This report aims to identify and address the problem of stunting in prospective brides and grooms in the Piyeung Health Center area, Aceh Besar. Stunting is a serious health problem that can affect the growth and development of children. Through the counseling activities carried out, the author seeks to increase the knowledge and awareness of prospective brides and grooms regarding the importance of good nutrition before and during pregnancy to prevent stunting. The methodology used in this report is Quasy Experiment. The results of this activity indicate an increase in understanding of nutrition and reproductive health among prospective brides and grooms. The conclusion of this report emphasizes the importance of appropriate and sustainable nutritional interventions to prevent stunting, as well as the need for support from various parties to improve the quality of public health. It is hoped that this report can be a reference for related parties in efforts to prevent stunting in the future.

This study aims to examine the relationship between teacher-student attachment and learning motivation of 3rd grade students at SDN Kaligandu Serang. Teacher-student attachment plays a crucial role in creating a supportive learning environment that nurtures students’ psychological development and academic enthusiasm. Employing a quantitative correlational approach, the study involved 40 elementary students as samples. Data were collected using a Guttman-scale questionnaire, validated and tested for reliability. The analysis was carried out using Pearson Product Moment correlation with SPSS assistance. The findings indicate a strong and significant positive relationship (r = 0.840) between teacher-student attachment and students' learning motivation. These results highlight the importance of fostering strong emotional bonds between teachers and students to enhance student motivation in the classroom context.

Handling drug abuse is one of the main focuses in the Prevention and Eradication of Drug Abuse and Illicit Trafficking (P4GN) efforts in Indonesia. In this context, medical and social rehabilitation plays an important role as a recovery effort for addicts to return to optimal functioning in society. This community service activity uses a qualitative approach with a combination of observation, interview, and digital-based direct intervention methods in handling medical and social rehabilitation for drug abusers. This community service activity successfully implemented a digital-based medical and social rehabilitation strategy in supporting the P4GN program with a smart power approach. A web-based information system and mobile application designed to facilitate registration, monitoring, and mentoring of rehabilitation patients were successfully developed. This system provides easy access to information for the community and drug abusers to register and obtain rehabilitation services efficiently without having to come directly to the rehabilitation facility. The digital rehabilitation system is integrated with national electronic medical record platforms (such as SIRENA and the Ministry of Health's SATU SEHAT service), thus facilitating coordination between institutions and ensuring continuous monitoring of client health during and after the rehabilitation period. This community service activity successfully demonstrated that the handling of medical and social rehabilitation in a digital-based P4GN strategy with a smart power approach is an effective solution in an effort to realize a drug-free society. The smart power approach that integrates hard power (law enforcement) and soft power (prevention, community empowerment, and rehabilitation) with the support of digital information technology can improve the accessibility, effectiveness, and quality of rehabilitation services.

This study aims to analyze and compare migration data with the population growth projections of Gorontalo Province for the 2020–2035 period. A descriptive quantitative approach was used to evaluate in- and out-migration patterns based on the 2020 Long Form Population Census and BPS population projections. The findings reveal regional migration disparities, with Gorontalo City and Bone Bolango Regency experiencing positive net migration, while Pohuwato and Boalemo show high out-migration rates. Meanwhile, the demographic projections indicate an increasing dependency ratio and a significant growth in the elderly population. The combination of migration dynamics and demographic trends affects the age structure and regional capacity to support sustainable development. These findings provide an essential basis for evidence-based migration policy formulation to reduce regional disparities and strengthen local economic development.

Elderly aged 60-70 years will experience changes in body condition, both physical and mental changes such as decreased physical fitness and cognitive disorders. This study aims to determine the level of fitness and cognitive disorders of elderly aged 60-70 years who participate in Tai Chi gymnastics. The method used is descriptive analytical with a Cross Sectional approach. The subjects of the study were 20 elderly aged 60-70 years, using a purposive sampling technique. The data collection technique for physical fitness levels was measured through the Six minutes walk test, while cognitive disorders used the mini-mental state examination (MMSE) questionnaire. The results of the study showed that the average level of male fitness was in the moderate fitness category (40.3%), the good category was (50%) and the very good category (6.3%), while female physical fitness was in the moderate fitness category (75%) and the very good category (25%). Research Results Cognitive disorders in elderly men who were in the normal category were 87.5% and probable cognitive disorders were 12.5%, while in elderly women cognitive disorders were in the normal category were 100%. In conclusion, the level of physical fitness of the elderly is in the good category, while cognitive disorders of the elderly are in the normal category

