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Personal hygiene and nutritional balance are very important for everyone to know, including children during their most critical growth period, to know. This Community Service Lecture (KKN) activity aims to increase the knowledge and awareness of students at Public Elementary School 101848, Kuala Lau Bekeri Village, Kutalimbaru District, regarding the prevention of malnutrition and self hygiene through educational counseling. The method used was a descriptive method with a qualitative approach, implemented through interactive lectures, presentation media, and question and answer sessions. The number of participants were 90 students from grades I to VI. And with the teachers support in maintaining regularity and reinforcing the educational presentation about the counseling material included the definition of nutrition and malnutrition, signs, causes, healthy eating patterns, and clean and healthy living behaviors. The results of the activity showed high enthusiasm from the participants in participating in the counseling and their ability to name examples of healthy foods and the importance of a healthy lifestyle. This counseling successfully increased participants' understanding of the importance of balanced nutrition and healthy living behaviors that play a role in supporting the optimal growth and development of school-age children. The involvement of teachers and schools greatly supported the success of this activity. It is hoped that this counseling can form positive habits in maintaining students' nutrition and health in a sustainable manner.

The growth of e-commerce in Indonesia has changed consumption patterns, especially in the online purchase of skincare products. Shopee, as the largest marketplace, has become the main platform for brands such as Skintific, which has achieved high sales. This phenomenon shows the support of online consumer reviews (Electronic Word of Mouth/E-WOM) and digital shopping experiences (Online Customer Experience/OCE). This study aims to examine the influence of E-WOM and OCE on purchasing decisions for Skintific products on Shopee. This study used a quantitative method with an associative approach. The research sample consisted of 97 respondents obtained through purposive sampling. Data analysis was performed through validity and reliability tests, classical assumption tests, multiple linear regression, t-tests, F-tests, and the coefficient of determination (R²). The results of the study indicate that E-WOM has a positive and significant effect on purchasing decisions (calculated t = 5.209 > table t = 1.986; sig. <.001). OCE also has a positive and significant effect on purchasing decisions (t-count = 7.605 > t-table = 1.986; sig. <.001). Simultaneously, both independent variables have a significant effect on purchasing decisions (F-count = 101.366 > f-table = 3.09; sig. <.001). The coefficient of determination (R²) value of 0.683 indicates that 68.3% of the variation in purchase decisions can be explained by E-WOM and OCE, while the remaining 31.7% is influenced by other factors outside the research model. These findings confirm that consumer online reviews and positive online shopping experiences play an important role in increasing purchase decisions for Skintific products on Shopee.

Kampung Kelam Pagi, Dompak Village, focused on mapping the local road network as a foundation for sustainable development planning. The data collection process combined observation, interviews, and digital recording, resulting in both technical data (such as road length, width, and condition) and social data (including road naming conventions and patterns of community usage). The findings indicate notable disparities in infrastructure quality, with main roads mostly paved, while smaller neighborhood roads remain unpaved and lack adequate street lighting. This disparity in infrastructure quality highlights the need for targeted interventions to address the basic infrastructure needs of the community. In addition, the study emphasizes the importance of community involvement in the mapping process, which not only strengthened the social value of the maps but also fostered collective awareness of the importance of spatial data in village development. The discussion further underscores that local data availability is crucial for more participatory, inclusive, and community-oriented village planning, where decisions are based on accurate, locally sourced information. This study demonstrates that KKN activities do more than just provide technical data; they also help reinforce social capacity, empowering local communities to actively contribute to sustainable development efforts. Ultimately, such initiatives contribute to creating more resilient and well-informed communities that can participate in and benefit from development planning.

