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The SQ-FFQ is a commonly used food consumption assessment method because it is quick, relatively inexpensive, simple, and can be self-administered by respondents. Each SQ-FFQ instrument developed should be validated for the target population to avoid overestimation of food consumption measurements. This study aims to determine the validity of the SQ-FFQ instrument as a tool for assessing food consumption. The 3 Days Food Record is used as the gold standard for comparison in the validity of the SQ-FFQ. Sampling was conducted using accidental sampling, with 30 student respondents. The Nutrisurvey application was used to determine the intake of energy, macronutrients, and micronutrients. Meanwhile, for the diversity score, it was based on the IDDS (Individual Dietary Diversity Score) with a score scale of 0-9. Data analysis was performed using SPSS software with Pearson Correlation tests to examine the relationship between the two methods. The correlation coefficient values for all nutrients showed a significance level of <0.005, with the highest correlation coefficient found for energy intake (r=0.708, p<0.001) and the lowest for iron intake (r=0.412, p=0.024). The correlation test for consumption diversity showed a p-value of <0.001 with a correlation coefficient of 0.706, indicating a strong relationship between the SQ-FFQ method and the 3 Days EFR. The results of this study indicate that the SQ-FFQ method is a valid tool for measuring food intake and diversity among university students in Surabaya.

Communication is the process of exchanging information, ideas, thoughts, and feelings between individuals or groups through the use of words, signs, or actions. This process can take place verbally or non-verbally and involves various media and channels, such as face-to-face conversations, writing, gestures, facial expressions, and digital technology. This research was conducted at STMIK Kaputama Binjai, namely the WhatsApp group between lecturers and students. This study uses the Support Vector Machine (SVM) method. SVM is a type of supervised learning machine learning that requires sample data. Support Vector Machine (SVM) is an algorithm developed by Boser, Guyon, and Vapnik in 1992. Support Vector Machine (SVM) has a concept that is combined with previous computational theories. This method can transform training data into higher dimensions using non-linear patterns. The results of the Support Vector Machine method classification with a total of 16 positive sentiments, 40 neutral sentiments and 71 negative sentiments. Accuracy value 67%, margin error 39%. Positive prediction precision 75%, neutral prediction precision 83% and negative prediction precision 88%..

The National Health Insurance Program, the Healthy Indonesia Card, is increasingly being utilized by the community. Improving the quality of services is also the focus of the efforts made. However, these improvements are expected not to be fragmented in just one aspect of the service. The goal of service quality is to meet or even exceed community expectations. The purpose of this literature review is to review how to improve the quality of National Health Insurance services in public health facilities. The literature used in this study is by determining articles that meet the inclusion criteria. The database used is Google Scholar. The year of publication of the literature sources taken is the last 5 years between 2020 and 2025. The literature sources use English or Indonesian. The results of 5 articles obtained that to improve the quality of National Health Insurance (NHI) services in public health facilities, namely by providing access to services, completing infrastructure that is still lacking, implementing the Healthy Indonesia Card Health Insurance Program Policy, and increasing the professionalism of human resources. It can be concluded that improving the quality of National Health Insurance (NHI) services in public health facilities can also be done by building an ecosystem with integrity, utilizing technology to facilitate access to health services that can facilitate the community in utilizing health services. For the government, it is necessary to provide new policies to facilitate NHI participants in obtaining health services, strengthening cross-sector support, whether in the form of regulations, infrastructure, or funding. In addition, there is also a need for evaluation from various aspects in order to create good quality in the utilization of health services.