The study focuses on addressing fatigue among healthcare workers in Emergency Room (ER), vital in delivering health services but prone to worker fatigue. Using objective measures like cardiovascular load (%CVL) and Bourdon Wiersma test, it evaluates physical and mental fatigue. Leveraging the System Engineering Initiative for Patient Safety 2.0 (SEIPS 2.0) model, it comprehensively analyzes factors affecting fatigue. Data collection includes surveys and statistical analysis through Structural Equation Modeling-Partial Least Squares (SEM-PLS). Results show all workers experience fatigue, with physical fatigue affected by age and gender, and mental fatigue influenced by workload. The outer model analysis confirms convergent and discriminant validity, and reliability of the constructs. The inner model analysis reveals the work system significantly affects fatigue, while the process does not. The study emphasizes the importance of addressing fatigue to improve worker well-being and enhance patient care in ER, providing actionable insights for healthcare organizations.

In educational research, identifying variables and determining data sources are essential components in designing a systematic and accurate study. Research variables refer to the elements that are observed and measured within a study. These variables can include student achievement, motivation, teaching strategies, or learning environment conditions. Generally, variables are categorized as independent, dependent, control, or moderator variables. The independent variable is the influencing factor, while the dependent variable is the outcome. Control variables are held constant to avoid interference, and moderator variables affect the strength or direction of the relationship. The process of identifying variables begins with formulating the research problem and objectives. By reviewing theoretical frameworks and previous studies, researchers can focus their investigation on measurable aspects. For instance, in a study about the effectiveness of online learning on student performance, the independent variable is online learning, while the dependent variable is student achievement. Beyond identifying variables, researchers must also determine the appropriate types of data sources. Data sources are generally divided into two categories: primary and secondary. Primary data are collected directly from research subjects, such as through interviews, observations, or questionnaires. Secondary data, on the other hand, are obtained from existing sources like documents, books, journals, or official reports. The choice of data source must align with the research approach—quantitative, qualitative, or mixed methods. In quantitative research, primary data such as test scores or survey responses are used to measure variables numerically. In qualitative research, in-depth interviews and observations are commonly used to explore meanings and context. Using both types of data in combination can enhance data validity through triangulation. Ultimately, researchers must ensure the validity and reliability of their data, while also maintaining ethical standards in data collection and reporting. By understanding how to identify variables and select appropriate data sources, educational research can yield credible findings that contribute meaningfully to educational theory and practice.

Kampung 4 Village has great potential in developing home-based culinary businesses as a strategy to increase family economic independence. One promising business opportunity is Tuna Balado Rice Bowl, a practical food product that combines tuna as the main ingredient with the distinctive flavor of balado. This product has broad market prospects because it is easy to produce, has high nutritional value, and is in line with the trend of fast food that is in demand by various groups. In addition, this business can be run with relatively affordable capital and has broad marketing potential through digital strategies such as social media and delivery services. Seeing these opportunities, the Tuna Balado Rice Bowl business can be an alternative home-based business that is competitive, able to increase family income, and contribute to strengthening the local economy in a sustainable manner.

The implementation of e-government has become a key strategy for enhancing public trust in government institutions, particularly in ASEAN countries with varying levels of digital transformation. However, the extent to which e-government adoption influences public trust remains unclear due to disparities in digital infrastructure, public engagement, and policy frameworks. This study examines the relationship between e-government implementation and public trust in ASEAN, identifying key influencing factors. This research employs a quantitative approach using panel data analysis of e-government indices and public trust levels from 2015 to 2023. The dataset includes ten ASEAN countries, covering variables such as the E-Government Development Index (EGDI), digital participation rates, and GDP per capita. The results indicate a significant positive correlation (r = 0.78, p < 0.01) between e-government adoption and public trust, with countries having higher digital participation rates (above 60%) experiencing greater trust improvements. Furthermore, transparency and service reliability (? = 0.64) are more influential than economic factors such as GDP per capita (? = 0.32) in shaping public trust. These findings highlight the crucial role of digital service quality and citizen engagement in fostering public trust beyond economic growth. This study contributes to the literature by emphasizing the need to strengthen digital infrastructure and public participation in e-government initiatives. Future research should explore the socio-political aspects of e-government adoption to provide a deeper understanding of its long-term impact on governance.

This study aims to analyze the effect of speed training methods on 100-meter running ability in adolescents aged 16-17 years in Serang City. The background of this study is the importance of speed training in improving running performance, especially in adolescents who are growing. The purpose of this study was to determine the significant effect of various speed training methods on 100-meter running time. This study used a quasi-experimental design with a control group, which involved measurements before and after training. The study sample consisted of 100 adolescents (50 people in the experimental group and 50 people in the control group). The experimental group followed a speed training program that was arranged for eight weeks, while the control group continued their usual physical activities. The results showed a significant increase.