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Background: The Maternal and Child Health (MCH) Book plays an essential role in enhancing pregnant women's knowledge of pregnancy health and labor preparation. However, its utilization remains suboptimal, which may affect a mother's readiness for childbirth. Objective: This study aims to analyze the relationship between pregnant women's knowledge of the MCH Book and their birth preparedness at the Mamajang Health Center in Makassar in 2025. Method: This research employs a quantitative design using purposive sampling with 86 pregnant women as respondents. Data were collected using a knowledge questionnaire about the MCH Book and a birth preparedness questionnaire. Data analysis was conducted using the Chi-Square statistical test. Results: The majority of pregnant women demonstrated good knowledge of the MCH Book (75.6%) and were categorized as prepared for childbirth (70.9%). Statistical testing indicated a significant relationship between pregnant women's knowledge of the MCH Book and their birth preparedness (p = 0.001). Conclusion: There is a significant relationship between pregnant women's knowledge of the MCH Book and their birth preparedness at the Mamajang Health Center in Makassar. Health workers are expected to enhance education and optimization of MCH Book utilization to support birth preparedness.

Personal hygiene is an essential factor in maintaining the health and quality of life of the elderly, as aging is often accompanied by a decline in physical strength, mobility, and cognitive function that can reduce the ability to maintain personal cleanliness independently. Limited understanding of the importance of personal hygiene may increase the risk of infections, skin disorders, and other health complications, making education and awareness crucial for promoting better hygiene behavior. This study used a descriptive correlational design with a cross-sectional approach involving 204 elderly individuals residing at the Pucang Gading Elderly Social Service Home in Semarang and Wening Wardoyo Ungaran, with 135 respondents selected using a non-probability sampling technique. Data were collected using validated and reliable questionnaires measuring the level of understanding and personal hygiene practices and were analyzed using the Somers’d statistical test. The results showed that most respondents were female (60%) and aged between 70–79 years (48.9%). The level of understanding of personal hygiene among the elderly was predominantly in the moderate category (72.6%), and their personal hygiene practices were also mostly categorized as moderate (72.6%). Statistical analysis revealed a p-value of 0.000 (<0.05) with a correlation coefficient (r) of 0.472, indicating a positive and significant relationship between the level of understanding and personal hygiene practices. These findings suggest that improving knowledge through continuous education and guidance from health workers is necessary to enhance awareness, independence, and hygiene behavior among the elderly.

The Maternal Mortality Rate (MMR) is primarily caused by pregnancy complications that are actually preventable through early detection; however, maternal understanding of the Maternal and Child Health (MCH) Handbook remains very low. This community service aims to empower pregnant women at Sarfina Primary Clinic, Medan, by enhancing their MCH Handbook literacy. The implementation utilized a Community-Based Participatory Action (CBPA) approach conducted over four weeks, involving 30 pregnant women. The activity stages included a pre-test, interactive education, self-assessment simulations, and a post-test. Evaluation results indicated a significant surge in health literacy; pregnant women's knowledge in the "Good" category drastically increased from 13.3% to 86.7%, while the "Poor" knowledge category was successfully eliminated from 50% to 0%. In conclusion, this educational and simulation intervention proved highly effective in transforming pregnant women's behavior, making them proactive individuals in the early detection of pregnancy danger signs which is expected to reduce the risk of pregnancy complications and reduce maternal mortality rates.

This study aims to analyze the effectiveness of the public services of the Sorong City Education Office for the community by examining the relationships among service effectiveness, community satisfaction, service accountability, and apparatus responsiveness. The research uses a mixed-methods approach: a quantitative component involving distributing questionnaires to 30 respondents, analyzed using descriptive statistics and correlation, and a qualitative component involving in-depth interviews with five main sources, analyzed using triangulation and thematic analysis. The results of the study show that the effectiveness of public services is in the good category, with a significant relationship between service effectiveness and community satisfaction, service accountability, and responsiveness of the apparatus. Apparatus responsiveness has the strongest relationship with service effectiveness, showing the importance of officer responsiveness in improving the quality of education services. The interview findings also show that education services have improved, though further progress is needed in service speed and information transparency. The study's findings confirm the relevance of public administration theory and service quality in explaining the performance of regional education services. The research is limited in the small number of respondents and its focus on a single agency. Therefore, further research is recommended to increase the sample size, involve several public service agencies, and use a more comprehensive analytical model.

