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Exclusive breastfeeding is the provision of only breast milk without any other food or drink from birth to six months of age. The practice of exclusive breastfeeding is very important in supporting infant growth and development and reducing infant morbidity and mortality. However, the coverage of exclusive breastfeeding is still not optimal, including for mothers with first-born children (first-born toddlers). This study aims to determine the determinants of exclusive breastfeeding in first-born toddlers in the work area of ​​Dewantara Health Center, North Aceh with variables of knowledge, attitude, and support for breastfeeding. This study uses a quantitative research type with a cross-sectional design. The population in this study were all mothers who had their first-born children (first-born toddlers) in the work area of ​​Dewantara Health Center, as many as 30 people. The sampling technique used total sampling so that the entire sample population was used. Data collection was carried out using a questionnaire and analyzed using the Chi-Square test. The results showed no significant relationship between maternal knowledge and exclusive breastfeeding (p=0.241), no relationship between maternal attitudes and exclusive breastfeeding (p=0.786), and no relationship between breastfeeding support and exclusive breastfeeding (p=0.850). The conclusion of this study is that knowledge, attitudes, and support for breastfeeding are not significantly related to exclusive breastfeeding in first-born toddlers. It is recommended that health workers improve breastfeeding education and support, and strengthen family support for the success of exclusive breastfeeding.

In demographic studies, population growth refers to changes in the number of inhabitants over a given period, measured by calculating numerical differences in population size and expressing them within specific time units to illustrate patterns of increase or decline. Based on data from Tembalang District in Figures 2025, the population growth rate in Kedungmundu Village rose by 0.51% between 2016 and 2025, with most residents relying on clean water services provided by PDAM Tirta Moedal as their primary source of drinking water. This study aims to estimate clean water demand based on projected population growth and to design a pipeline network system capable of meeting future needs. The analysis of water demand applies population projection methods, including arithmetic, geometric, and least square approaches, to compare their levels of accuracy, while the clean water distribution network is modeled using EPANET 2.0. One of the main challenges faced by PDAM is that service coverage has not yet been fully optimized. The ten-year projection results indicate that the arithmetic method provides a correlation value closest to 1, estimating a future population of 14,904 people with a total clean water requirement of 3.48 liters per second. To support this projected demand, the proposed network design utilizes High Density Polyethylene (HDPE) pipes with diameters of 12, 10, and 8 inches to ensure efficient and sustainable water distribution.

Children at the elementary school level are in a phase of rapid growth, encompassing intellectual, physical, and social development. Within the age range of 6–12 years, children are expected to begin managing their own self-care, including maintaining daily personal hygiene. Personal hygiene refers to a set of self-care practices performed to maintain physical health and psychological well-being. Independence in personal hygiene can be defined as a child’s ability to carry out personal hygiene activities independently without reliance on others, related to both physical cleanliness and psychological comfort. This study aimed to describe the level of personal hygiene independence among school-age children at SD Negeri 1 Gianyar. The research employed a quantitative descriptive design with a cross-sectional approach. The study population consisted of 376 students from grades I to III, with a sample of 194 students selected using proportionate stratified random sampling. The results showed that the majority of respondents demonstrated good independence in personal hygiene, with 186 children (95.9%) categorized as independent, while 8 children (4.1%) were categorized as moderately independent. Children’s independence tended to increase with age, and no significant differences were found between male and female students. These findings indicate that the role of families and schools, through consistent habituation and support, plays a crucial role in fostering children’s independence in maintaining personal hygiene.  

Early detection of child growth and development is a crucial effort to prevent developmental delays and health problems in children. Family involvement plays a significant role because the family is the closest environment to the child and has continuous interaction in daily life. This study aims to analyze the effectiveness of a family education program in improving parents’ knowledge and skills in detecting child growth and development. The research employed a quantitative approach with a quasi-experimental design using a pretest–posttest method. The population consisted of families with children aged 0–6 years, with samples selected using purposive sampling techniques. Data were collected through questionnaires and observation sheets measuring parents’ knowledge, attitudes, and skills related to growth and developmental detection. Data analysis was conducted using paired sample t-tests. The results showed a significant increase in parents’ knowledge and skills after participating in the family education program. The findings indicate that structured and continuous family education can enhance parents’ ability to monitor child growth and development independently. This study implies that family-based education programs can be integrated into community health services as a preventive strategy to improve child health outcomes.

The city of Singkawang has experienced rapid population growth, leading to an increase in the number of students. On 17 September 2024, the Singkawang City Transportation Agency implemented a free revitalized Student Transport service to reduce the number of traffic accidents involving students. The aim of this study is to identify service and respondent characteristics, evaluate operational management, and assess performance and user satisfaction using the IPA and CSI methods, as well as Vehicle Operating Costs (VOC). The research employs a descriptive quantitative method by analyzing descriptive statistical data. Data were obtained from field observations, interviews, and surveys of 400 student respondents (146 users and 254 non-users). The results show that the student transport operates with two vehicles serving the North and East Singkawang routes. The load factor for outbound trips is 22%–32% and for return trips is 11%–12%, with travel times of 68–85 minutes, average operating speeds of 20–22 km/hour, and circulation times of 68–85 minutes. Based on the IPA analysis, the indicators in quadrant D require socialization regarding the functions and use of the interior of the student transport. The CSI result shows a score of 99.79% (very satisfied). The annual VOC amounts to IDR 292,905,814 (East Singkawang) and IDR 282,020,390 (North Singkawang). In conclusion, this service is satisfactory but still requires socialization to enhance its attractiveness and effectiveness.

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.

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 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.

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.

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.

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.

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.

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.

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 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.