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Asthma is a non-communicable lung disease, with symptoms such as shortness of breath, wheezing and repeated coughing. Attacks can last for only a few minutes, hours, days or up to several weeks. The therapy given in this case using Infra red aims to relax the respiratory muscles and also improve blood circulation. Chest physiotherapy includes a nebulizer which aims to deliver drugs in the form of gas that can be inhaled by the patient's respiratory tract. Postural Drainage aims to drain mucus from various segments in the lungs to the larger airways with the help of gravity. Tappotement aims to divert sputum from the lungs. Works This Scientific Writing is a case study, raising patient cases and collecting data through the physiotherapy process. The modality provided is Infra red and Chest physiotherapy. The results showed significant improvements after six therapy sessions. Cough intensity decreased from frequent to no cough, while shortness of breath reduced from moderate to none. Auscultation revealed that wheezing and ronchi sounds, initially present in both lungs, eventually disappeared. Additionally, thoracic expansion improved, and the respiratory rate, initially 32 breaths per minute, decreased to 24 breaths per minute, approaching normal levels. In conclusion the combination of Infrared therapy and Chest physiotherapy is effective in managing Bronchial Asthma, particularly in reducing sputum production, improving thoracic expansion, and normalizing breathing patterns. This therapy can serve as a supportive approach in pediatric physiotherapy for respiratory disorders caused by inflammation and mucus accumulation.

The employee recruitment system is a crucial aspect in maintaining the quality of human resources in healthcare institutions, particularly hospitals based on Islamic values. Muhammadiyah Ponorogo General Hospital, as a hospital based on Muhammadiyah principles, faces the challenge of ensuring that every employee is not only technically competent but also aligned with Islamic values ​​and culture. This study aims to describe the employee recruitment process, identify the challenges faced, and explore best practices implemented at Muhammadiyah Ponorogo General Hospital. The study used a qualitative approach with data collection through in-depth interviews with Human Resources Development (HRD) and relevant stakeholders, direct observation of the selection process, and internal document review. Data were analyzed thematically to discover patterns and deeper meanings within the recruitment process. The results show that recruitment is carried out through the stages of identifying workforce needs, administrative selection, written tests, in-depth interviews to assess technical competency and Islamic value alignment, and medical examinations. The main challenge is the limited number of candidates who meet the dual criteria of having both professional expertise and moral integrity in line with Muhammadiyah values. Furthermore, maintaining transparency and objectivity in the selection process is also a crucial concern. The findings of this study indicate that the success of the recruitment system at Muhammadiyah Ponorogo General Hospital (RSU Muhammadiyah Ponorogo) depends heavily on good coordination between HRD and management, as well as the need to strengthen the value-based selection process. This way, the hospital can produce a workforce that is not only professional but also capable of supporting the institution's vision and mission of providing superior and Islamic healthcare services.

Turnover intention is widely recognized as one of the earliest indicators of potential employee resignation, which in turn can generate considerable organizational challenges such as increased operational costs, the erosion of organizational knowledge, and declining productivity levels. While a significant body of international research has explored the antecedents of turnover intention, studies that specifically provide a narrative synthesis within the Indonesian workforce context remain scarce. Recognizing this gap, the present study seeks to identify the dominant factors that influence turnover intention in Indonesia by conducting a narrative literature review. The review focused on nine selected articles published between 2018 and 2023 in nationally indexed journals. To ensure rigor, the selection was based on predefined criteria: the articles had to employ empirical designs involving full-time employees, apply quantitative research methodologies, and explicitly examine the relationships between independent variables and turnover intention. The data extracted from the studies were analyzed thematically to identify recurring patterns and dominant themes. The analysis revealed four key factors that consistently shaped turnover intention across the reviewed literature. First, job stress was found to be a critical determinant, where prolonged work pressure and role overload significantly increased employees’ desire to leave. Second, job satisfaction emerged as a central variable, with dissatisfaction related to compensation, recognition, and career development strongly linked to turnover intention. Third, leadership style played an important role, as authoritarian or unsupportive leadership approaches heightened employees’ intention to resign. Finally, the leader’s role in fostering workplace relationships and support systems was identified as a factor influencing employee attachment and loyalty. In conclusion, this study contributes theoretically by mapping the dominant factors of turnover intention within the Indonesian context and highlights their interconnections.