The Student Evaluation of Lecturers (EDOM) at the Faculty of Engineering, Universitas Dr. Soetomo has historically been conducted via Google Forms and processed manually, resulting in slow response times, repetitive recap procedures, and insufficiently documented reporting validity. This study aims to design, build, and evaluate a web-based EDOM system using the Prototype Model (MODEL PROTOTYPE) to improve data collection efficiency, recap accuracy, and the effectiveness of feedback for teaching quality assurance. The development method comprises requirements elicitation with the Quality Assurance Unit through a review of SPMI documents and brief interviews, architectural and interface design (Laravel, MVC pattern, and MySQL), staged prototyping, and rapid iterations based on stakeholder feedback until functional conformity is achieved. The resulting system provides authentication and role-based authorization (Admin, GPM, Lecturer, Student), odd/even period management, a question bank employing a Likert scale, anonymous questionnaire submission, score recap per lecturer and per category (pedagogical, professional, personal, social), dashboard visualizations, and report export to support governance needs. Functional evaluation was conducted through black-box testing on core scenarios (login, period scheduling, submission, recap, and export) and indicated conformance to specifications. User acceptance evaluation employed the Technology Acceptance Model (TAM) to examine perceived usefulness, perceived ease of use, attitude toward use, and behavioral intention; the results indicate positive acceptance and potential for operational adoption. Practically, the prototype approach accelerates requirement alignment, reduces the risk of mis-specification, and facilitates change control, while the Laravel-based implementation supports maintainability, role-based access security, and further feature development. The study is limited to a single faculty; future work may include SSO integration, audit trails, and longitudinal, cross-semester analytics for more comprehensive monitoring of lecturer performance.

Obesity among college students is a public health issue that is gaining increasing attention because it is associated with an increased risk of chronic diseases such as diabetes mellitus, hypertension, and heart disease, and can reduce quality of life and academic productivity. College students, as a group of early adults, are in a transition phase towards independence and are therefore vulnerable to lifestyle changes, including unhealthy eating patterns, fast food consumption, low physical activity due to busy studies, irregular sleep habits, and high academic stress. This study aims to determine the risk factors associated with obesity among students at the Islamic University of Ogan Komering Ilir in 2025. This study used a cross-sectional design with a quantitative approach. A sample of 95 students was selected using a purposive sampling technique. Data were collected through a structured questionnaire and body mass index (BMI) measurement to determine respondents' nutritional status. Independent variables included diet, physical activity, sleep quality, stress levels, and a family history of obesity. The results showed a prevalence of obesity of 17.9%. Bivariate analysis found a significant association between obesity and unhealthy diet (p=0.002), low physical activity (p=0.000), poor sleep quality (p=0.000), and high stress levels (p=0.001). Meanwhile, a family history of obesity showed a tendency to have an effect but was not statistically significant. These findings indicate that obesity in college students is largely influenced by modifiable lifestyle factors. Therefore, this study emphasizes the importance of health promotion interventions on campus, such as balanced nutrition counseling, increased access to sports facilities, stress management, and education on healthy sleep patterns. Promotive and preventive efforts undertaken from a young age are expected to reduce the risk of obesity and chronic disease in the future.

Speech delay in children is a developmental issue commonly encountered in society, which can affect various aspects of a child's life, including communication, social interaction, and academic development. Early detection of speech delay is crucial for providing appropriate interventions to minimize its long-term impact on the child. This study aims to introduce the use of machine learning algorithms in detecting speech delay symptoms in children. Three machine learning algorithms applied in this study are Naïve Bayes, C4.5, and K-Nearest Neighbor (K-NN). These algorithms are used to classify speech delay symptoms based on health data, medical history, and environmental factors such as speaking habits and eating patterns. The outreach was conducted at Puskesmas Kota Rantauprapat with the involvement of parents and healthcare providers as participants. The experimental results showed that all three algorithms performed well in terms of accuracy, though with varying error rates. Naïve Bayes achieved relatively high accuracy but had a higher false positive rate compared to C4.5 and K-NN. C4.5 provided more stable results and was easier to interpret due to its decision tree structure. Meanwhile, K-NN performed better with data that had irregular distribution. This outreach is expected to assist both the community and healthcare providers in early detection of speech delay in children, providing a more efficient and affordable means for early intervention, which ultimately leads to better outcomes for children with speech delay.

Indonesian EFL senior high school students. Traditional EFL instruction often emphasizes lower-order cognitive skills, limiting students' ability to analyze, evaluate, and create in English. This research explored student experiences with PBL and its impact on HOTS development. Semi-structured interviews were conducted with five 11th-grade students participating in environmental-themed PBL activities. Thematic analysis identified patterns in student experiences and perceptions. Findings reveal that students perceive PBL as significantly more engaging than traditional instruction, fostering enhanced motivation, deeper understanding, and collaborative competencies. Students demonstrated active engagement in higher-order cognitive processes through research activities, critical discussions, and creative project development. Collaborative dimensions particularly enhanced analytical and evaluative thinking as students examined diverse perspectives. Implementation challenges emerged, including time management difficulties, group dynamics issues, resource limitations, and presentation anxiety. These challenges highlight PBL's complexity and the need for comprehensive support systems. The study concludes that while PBL effectively promotes HOTS development in EFL contexts, successful implementation requires systematic support, including project management instruction, collaborative skills development, adequate technological resources, and continuous professional development for educators.  