The study was conducted with the aim of determining whether there is an influence of the Numbered Head Together learning model on the learning outcomes of fifth grade students of SDN Swasta Al-Washliyah 80 Kisaran. Descriptive quantitative research in this study used an experimental research design with a Quasi Experiment Design model in the form of Non-equivalent Control Group Design. The population in this study was all fifth grade students of SDN Swasta Al-Washliyah 80 Kisaran. The results of data analysis showed that the average learning outcomes using the Numbered Head Together learning model in the experimental class were 85.7, while the average learning outcomes that did not use the Numbered Head Together learning model in the control class were 69.1. In the normality test, it is known that the pre-test and post-test results of the experimental class and control classes are normally distributed with the value obtained in the experimental class pre-test Test results = 0.051> α = 0.05 and in the post-test results Test results = 0.061> α = 0.05, while in the control class pre-test Test results = 0.057> α = 0.05 and in the post-test results Test results = 0.118> α = 0.05. The results of the homogeneity test of the research data, it is known that the research data comes from homogeneous samples with the acquisition of a homogeneity test value of 0.219> 0.05. The data were analyzed by hypothesis testing using the independent sample t-test with a significance level of α = 0.05 and degree of freedom (df) = 48. From the results of the hypothesis test, it was obtained tcount> ttable (4.056> 2.565) or Ha was rejected and H1. So it can be stated that there is a positive and significant influence between the implementation of the Numbered Head Together learning model on the learning outcomes of class V students of SD Swasta l-Washliyah 80 Kisaran.  

The irrigation efficiency is an important component on assessing the performance of an irrigation system. The analysis of irrigation loss is needed to obtain the amount of water lost along the channel. Water loss can be caused by a variety of factors, including water leakage along the canal, evaporation, and infiltration. This can certainly reduce the efficiency of water use. Irrigation a water loss analysis is very important to improve irrigation performance. This analysis will help you understand how much water is lost and what factors contribute to water loss. Based on this understanding, preventive measures can be taken and improvements can be made to increase productivity and water use efficiency. This research aims to evaluate the level of channel efficiency and measure the amount of water loss in the main channel in the Senden Irrigation Area.. The method of research implementation is to measure water discharge directly in the field. The result analysis showed that the average percentage of water loss in Senden main canal was 56.63%.  Maximum water loss value was recorded at 60.86%, while the minimum value was 52.55%. Factors affecting water loss due to evaporation showed an average value of 0.0685%, while water loss due to seepage was recorded at a very small 0.0003%. For the channel efficiency value shows that an average percentage of 43%. It is obtained with a maximum channel efficiency of 47% and a minimum channel efficiency of 39%. However, the water balance analysis shows a maximum value of 11.45 m3 /second. While the minimum value is -0.04 m3 / second.

One of the problems of cultivating Betta fish (Betta sp.) which can hamper this cultivation effort is the slow weight growth of the fish. The aim of this research is to determine the effect of providing different types of feed on the growth in weight and color of Betta fish (Betta sp.) size 1- 1.5 in the maintenance tank. The research containers used 27 used gallons with a capacity of 15 liters and each research container was filled with fresh water with a volume of 10 liters. The test animals used were Betta fish seeds measuring 1–1.5 cm. This research used an experimental method using an experimental design in the form of a Completely Randomized Design (CRD) with 3 treatments and 9 repetitions to obtain 27 trials. Other parameters that are also studied include water quality including water temperature ranged from 26,1 – 29 ̊C and pH (degree of acidity) ranged from 7 - 8.

Visitor satisfaction is very important to improve the quality of the swimming pool. Keeping the pool clean and improving facilities such as bathrooms and water cleanliness are the drivers of visitor satisfaction. Based on the survey results, it was found that the lack of cleanliness of the swimming pool was due to a lack of self-awareness on the part of visitors to maintain cleanliness and notification from the pool. The purpose of this study was to determine the level of satisfaction of visitors to Tirta Indah Swimming Pool, Kediri Regency, East Java. The type of research used is descriptive quantitative using purposive non random sampling with a sample of 80 people. The research instrument used a questionnaire sheet. This data collection uses questionnaire results and officer interviews. Data analysis techniques using descriptive statistical analysis. Data processing using editing and tabulating. The results showed that the level of visitor satisfaction with swimming recreation sports facilities at Tirta Indah Swimming Pool, Kediri Regency was classified as satisfactory, in the product quality category of 75.25%, price category of 80%, service quality category of 83.75%, emotional factor category of 63.75%, and convenience category of 81.25%. The conclusion related to the research is that the majority of visitor satisfaction at Tirta Indah Swimming Pool is categorized as satisfactory, partly satisfactory because many of the respondents are satisfied from the category of swimming pool ticket prices which are relatively cheap and most respondents are not satisfied because the prices of food and drinks in the swimming pool canteen are expensive.

