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Lemongrass (Cymbopogon citratus) is a plant known to contain various bioactive compounds with potential antioxidant properties as well as xanthine oxidase (XO) inhibitory activity. This study aimed to evaluate the phytochemical content, antioxidant activity, and XO inhibitory potential of ethanol extracts from the leaves, stems, and their combination. Phytochemical screening revealed that all extracts contained alkaloids, flavonoids, and terpenoids, while phenolic compounds were detected only in the leaf extract and the combined leaf–stem extract. Antioxidant activity assays demonstrated that all extracts exhibited very strong antioxidant activity, with IC₅₀ values below 50 ppm, indicating a significant potential to scavenge free radicals. In the XO inhibition assay at a concentration of 200 ppm, the ethanol extract of lemongrass stems showed the highest inhibitory activity at 81.37%, followed by the leaf extract at 48.08% and the combined leaf–stem extract at 33.65%. Overall, these findings suggest that the ethanol extract of lemongrass stems is the most promising natural source of antioxidants and has the greatest ability to inhibit xanthine oxidase activity, indicating its potential development as a functional ingredient for health applications.

This study aims to analyze and synthesize research findings related to the integration of Buddhist values in the development of interactive learning media. The research employed a qualitative approach using a systematic literature review method on fifty selected articles published between 2018 and 2025. Data were collected through a structured process of identification, screening, and extraction from primary sources consisting of accredited national journals and reputable international journals. The data were analyzed using thematic and comparative synthesis techniques to identify patterns, effectiveness, and research gaps. The results show that interactive learning media based on Buddhist values can enhance students’ motivation, moral understanding, and engagement through the use of technologies such as gamification, educational animation, augmented reality, and mobile applications. The effectiveness of these media is strongly influenced by the alignment between Buddhist ethical principles, instructional design, and the cultural context of learning. Furthermore, the study reveals that the successful integration of spiritual values into digital media depends on educators’ readiness, digital literacy, and technological infrastructure support.

Objective– This article aims to comprehensively examine the main types of food crop pests and their attack patterns through a systematic literature review approach. The research focuses on the dynamics of pest attacks, changes in ecological patterns due to climate change, and advances in modern identification technology that enable more accurate early detection. This study also highlights the significance of new paradigms of pest identification based on artificial intelligence (AI), genomics, and landscape mapping in supporting food security at the regional and national levels. Design/methodology/approach– This study used the Systematic Literature Review (SLR) method for scientific publications from 2015–2025 from reputable sources such as Scopus, Web of Science, PubMed, ScienceDirect, SpringerLink, Taylor & Francis, Wiley, AGRIS, and Google Scholar. Of the 326 articles identified in the initial stage, 30 articles in English and Indonesian were selected through a screening process based on strict inclusion–exclusion criteria. All articles were then analyzed using thematic coding techniques to produce an in-depth, evidence-based synthesis. Findings– The study produced four key findings: (1) there are five dominant pests in global food crops, namely Thrips tabaci, Spodoptera exigua/frugiperda, Helicoverpa armigera, Nilaparvata lugens and Sitophilus oryzae; (2) attack patterns are strongly influenced by temperature, humidity, pesticide resistance, and monoculture; (3) modern identification technology AI, drone imagery, multispectral sensors, and DNA Barcoding have increased detection accuracy to 94–98%; and (4) community-based early warning systems accelerate field response and reduce the risk of crop failure. Practical implications– These findings provide a scientific basis for local governments, agricultural extension workers, and farmers to gradually adopt pest identification technology and strengthen integrated monitoring systems at a regional scale. Authenticity/value– This article offers a new conceptual model of “Pest Identification Pyramid – Attack Pattern – Early Warning System” that integrates pest biology, digital technology, and community response to improve national food security.

