Stunting is a state of chronic malnutrition associated with nutritional insufficiency.  Stunting can increase the risk of morbidity and mortality, hindering children's growth and development.  Malnutrition in toddlers can also arise due to the cultural practices, eating habits, and social norms related to food intake. The role of the family and the community is very important in ensuring the success of stunting prevention programs. This study aimed to undertake a systematic review of the international literature on community-based interventions to prevent stunting in children under 5 years. We reviewed original quantitative research from Scopus, Science Direct, PubMed, and ProQuest using the keywords “community intervention” OR “family intervention” AND “stunting” AND “toddlers”. We conducted a critical appraisal using PRISMA guidelines on evidence documenting the community-based intervention or program as a strategy to reduce stunting in toddlers, between 1 January 2013 and 31 January 2023 with the inclusion criteria of English-language, full-text, open-access, quantitative studies. Thirteen peer-reviewed papers met the inclusion criteria. This review found that family-based intervention could improve child growth and community-based intervention could strengthen the community health systems. The existing evidence showed a positive impact of community and family-based intervention to prevent stunting.  Family-strengthening interventions may have an impact on reducing stunting among children under 5 years. 

The Ministry of Social Affairs, as a public institution, holds a strategic role in managing budgets for social welfare programs that directly impact the community. This study analyzes the performance of the Ministry’s financial reports using the Balanced Scorecard (BSC) approach, which encompasses four key perspectives: financial, customer, internal business processes, and learning and growth. The main objective of this research is to evaluate the extent to which the financial reports reflect the effectiveness and efficiency of budget management as a form of public institutional accountability. A descriptive qualitative method with a case study approach was employed, collecting data through in-depth interviews with relevant stakeholders and an analysis of published financial report documents. The data analysis was conducted interpretively through stages of theme categorization, coding, meaning interpretation, and validation using data triangulation, which were then synthesized into the Balanced Scorecard framework as a supporting evaluation tool. The findings indicate that, from the financial perspective, budget realization aligns with targets, though efficiency can still be improved. From the customer perspective, the public appreciates the social assistance but criticizes inaccuracies in recipient targeting. The internal business process perspective reveals that aid distribution functions relatively well, despite technical obstacles in the field. Meanwhile, the learning and growth perspective highlights the need to enhance human resource capacity. Overall, the Balanced Scorecard offers a comprehensive view of the Ministry’s financial performance and social policy implementation.

This study aims to analyze the impact of information overload on decision postponement, with customer confusion as a mediating variable, in the context of consumer behavior on e-commerce platforms in Indonesia. The study adopts a quantitative approach, conducted through a survey method using Google Forms as the data collection instrument, involving 150 active e-commerce users as respondents. Data analysis was carried out using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique. The findings reveal that information overload has a positive and significant effect on both customer confusion and decision postponement. Moreover, customer confusion is found to significantly mediate the relationship between information overload and decision postponement. These results support the Stressor–Strain–Outcome (SSO) theory and indicate that excessive information load can lead to confusion, which in turn causes consumers to delay decision-making. This study contributes to the enrichment of theoretical literature in the field of digital consumer behavior and provides practical implications for e-commerce practitioners in managing the information presented to consumers.

Penelitian ini mengeksplorasi proses pengambilan keputusan investor dalam reksa dana ETF. Hasil penelitian menunjukkan bahwa perusahaan secara aktif meningkatkan pemahaman investor melalui berbagai saluran edukasi, termasuk media sosial, webinar, dan sosialisasi langsung. Pendekatan ini sejalan dengan prinsip-prinsip Keuangan Perilaku, yang mengakui bahwa investor sering mengandalkan heuristik dan dipengaruhi oleh bias yang dapat dikurangi dengan informasi terstruktur. Namun, investor juga menghadapi tantangan dalam pengambilan keputusan, seperti volatilitas pasar, misinformasi, kurangnya kepercayaan diri, dan pilihan yang berlebihan, yang mencerminkan bias perilaku umum seperti penghindaran ambiguitas. Untuk mengatasi tantangan ini, perusahaan mendukung investor dengan menawarkan layanan profesional yang tepercaya dan produk investasi yang jelas dan terstruktur, yang membantu menstabilkan perilaku investor dan membangun kepercayaan.

Many mechanical systems with elastic and damping properties are prone to resonant phenomena at natural frequencies under the action of external forces. Resonance phenomena can also be preserved in control systems of such objects closed by negative feedback, which reduces the quality of the functioning of these systems. The paper under review deals with the practically important problem of suppressing oscillations at natural frequencies in control systems for a linear oscillator, which is traditionally considered a dynamic object described by a second-order differential equation with complex roots of the characteristic equation. The focus of the work is the question of the roughness of the system in relation to inaccurate knowledge of the resonant frequency of the controlled object (which is typical for many technical applications).

