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The normal flora of chickens refers to the microbial communities that naturally inhabit the gastrointestinal tract and body surfaces of chickens, playing a crucial role in health, digestion, and immunity. This community consists of beneficial bacteria such as Lactobacillus, Bifidobacterium, and Bacillus, which assist in feed fermentation, vitamin synthesis, and inhibition of pathogenic growth. Additionally, the normal flora may include potential pathogenic bacteria such as Escherichia coli, Salmonella spp., and Campylobacter, which can cause diseases if microbial balance is disrupted. The diversity and balance of the microbiota are influenced by various abiotic factors, including feed quality, access to clean water, ambient temperature, humidity, and environmental hygiene. Biotic factors, such as microbial interactions, rearing systems, and contact with other animals, also play a significant role in determining microbial composition. Several studies have shown that the use of feed additives, such as probiotics and phytogenics, can enhance populations of beneficial bacteria while suppressing pathogenic bacteria. Extensive rearing systems, which provide chickens with more space and exposure to natural environments, tend to increase microbiota diversity compared to semi-intensive systems with more restricted conditions. Understanding these factors is essential for developing effective health management strategies and optimizing safe and sustainable poultry production.

This study analyzes the contribution of the nighttime economy to the development of micro, small, and medium enterprises (MSMEs) in Pekanbaru City, particularly the culinary sector, which dominates nighttime economic activity. This research is motivated by the increasing public consumption at night, which shapes urban economic dynamics and requires effective public governance. The research method uses a qualitative approach through literature review and in-depth interviews with nighttime MSMEs to describe business conditions and governance challenges. The analysis is based on Adam Smith's Theory of Economic Growth, emphasizing capital accumulation, population growth, and technological advancement. The results show that nighttime economic activity generates high levels of consumption, which increases MSME income and enables capital accumulation for business development and product quality improvement. Urban population growth and the use of digital technology, including social media, delivery services, and digital payment systems, contribute to expanding market reach and improving business efficiency. However, MSME development in the nighttime economy remains constrained by limited access to capital, inadequate public infrastructure, and regulatory uncertainty. This study emphasizes the need for integrated local government policies.

Background: Stunting remains a major public health concern in Indonesia, affecting children’s growth, development, and long-term health outcomes (Sari, 2020). Early childhood stunting can lead to cognitive delays, poor school performance, reduced productivity in adulthood, and increased risk of chronic diseases (Hapsari & Wulandari, 2019). Understanding the interaction of demographic, socioeconomic, and health-related factors is essential to reduce stunting prevalence and improve child health outcomes (Yuliani, 2019). Objective: This study aimed to analyze the factors influencing the incidence of stunting among children attending the Sagerat Public Health Center in Bitung City. Methods: A quantitative, observational study with a cross-sectional design was conducted. Thirty children were selected using purposive sampling based on inclusion criteria such as age under five years and available anthropometric data. The Wilcoxon signed-rank test was applied to examine the relationship between these factors and stunting incidence, with a significance level set at p < 0.05. Results: The analysis showed that 30 children (100%) in the study were at risk of stunting based on height-for-age measurements, with 20 children (90%) confirmed as stunted and 10 children (10%) having normal height. These results suggest that maternal education, socioeconomic status, nutrition, and access to healthcare are strongly associated with stunting in this population. Conclusion: Factors such as maternal education, socioeconomic status, dietary intake, and access to healthcare significantly influence the incidence of stunting among children at the Sagerat Public Health Center. Comprehensive community-based programs are recommended to reduce stunting prevalence and improve long-term health outcomes for children.

This study aims to evaluate the effect of Return on Assets (ROA), Debt to Equity Ratio (DER), and Current Ratio on Firm Value, with Sales Growth as a moderator variable, in textile and garment companies listed on the Indonesia Stock Exchange (IDX) for the period 2020-2024. The population of this study consisted of 21 companies, and purposive sampling was used to select 19 companies according to the established criteria. The analytical method used was panel data regression analysis with the help of Eviews version 12.0. The results of this study indicate that Return on Assets (ROA) has a negative and significant effect on firm value, Debt to Equity Ratio (DER) and Firm Size have a positive and significant effect on firm value, Current Ratio (CR) does not have a significant effect on firm value, and Sales Growth cannot moderate the effect of Return on Assets on firm value. The condition of ROA that has a negative effect on firm value can describe a situation where the greater the company's profit in the form of assets, the lower the company's value will be, or conversely, the higher the company's value, the lower the company's assets will be.