This paper is motivated by the condition of the Nurul Firdaus Mosque, which has long been neglected and has minimal religious activities other than Maghrib and Isha prayers. This phenomenon reflects the decline in the mosque's role as a center of worship and social and religious activities in the community. Mosques, which should be places for fostering the community, are instead only used to a limited extent, often even locked outside of Maghrib and Isha prayer times. This study aims to explore in depth the factors causing low congregation participation and find solutions in the form of innovative collaboration between mosque administrators and the younger generation, especially Generation Z, in managing the mosque in a modern and inclusive manner. The method used is a descriptive qualitative approach with data collection techniques through in-depth interviews and documentation. Informants in this study consisted of religious leaders, community leaders, mosque administrators, mosque youth, and the general public living around the research location. The research focuses on examining social dynamics, communication patterns, and forms of participation between groups involved in mosque management. Anthony Giddens' structuration theory is used as an analytical tool to understand the relationship between structures (rules, norms, and practices of mosque management) and agents (mosque administrators and youth) in shaping social change towards more open, adaptive, and responsive mosque management to the needs of the times. The results of the study indicate that the alienation of the congregation towards the mosque is influenced by the lack of innovation in religious activities, the absence of an accommodating approach to the younger generation, and weak communication and coordination within the mosque management body itself.

Every individual hopes for a better life, but not everyone has the same opportunity to achieve it. Various life challenges, such as economic limitations, lack of access to education, health, and social support, often become barriers for some people. This condition creates social inequality that makes many individuals lose their enthusiasm and motivation in living life. Early childhood dental health is a crucial issue that requires serious attention, considering the high prevalence of dental caries which is influenced by various factors, including inadequate tooth brushing habits and excessive consumption of sweet foods. This Community Service aims to analyze the level of knowledge about dental health, tooth brushing practices in children, and patterns of sweet food consumption on the incidence of dental caries at the Yauma Pilangsari Orphanage and Dhuafa Cirebon. The Community Service method used was an observational analytic with a cross-sectional design, involving 24 early childhood participants. The results of the Community Service revealed that 62.5% of children experienced dental caries, an alarming figure. Of these, 53.1% of children exhibited improper brushing habits, while 54.7% frequently consumed sweet foods. It is important to remember that children's dental health is a shared responsibility between parents, educators, and the community. With a good understanding of the importance of maintaining dental health from an early age, as well as support from various parties, it is hoped that children can grow up with healthy and strong teeth, which will ultimately improve their overall quality of life.

This study was motivated by the phenomenon of low learning motivation among students, which is often caused by a lack of parental attention and excessive use of gadgets in daily life. The purpose of this research was to determine and analyze the influence of parenting patterns on student motivation at MI Darul Hikmah. The study employed a quantitative research design using a survey method involving 15 parents of third-grade students as respondents. Data were collected through questionnaires, interviews, observations, and documentation to obtain a comprehensive understanding of the parenting styles applied and their impact on children’s learning motivation. The findings revealed that parental involvement, guidance, and consistent discipline play a crucial role in shaping students’ motivation to learn. Statistical analysis showed that parenting patterns contributed significantly, accounting for 75% of the variation in student motivation, while the remaining 25% was influenced by other factors such as peer environment, teacher support, and internal student interests. These results emphasize the importance of harmonious communication and active participation of parents in guiding their children’s academic growth. Overall, this research highlights that effective parenting characterized by warmth, attention, and support can significantly improve students’ motivation and learning outcomes at the elementary school level.