A high-sodium and low-potassium consumption pattern can increase the risk of hypertension. Excess sodium can cause fluid retention and increase blood volume, while potassium plays a role in regulating fluid balance and blood pressure. This study aims to determine the relationship between high-sodium and high-potassium consumption patterns and the incidence of hypertension at the City Community Health Center (UPT Puskesmas) in Bantaeng Regency. The research method used was quantitative analytic with a cross-sectional study approach. The study population was all 278 patients visiting the City Community Health Center (UPT Puskesmas) in Bantaeng Regency. The sample size was 74 residents of the community at the City Community Health Center (UPT Puskesmas). Purposive sampling was used. The research instrument used was a questionnaire, which was distributed to respondents. The Food Frequency Questionnaire (FFQ) was used for sodium and potassium consumption. The results showed a relationship between sodium consumption and the incidence of hypertension (p=0.003 meaning Ha was accepted.The results showed a relationship between potassium consumption and the incidence of hypertension (p=0.001) meaning Ha was accepted. Researchers hope that this research can be used as a support or source of information to develop knowledge in the field of community health, especially in nursing, related to sodium and potassium consumption in reducing blood pressure in hypertension patients.

This study discusses the optimization of the allocation of productive waqf funds using MATLAB through a case study on the Waqf Board of the Islamic University of Indonesia (UII) Yogyakarta. Productive waqf has an important role in supporting socio-economic empowerment, but its management often faces challenges in determining the efficient distribution of funds. The purpose of this research is to develop a mathematical model to optimize the allocation of waqf funds in various sectors such as education, health, micro enterprises, and social programs. The research method uses a quantitative approach with optimization techniques implemented in MATLAB to simulate various fund distribution scenarios. The results of the study show that the optimization model is able to provide a more effective distribution of waqf funds compared to the actual allocation pattern, thereby increasing efficiency and impact on community welfare. Thus, the use of MATLAB has been proven to help waqf institutions in formulating accurate data-based decisions and mathematical models. In addition, this study emphasizes that the application of modern computing technology can strengthen the role of waqf as an instrument of sustainable social development. The implications of this study show that the integration of mathematical modeling with modern computing tools can be an important strategy for Islamic philanthropic institutions in maximizing the potential of productive waqf, especially in Yogyakarta. This research also contributes to the development of Islamic economic literature, offers practical recommendations for waqf managers, and shows the application of MATLAB as a tool in economic decision-making. With this approach, productive waqf is expected to provide wider and sustainable benefits for the community, as well as be an inspiration for other waqf institutions in Indonesia to adopt a similar strategy.

Liver cirrhosis is a chronic disease characterized by progressive fibrosis, altered liver architecture, and the formation of regenerative nodules. Although it develops slowly, cirrhosis often leads to serious complications such as ascites, variceal bleeding, jaundice, and hepatic encephalopathy. According to the Global Burden of Disease Study 2019, cirrhosis is among the leading causes of death worldwide, with more than 1.4 million deaths annually. In Indonesia, the prevalence of cirrhosis is reported at 0.4% (Riskesdas, 2021) and shows an increasing trend over the years. This case study aims to describe the application of comprehensive nursing care in a patient diagnosed with liver cirrhosis using the nursing process approach. The research design was a case study conducted on Mr. R, who was admitted to Dahlia Ward at RSUD dr. Soeselo, Tegal. Data collection was carried out through interviews, observations, physical examinations, and medical record reviews. The results revealed that the main nursing problems identified were ineffective peripheral perfusion, ineffective breathing pattern, and knowledge deficit. Nursing interventions provided included positioning the patient in semi-fowler, monitoring vital signs, educating the patient about low-sodium diet and fluid restriction, and collaborating in the administration of diuretics and albumin. After three days of nursing care, the evaluation indicated clinical improvement, evidenced by reduced edema, decreased shortness of breath, and increased patient understanding of his disease and treatment plan. In conclusion, nursing care with a comprehensive process approach has a significant positive impact on the condition of patients with liver cirrhosis. Nurses play an essential role in assessment, planning, implementation, evaluation, and providing health education to prevent complications and improve patients’ quality of life.