In the face of global economic uncertainty and property market fluctuations, companies in the property and real estate sector are required to maintain profitability. This sector contributes significantly to the national GDP, but it has also faced pressure due to declining demand and instability in the growth of the real estate sector's GDP from 2021 to 2024. Profitability is a key indicator of a company's sustainability, influenced by various internal factors such as liquidity, firm size, and gender diversity in leadership. The target population of this inquiry encompasses property and real estate enterprises enumerated on the Indonesia Stock Exchange throughout the 2021–2024 interval. Through the application of purposive sampling, a total of 52 data observations were delineated as the empirical sample. The dataset was subjected to scrutiny employing multiple linear regression procedures facilitated by SPSS software version 26. The empirical outcomes substantiate that liquidity, firm size, and gender diversity simultaneously influence profitability. Partially, liquidity has a positive and significant effect on profitability, while gender diversity has a negative and significant effect. In contrast, firm size does not have a significant influence on the profitability of property and real estate companies listed on the Indonesia Stock Exchange during the 2021–2024 period.

With the rapid growth of Jambi City's tourism sector, the demand for souvenir products as a representation of local culture has increased. However, this potential has resulted in fierce competition among businesses. To generate new customers, businesses require effective digital and physical marketing strategies. The purpose of this study was to examine how social media marketing, product quality, and location at Gerai Adila simultaneously and partially influence consumer purchasing decisions. A survey method was used to implement a quantitative approach; data from 387 respondents, collected through Google Forms, were selected using the Slovin formula from a population of 11,723 customers in 2024. In data analysis, instruments, classical assumptions, multiple linear regression, and hypothesis testing were conducted using SPSS 25. The results showed that social media marketing, product quality, and Gerai Adila's location partially had a positive and significant impact on consumer decisions to purchase products at Gerai Adila; social media marketing played a role in increasing consumer brand awareness and purchasing interest, while product quality influenced consumer satisfaction and trust. In addition, it was proven that all three variables had a positive and significant impact on purchasing decisions. The results show that to increase the competitiveness of souvenir shops in Jambi City, digital marketing strategies, consistent product quality, and the right location are important factors.

Tebing Tinggi City, which has a strategic position in North Sumatra, is experiencing changes in population growth that need to be predicted for development planning purposes. The purpose of this study is to forecast the population of Tebing Tinggi City in 2030 by applying the Double Integral method, and visualize the results in 3D using GeoGebra. The method used is a quantitative approach with a case study, where the population density function is created based on secondary data from the Central Statistics Agency (BPS) of Tebing Tinggi City for the period 2010 to 2024. Data on area and population per sub-district are used to develop a population growth model calculated using the double integral. The forecast results show that the population of Tebing Tinggi City is estimated to reach 26,038 people in 2030, with varying growth rates in each sub-district. 3D visualization through GeoGebra is able to depict the distribution of population density in an interactive geometric form, thus facilitating the understanding of complex mathematical concepts. The conclusion of this study is that double integrals can be applied effectively to predict population size, and GeoGebra serves as a very useful visual aid in presenting the results of multivariable calculus analysis.

Population density plays a critical role in shaping public health outcomes and environmental quality, particularly in rapidly urbanizing regions. This study aims to analyze the relationship between high population density and its impacts on sanitation conditions, air quality, access to clean water, and the incidence of various diseases in densely populated areas. The research adopts a qualitative descriptive approach by combining a comprehensive literature review with field observations conducted in several urban areas characterized by high population concentration. The findings reveal that increased population density is closely associated with environmental degradation, including inadequate sanitation systems, reduced air quality due to pollution, and limited availability of clean water. These environmental challenges contribute directly to a higher prevalence of health problems, such as respiratory infections, waterborne diseases, and other communicable illnesses. Overcrowded living conditions also intensify the spread of diseases, placing additional pressure on public health infrastructure. Furthermore, the study highlights that insufficient public facilities and poor environmental management exacerbate the negative effects of population density on both health and the environment. To address these challenges, effective strategies are required, including population growth control, improved urban planning, and enhanced investment in public health and environmental sanitation facilities. Strengthening community awareness and participation in maintaining environmental cleanliness is also essential. Overall, this study emphasizes the need for integrated policies that balance population management with sustainable environmental and public health development.  

