still performed manually, leading to various issues including challenges in asset documentation, data retrieval, management of borrowing, reporting damage, and overseeing the condition of assets. This research intends to create a web-based asset inventory management solution that leverages Quick Response (QR) Code technology to boost the effectiveness, efficiency, and precision of inventory management. The methodology employed for the system's development was Agile Development, which includes stages such as planning, analyzing requirements, designing the system, developing, testing, and conducting iterative evaluations. Data gathering was conducted through observation, interviews, and reviewing existing literature. The completed system offers several key features, such as inventory management, the ability to generate and scan QR Codes, processes for borrowing and returning assets, damage reporting, a monitoring dashboard, and management of user access based on roles.  The findings reveal that the implemented system enhances asset identification through QR Codes, delivers real-time inventory data, and enables more efficient monitoring of assets. According to Black Box Testing results, all functionalities of the system performed in alignment with the identified functional requirements. Consequently, the web-based asset inventory management system utilizing QR Code technology can act as a useful solution to enhance the asset inventory management quality at the Communication and Informatics Office of Tegal Regency.

Employee performance is a critical element in organizational success, particularly in labor-intensive industries such as garment manufacturing. This study aims to analyze the effect of work stress (X1) and work environment (X2) on employee performance (Y) in garment industry companies in Semarang Regency. A quantitative descriptive approach with multiple linear regression analysis was employed. The population and sample comprised 96 employees using total sampling. Data were collected through a Likert-scale questionnaire (1–5) with 10 items per variable. All classical assumption tests (normality, multicollinearity, heteroscedasticity) were satisfied. Reliability tests yielded Cronbach's Alpha of 0.866 (work stress), 0.941 (work environment), and 0.937 (employee performance), confirming instrument reliability. Results indicate: (1) work stress has no significant partial effect on employee performance (t = 1.581; sig. = 0.117); (2) work environment has a significant positive partial effect on employee performance (t = 9.618; sig. = 0.000); (3) simultaneously, both variables significantly affect employee performance (F = 56.630; sig. = 0.000) with a coefficient of determination (R²) of 54.9%. These findings confirm that optimizing the work environment both physical and non-physical is the primary strategic priority for enhancing employee performance in the garment industry.

This study aimed to determine the effect of different levels of beef liver addition on the nutritional, physicochemical, and color characteristics of chicken patties. Beef liver, an underutilized animal by-product with high nutritional value, was incorporated at different levels (0%, 20%, 40%, and 60%) into chicken patty formulations. The experiment was conducted using a Completely Randomized Design with four treatments and five replications. The collected data were analyzed using analysis of variance (ANOVA) and followed by Duncan’s Multiple Range Test (DMRT). The results showed that the addition of beef liver had no significant effect (P>0.05) on protein content, water activity (aw), and b* values, but had a highly significant effect (P<0.01) on moisture content, fat content, cooking loss, texture, and color characteristics (L* and a*). Increasing beef liver levels improved the nutritional profile and modified the physical and visual characteristics of the patties. These findings demonstrate the potential of beef liver as a value-added functional ingredient for developing nutritious chicken patties while promoting the sustainable utilization of underutilized livestock by-products.

Poultry agribusiness is a key driver of food security and rural economic development in developing countries. However, the sector remains vulnerable to infectious diseases such as avian influenza and Newcastle disease, which can disrupt production systems and supply chain continuity. Although previous studies have examined poultry disease control, biosecurity, and supply chain disruption, evidence on how risk and crisis communication supports outbreak management and resilience in developing-country poultry agribusiness remains fragmented. This study applied a systematic literature review (SLR) approach under PRISMA guidelines to synthesize risk and crisis communication strategies in poultry disease management and their contribution to supply chain resilience. Only seven relevant studies published between 2020 and 2025 met the inclusion criteria and were analyzed using the PICO framework. Quality assessment using the Mixed Methods Appraisal Tool (MMAT), combined with systematic data extraction in Microsoft Excel 2021, was conducted to improve methodological transparency and consistency. The novelty of this review lies in integrating communication strategies, enabling and constraining factors, digital tools, One Health perspectives, and public–private collaboration within a single analytical synthesis. The findings indicate that participatory, transparent, and coordinated communication can support disease prevention and crisis preparedness, particularly when strengthened by stakeholder trust, policy support, training, and accessible information channels. However, limited digital literacy, inadequate infrastructure, and cultural barriers may reduce communication effectiveness. Overall, this review highlights the need for inclusive communication systems and collaborative governance to strengthen poultry supply chain resilience in developing countries, while recognizing that the small evidence base limits broad generalization.

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.

This study aims to determine and analyze the impact of the work environment on employee job satisfaction at the Human Resources Development Agency (BPSDM) of Jambi Province. The research is motivated by the importance of a supportive work environment in creating comfort, increasing motivation, and improving employee job satisfaction, since preliminary observations found several work-environment problems such as inadequate room cooling, disrupted toilet water supply, and unstable Wi-Fi network. This study used a quantitative approach with an associative research design. The population consisted of 75 employees, all of whom were used as the sample through a saturated sampling technique. Data were collected using a four-point Likert-scale questionnaire and analyzed with validity tests, reliability tests, classical assumption tests, and simple linear regression using SPSS. The results show that the work environment has a significant impact on employee job satisfaction, evidenced by a significance value smaller than 0.05, with a coefficient of determination of 61.8 percent. This indicates that the better the work environment, both physical and non-physical, the higher the employee job satisfaction. This research is expected to serve as a consideration for the agency in improving the quality of the work environment to support employee job satisfaction and performance.

This study examines the effects of Net Profit Margin, audit opinion, and firm size on audit delay among construction companies listed on the Indonesia Stock Exchange from 2019 to 2025. Audit delay is measured as the period between the fiscal year-end and the issuance date of the independent auditor’s report. Timely financial reporting is particularly important in the construction sector due to its complex long-term projects, progress-based revenue recognition, cost estimation, and high financial risks. Using a quantitative approach, the study analyzes secondary data from annual financial statements and independent auditor reports. The sample includes 14 construction companies observed over seven years, producing 98 observations. Panel data regression was conducted using EViews, with the Chow, Hausman, and Lagrange Multiplier tests identifying the Random Effect Model as the most appropriate estimation method. The findings show that Net Profit Margin does not significantly affect audit delay. In contrast, audit opinion and firm size have negative and significant effects, indicating that favorable audit opinions and larger company size are associated with shorter audit completion periods. Collectively, the three variables significantly influence audit delay, although they explain only 15.75% of its variation.

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.

Stroke remains one of the leading causes of mortality and disability worldwide, including in Indonesia. The increasing prevalence of stroke and Years Lived with Disability (YLD) reflects its growing health burden. This study aimed to analyze trends in stroke prevalence and YLD in Indonesia during 2021–2023 using data from the Global Burden of Disease (GBD). A quantitative descriptive design with an ecological and time-trend approach was employed. Secondary data were obtained from the GBD Results Tool and analyzed using R version 4.4.1. The analysis focused on major geographical regions across Indonesia. The results showed a gradual increase in both stroke prevalence and YLD during the study period. Java recorded the highest prevalence and YLD, while Maluku and Papua showed lower prevalence but greater variation in YLD. These trends were associated with urbanization, unhealthy lifestyles, hypertension, diabetes, and unequal access to healthcare and rehabilitation services. Pearson correlation analysis demonstrated a very strong association between stroke prevalence and YLD (r > 0.99) across all years. The findings highlight increasing stroke burden and regional disparities, emphasizing the need for equitable healthcare access, risk factor control, and strengthened post-stroke rehabilitation programs.