Non-communicable diseases (NCDs) are the leading causes of morbidity and mortality, particularly among older adults. Integrated Development Posts for Non-Communicable Diseases (Pos Pembinaan Terpadu Penyakit Tidak Menular / Posbindu PTM) play a crucial role in the early detection of NCD risk factors at the community level. This activity aimed to conduct NCD risk factor screening through the measurement of blood pressure, random blood glucose, total cholesterol, and uric acid levels, as well as to provide health consultations for participants of Posbindu Rosella, South Kembangan. The activity was conducted in November 2025 using a descriptive design. A total of 30 Posbindu participants were involved. Health examinations included blood pressure, random blood glucose, total cholesterol, and uric acid measurements. Data were analyzed descriptively and classified into normal and abnormal categories based on clinical guidelines. The majority of participants were female (80%), with a mean age of 60.5 ± 9.7 years. The mean systolic blood pressure was within the hypertensive range. Approximately 50% of participants had impaired glucose regulation, 60% experienced hyperuricemia, and 40% had total cholesterol levels classified as borderline or higher.  Health screening activities at Posbindu revealed a high prevalence of NCD risk factors among participants. Posbindu plays an essential role in early detection and community-based prevention of non-communicable diseases.

The paradigm of Islamic education requires the integration of Western learning theories with an Islamic perspective to create a holistic approach to education. With the rapid development of psychological theories in education, such as behaviorism, cognition, humanism, and constructivism, it is essential to examine their relevance within the context of Islamic education. This article aims to analyze the integration of these theories in Islamic learning, with a focus on their connection to key Islamic concepts such as reward-punishment (pahala-dosa), reflection (tafakkur), self-actualization, mutual assistance (ta'awun), and consultation (syura). This study uses a literature review method with a qualitative approach. Articles were gathered through Google Scholar and Publish or Perish with keywords "Behaviorism in Islamic Education" AND "Cognitive Learning in Islam" AND "Humanistic Approach in Islamic Education" AND "Constructivism in Islamic Education." Of the initial 40 articles obtained, a screening process resulted in 5 articles that met the publication criteria (2020–2025), relevance to the topic, and open access. The review results show that integrating these theories into Islamic education can enrich the learning process by linking moral, social, and spiritual elements that are essential in Islamic teachings. This literature synthesis reveals the importance of integrating psychological theories with the principles of Islamic education to create a more comprehensive and holistic educational system. Further research should develop empirical methodologies and more detailed and practical application models in Islamic education practice.

Diabetes mellitus is a metabolic disorder characterized by chronic hyperglycemia which can lead to serious complications if not properly managed. This community service activity aimed to increase public knowledge regarding diabetes mellitus and its prevention among residents of Rejomulyo Village, Jati Agung District, South Lampung. The method used was health education through lectures supported by leaflets and blood glucose screening, followed by evaluation using pre-test and post-test. A total of 25 community members participated in this activity. The results showed a significant improvement in participants’ knowledge after the educational intervention. Pre-test results indicated limited understanding of blood glucose control and dietary management, while post-test results showed increased knowledge levels in both aspects. This activity demonstrates that health education is effective in improving community awareness and knowledge regarding diabetes mellitus prevention and management. This educational program is effective in increasing the knowledge of the people of Rejomulyo Village, Jati Agung District, South Lampung Regency regarding diabetes mellitus.

Hypertension is a major global health risk that requires accurate early detection, yet conventional methods struggle with complex and imbalanced health datasets. This study aims to optimize hypertension prediction using a Logistic Regression model integrated with Borderline-SMOTE to enhance recall and provide model transparency through SHAP (Shapley Additive Explanations). The method utilizes the BRFSS dataset, applying Borderline-SMOTE to address class imbalance at the decision boundary and XAI techniques for global and local interpretation. The findings show that the model achieved an accuracy of 0.719, an AUC of 0.800, and a significantly improved recall of 0.756. SHAP analysis identified age, high cholesterol, and BMI as the most influential risk factors, while waterfall plots successfully clarified individual risk extremes, ranging from 1.72% to 99.43% probability. These results imply that the proposed approach provides a sensitive and transparent screening tool for public health practitioners, effectively balancing statistical efficiency with clinical accountability.