This study aims to design and build a population distribution application in Demak Regency in 2025 using a Geographic Information System (GIS) approach. The study focuses on three main variables: population, population density, and population growth rate per sub-district. The author used the research method of collecting data and references that can later strengthen the results of this study and the application design using the waterfall model. Non-spatial data, namely data in the form of population information, was obtained from the Central Statistics Agency of Demak Regency, while spatial data is data related to regional administrative boundaries. Data processing was carried out using QGIS 2.18 through the stages of joining attributes, classification using the Natural Breaks (Jenks) method, and thematic map creation. The results show that population distribution is uneven. Demak Kota, Karangtengah, and Sayung sub-districts have the highest number and density, while coastal sub-districts such as Wedung and Bonang have low densities. The highest population growth rate is in Karangtengah sub-district at 0.8%. The application of GIS has proven effective in visualizing population distribution and supporting spatial-based regional development planning.  

In 2024, Indonesia’s food and beverage industry recorded IDR 110.57 trillion in investment and achieved GDP growth above the national average, highlighting its rapid development and importance for the economy. However, this growth does not automatically increase firm value, as internal factors such as solvency, firm growth, and dividend policy may play a crucial role. This study investigates how those factors affect firm value in food and beverage companies listed on IDX during 2021–2024. The research population comprises 84 companies, with purposive sampling resulting in 47 observations from 13 firms over four years. Data were collected from annual reports and analyzed applying multiple linear regression with SPSS 26. The results show that solvency and dividend policy don’t significantly affect firm value, while firm growth has a significant positive impact. Simultaneously, all three variables positively influence firm value with an adjusted R² of 11.8%. The paper enriches the academic discussion by validating the applicability of signaling theory in showing that firm growth acts as a stronger signal compared to solvency or dividend policy in the food and beverage industry, offering useful implications for investors and managers.

This community-based program aims to strengthen the economic resilience of marginalized groups in Pakistan through a social entrepreneurship model that promotes inclusion, innovation, and long-term sustainable growth. The initiative responds to persistent socio-economic inequalities that limit opportunities for low-income populations, particularly women, youth, and rural communities. By integrating entrepreneurial training, financial literacy education, and community-based business incubation, the program equips participants with the skills needed to initiate and sustain micro-enterprises. The model emphasizes the use of local resources, socially responsible business practices, and community-led decision-making to ensure contextual relevance. Data collected through baseline assessments, participatory workshops, and post-program evaluations show significant improvement in participants’ entrepreneurial competencies, confidence, and engagement in local economic activities. Government officials, NGOs, and private-sector partners reported increased trust and willingness to collaborate with trained communities. Feedback from participants highlights enhanced motivation, improved financial knowledge, and stronger social networks. Overall, the program demonstrates that social entrepreneurship can be a powerful mechanism for inclusive economic development when combined with capacity building, community mobilization, and strategic partnerships. Findings offer insights for policymakers and academic researchers seeking scalable models to address marginalization and promote sustainable growth in Pakistan’s diverse socio-economic landscape.

Tax avoidance can be detrimental to the country because it reduces the state's revenue. This study aims to analyze the effect of sales growth, capital intensity, and earnings management on tax avoidance with company size as a moderating variable. The population of this study comprises 221 manufacturing companies listed on the IDX in 2020-2024, with a sample of 64 companies selected via purposive sampling based on specific criteria, yielding a total of 320 observations analyzed using panel data regression (E-Views 12). The results show that sales growth directly affects tax avoidance, and company size moderates the relationship between sales growth and tax avoidance. However, capital intensity and earnings management do not have a significant effect, and company size cannot moderate the relationship between capital intensity and earnings management with tax avoidance. These findings emphasize that high sales growth can encourage companies to comply with tax regulations, thereby reducing tax avoidance, and that this effect can be suppressed by large company size due to greater reputational pressure and scrutiny. This study expands on previous research by making company size a moderating variable in the relationship between sales growth, capital intensity, and earnings management and tax avoidance.