Religious education and religious studies play a strategic role in shaping individuals who are characterful, faithful, and intellectually intelligent amidst the challenges of globalization and national development. This study aims to examine the characteristics of religious education materials, teaching patterns, and the professionalism of teachers in Islamic educational institutions in Indonesia. The research method employs library research and qualitative content analysis based on relevant literature sources. The findings show that religious education in Indonesia is systemically regulated by Peraturan Pemerintah Nomor 55 Tahun 2007, characterized by a holistic and integrative approach that combines religious values with science, technology, and contemporary culture. This education demands teachers who master not only formal teaching materials but also enrichment materials and possess high academic and social sensitivity. Teacher professionalism is a primary key to the success of this education in shaping students with noble character and the ability to adapt to changing times. The study highlights the importance of special development and training for teachers in religious education to fulfill their complex multidisciplinary roles optimally.

his study aims to explore the implementation of Internet of Things (IoT) technologies within the e-commerce supply chain using a systematic and comprehensive Systematic Literature Review (SLR) approach. By critically analysing a broad range of recent studies, it systematically identifies implementation patterns, integration barriers, and strategic opportunities that support efficiency and adaptability in digital supply chains. Findings reveal that IoT plays a pivotal role in enhancing logistics operations, inventory management accuracy, and responsiveness to dynamic market demands through real-time data monitoring. Key challenges include data security vulnerabilities, high initial investment costs, and the complexity of system interoperability. Nevertheless, the long-term benefits underscore the strategic potential of IoT as a transformative component in sustainable e-commerce supply chain development. This review contributes both theoretically and practically to policy development, technological investment strategies, and the design of adaptive IoT-based supply chain models.

Groundnut plants must be well maintained so that they can be food crops that have economic value and high fat and protein content. Many farmers still plant with the old pattern so that peanut plants are less fertile because they are affected by pests and other diseases. So with an expert system to diagnose peanut plants can help farmers or the general public in knowing the solution if experiencing problems or symptoms of this peanut plant. The application of the WP (weighted product) method can help the application become structured. From the results of the study, the expert system for diagnosing peanut plants can help many people for use as fundamental insights.

Elderly individuals are at risk of developing hypertension due to physiological changes, decreased body function due to aging, and past lifestyle factors such as salt consumption and physical activity. Furthermore, non-modifiable factors such as age, gender, and genetics contribute to the development of hypertension. The purpose of this study was to determine the factors influencing the incidence of hypertension in the elderly at Bhayangkara Hospital Tk. II, Jayapura. This was an analytical study with a cross-sectional design. Data were collected using a questionnaire. A total of 83 respondents were selected using simple accidental sampling. The data were statistically analyzed using chi-square analysis and multiple logistic regression. Based on the analysis results, it was found that factors that were not related to the incidence of hypertension in the elderly at Bhayangkara Hospital Tk. II Jayapura, namely age (p-value 1.000 > α (0.05), gender (p-value 0.356 > α (0.05) and history of hypertension (p-value 0.451 > α (0.05). Factors related to the incidence of hypertension in the elderly at Bhayangkara Hospital TK. II Jayapura are salt consumption patterns (p-value 0.020 < α (0.05), physical activity (p-value 0.001 < α (0.05) and nutritional status (p-value 0.042 < α (0.05). The most dominant variable influencing the incidence of hypertension in the elderly is physical activity (p value = 0.001 < α 0.05; OR = 4.196; CI 95% 1.258-13.996) and salt consumption patterns (p value = 0.020 < α 0.05; OR = 6.111; 95% CI 2.015-18.535). Physical activity and salt consumption patterns have a significant influence on the incidence of hypertension in the elderly.