Hypertension is a major public health problem with an increasing prevalence and is often undetected due to its asymptomatic nature, leading to serious complications if not properly controlled. Low levels of public knowledge and poor adherence to preventive behaviors, routine health checks, and treatment remain significant challenges in hypertension management at the community level. This community service program aimed to improve public knowledge and awareness of hypertension through the implementation of the CERDIK and PATUH approaches. The program employed a community-based promotive and preventive method, including health education, blood pressure screening, and interactive discussion and counseling. The activity was conducted in RW 013, Kapuk Subdistrict, Cengkareng District, involving 60 adult and elderly participants. Knowledge levels were assessed using pre-test and post-test questionnaires and analyzed descriptively. The results demonstrated a substantial improvement in participants’ knowledge after the health education intervention, with the mean knowledge score increasing from 35 before the intervention to 80 after the intervention. In addition, the variation in knowledge levels among participants became more homogeneous following the educational activities. High community enthusiasm and active participation during the program reflected positive acceptance and engagement with the hypertension education initiative. This community service activity confirms that community-based health education using the CERDIK and PATUH approaches is effective as a promotive and preventive strategy to enhance public knowledge of hypertension. Improved knowledge is expected to encourage healthier lifestyle behaviors and greater adherence to hypertension control practices, thereby supporting sustainable and independent blood pressure management within the community.

Gestational Diabetes Mellitus (GDM) is a pregnancy-related metabolic disorder that poses health risks to both mother and fetus if not detected early, requiring accurate prediction methods for early screening and clinical decision-making. This study applies the Random Forest algorithm to detect GDM risk using clinical data from the Pima Indian Dataset. Data preprocessing included handling missing values, standardization, feature engineering, and a 70:30 train–test split. Two models were developed: a baseline and an optimized model using GridSearchCV hyperparameter tuning, validated with 5-fold cross-validation. Performance was assessed using a classification report, confusion matrix, and ROC–AUC. Results show that the optimized model outperforms the baseline, achieving 88% accuracy, an AUC of  93%, and average recall of 81%–85%. Compared to previous studies, this approach demonstrates improved predictive performance. The findings indicate that combining Random Forest with comprehensive preprocessing, feature engineering, and model optimization is effective and feasible for developing a medical decision support system for early GDM risk screening.

Quality management and Total Quality Management (TQM) have become critical issues in both education and industry because they are directly related to service quality, process efficiency, and customer satisfaction. The rise of global competition demands organizations to implement a quality system that not only focuses on technical standards, but also integrates a comprehensive quality culture. This article aims to answer the research question regarding how the application of quality standards and TQM affects the quality of organizational management and the benefits produced for both academics and practitioners. The research method uses a qualitative approach with a literature review (LR) model. Data were obtained from 20 scientific articles published between 2020 and 2025 through Google Scholar and Publish or Perish (PoP) using the keywords “quality management, standard, benefits, TQM.” After the screening process, five articles were selected for in-depth analysis. The results of the analysis reveal three main findings: (1) quality standards serve as a fundamental basis for maintaining quality consistency, (2) the implementation of TQM is proven to be flexible and applicable across various sectors, and (3) the benefits of TQM include improved service quality, process efficiency, and customer satisfaction. The conclusion of this synthesis highlights that the application of TQM is not merely a technical strategy, but also shapes a sustainable organizational culture. Future studies should further explore the integration of TQM within the context of digitalization and educational innovation.