Stock monitoring is a critical phase that must be performed regularly to maintain the accuracy and efficiency of inventory management. Continuous monitoring ensures that all items remain under proper oversight, thereby making stock management processes simpler, more controlled, and highly accurate. PT XYZ operates in the general contracting sector and provides a range of services, including land transportation, crude oil rental, heavy equipment and light vehicle rental, material supply, and well maintenance services. At present, stock monitoring at PT XYZ still relies on a general-purpose application designed solely for numerical calculations. This approach leads to several limitations in the current system, most notably the lack of a login feature and the requirement to recreate reports using a separate application. Based on these problems, this research aims to design a prototype of a stock monitoring information system at PT XYZ. The system is developed using the waterfall development model and documented using use case diagrams. The main output of this study is a prototype information system that allows users to change their own password, perform CRUD operations on data entities including users, items, categories, brands, units, vehicles, suppliers, incoming goods, and outgoing goods, generate various reports related to inventory/stock at PT XYZ.

The development of artificial intelligence technology is a great opportunity for the fashion industry, especially in designers based on personalization and consumer needs. This study aims to examine Midjourney's AI technology in the design personalization process by integrating solid data and consumer style preferences. This research is expected to support the concept of mass customization in the fashion industry and increase the relevance of design to user character. This research uses a mixed method method by combining quantitative data and qualitative data. The research stages include body data collection and style preferences, prompt formulation, data-driven prompt formulation, design generation using Midjourney, design validation by experts and consumers, and integrated data analysis.The results showed that the majority of the designs produced were considered feasible in terms of construction (83%) and in accordance with the character of the consumer's body (75%). The modest and minimalist style categories received the highest personalization scores. The qualitative findings reinforce the quantitative results, showing that consumers feel the fit of the style and proportions of the design with the character of their bodies.The study concludes that Midjourney's AI integration in the fashion design process is able to effectively support design personalization, although it still requires the role of designers in technical refinement. This approach has the potential to be an innovative solution in the development of data-driven fashion design.

Wood consumption in Indonesia, which is expected to reach more than 64.84 million m³ by 2025, is putting enormous pressure on forests, as evidenced by the reduction in forest area through the clearing of 96,230 hectares of forest in 2023. To reduce dependence on wood as a building material, alternative materials with comparable physical and mechanical properties are needed. Bamboo, especially laminated bamboo, was chosen because it has high tensile strength, a short harvest time, and abundant availability. This study examines the behavior of hollow section laminated bamboo beam-column connections with a glue-in-rod-bracket system to determine the ductility of the connection under unidirectional (static) loads. An experimental method was used with the independent variables of diameter and number of bolts, while the dependent variables included the moment-rotation of the connection, stiffness, strength, and ductility. The results show that the average ductility values for 4 and 6 thread rods D6, D8, and D10 mostly meet the SNI 1729 (≥1.25) and AISC 360 (rotation >0.03 rad) standards, with classifications ranging from "partially ductile" to "fully elastic." However, the 10-diameter 6-thread rod only achieved a ductility of 1.2, thus failing to meet the SNI standard. Based on the Handbook of Structural Steel Connection Design and Details, all connections fall into the non-seismic category because their ductility values are less than 3. These findings confirm the potential of laminated bamboo as an environmentally friendly construction material, while also providing technical guidelines for the design of non-seismic beam-column connections.

Male reproductive performance serves as a foundational metric for predicting the reproductive quality traits of progeny. This study aimed to investigate the interaction between semen quality in Etawa Grade (PE) and Boer bucks and non-genetic factors, specifically age and season. The research utilised secondary data on fresh semen production collected from 2018 to 2022. Quality parameters evaluated included ejaculate volume and individual sperm motility. Data were obtained from the Central Java Artificial Insemination Center and analysed using the Statistical Analysis System On Demand for Academics to determine the interactive effects of age and season on fresh semen production. The results indicated that bucks in the younger age category tended to produce higher semen volumes compared to other age groups. In conclusion, there is a general interaction between age and season on the semen quality of PE and Boer bucks. The interaction observed in fresh semen volume and motility was significantly influenced by individual age differences and seasonal factors based on rainfall levels. Further research is warranted to investigate these interactions across additional macroscopic and microscopic parameters.