Currently, the use of data mining technology has become essential in enhancing business management efficiency, including in the trending coffee shop industry. Data mining allows business owners to analyze sales information in depth, enabling more accurate decision-making regarding inventory management, promotions, and sales strategies. This study aims to implement the Apriori algorithm to analyze sales data at Menrabic Coffee Shop. The Apriori algorithm is used to discover association patterns or relationships between products frequently purchased together by customers, which can assist management in providing inventory that aligns with customer preferences. The research method illustrates the detailed implementation process of the Apriori algorithm, starting from sales data collection, data cleaning, programming, and analysis of the results. The implementation uses web programming languages such as HTML, CSS, MySQL, and JavaScript, while back-end logic is programmed with PHP. The results of applying this algorithm reveal the most popular sales patterns among customers, providing valuable insights for management to improve operational performance and customer satisfaction. Therefore, this study demonstrates that applying data mining with the Apriori algorithm can be an effective tool for understanding consumer behavior and supporting data-driven decision-making at Menrabic Coffee Shop. By utilizing these insights, management can optimize inventory, enhance sales strategies, and ultimately increase overall business efficiency.

This study aims to analyze land cover changes in Pariaman City in 2013, 2018, and 2024 using Landsat-8 imagery with the support of the Google Earth Engine (GEE) platform and the Classification and Regression Trees (CART) algorithm. Land cover change is a critical issue in Pariaman City, as population growth, infrastructure development, and economic activities have driven significant land conversion. The classification generated eight land cover classes representing the general condition of the area. The analysis revealed that rice fields were the dominant land cover in all three periods; however, they experienced a substantial decline, indicating land conversion, particularly into settlements and road networks. In addition, the area of mangrove forests and water bodies in coastal regions decreased, while plantation areas in the eastern and southern parts of the city increased. Conversely, river land cover remained the smallest category, with annual fluctuations. The identified change patterns included urban sprawl (expansion of settlements into suburban areas), the conversion of productive land into infrastructure, and coastal degradation due to human activities and natural factors. The accuracy assessment produced overall accuracy and a Kappa index above 80%, while validation using the Mapping Accuracy method through Google Earth showed per-class accuracy rates above 75%, categorized as very good. These findings indicate that the use of satellite imagery and the CART algorithm in GEE is effective for monitoring land cover dynamics while providing valuable insights for local governments in formulating sustainable development policies and managing coastal environments such as those in Pariaman City.

The development of automotive technology drives innovation in vehicle support components, including the continuously variable transmission (CVT) system, which plays a crucial role in transmitting engine torque and power to the wheels. One of the main elements in this system is the clutch lining and clutch housing, whose performance significantly impacts motorcycle performance. However, the standard pattern on these components is often not optimal in maximizing power delivery. Therefore, this study was conducted to analyze the effect of modifying the grooves of the clutch lining and clutch housing on engine torque in a 110 cc motorcycle. The research method used an experimental approach by varying the modification pattern on the clutch lining and clutch housing. The test motorcycle with a capacity of 110 cc was tested using a dyno test to measure torque and power at various engine speeds. Each modification variation was then compared with standard conditions to evaluate the resulting performance differences. The results showed that the pattern modifications on the clutch lining and clutch housing significantly increased torque. Several modification variations were able to significantly increase torque at medium to high speeds, thus providing better engine response and more efficient power delivery. Thus, this research contributes to the development of more optimal CVT component designs and has the potential to improve motorcycle performance, especially in the small capacity vehicle segment.  

This study examines the relationship between material mastery and draping practice outcomes among students in the Family Welfare Vocational Education (PVKK) Fashion Design Study Program at PGRI Adi Buana University, Surabaya. Draping, as a technique for making patterns directly on a mannequin or the human body, is an important course in fashion design synchronization. This technique allows students to develop creativity, understand the proportions, shapes, and volumes of fabric, and produce unique works that suit the curves of the body. This study used a quantitative approach by collecting data from 60 student respondents from the 2021 and 2022 intakes through questionnaires and documentation. The variables studied were draping material mastery (independent variable) and draping practice outcomes (dependent variable). The analysis results showed a significant and positive relationship between material mastery and draping practice outcomes. The better the material mastery, the better the students' draping practice outcomes. This emphasizes that a strong theoretical understanding is an important foundation for practical skills, and learning theory and practice must be balanced to optimally improve the quality of student work. These findings have important implications for curriculum development and learning methods in the PVKK Fashion Design Study Program. To support the achievement of optimal practical results, teaching strategies are needed that integrate theory and practice in a more interactive and applicable way. For example, the use of video tutorial-based learning media, digital draping simulations, or project-based learning can strengthen students' understanding while improving their technical skills. Furthermore, increasing the intensity of practice with direct feedback from lecturers has also proven effective in accelerating technical mastery. With a holistic and adaptive learning approach, vocational education institutions can produce graduates who are not only technically competent but also competent.

