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Type 2 diabetes mellitus is a chronic metabolic disease characterized by hyperglycemia due to impaired insulin secretion, insulin resistance, or a combination of both. HbA1c levels are used as an indicator of long-term glycemic control in patients with type 2 diabetes mellitus. Insulin therapy is one of the treatment options given to help achieve glycemic control targets. The purpose of this study was to determine the difference in HbA1c levels of type 2 diabetes mellitus patients with insulin and non-insulin therapy at PKU Muhammadiyah Gamping Hospital. This research method used a descriptive study with a cross-sectional approach. The subjects in this study were 80 type 2 diabetes mellitus patients who had used insulin and non-insulin therapy for less than 1 year, using Purposive Sampling techniques and data analysis using SPSS with Chi-Square and Mann-Whitney tests. This study has obtained ethical approval from PKU Muhammadiyah Gamping Hospital. This study shows that the characteristics of gender and age of type 2 DM patients with insulin and non-insulin therapy are dominated by women at 60.0% and 43.3%, while elderly patients at 60.0% and 53.3%. Of the 50 patients using insulin, 45 patients (90.0%) had controlled HbA1c and 5 patients (10.0%) were uncontrolled. Meanwhile, all non-insulin patients, 30 patients (100%), had uncontrolled HbA1c. Based on this study, there is a significant difference in HbA1c levels between type 2 diabetes mellitus patients with insulin and non-insulin therapy with a p-value <0.001. Patients using insulin therapy tend to have better glycemic control than patients not using insulin therapy.

Diabetes mellitus is a chronic metabolic disease characterized by elevated blood glucose levels due to impaired insulin secretion, insulin action, or both. Uncontrolled diabetes can lead to various complications and decreased quality of life. Moringa oleifera leaves contain bioactive compounds, including flavonoids, vitamins A, C, and E, as well as selenium, which possess antioxidant properties and are believed to help reduce blood glucose levels. This study aims to determine the effect of Moringa leaf decoction on reducing blood glucose levels in patients with diabetes mellitus in Padaleu Village, Kambu District, Kendari City. The study employs a quantitative pre-experimental design using a one-group pretest-posttest approach. The population consists of 35 diabetes mellitus patients, with 17 respondents selected through purposive sampling. Blood glucose levels are measured before and after the administration of Moringa leaf decoction using a glucometer and observation sheets. Respondents receive 200 ml of Moringa leaf decoction daily for five consecutive days. Data analysis is conducted using paired statistical tests to determine differences in blood glucose levels before and after the intervention. The findings of this study are expected to provide scientific evidence regarding the effectiveness of Moringa leaf decoction as a non-pharmacological therapy for controlling blood glucose levels among diabetes mellitus patients. Furthermore, the results may contribute to nursing science development and serve as a reference for healthcare providers and future researchers in implementing complementary therapies for diabetes management.

Type 2 diabetes mellitus is a chronic metabolic disease characterized by hyperglycemia due to impaired insulin secretion, insulin resistance, or a combination of both. HbA1c levels are used as an indicator of long-term glycemic control in patients with type 2 diabetes mellitus. Insulin therapy is one of the treatment options given to help achieve glycemic control targets. The purpose of this study was to determine the difference in HbA1c levels of type 2 diabetes mellitus patients with insulin and non-insulin therapy at PKU Muhammadiyah Gamping Hospital. This research method used a descriptive study with a cross-sectional approach. The subjects in this study were 80 type 2 diabetes mellitus patients who had used insulin and non-insulin therapy for less than 1 year, using Purposive Sampling techniques and data analysis using SPSS with Chi-Square and Mann-Whitney tests. This study has obtained ethical approval from PKU Muhammadiyah Gamping Hospital. This study shows that the characteristics of gender and age of type 2 DM patients with insulin and non-insulin therapy are dominated by women at 60.0% and 43.3%, while elderly patients at 60.0% and 53.3%. Of the 50 patients using insulin, 45 patients (90.0%) had controlled HbA1c and 5 patients (10.0%) were uncontrolled. Meanwhile, all non-insulin patients, 30 patients (100%), had uncontrolled HbA1c. Based on this study, there is a significant difference in HbA1c levels between type 2 diabetes mellitus patients with insulin and non-insulin therapy with a p-value <0.001. Patients using insulin therapy tend to have better glycemic control than patients not using insulin therapy.