This study examines how company size, asset growth, tangibility, leverage, and total asset turnover affect profitability in consumer manufacturing companies listed on the Indonesia Stock Exchange from 2019 to 2023, using secondary data collected via purposive sampling. The independent variables in this study include the natural logarithm of total assets, asset growth (this year’s total assets relative to the previous year), and tangibility (the fixed asset ratio to total assets). Leverage uses the debt-to-asset ratio, and total asset turnover uses the total asset turnover ratio, while the dependent variable of profitability uses return on assets. Of the 108 companies in the population, 19 that met the research sample criteria were selected, yielding 95 observations. Data analysis was conducted using multiple linear regression, accompanied by classical assumption tests and hypothesis testing through F-tests and t-tests. The findings of this study reveal that asset growth has a significant positive effect on profitability, while leverage shows a significant negative effect. However, firm size, tangibility, and total asset turnover do not exhibit significant relationships with profitability. This study contributes both theoretically and practically to understanding the internal determinants of financial performance in the consumer sector and serves as a reference for management.

This study aims to analyze the effect of financial literacy and financial inclusion on the financial management of Micro, Small, and Medium Enterprises (MSMEs) in Makale District. Sound financial management is an important factor for the sustainability and growth of MSMEs; therefore, an empirical examination of the factors influencing it is necessary. This study employs a quantitative approach using a survey method. Data analysis is conducted through multiple linear regression with the assistance of SPSS statistical software version 26. The research population includes all MSME actors in Makale District, with a sample of 88 respondents selected using a random sampling technique to ensure equal participation opportunities. The independent variables in this study are financial literacy and financial inclusion, while the dependent variable is MSME financial management. The results indicate that financial literacy has a positive and significant partial effect on MSME financial management. This finding suggests that the better MSME actors understand financial concepts and practices, the better their ability to manage business finances. In contrast, financial inclusion does not have a significant partial effect on financial management. However, financial literacy and financial inclusion simultaneously have a significant effect on financial management. The coefficient of determination of 69.3% indicates that most of the variation in MSME financial management can be explained by these two variables. This study concludes that improving financial literacy is a key factor in enhancing MSME financial management.

Waste has become a serious environmental problem in Indonesia, which continues to increase along with population growth. The issue of waste management poses serious challenges for the environment, especially in the process of separating organic and inorganic waste. In the field of computer vision, recognising the type and shape of waste through camera images remains a challenge due to variations in shape, colour, and complex lighting conditions. Therefore, this problem utilises Deep Learning technology, which is expected to be widely applied in Indonesia, especially in large cities with high waste volumes. This study aims to distinguish between organic and inorganic waste using the Convolutional Neural Network (CNN) method based on digital images. The developed CNN model was trained to recognise the visual patterns of each type of waste and tested to measure its accuracy. The test results show that the CNN-based classification system is capable of achieving an accuracy rate of 95%, thus proving the effectiveness of this method in supporting artificial intelligence-based automatic waste sorting systems.

This study aims to investigate the empirical impact of population size and unemployment rates on economic growth in Central Kalimantan Province. The research focuses on the regional context of Central Kalimantan, utilizing a longitudinal dataset covering the eleven-year period from 2013 to 2024. To achieve the research objectives, the study employs quantitative analysis through the SPSS software package, utilizing multiple linear regression as the primary analytical tool to examine the relationship between the dependent variable (economic growth) and the independent variables (population and unemployment). The findings of the analysis reveal a divergent impact between the two independent variables. The results indicate that the population has a significant and positive influence on economic growth in Central Kalimantan during the 2013-2024 period, suggesting that demographic factors play a crucial role in regional expansion. Conversely, the unemployment rate was found to have no significant effect on economic growth within the same timeframe. Furthermore, the study conducted a comprehensive suite of classical assumption tests to ensure the validity and reliability of the statistical model. The results of these diagnostics confirm that the regression model adheres to the assumption of normality, shows no evidence of multicollinearity among the variables, and is free from symptoms of heteroscedasticity. Additionally, the analysis concludes that the model does not exhibit any issues related to autocorrelation. Consequently, the regression model is deemed statistically robust and appropriate for providing an accurate representation of the economic dynamics in Central Kalimantan.