This study aims to explore expressive illocutionary acts in the film The Perks of Being a Wallflower, focusing on the types and functions that appear in the interactions between the characters. Expressive illocutionary acts, as part of pragmatic studies, play an important role in representing emotions, attitudes, and social relationships between speakers. This study was conducted to identify in detail twelve types of expressive illocutionary acts and their four accompanying functions, thereby providing a deeper understanding of the dynamics of communication in the film. This study uses a qualitative approach with documentation and observation methods of the film's dialogue. Data analysis was carried out through three stages: data reduction, data presentation, and conclusion drawing, to obtain a systematic picture of the pattern of expressive illocutionary acts. The results show that all twelve types of expressive illocutionary acts are found in the film, with the expression "thank you" as the most dominant form. This reflects the film's main theme, which emphasizes the value of friendship, emotional support, and gratitude between characters. In contrast, the expression "regret" is the least used type. 

Interpersonal communication is a crucial aspect of human life, both within the family and in the community, as it serves as a means of providing motivation, support, and positive guidance. One social issue of considerable concern is alcohol dependence among adolescents, which can negatively impact their physical, mental, and social development. This study was conducted to determine how interpersonal communication between parents and adolescents in Lalang Village, Rana Mese District, East Manggarai Regency, plays a role in reducing alcohol dependence. Furthermore, this study also examined the strategies parents use to overcome barriers to interpersonal communication in an effort to prevent alcohol consumption among adolescents. This study used a qualitative method with a descriptive approach. Data were obtained through in-depth interviews, observations, and documentation of parents and adolescents in Lalang Village. Analysis was conducted by examining the communication patterns that occur, the obstacles encountered, and their impact on adolescent behavior related to alcohol consumption. The results of the study indicate that interpersonal communication between parents and adolescents in reducing alcohol dependence is still not optimal. This is evident in the lack of time spent together between parents and adolescents, the low response of adolescents to messages delivered face-to-face, and the lack of understanding on the negative impacts of alcohol on health on both parties. Cultural factors and limited knowledge also hinder the effectiveness of interpersonal communication. In conclusion, effective interpersonal communication is essential for educating and guiding adolescents to reduce alcohol consumption. Efforts should include improving parental communication skills, strengthening family interactions, and raising public awareness of the dangers of alcohol. Educators and community leaders also play a crucial role in supporting the education process and preventing alcohol dependence among adolescents.

The development of digital technology has brought significant changes in the patterns of social interaction in society. Social media, especially TikTok, now functions not only as a means of entertainment but also as an effective medium for disseminating social, cultural, and humanitarian values. One interesting phenomenon in this context is the emergence of altruistic content, namely messages that represent caring, kindness, and selfless assistance. Content with altruistic nuances has its own appeal because it can create emotional closeness with the audience and has the potential to be used by business actors as a communication strategy to build a positive brand image. This study aims to identify and describe the forms of altruistic messages displayed in the TikTok account @mr.kingthread owned by Batik Benang Raja. The study used a descriptive qualitative approach with a content analysis method based on the altruism theory of Eisenberg and Mussen, as well as the six stages of content analysis according to Klaus Krippendorff. Data were collected from 24 videos uploaded between January 1–31, 2025, through observation and documentation techniques. Then, they were analyzed and categorized into six indicators of altruism: sharing, cooperation, helping, donating, honesty, and generosity. The results of the study show that @mr.kingthread's content consistently displays altruism through sincere, emotional, and easily accepted actions by the audience. The aspect of donating emerged as the most dominant element, followed by aspects of cooperation, helping, and sharing. The natural, authentic, and uncontrived message delivery strengthens emotional closeness with the audience and increases public trust in Batik Benang Raja's image as a brand that cares about humanitarian values. In conclusion, the altruism-based communication strategy through TikTok has proven effective in spreading humanitarian values, strengthening the company's positive image, and fostering a spirit of sharing among the audience.  