Abortion remains a complex reproductive health issue due to the interplay of multiple interrelated determinants. This study aimed to map the factors influencing the incidence of abortion based on recent scientific evidence. A literature review design was applied by analyzing ten selected articles published within the last five years and retrieved from major scientific databases. The selection process was conducted systematically through title, abstract, and full-text screening based on predefined inclusion criteria. The extracted data included study characteristics, type of abortion, examined determinants, and key conclusions. The synthesized findings indicate that abortion incidence is shaped by a combination of biological, social, and healthcare system related factors. Clinical determinants such as maternal age, endocrine disorders, uterine anatomical abnormalities, obstetric history, anemia, and hypertension play a substantial role in spontaneous and recurrent miscarriage. In contrast, structural factors including income level, contraceptive access, and legal regulations predominantly influence induced abortion. The discussion highlights that abortion should not be viewed as an isolated clinical event, but rather as the cumulative outcome of risks operating across multiple levels of influence. In conclusion, abortion represents a multifactorial phenomenon that requires comprehensive prevention strategies extending beyond medical interventions alone. These strategies should also address healthcare accessibility and broader social conditions. This review contributes to a deeper understanding of the complexity of abortion determinants and provides an evidence-based reference for developing more effective preventive approaches in the future.

Manual quality assessment of Platelet Concentrate (TC) is highly subjective and inconsistent, necessitating an objective, automated classification system. This study aims to develop a computationally efficient, low-cost model for TC quality classification using Histogram Features extracted from grayscale images combined with the K-Nearest Neighbor (KNN) algorithm. The methodology employed critical preprocessing steps, including StandardScaler for normalization and SMOTE for balancing the training data, followed by optimization across K=1 to K=30. The optimal model achieved a maximum accuracy of 69.23% at K=6, with an F1-Score of 71.43%, confirming robust performance on the imbalanced testing set. The results validate the effectiveness of the Histogram-KNN approach as a consistent and reliable decision support system for rapid TC quality screening in resource-limited settings.

Early childhood is a critical period for growth and development, characterized by rapid changes in neurological, motor, sensory, and emotional systems. Stimulation during this stage plays a vital role, and non-pharmacological interventions such as massage and aromatherapy may enhance developmental outcomes. This quasi-experimental study employed a pretest–posttest control group design to evaluate the effectiveness of infant massage combined with aromatherapy. Twenty infants aged 3–12 months who met inclusion and exclusion criteria were recruited and assigned to either a control group (infant massage only) or an intervention group (infant massage with aromatherapy). Growth parameters (weight, length, head circumference) and developmental outcomes were measured using the Developmental Pre-Screening Questionnaire, covering gross motor, fine motor, language, and personal-social domains. Infants in the intervention group demonstrated significantly greater improvements in body weight, body length, head circumference, and developmental scores compared to the control group. These findings indicate that the addition of aromatherapy to infant massage provides measurable benefits for both physical growth and developmental progress. Combined infant massage and aromatherapy represent effective non-pharmacological strategies for early stimulation, supporting optimal growth and developmental trajectories in infants.

Prelabor rupture of membranes (PROM) remains one of the most frequently encountered obstetric complications and continues to contribute substantially to maternal and neonatal morbidity and mortality. Numerous factors have been associated with PROM; however, the available evidence presents considerable variation, highlighting the need to re-evaluate these determinants using recent empirical findings. This review aims to identify and synthesize the principal factors influencing PROM based on ten studies published within the last five years. A systematic search was conducted across PubMed, Scopus, Web of Science, and Google Scholar using predefined keywords, followed by screening through established eligibility criteria. Relevant data from each study including study design, geographical setting, assessed risk factors, and statistical outcomes such as odds ratios or relative risks  were extracted and compared. The review indicates that reproductive and urinary tract infections, inadequate nutritional status, high-risk obstetric history, and short interpregnancy intervals consistently emerge as major determinants. Social factors and the quality of antenatal services were also shown to heighten the likelihood of PROM. Overall, the findings emphasize that PROM arises from a combination of medical and non-medical influences, reinforcing the need for preventive strategies that adopt a comprehensive and integrated approach.