At the higher education level, students are expected to develop independence in their learning process. One crucial aspect that influences the achievement of self-directed learning is the ability to manage time effectively. This study focuses on the relationship between time management and self-regulated learning among students of the Diploma Three in Nursing Program at Abulyatama University. The research employed a quantitative approach using a correlational design and a cross-sectional method. A total of 85 participants were selected through proportional random sampling from a population of 554 students. The instruments used were the Time Management Questionnaire (TMQ) with a Cronbach's Alpha reliability of 0.910, and the Motivated Strategies for Learning Questionnaire (MSLQ) with a Cronbach's Alpha of 0.909. Data collection took place within the Diploma Three in Nursing Program at Abulyatama University from April 26 to May 9, 2025.The results showed that the majority of students had a moderate level of time management, with 63 students (74.1%), and a high level with 22 students (25.9%). Meanwhile, the level of self-regulated learning among students was moderate in 59 students (69.4%) and high in 26 students (30.6%). Analysis using the Chi-Square test revealed a significant correlation between time management and self-regulated learning, as indicated by a p-value of 0.000 (p ≤ 0.05). These findings suggest that students who are skilled in time management are more likely to possess higher self-regulated learning abilities. It is hoped that the results of this study will enhance students' understanding of the importance of time management, thereby encouraging them to adopt a more structured, focused, and sustainable self-learning pattern. Time management skills are believed to be a foundational element in strengthening self-regulated learning in students’ academic activities.

Through the Field Work Lecture (KKL) program at PT Yakult Indonesia Persada, this community service activity was carried out with the aim of providing practical experience for students related to the implementation of Human Capital Management (HCM) in the industrial world. This program not only aims to provide theoretical insight, but also introduces students to the application of important concepts in human resource management in companies. The focus of the activity covers various aspects, such as the recruitment process, training programs and career development, and the reward system implemented at PT Yakult. This activity also provides an understanding of the important role of HCM in improving company performance through effective employee management. The results of the activity show that PT Yakult has developed a continuous training pattern aimed at improving employee competencies as a whole. In addition, the company also conducts employee talent mapping that allows for a systematic career path, which provides development opportunities for each individual within the company. The benefits obtained by students from this activity are not only increased knowledge of HCM, but also strengthened analytical skills, developed professional attitudes, and preparedness to face challenges in an increasingly dynamic workplace. Therefore, this KKL program is a very important tool for building stronger synergy between universities and the industrial world, so that students can be better prepared and competent in facing the ever-growing needs of industry.

This study aims to understand the dynamics of children’s communication within families after parental infidelity in Subang Regency, with a focus on conflict, problem-solving strategies, and conformity. The research employed a qualitative approach using a case study method, with data collected through purposive sampling involving four key informants and five supporting informants. The findings indicate that post-affair conflicts often lead to children’s withdrawal from family interactions, while problem-solving efforts are not always successful in restoring trust and repairing family relationships due to unresolved emotional wounds. Children’s conformity tends to become increasingly closed and restrictive, with the family no longer functioning as a safe space to express feelings and share concerns. Parental infidelity significantly disrupts family communication, particularly in parent–child interactions, as children tend to feel insecure, lose trust, and adopt rigid or defensive communication patterns. This condition reflects a broader psychological impact in which children experience emotional distress, confusion, and difficulties in establishing meaningful relationships. Moreover, the study highlights that unresolved family communication breakdowns may contribute to long-term consequences, such as reduced self-esteem and heightened vulnerability to stress. The research underscores the importance of maintaining open, honest, and empathetic communication to support children’s emotional recovery after parental infidelity. It also recommends seeking professional assistance, such as counselors or psychologists, when families are unable to independently rebuild healthy communication patterns. This provides not only emotional relief but also preventive measures for further deterioration of family relationships.