Physics learning requires students’ multirepresentational ability to understand concepts through verbal, mathematical, pictorial, or graphical forms. However, instruction at SMAN 1 Natal is still dominated by conventional methods, resulting in less active student participation and low multirepresentational skills. This study aims to determine the improvement of students’ multirepresentational ability after the implementation of the Problem Posing learning model on the topic of sound waves. The research employed a quantitative approach with a quasi-experimental design. The sample consisted of class XI MIPA 1 as the control class and class XI MIPA 2 as the experimental class. The research instrument was a multirepresentation test administered through pre-test and post-test. Data were analyzed using the Shapiro–Wilk test, the Mann–Whitney test, and the N-Gain test. The results of the normality test indicated that the data were not normally distributed; therefore, hypothesis testing was continued using the Mann–Whitney test, which yielded a significance value of 0.00 < 0.05. This result indicates a difference in the improvement of multirepresentational ability between the experimental and control classes. The N-Gain result for the experimental class was 49.40%, categorized as moderate. Thus, the implementation of the Problem Posing learning model in the experimental class resulted in an improvement that was lower than that of the control class

This study aims to determine the effectiveness of using Problem Based Learning (PBL) oriented E-LAPD to improve students' metacognitive skills on chemical equilibrium material, especially on the sub-material of factors that influence chemical equilibrium shifts. This study was conducted at SMAS Hang Tuah 4 Surabaya class XII-2 as many as 25 students. The type of research used is research and development (R&D) with a 4-D model that was tested on a limited basis using a one-group pretest-posttest design. Scoring on the pretest-posttest uses N-gain (normalized gain) which aims to determine the increase in metacognitive skills through the results of students' pretest-posttest scores. The results showed that the N-gain value for each component of metacognitive skills, namely planning skills, monitoring skills, and evaluating skills, obtained values ​​​​sequentially, namely 0.85; 0.73; and 0.74 which are included in the high category, from the assessment shows that the use of PBL oriented E-LAPD is declared effective in improving students' metacognitive skills. This is supported by the results of the Metacognitive Awareness Inventory (MAI) questionnaire, which showed a percentage of planning skills of 82.43% with very good criteria, monitoring skills of 81.86% with very good criteria, and evaluating skills of 77.67% with good criteria. These results indicate that the MAI questionnaire can support pretest-posttest data to determine the improvement of metacognitive skills in students.

This study aims to determine the level of knowledge of U16 women's national team athletes regarding injury management using the PRICES (Protect, Rest, Ice, Compression, Elevation, Support) method to improve athlete safety.. The study used a quantitative descriptive method with a cross-sectional approach. Data were collected through a Google Form questionnaire with 21 athletes as subjects. Data were classified using the Guttman scale and a dichotomous scale, then converted into a five-criteria scale. The data were processed using SPSS 22. The average score obtained was 136.81 with the lowest score being 117 and the highest score being 150. There were 8 (38.10%) subjects in the very high category, 10 (47.62%) subjects in the high category, and 3 (14.29%) subjects in the moderate category. These results indicate that the average subject's knowledge of the PRICES method is in the high or fairly good category. This indicates that most athletes have understood the basic principles of PRICES. An integrated educational program and practical simulation are needed in routine training to ensure that all athletes are able to apply the PRICES method quickly, precisely, and effectively when an injury occurs.

Compliance with taking medication is very important for pulmonary tuberculosis patients because it can ensure that the tuberculosis infection is controlled and does not spread to other people. Motivational interviewing counseling can help tuberculosis patients increase medication adherence with an empathetic and supportive approach to providing information. Through this technique, counselors can foster the patient's internal motivation to overcome obstacles that arise related to taking medication regularly. This research has gone through an ethical process with No. 000.9/002/KEPKRSUDBTG/1/2025. This type of research is quantitative, a quasi-experimental method with a one group pretest-posttest without control design. The sampling technique in this research used purposive sampling of 30 respondents. Data analysis used univariate and bivariate analysis with the Wilcoxon rank test. The research results show: The patient's level of compliance with taking TB medication before Motivational Interviewing counseling is in the medium category and the low category. The level of patient compliance in taking TB medication after Motivational Interviewing counseling has increased, namely the high category and the medium category. There is an influence of motivational interviewing counseling on medication adherence in pulmonary tuberculosis patients at Batang Regional Hospital. There is a significant difference between the results of compliance with taking TB medication before and after counseling motivational interviewing at Batang Regional Hospital.