The quality of education is a crucial issue that continues to receive attention in facing the challenges of globalization, digitalization, and the demands of 21st century competencies. Quality improvement efforts are not only related to the quality of students' learning outcomes, but also concern the role of leadership, management effectiveness, and the implementation of a quality assurance system. This study aims to identify strategies to improve the quality of education that have been studied in the literature for the last five years (2020-2025) and answer two research questions, namely: (1) what quality strategies are predominantly discussed in the literature, and (2) how the role of leadership, strategy management, and quality assurance in supporting the quality of education. The method used is literature review with a qualitative approach. Data was obtained from Google Scholar and Publish or Perish (PoP) databases using the keyword "quality strategy" with a publication year limit of 2020–2025. The search yielded 30 articles, which then through a screening and selection process obtained 5 relevant articles for analysis. The results of the analysis show three main trends: (1) the strategic role of school principals in building a quality culture, (2) the importance of evaluation and implementation of quality management in a sustainable manner, and (3) the synergy of visionary leadership with the quality assurance system  as the basis for sustainable quality. This study concludes that the education quality strategy requires the integration of these three aspects. Going forward, further research is needed to develop integrative models across approaches and broader educational contexts.

The purpose of this study is to analyze the strategic role of the Green Human Resource Information System (Green HRIS) in bridging the transformation of human resource management with the demands of Environmental, Social, and Governance (ESG) principles, specifically examining how Green HRIS contributes to sustainable HR practices, organizational performance, and digital HR transformation. Using a Systematic Literature Review (SLR) approach, this study identifies, evaluates, and synthesizes prior research by conducting a structured search across major academic databases—Scopus, Web of Science, Springer, Elsevier, and Wiley—for publications from 2020 to 2025 that address green HRM, HR digitalization, sustainable HR practices, and ESG integration. The review process includes screening titles, abstracts, and full texts, extracting key data, and categorizing findings into environmental, social, and governance dimensions. The results demonstrate that Green HRIS strengthens ESG implementation by reducing paper usage, lowering carbon emissions, and promoting sustainable HR practices such as digital recruitment and e-learning, while also improving governance through enhanced transparency, accountability, regulatory compliance, and real-time reporting. Empirical evidence indicates that Green HRIS fosters employee engagement, organizational innovation, and the development of green competitive advantages. Practically, the study highlights how organizations, policymakers, and HR managers can utilize Green HRIS to optimize digital transformation and meet ESG requirements, thereby reinforcing legitimacy and long-term competitiveness within the green economy. This research offers originality as one of the first systematic reviews addressing Green HRIS in the ESG era, integrating theories such as the Resource-Based View, Technology Acceptance Model, and organizational sustainability theory, while also mapping trends, best practices, and gaps for future research.

Total Quality Management (TQM) in education has become an important issue in line with increasing societal demands for quality educational services and student satisfaction. Improving educational quality not only depends on the curriculum but also on the effective implementation of quality management principles in educational institutions, including secondary schools, universities, and Islamic boarding schools. This article aims to provide a literature review on the concept, implementation, and impact of quality management on customer satisfaction in the context of Islamic education, addressing two research questions: (1) How are the concepts and practices of quality management implemented? and (2) What are the drivers and barriers to successful implementation?. The method employed is a qualitative literature review, with scholarly articles retrieved from Google Scholar and Publish or Perish (PoP) using the keyword “integrated quality management in education.” The search focused on publications from 2020 to 2025, yielding 30 initial articles. After screening and selecting based on relevance and focus on customer satisfaction, 5 main articles were analyzed in depth. The review revealed three main trends: (1) implementation of integrated quality management enhances service quality and student satisfaction; (2) leadership and curriculum management are key factors for success; and (3) continuous evaluation strategies and staff competency development promote stakeholder satisfaction. In conclusion, systematic quality management in education positively impacts customer satisfaction, and further research is needed to conduct comparative studies across institutions and to explore the integration of digital quality management systems.