Purchasing plays a role in ensuring the availability of food ingredients with good quality and efficient costs, managing risks, supporting product innovation, and increasing efficiency in the food procurement process, with such an important role the hotel industry continues to strive to improve purchasing capabilities and competencies in order to be better in the food procurement process. Purchasing together with its duties and sections must understand and know and organize food procurement activities with clearly coordinated concepts and planning patterns and satisfactory and responsive services in any situation faced by both fellow employees and hotel guests. This type of research is descriptive qualitative with a Phenomenological approach. In this study, an interview method was used with 4 informants who were purchasing officers and receiving at Padma Resort Legian. This study aims to determine the role of purchasing in supporting the need for food procurement for kitchen operations at Padma Resort Legian. From the interview results, it can be concluded that the procurement of food ingredients for kitchen operations at Padma Resort Legian, which includes processing purchase requests, selecting suppliers, giving instructions to suppliers and receiving food ingredients, has been carried out correctly and in accordance with the Standard Operating Procedures (SOP) at Padma Resort Legian. Supplier selection has also been carried out in accordance with the Standard Operating Procedures (SOP) at Padma Resort Legian, but purchasing must be more careful in selecting and determining suppliers to avoid inconsistent delivery of food ingredients in terms of time, quantity, and quality of the food ingredients.

Traffic violations are one of the serious problems frequently occurring in various regions, including Binjai City. Various types of violations, such as disobeying road signs and markings, incomplete vehicle documents, and violations that threaten the safety of drivers and other road users, continue to increase despite preventive and repressive efforts carried out by the authorities. This condition indicates that handling traffic violations cannot rely solely on field enforcement but also requires the support of technology capable of analyzing data more comprehensively. This study aims to predict the level of traffic violations by applying the Naïve Bayes method through data mining techniques. The dataset used consists of traffic violation records in 2023 from the Binjai City Police Department, with the main variables including violations of traffic signs and markings, document completeness, and safety-related violations. The Naïve Bayes method was selected because of its ability to perform classification with good accuracy, simplicity, and efficiency in processing large amounts of data. The implementation of this research is realized by developing a web-based application using Visual Studio Code as the development environment and MySQL as the database system. The results of this study are expected to provide structured information regarding traffic violation patterns, support authorities in making more effective decisions, and serve as an alternative solution in the prevention and handling of traffic violations in Binjai City.

Through the Field Work Lecture (KKL) program at PT Yakult Indonesia Persada, this community service activity was carried out with the aim of providing practical experience for students related to the implementation of Human Capital Management (HCM) in the industrial world. This program not only aims to provide theoretical insight, but also introduces students to the application of important concepts in human resource management in companies. The focus of the activity covers various aspects, such as the recruitment process, training programs and career development, and the reward system implemented at PT Yakult. This activity also provides an understanding of the important role of HCM in improving company performance through effective employee management. The results of the activity show that PT Yakult has developed a continuous training pattern aimed at improving employee competencies as a whole. In addition, the company also conducts employee talent mapping that allows for a systematic career path, which provides development opportunities for each individual within the company. The benefits obtained by students from this activity are not only increased knowledge of HCM, but also strengthened analytical skills, developed professional attitudes, and preparedness to face challenges in an increasingly dynamic workplace. Therefore, this KKL program is a very important tool for building stronger synergy between universities and the industrial world, so that students can be better prepared and competent in facing the ever-growing needs of industry.

Adapting to students’ learning styles is a key factor in enhancing the effectiveness of higher education, particularly in Informatics programs where learning preferences vary widely. This study aims to segment students based on their learning styles using the K-Means clustering algorithm, guided by the VARK model (Visual, Auditory, Read/Write, Kinesthetic). Data were collected from 130 Informatics students, including information on their learning preferences, and processed through normalization techniques. The optimal number of clusters was determined using the Elbow Method and Silhouette Score, and subsequent cluster interpretation was conducted. The results identified three dominant clusters, each representing distinct learning behavior patterns. These clusters were analyzed to recommend tailored instructional strategies for each group. Specifically, Visual learners were found to benefit from graphic-heavy materials, Auditory learners preferred lectures and discussions, Read/Write learners thrived on written content and detailed notes, while Kinesthetic learners responded best to hands-on activities. The findings support the development of adaptive, data-driven teaching approaches that align with the actual learning tendencies of students in Informatics. Moreover, the study demonstrates that the K-Means method is effective in systematically identifying student learning profiles, which can be used to inform instructional improvements. This personalized approach to teaching could significantly enhance learning outcomes by providing students with the most effective educational experiences tailored to their individual learning styles