Bullying is a form of aggressive behavior commonly experienced by adolescents and has significant impacts on both physical and mental health. Schools, as primary social environments for teenagers, often become settings where bullying occurs. Several factors contribute to this behavior, particularly peer influence, family roles, and social media use. This study aimed to analyze factors related to bullying behavior among adolescents in a junior high school, including respondent characteristics, peer influence, family roles, and social media usage, as well as their relationships with bullying behavior. This research used a quantitative approach with a cross-sectional design involving 71 eighth-grade students as respondents. Data were collected using structured questionnaires and analyzed with the Chi-Square test. The results showed significant relationships between peer factors (p=0.003), family roles (p<0.001), and social media use (p=0.001) with bullying behavior. A large proportion of respondents reported high social media usage (45.1%) and low family involvement (45.1%), while more than half (53.5%) were categorized as being at risk of engaging in bullying behavior. These findings indicate that adolescents are strongly influenced by their social environment, both offline and online. Negative peer interactions and limited family supervision can increase the likelihood of bullying behavior. In conclusion, peer factors, family roles, and social media use are significantly associated with bullying among adolescents. Therefore, collaboration between families, schools, and communities is essential through psychosocial assessments, increased family involvement, and character education programs to prevent and reduce bullying behavior.

The process of extending the International Maritime Dangerous Goods (IMDG) certificate for the Pegasus 3 Barge through SIMKAPEL at the Banten Class I KSOP Office at PT. Pasmaritim Samudera Nusantara, Cilegon Branch. The IMDG Code is intended to protect ship crews and also warn them that their vessels are carrying dangerous goods. An expired International Maritime Dangerous Goods (IMDG) certificate is a crucial step in maintaining a ship's seaworthiness, particularly for vessels transporting dangerous goods. Processing the renewal of an International Maritime Dangerous Goods (IMDG) certificate for a ship is done through the Shipping and Maritime Information System (SIMKAPEL) The Director General of Sea Transportation's system facilitates digital ship certificate renewal services. SIMKAPEL simplifies renewals and saves time and effort by requiring in-person visits to the Banten KSOP office. Service users can access application status anytime and anywhere. The method used in this research was field research namely in the form of direct observation and taking pictures based on the activities of processing ship certificate extensions through SIMKAPEL as well as library research, namely through books in the POLTEK AMI Medan library as well as online books, websites and journals related to the research object.

Criminal responsibility is constructed through the elements of homicide offences, the assessment of mens rea, accomplice liability, and sentencing rationality grounded in individual culpability. In judicial practice, however, cases involving the killing of women are frequently framed at the outset through the labels of “honour” or “intimate relationship,” leading honour killing and intimate partner femicide to be treated as interchangeable categories. This practice shifts the assessment of intent toward the perpetrator’s narrated motive and narrows accountability to the last physical actor. This research aims to formulate, first, legal criteria and evidentiary indicators for distinguishing the two categories through a staged judicial classification test, and second, to assess the implications of such classification for the construction of intent, the attribution of responsibility to non-executing actors, and sentencing rationality through disciplined reason-giving. The study employs a normative legal method with a conceptual approach, based on library research of primary and secondary legal materials. The findings demonstrate that the core deficiency lies in the absence of an operational classification device, allowing honour narratives to displace structured mens rea analysis and to obscure the causal contributions of non-executors. The article proposes working definitions and a stepwise indicator-based test—focusing on the presence of determinative social pressure or sanctioning, provable role allocation within perpetrator networks, and prior threats framed in terms of honour restoration—and links these indicators to concrete doctrinal consequences for intent, accomplice liability, and sentencing. Through this framework, judicial reasoning is redirected from label-driven interpretation toward accountability, while restraining the use of honour as a mitigating rationale and preventing femicide patterns from being concealed by reputational narratives.

The hyper-connected work era has fundamentally blurred the temporal and psychological boundaries between professional and personal spheres, triggering a productivity paradox phenomenon where increased digital connectivity is inversely proportional to long-term cognitive efficiency. Consequently, this research aims to explore deeply and comprehensively the critical roles of cognitive resilience and digital wellbeing strategies as vital preventive mechanisms against the rising risk of burnout resulting from cumulative cognitive fatigue. Employing a qualitative approach with a rigorous literature review design, this study synthesizes extensive secondary literature retrieved from accredited academic databases and global policy reports within the last five years to analyze current trends and theoretical frameworks. The in-depth analysis reveals that cognitive resilience, significantly bolstered by metacognitive digital literacy, functions as an adaptive shield against the mounting pressures of information overload and attention fragmentation. Furthermore, the findings emphatically confirm that sustainable productivity is not achieved through borderless connectivity, but rather necessitates disciplined cognitive energy management and the strict implementation of "right to disconnect" protocols. Concluding the study, it is strongly recommended that organizations integrate comprehensive digital wellbeing policies into their work culture architecture to safeguard long-term employee performance and ensure organizational sustainability amidst the challenges of the attention economy.  