This study focuses on the effect of applying the Contextual Teaching and Learning (CTL) model in the topic of reaction rate on the ability to think critically and the formation of character values of students in geographically remote areas (remote areas). This approach is designed to strengthen learners' understanding of scientific concepts in a relevant and contextual manner, by connecting them to the dynamics of real life - both in the personal, social and cultural domains. Thus, learners have the opportunity to build conceptual insights and adaptive skills independently. In addition, this real situation-based method contributes to fostering character values such as responsibility, discipline, innovation, curiosity, as well as social interaction skills and effective communication during the learning process. The literature review was conducted by collecting scientific publications released between 2018 and 2025. The findings of this review confirmed that the CTL approach has a real positive impact in honing critical thinking skills and fostering learners' character that supports their academic achievement. Therefore, it can be concluded that CTL is an efficient and relevant pedagogical method to be applied in teaching high school chemistry.

Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) are a widely used class of medications for managing pain and inflammation. However, long-term use of NSAIDs has been associated with an increased risk of gastrointestinal disorders, including Gastroesophageal Reflux Disease (GERD). This study aims to analyze the impact of NSAID use on GERD patients based on recent research findings. The literature search was conducted through national and international databases such as Elsevier, Google Scholar, and the National Institutes of Health (NIH) National Library of Medicine, using keywords including GERD, NSAID, LES (Lower Esophageal Sphincter), gastric acid, reflux, and regurgitation. A total of 25 journal articles published between 2016 and 2024 were used as data sources. The findings indicate that NSAIDs inhibiting cyclooxygenase-1 (COX-1) can reduce prostaglandin production, which plays a protective role in the gastric mucosa, thereby increasing the risk of irritation and acid reflux. Conversely, selective COX-2 NSAIDs have a lower risk of gastrointestinal side effects, making them a safer alternative for patients with chronic pain and inflammation. This study highlights the importance of selecting the appropriate type of NSAID and monitoring its long-term use to minimize the risk of gastrointestinal disorders, particularly in patients with a history of GERD. By considering these factors, it is hoped that complications related to NSAID use in patients with digestive issues can be reduced.

Bouquets have evolved from mere flower arrangements into a work of art that combines elements of aesthetics, creativity, and innovation. This study aims to examine bouquets as an art form by highlighting aesthetic elements, arrangement techniques, and their role in the creative industry. The method used in this study is descriptive qualitative with a literature study approach from various relevant journal references and articles. The results of the study indicate that bouquets not only have aesthetic value but also reflect artistic expression through the selection of colors, shape compositions, and various arrangement techniques. Innovations in making bouquets, such as the use of flannel, snacks, and recycled materials, are expanding the scope of bouquet art in the creative industry. In addition, bouquet art also contributes to the development of the community's economy through increasing business opportunities. Although bouquet art faces challenges such as market competition and fluctuations in raw material prices, its prospects remain promising with the development of technology and product personalization trends. Therefore, continuous innovation is needed so that bouquet art remains relevant and can continue to develop as part of the wider creative industry.

Mustofa Bakery is one of the businesses in Sukoharjo that operates in the food sector. The purpose of this study is to analyze product quality control using the Statistical Quality Control (SQC) method to reduce the number of damaged products and analyze the factors that cause product damage at Mustofa Bakery. The type of data used in this study is quantitative data. The data source used in this study is secondary data. Data collection methods by interview and observation. The data analysis technique used in this study uses the Statistical Quality Control (SQC) method. Based on the results of the research that has been done, it can be concluded that in March, April, and October it still exceeds the standard limit of production damage that has been set by Mustofa Bakery in Sukoharjo by 2%. The application of quality control with SQC can reduce the number of damaged products at Mustofa Bakery in Sukoharjo, proven to be true. The results of the Pareto Diagram of the types of damage that often occur are damage due to burning, 1,719 breads or 35.25%, damage due to inappropriate shape, namely 1,607 breads or 32.96%, and damage due to inappropriate texture as much as 1,550 breads or 31.79%. The results of the cause-and-effect diagram (fishbone) of the factors of product damage that occurred at Mustofa Bakery in Sukoharjo occurred due to machines, humans, methods, and raw materials.