ASTM A36 steel has relatively low hardness and corrosion resistance, making surface treatment necessary to improve its material properties. This study aims to determine the effect of temperature and holding time variations in the pack carburizing process on the hardness, corrosion rate, and microstructure of ASTM A36 steel. The pack carburizing process was carried out using coconut shell charcoal as the carburizing medium with temperature variations of 850°C, 900°C, and 950°C and holding times of 20, 40, and 60 minutes, followed by quenching in distilled water. Hardness testing was conducted using the Rockwell B scale (HRB) method, corrosion rate testing was performed according to the ASTM G31 method, and microstructural observations were carried out using Scanning Electron Microscopy (SEM). The results showed that increasing the temperature and holding time improved the hardness and corrosion resistance of ASTM A36 steel. The highest hardness value was obtained at a temperature of 950°C with a holding time of 60 minutes, reaching 114.1 HRB. Microstructural analysis revealed the formation of a martensitic phase on the specimen surface after the carburizing process.

Nutritional problems among adolescents are increasingly associated with unhealthy dietary habits and low physical activity, contributing to the rising prevalence of overweight. According to the 2023 Indonesian Health Survey, overweight prevalence among adolescents ranges from 12% to 16.2%. This study aimed to develop Zea Coffee Tab, a functional beverage made from Robusta coffee and corn silk containing bioactive compounds, including caffeine and flavonoids, which may support metabolism and body fat oxidation. An experimental method with a Completely Randomized Design (CRD) was employed. The evaluated parameters included organoleptic tests (hedonic and hedonic quality) involving 30 semi-trained panelists, proximate analysis, and identification of bioactive compounds. Data were analyzed using the Kruskal–Wallis, Mann–Whitney, One-Way ANOVA, and Duncan’s multiple range tests. Three formulations were tested: F1 (30% Robusta coffee:70% corn silk), F2 (50%:50%), and F3 (70%:30%). The findings showed that F3 was the most preferred formulation, with an acceptance score categorized as “very much liked.” The product contained energy ranging from 319.20–324.26 kcal/100 g, protein 5.12–5.34%, fat 0.48–0.58%, carbohydrates 73.85–74.51%, moisture 9.12–9.66%, ash 2.10–2.32%, caffeine 182.45–205.86 mg/100 g, and flavonoids 4.28–6.03 mg/100 g. Zea Coffee Tab has the potential to serve as a healthy functional beverage for overweight adolescents. Further studies on shelf life and clinical effectiveness are recommended to support product commercialization.

One key measure of a region's economic growth is the employment rate, as it reflects the ability of the economy to absorb labor and improve community welfare. In Jambi Province, employment opportunities are influenced by several factors, including Gross Regional Domestic Product (GRDP), population growth, and the Human Development Index (HDI). This study aims to analyze the effects of GRDP, population growth, and HDI on employment growth rates across regencies and cities in Jambi Province. The research employs a quantitative approach using panel data regression analysis covering 11 regencies and cities during the period 2017–2023. The findings indicate that GRDP growth, population growth, and HDI simultaneously influence employment levels. Partially, population growth and HDI have significant effects on employment, indicating that improvements in human development and demographic dynamics contribute to labor absorption. Meanwhile, economic growth, as measured by GRDP, has a relatively small negative effect on employment. This suggests that economic expansion does not always generate proportional employment opportunities, possibly due to structural changes and technological developments. Therefore, policies aimed at improving human capital and labor market conditions are essential to support sustainable employment growth in Jambi Province.

This study aims to examine the role of teachers in developing emotional intelligence among adolescent students at SMP Kesatrian Surakarta. Emotional intelligence is an essential aspect that supports academic achievement, social relationships, and character development. This research employed a qualitative approach using a case study method. Data were collected through in-depth interviews with 15 teachers teaching grades VII to IX, participant observations in classroom settings, and analysis of relevant school documents. The findings reveal that teachers play a strategic role in fostering students’ emotional intelligence through three primary approaches: emotional modeling by demonstrating appropriate emotional management (45%), facilitating emotion-based learning activities (30%), and evaluating students’ emotional intelligence development (25%). These roles significantly contribute to improving students’ self-awareness, self-regulation, empathy, and social skills. Supporting factors include emotional intelligence training programs provided by the local education authority and the school’s commitment to creating a supportive learning environment. However, major challenges consist of high administrative workloads among teachers (70%) and limited counseling facilities (50%). This study recommends continuous teacher training, the integration of emotional intelligence modules into lesson plans, and collaboration with school psychologists to ensure long-term monitoring and development of students’ emotional competencies. The findings contribute to the enrichment of emotional intelligence literature within the context of Indonesian secondary education.