Hospitals often face difficulties in determining patient treatment priorities due to limited medical resources and the uncertainty of patient conditions. Conventional prioritization methods tend to rely on subjective judgment, which can lead to inconsistent decisions and delays in treatment. This study aims to apply fuzzy logic in a decision support system to determine patient priority levels more objectively and systematically. The proposed method utilizes a fuzzy inference system that processes several criteria, including the severity of symptoms, vital signs, patient age, and waiting time. These criteria are represented as fuzzy sets and evaluated using a set of inference rules to generate priority classifications. The results indicate that the fuzzy logic–based system is able to classify patient priorities more consistently and transparently compared to manual assessment. The system provides clear priority categories that can support medical staff in making faster and more accurate decisions. The findings imply that the implementation of fuzzy logic in hospital decision support systems can improve the quality of healthcare services, enhance fairness in patient handling, and optimize the allocation of medical resources, particularly in emergency and high-demand situations.

Arrhythmias are generally classified into two groups: disorders of impulse formation and disorders of impulse conduction. Cardiac arrhythmias can also be categorized into three main types: supraventricular arrhythmias, ventricular arrhythmias, and bradyarrhythmias. One of the most commonly encountered arrhythmias in clinical practice is Atrial fibrillation. This study employed a case study method using a nursing process approach. The subjects consisted of two patients: Mrs. S, a 74-year-old female, and Mr. R, a 44-year-old male. The nursing intervention administered was antiarrhythmic therapy using intravenous digoxin. Evaluation was conducted by monitoring the patients’ heart rate and cardiac rhythm using an electrocardiogram (ECG) monitor. The results of the case studies in both patients showed that digoxin therapy produced a positive therapeutic response, as evidenced by a gradual reduction in heart rate. However, ECG monitoring revealed no significant changes in cardiac rhythm. These findings suggest that digoxin is effective for rate control, although it does not restore sinus rhythm.

Infant nutritional status is an important indicator of child health that is influenced by various factors, including maternal characteristics. Maternal education is often considered to play a role in determining infant care and feeding practices. This study aims to analyze the relationship between the mother's education level and infant nutritional status. The study uses a quantitative approach with a cross-sectional analytical observational design. The study sample consisted of 30 mothers and infants aged 0–12 months selected using purposive sampling. Maternal education level was categorized as elementary, secondary, and higher education, while infant nutritional status was determined based on anthropometric indicators according to WHO standards and the position of the Health Card (KMS). Data analysis was performed bivariately using Spearman's rho correlation test with a significance level of p < 0.05. The results of the study indicate that there is no significant relationship between the mother's level of education and the nutritional status of the infant (p = 0.575; r = −0.098). The correlation coefficient value indicates a very weak and statistically insignificant relationship. The conclusion of this study indicates that the mother's education level is not a factor directly related to the nutritional status of infants. The nutritional status of infants is likely to be more influenced by other more proximal factors, such as feeding practices, the quality and quantity of food intake, the child's health condition, and the family's environmental and socioeconomic factors.

The assessment of students’ academic performance in higher education is generally still dominated by conventional numerical approaches, which are less capable of representing qualitative and subjective variables such as classroom activeness and student participation. These approaches often result in evaluations that are not holistic and do not fully reflect students’ overall academic achievements. Therefore, this study aims to analyze the concept of fuzzy logic as a support tool for assessing students’ academic performance in higher education, with a case study of students at Universitas Asahan. The research method employs a descriptive qualitative and quantitative approach by applying Mamdani fuzzy logic. The input variables consist of exam scores, assignment scores, and classroom activeness, while the system output is the category of academic performance, namely sufficient, good, and very good. The sample data consist of ten active undergraduate students from Universitas Asahan. The data processing stages include fuzzification, the construction of fuzzy rules (rule base), fuzzy inference, and defuzzification using the centroid method. The results indicate that fuzzy logic is able to integrate quantitative and qualitative variables and accommodate uncertainty in academic assessment. The resulting evaluation is more proportional and realistic compared to conventional assessment methods based solely on average scores. Therefore, fuzzy logic can be considered an effective and flexible alternative approach to support student academic performance assessment systems in higher education.