learning, communication, and data management activities. This study aims to design a LAN network topology that suits the needs and environmental conditions, both at home and in small to medium-scale educational institutions. The methodology used includes hardware requirements analysis, network topology selection, and simulation using software such as Cisco Packet Tracer. The design results show that the use of a star topology for home networks and a combination of star and extended star topologies for schools provide optimal performance in terms of speed, scalability, and ease of maintenance. This design also takes into account aspects of security, cost efficiency, and ease of future development. The development of information technology drives the need for reliable and efficient computer networks, especially in home and school environments. The design of Local Area Networks (LANs) is an important solution in supporting integrated

The study presents a comprehensive framework for optimizing customer retention budget by integrating clustering, classification, and mathematical optimization techniques. The study begins with the IBM Telco dataset, which is prepared through data cleansing, encoding, and scaling.  In the preliminary phase, customer segmentation is performed using K-Means clustering, with k = 3 and k = 4 identified as optimal based on the elbow method and Silhouette score. The configurations produced three (Premium, Standard, Low) and four (Premium, Standard Plus, Standard, Low) customer segments based on purchase preferences, which served as input features for churn prediction. In the second phase, the dataset was divided into training and test sets in an 80:20 ratio, followed by data balancing using the Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbors (ENN). Multiple classification algorithms were evaluated, including Naive Bayes (NB), Random Forest (RF), Categorical Boosting (CatBoost), Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost), Gradient Boosting (GB), Support Vector Machine (SVM), Logistic Regression (LR), K-Nearest Neighbors (KNN), and Multi-Layer Perceptron (MLP) using F1-score as the performance metric. CatBoost and LightGBM, with k values of 3 and 4, respectively, were the highest-performing classification models, with only minimal differences in performance.    Ultimately, customer segmentation established customer prioritization, whereas churn prediction assessed customer churn likelihood. Four distinct configurations were assessed utilizing mixed-integer linear programming (MILP) to optimise retention budget allocation within uniform budget constraints, discount amounts, and churn thresholds. In both the k=3 and k=4 scenarios, CatBoost surpassed LightGBM, with CatBoost at K=3 effectively discounting 66% of at-risk consumers across all three segments, hence improving the intervention's efficacy and budget allocation, making it the ideal choice for maximizing customer retention. The results demonstrate the importance of segmentation in enhancing retention budgeting and budget optimization, particularly concerning parameter sensitivity.

Study seeks to analyze the effect of VAT reduction, lifestyle and social environment on the interest in buying subsidized cars in the city of Yogyakarta. This study utilizes quantitative descriptive research and collects primary data through the use of questionnaires. The study includes 140 respondents working in Yogyakarta city. Sampling methodology in this study involved snowball sampling. Data analysis is multiple regression analysis. This study provides results that the decrease in VAT has no effect on the interest in buying subsidized cars, while the lifestyle and social environment of consumers have a positive effect on the interest in buying subsidized cars

From the standpoint of service marketing management, customer satisfaction plays a significant role in fostering loyalty and a favorable perception of organizations, including educational institutions. As the ones who get educational services, students play a crucial part in evaluating the caliber of school services. The purpose of this study is to examine how student satisfaction at SMKS YAMI Waled, Cirebon Regency, is impacted by the school's surroundings, amenities, and administrative services. Ninety respondents were given questionnaires as part of the study's associative quantitative methodology. Coefficient of determination (R2), t-test, F-test, and multiple linear regression were the data analysis methods employed. The findings demonstrated that, partially and concurrently, the elements of the school environment, facilities, and administrative services had a favorable and significant impact on student satisfaction. The three independent variables considerably contributed to the explanation of changes in student satisfaction, as demonstrated by the coefficient of determination (R2) value of 35.7%. According to these results, maintaining a positive school climate, offering sufficient facilities, and providing effective administrative support are all critical to raising student satisfaction. As a result, schools must put plans into place to raise the standard of instruction in a sustainable and integrated way..
 

Culinary MSMEs in the city of Maumere produce significant food and packaging waste that can cause environmental pollution such as soil and water as well as problems for the sustainability of culinary MSMEs if not properly managed. Awareness of the importance of sustainable business practices is increasing on a national scale, but culinary MSMEs in the city of Maumere are not optimal. Green technology innovation and the adoption of environmentally friendly practices are strategies that can increase competitiveness while supporting business sustainability. That way, the environmental sustainability aspect not only reduces the negative impact on the ecosystem, but also creates new business opportunities through the development of environmentally friendly products and services. The purpose of this study was to determine the influence of green financial literacy on the use of green financing among culinary MSMEs in Maumere City, and the use of green financing affects the adoption of recycling and composting technology among culinary MSMEs in Maumere City. This study uses a qualitative approach to understand the use of green financing for recycling and composting technology among culinary MSMEs in Maumere city. The findings in this study through SWOT analysis are that the implementation of green financial literacy in the culinary MSME sector in Maumere has a significant foundation of strength and opportunities. However, its success is highly dependent on literacy capacity building, policy support, and access to green financing that is easily accessible to small business actors. An integrated strategy between the government, financial institutions, and MSME actors will be the key to realizing culinary MSMEs that are not only competitive, but also environmentally sustainable.