MSMEs play a key role in the national economy, especially in increasing economic growth and creating new jobs. However, in the digital era, MSMEs face major problems, such as low levels of digital literacy, limited access to the internet, and fierce competition with large companies that have used technology before. This study examines the variables that influence the sustainability of MSMEs amidst digital challenges and finds methods that can be used so that MSMEs can survive and grow. The research method was carried out through surveys and direct interviews with MSME actors at Pasar Pagi Setia Budi, Medan, North Sumatra. The results of the study showed that most MSME actors did not utilize digital platforms for marketing and transactions, which resulted in decreased income. To increase competitiveness, MSMEs need to improve their digital knowledge, adopt online marketing strategies, and optimize the use of e-commerce and social media. Support from the government, financial institutions, and technology companies is also very important. In the increasingly competitive digital era, by implementing the right digitalization strategy, MSMEs can improve operational efficiency, expand market reach, and maintain the sustainability of their business.

Health risk stratification is crucial for preventive healthcare, yet existing models often rely on binary classification generalized disease prediction, neglecting personalized health indicators and graded risk levels. Many studies apply feature selection techniques like Relief and Univariate Selection without quantifying the weighted impact of features. To address these gaps, this study introduces a Big Data-driven Health Index (HI) framework using PySpark for scalable health risk stratification. The HI is computed as a weighted sum of health-related features using SHAP Analysis, XGBoost, Random Forest, and Correlation Analysis. PySpark enables efficient processing of large-scale health data, and individuals are classified into Low and High Risk. Optimal classification thresholds are determined using the Youden Index from the ROC curve to balance sensitivity and specificity. Personalized health recommendations are generated based on risk categories to guide preventive interventions. Performance evaluation reveals that Correlation Analysis achieves 100% precision and 98.90% recall, outperforming other methods. SHAP prioritizes recall but has low precision, while XGBoost and Random Forest improve precision but struggle with recall. By leveraging Big Data techniques with PySpark, this study enhances computational efficiency, scalability, and classification accuracy, addressing prior research limitations and providing a robust data-driven approach to personalized health monitoring.

Inclusive education in North Sumatra faces various challenges in efforts to achieve educational equality for all children, including children with special needs. This study aims to analyze the challenges and solutions applied in the implementation of inclusive education in the region. The results of the study indicate that the main challenges in inclusive education include limited facilities that support the needs of children with disabilities, the lack of teachers with special competencies, and minimal public understanding of the importance of inclusive education. Additionally, the limitations in resources and the lack of training for educators are also significant barriers to providing quality education for all children. However, several solutions have been implemented to address these issues. These solutions include improving teacher training to ensure educators have sufficient skills and knowledge in handling children with special needs, providing more supportive facilities and infrastructure such as disability-friendly classrooms, and efforts to socialize the importance of inclusive education to the community to reduce stigma against children with special needs. This study emphasizes that collaboration between the government, schools, and the community is essential to strengthen the implementation of inclusive education, in order to create a more inclusive and equitable learning environment for all children in North Sumatra.

Inclusive education in North Sumatra faces various challenges in efforts to achieve educational equality for all children, including children with special needs. This study aims to analyze the challenges and solutions applied in the implementation of inclusive education in the region. The results of the study indicate that the main challenges in inclusive education include limited facilities that support the needs of children with disabilities, the lack of teachers with special competencies, and minimal public understanding of the importance of inclusive education. Additionally, the limitations in resources and the lack of training for educators are also significant barriers to providing quality education for all children. However, several solutions have been implemented to address these issues. These solutions include improving teacher training to ensure educators have sufficient skills and knowledge in handling children with special needs, providing more supportive facilities and infrastructure such as disability-friendly classrooms, and efforts to socialize the importance of inclusive education to the community to reduce stigma against children with special needs. This study emphasizes that collaboration between the government, schools, and the community is essential to strengthen the implementation of inclusive education, in order to create a more inclusive and equitable learning environment for all children in North Sumatra.