This study investigates the use of lexical hedges by male and female characters in the animated film “Tinker Bell” (2008), focusing on differences in variation and communicative functions based on gender. The analysis employs Lakoff’s theory of women’s language and Holmes' framework of language functions. A qualitative descriptive method was used, with data collected through documentation and audio-visual observation from the film’s transcript. The results also indicate that although both genders employ lexical hedges, female characters tend to demonstrate a broader range of forms and functions. The findings highlight how hedges not only reflect gendered communication styles but also contribute to character development and narrative flow within the film. This study contributes to understanding gendered communication patterns in animated media and how they reflect broader sociolinguistic dynamics.

This study analyzes Kompas.com’s news coverage of the Papua conflict and human rights issues during the 2024 Presidential Debate to examine media neutrality through Norman Fairclough’s Critical Discourse Analysis (CDA) integrated with Teun A. Van Dijk’s model. The analysis covers three dimensions: micro (text), meso (discursive practice), and macro (social practice), using a qualitative descriptive method. Data from 21 news excerpts reveal that social and political contexts are clearly represented, focusing on the strategies of the three presidential candidates in addressing human rights and conflict issues in Papua. The findings highlight the importance of realizing the Papua-related commitments made during the debate by the elected president, given the rising trend of violence and the unresolved justice issues in the region. The study demonstrates that media coverage, even by a leading news outlet such as Kompas.com, carries the potential to influence public perception regarding sensitive political and social issues. At the micro level, the language and lexical choices in the news articles often convey subtle ideological positions, including the framing of human rights violations and conflict events, which may reflect both explicit and implicit biases. At the meso level, discursive practices, including editorial decisions, headline constructions, and sourcing patterns, contribute to the shaping of narratives, highlighting certain aspects of the candidates’ statements while minimizing others. Meanwhile, at the macro level, the broader societal and political context, including historical grievances, regional tensions, and national political dynamics, provides the backdrop against which news coverage is produced and consumed, indicating the complex interplay between 

Weather and cloud cover are two fundamental atmospheric elements that are closely interconnected and play a vital role in understanding, classifying, and predicting atmospheric conditions. Accurate classification of weather conditions is essential not only for meteorological studies but also for practical applications in agriculture, aviation, transportation, and disaster management. Among the various statistical techniques available, correspondence analysis has proven to be an effective exploratory method for revealing associations among categorical variables by displaying their relationships in a two-dimensional graphical map. The primary objective of this study is to examine the relationship between different categories of weather conditions and levels of cloud cover using correspondence analysis. The data were sourced from the Kaggle platform, consisting of 13,200 observations with two key categorical variables: weather conditions (sunny, cloudy, rainy, and snowy) and cloud cover (clear, partly cloudy, cloudy, and overcast). This large dataset provides sufficient variability and reliability to capture the complex interdependence between the two variables. The findings reveal a statistically significant relationship between weather categories and cloud cover levels. The correspondence map visualization shows distinct patterns: clear weather is strongly associated with cloudless skies, while rainy and snowy weather conditions are predominantly linked to fully overcast skies. Cloudy and partly cloudy conditions occupy an intermediate position on the correspondence map, reflecting a transitional state between favorable and unfavorable weather. The first dimension of the map represents a spectrum from favorable weather conditions (sunny and clear) to adverse conditions (rainy and snowy), whereas the second dimension primarily reflects the intensity or density of cloud cover, ranging from thin to thick cloud layers. Overall, this study demonstrates the usefulness of correspondence analysis as an exploratory tool for meteorological data, offering valuable insights into the interrelation of weather and cloud cover categories.