The growth of the elderly population reaching 12% requires efforts that not only focus on weaknesses, but also the potential of the elderly. This study aims to describe the potential and strengths of the elderly, analyze the role of LKS LU Payung Besurek in implementing the Strengths Perspective and the Asset-Based Community Development (ABCD) model in assisting the elderly. The research approach uses descriptive qualitative, six people consisting of; the head of the institution, social workers, and four assisted elderly determined by purposive sampling technique. Data collection uses interviews, observation, and documentation. Data analysis uses the Miles and Huberman model, namely, the results of the study show that the assisted elderly LKS LU have physical, economic, social, spiritual, and psychological potential. The elderly are still able to work simply, are active in religious, social, economic activities and have good life motivation.The institution plays a role through spiritual, social, health, and economic development, including skills training. The Strengths Perspective approach is seen in efforts to explore and strengthen the potential of the elderly, while the application of the ABCD model is reflected in five principles: community leadership, social relationships, asset utilization, place-based, and inclusion without discrimination. This study concludes that the eld erly can remain independent, productive, and empowered if they receive support from institutions, families, and the social environment.

Indonesia ranks second as the world’s largest fishery-producing country. However, this potential contrasts with the relatively small and stagnant contribution of fishery exports to the GDP each year when compared to other export commodities in the agricultural sector. This study aims to determine the export competitiveness of fisheries and the effect of Indonesia’s GDP, the GDP of destination countries, Indonesia’s population growth rate, the population growth rate of destination countries, and economic distance simultaneously and partially on the value of Indonesia’s fishery exports to 20 destination countries. This research uses panel data, consisting of cross-section and time series data for the period 2018–2022. The data analysis technique employs panel data regression with the assistance of the Eviews-12 analysis tool. The results show that Indonesia’s GDP, the GDP of destination countries, Indonesia’s population growth rate, the population growth rate of destination countries, and economic distance simultaneously have an effect on Indonesia’s fishery exports. The population growth rate of destination countries has no effect on fishery exports, while economic distance has a significant negative effect on Indonesia’s fishery exports.

Low Birth Weight (LBW) is one of the leading causes of neonatal mortality and contributes to an increased risk of growth and developmental disorders in later life. Maternal nutritional status during pregnancy and the utilization of antenatal health services are important factors influencing fetal growth and development. Pregnant women with poor nutritional status are at higher risk of delivering low birth weight infants due to insufficient intake of essential nutrients required during pregnancy. In addition, inadequate utilization of antenatal care services may result in delayed detection and management of pregnancy-related complications. This study aimed to determine the relationship between maternal nutritional status and the utilization of health services with the incidence of LBW. The research employed an observational analytic design with a cross-sectional approach. The study population consisted of all women who delivered in the working area of Puskesmas X in 2026. A total of 80 respondents were selected using purposive sampling. Data were collected from maternal and child health (MCH) books and medical records and analyzed using the Chi-square test. The results showed a significant relationship between maternal nutritional status and the incidence of LBW (p=0.002), as well as between the utilization of health services and the incidence of LBW (p=0.004). It can be concluded that maternal nutritional status and compliance with antenatal visits are significantly associated with LBW, highlighting the need to improve nutritional monitoring and the quality of antenatal care services.

This study aims to analyze the effect of welfare inequality on poverty levels on the island of Sumatra. Welfare inequality is measured using the Gini Index, while poverty levels are measured by the percentage of the poor population at the provincial level. This study uses a quantitative method with a panel data approach covering ten provinces on the island of Sumatra during the period 2020–2024. The analytical techniques used include panel data regression with fixed and random effects models, as well as classical assumption testing to ensure model validity. The results show that welfare inequality has a positive and significant effect on poverty levels, meaning that increasing inequality in income distribution tends to increase the number of poor people. This finding indicates that uneven economic growth can worsen the welfare of the community, especially low-income groups. Therefore, more inclusive and sustainable development policies are needed, particularly in increasing equitable access to education, health services, and productive employment opportunities to reduce inequality and poverty levels on the island of Sumatra.