This study analyzes the human development index, regional minimum wage, and labor force participation rate on poverty in North Sumatra in 2001-2023. The data used is secondary data in the form of time series obtained from the publication of the Central Bureau of Statistics. The analysis method used is multiple regression with E-Views software. The results showed that the human development index has no effect, the regional minimum wage has a negative effect and the labor force participation rate has a negative and significant effect on poverty, which indicates that an increase in the human development index tends to not affect poverty because it has a positive value. In contrast, the regional minimum wage and labor force participation rate show a negative and significant effect on poverty. Simultaneously, the human development index, regional minimum wage and labor force participation rate have a significant effect on poverty.

Micro, Small, and Medium Enterprises (MSMEs) play an important role in the Indonesian economy, contributing 61.07% to Gross Domestic Product (GDP) and absorbing 97% of the workforce. However, this sector still faces various challenges, both from internal factors such as limited capital, human resources, and access to technology, as well as external factors such as a less conducive business climate, inadequate infrastructure, and technological development. This study uses a qualitative method with a literature study approach to analyze the problems faced by MSMEs and find strategic solutions. The results of the study show that government support, optimization of access to financing, and utilization of digital technology are needed to increase the competitiveness of MSMEs so that they can continue to grow and make a greater contribution to national economic growth.

Micro, Small and Medium Enterprises are one of the most important pillars of the economy in Indonesia. MSMEs contribute significantly to Gross Domestic Product, employment, and regional development through income equality. This study attempts to obtain relevant answers regarding the strategic role of MSMEs in sustainable economic development in Indonesia, as well as the obstacles faced by this sector. Despite the government's role in sustainably encouraging MSMEs, this study shows that MSMEs still have difficulty accessing capital, government policies, and digitalization. This study uses a descriptive method to identify data that produces a good understanding of the factors that build the success of MSMEs. The results of the study show that the contribution of MSMEs to GDP is around 61.07%, employing 97% of the total number of jobs, namely MSMEs are quite important for the government and other stakeholders in supporting the role of MSMEs in inclusive and sustainable economic development.

Nikah siri is a marriage conducted without official state registration, resulting in significant legal implications for women and children. Religiously, this type of marriage is considered valid; however, from the perspective of state law, the lack of official registration causes women to lose their rights as wives, such as financial support, inheritance rights, and legal protection within the household. Additionally, women in nikah siri marriages do not have a strong legal basis to file for divorce or claim their rights in court. Meanwhile, children born from nikah siri marriages only have a civil relationship with their mother, making it difficult for them to obtain a birth certificate that includes their father's name, inheritances, and rights to care and education from their father. This study aims to analyze the impact of nikah siri on women's and children's rights from a legal perspective and examine the role of itsbat nikah as a legal instrument in providing certainty and protection for affected women and children. This research employs a literature study method with content analysis of various legal texts and related regulations. The findings indicate that the absence of official registration for nikah siri leads to legal uncertainty, resulting in the loss of various rights for women and children. Itsbat nikah serves as a crucial solution to provide legal recognition and protection for those affected. Therefore, official marriage registration is essential to prevent various legal issues that could harm women and children within Indonesia’s legal system.

Online gambling has emerged as a significant cause of divorce in modern society. This study aims to analyze the impact of online gambling addiction on marital relationships. Using qualitative methods, data were collected through interviews with couples who experienced divorce due to online gambling. The findings indicate that online gambling leads to significant financial problems, loss of trust, and prolonged emotional conflicts. This research highlights the importance of raising awareness about the risks of online gambling and the need for support for affected individuals. Thus, this study provides insights into how online gambling can undermine family structure and interpersonal relationships.