Sleep is a fundamental human need that plays a crucial role in maintaining both physical and mental health. Poor sleep quality can trigger a variety of health problems, ranging from decreased concentration to an increased risk of chronic diseases. The complexity of factors influencing sleep quality—such as stress levels, heart rate, blood pressure, physical activity, and lifestyle—makes its assessment difficult through direct observation alone. Therefore, data mining approaches are increasingly utilized to identify relevant patterns in sleep-related data. This study aims to compare the performance of the C4.5 (Decision Tree) algorithm and the Naïve Bayes algorithm in predicting sleep quality using the Sleep Health and Lifestyle dataset, which contains information from 374 respondents. The research method applied is a quantitative comparative approach employing classification techniques with 10-fold cross-validation to ensure robust evaluation. Model performance is assessed using accuracy, precision, and recall metrics to provide a comprehensive understanding of the effectiveness of each algorithm. The findings indicate that the C4.5 algorithm achieves an accuracy of 96.26% and offers advantages in terms of interpretability through its decision tree visualization, enabling easier understanding of variable relationships. In contrast, the Naïve Bayes algorithm demonstrates superior predictive performance, achieving an accuracy of 98.66% along with consistently high precision and recall across nearly all classes. These results suggest that Naïve Bayes is more effective for predictive tasks involving sleep quality, while C4.5 remains highly valuable when the goal is to interpret variable interactions and decision rules. Overall, this research highlights the potential of data mining techniques in health informatics, particularly in improving the understanding and prediction of sleep quality, which in turn can contribute to better prevention and management of sleep-related health issues.

The nursing profession is a shift-based profession. Night shifts can impact sleep quality, which in turn disrupts sleep quality. Seven factors influence sleep quality, most commonly experienced by nurses. Poor sleep negatively impacts mental health. This study aims to explore the relationship between sleep quality and mental health among nurses at Sari Asih Cipondoh Hospital. This study was quantitative with a cross-sectional approach. Sampling was conducted using probability sampling and simple random sampling, with a total of 111 respondents. Univariate and bivariate analyses were performed using the Chi-Square Test, with a significance level of p<0.05. Respondent characteristics indicate that the majority were women aged 25 to 35, working in inpatient units with less than five years of work experience. Most nurses at Sari Asih Cipondoh Hospital reported poor sleep quality. The mental health of nurses at Sari Asih Cipondoh Hospital was within the normal range. There is a relationship between sleep quality and mental health of nurses at Sari Asih Cipondoh Hospital using the Chi Square Test, a P value of 0.000 (<0.05) was obtained. There is a relationship between sleep quality and mental health of nurses at Sari Asih Cipondoh Hospital using the Chi Square Test, a P value of 0.000 (<0.05). Therefore, this study can provide suggestions for nurses to be able to implement sleep pattern strategies so that sleep quality is in the good category.

Alcohol abuse is a serious issue that not only affects the individual experiencing addiction but also has profound consequences for families, particularly parents. Parents often face significant emotional, social, and psychological burdens when dealing with a child struggling with alcohol dependence. This study aims to gain an in-depth understanding of parental acceptance of children with alcohol addiction. The research employed a qualitative phenomenological approach with two parents as participants, each having a child with alcohol dependence. Data were collected through semi-structured interviews, which allowed for a rich exploration of personal experiences, and analyzed using the Interpretative Phenomenological Analysis (IPA) technique. The thematic analysis revealed six major themes: the dynamics of parent–child interactions, emotional responses of parents, changes in the child’s behavior due to addiction, the influence of parents’ past experiences, self-harming behavior as a coping mechanism, and the normalization of the child’s behavior. Findings indicate that parents’ past experiences, including trauma and parenting patterns, strongly influenced how they accepted their child’s condition. Furthermore, maladaptive coping strategies, such as self-harm, emerged as part of the acceptance process when parents faced situations beyond their control. This study underscores the importance of trauma-informed family interventions to help parents develop healthier coping mechanisms. It also highlights the need for comprehensive psychoeducational programs that involve all family members to foster resilience and mutual support. In doing so, the research contributes to the development of more effective psychological support systems for families affected by alcohol addiction.