This study employs the Systematic Literature Review (SLR) method following the PRISMA 2020 Statement guidelines to identify the main models and indicators used in measuring the performance of Micro, Small, and Medium Enterprises (MSMEs). The literature selection process includes the stages of identification, screening, eligibility assessment, and inclusion, resulting in ten articles from reputable Q1 international journals. The analysis reveals that the most frequently used performance measurement models are integrated performance models such as the Balanced Scorecard, Performance Prism, and models based on resource capability, customer, internal process, and financial perspectives. Commonly used indicators include sales growth, profitability, market share, customer satisfaction, process flexibility, technology adoption, and business sustainability. The study concludes that although financial measures remain dominant, non-financial dimensions—such as digital capability, stakeholder engagement, and internal process effectiveness—are increasingly important for MSMEs operating in the context of global market dynamics and digital transformation. The implications of this study provide theoretical contributions to the development of MSME performance measurement frameworks and offer practical guidance for MSME managers in selecting indicators that align with the characteristics of small and medium-sized enterprises.

Cervical cancer remains a major public health problem and is one of the leading causes of cancer-related mortality among women in Indonesia. Early detection through Visual Inspection with Acetic Acid (VIA) is an effective and feasible screening method at the primary health care level. However, the coverage of VIA screening among women of reproductive age (WRA) remains low. Knowledge is considered an important predisposing factor that may influence women’s motivation to undergo VIA screening. This study aimed to analyze the association between cervical cancer knowledge and motivation to undergo VIA screening among women of reproductive age. This study employed a quantitative analytic design with a cross-sectional approach. A total of 105 women of reproductive age were recruited using consecutive sampling at the Payangan Community Health Center, Gianyar Regency, Indonesia. Data were collected using validated and reliable structured questionnaires measuring cervical cancer knowledge and motivation to undergo VIA screening. Univariate analysis was performed to describe respondent characteristics, while bivariate analysis using the chi-square test was applied to examine the association between knowledge and motivation at a significance level of 5%. The results showed that 61.9% of respondents had good knowledge of cervical cancer, while 52.4% demonstrated low motivation to undergo VIA screening. A statistically significant association was found between cervical cancer knowledge and motivation to undergo VIA screening (p = 0.043). Women with higher levels of knowledge tended to have greater motivation to participate in VIA screening. In conclusion, cervical cancer knowledge is significantly associated with motivation to undergo VIA screening among women of reproductive age. These findings suggest that strengthening health education interventions at primary health care facilities is essential to enhance motivation and increase participation in early cervical cancer detection programs.

Anemia during pregnancy is a significant maternal health issue with serious impacts on maternal and perinatal outcomes, including complications such as severe preeclampsia, postpartum hemorrhage, and low birth weight (LBW), all of which contribute to increased morbidity and mortality rates. This literature review aims to analyze the clinical impacts of pregnancy anemia, related complications, and effective management strategies based on the latest scientific evidence (2020-2024). The study examines the relationship between anemia and preeclampsia, LBW, and postpartum hemorrhage, as well as the importance of nutritional fulfillment in prevention and management. Five research articles from indexed journals were collected from the Scopus database, with inclusion criteria of studies with clear designs, focusing on pregnancy anemia, and published in Indonesian or English. The analysis results show that pregnancy anemia is a predisposing factor for preeclampsia through mechanisms such as placental hypoxia and oxidative stress. Anemia is also closely related to an increased incidence of LBW and postpartum hemorrhage, particularly due to lower hemoglobin reserves and uterine contractility issues. Adequate nutritional fulfillment is influenced by socioeconomic barriers, supplementation side effects, and lack of family support. Anemia management requires a comprehensive approach, including routine screening, prophylactic supplementation, nutritional education, and effective referral systems for complex cases. Prevention through early detection and timely intervention is crucial in reducing maternal and perinatal morbidity.