The development of digital governance has accelerated the transformation of public financial management through e-budgeting, e-reporting, and integrated digital financial systems. However, studies discussing digital public financial management in cross-border areas remain fragmented and dispersed across disciplines. This study aims to systematically map the development of research on digital public financial management in cross-border contexts through publication trends, influential journals, active researchers, keyword patterns, countries, institutions, and research areas. This research employed a qualitative approach using a Systematic Literature Review (SLR) and bibliometric analysis based on 48 Scopus-indexed articles published between 2020 and 2026. The findings indicate that publications increased significantly after 2023, reflecting growing scholarly interest in cross-border digital finance and governance. The literature is dominated by economics and finance perspectives, while public financial governance and fiscal accountability in border areas remain underexplored. In addition, knowledge production is still concentrated in a limited number of countries and institutions, particularly in Europe. This study contributes by providing an intellectual mapping of the field and identifying opportunities for future research integrating digital governance, public financial management, and border studies.

Collaboration between classroom teachers and Islamic Religious Education (PAI) teachers constitutes an essential strategy for instilling religious moderation values in elementary schools. This study aims to: (1) describe the forms of collaboration developed between classroom teachers and PAI teachers; (2) assess the effectiveness of such collaboration in inculcating religious moderation values; (3) identify changes in students' attitudes as tangible outcomes of collaboration; and (4) analyze supporting and inhibiting factors of collaboration at SDN 3 Wanamekar. A descriptive qualitative approach was applied using field study methods. Data were gathered through in-depth interviews, participatory observation, and document review. Data analysis followed the interactive model of Miles, Huberman, and Saldana, encompassing data condensation, data display, and conclusion drawing. Data credibility was ensured through source triangulation and technique triangulation. Findings indicate that collaboration occurs in two primary forms: reactive collaboration as a spontaneous response to students' intolerant behavior, and planned collaboration involving curriculum coordination, partial co-teaching, and joint evaluation. Collaboration was assessed as sufficiently effective yet suboptimal due to time constraints and excessive administrative burdens. Positive changes in students' tolerance and inclusive attitudes were identified as concrete outcomes. Supporting factors include favorable interpersonal communication, principal support, and moderation value integration in the Merdeka Curriculum. Main inhibiting factors are time limitations, administrative burdens, shallow conceptual understanding of religious moderation, and the absence of a standardized collaboration model. The study recommends establishing structured collaboration schedules and religious moderation training programs for all teachers.

Kampung Batik Okra, located in Kranggan Urban Village, Bubutan District, Surabaya City, represents a community-based creative economy initiative officially inaugurated on 28 December 2022 by the Surabaya City Government. This study aims to analyze the facilitating role of the urban village administration in strengthening the creative economic capacity of residents through the batik industry, as well as to identify supporting and inhibiting factors for community empowerment in Kampung Batik Okra. A descriptive qualitative approach was employed, with data collected through in-depth interviews, participatory observation, and document analysis. Informants were purposively selected, encompassing village government officials, batik group administrators, artisans, and academic facilitators. The findings reveal that the urban village administration performs three principal facilitative roles: (1) facilitation of training and skill enhancement; (2) facilitation of market access and promotion; and (3) facilitation of multi-stakeholder partnerships. These roles contribute significantly to the strengthening of residents’ creative economic capacity, as evidenced by an increase in active artisans, product diversification, and expanded marketing networks. Nevertheless, limited human resource capacity within the village administration, inconsistent community participation, and restricted access to capital remain structural barriers requiring more systemic policy interventions. This research offers a conceptual framework of empowerment-based facilitating roles for urban villages, which may serve as a reference for developing creative economy villages in Indonesian urban areas.

Stunting is a multifactorial public health problem influenced by various risk factors that may emerge during the prenatal period. Early identification of stunting risk during pregnancy is important to support preventive interventions. This study aimed to develop a stunting risk prediction model based on maternal prenatal factors using the Random Forest algorithm. Secondary data from 172 pregnant women, consisting of 83 stunting cases and 89 non-stunting cases, were analyzed. The predictor variables included maternal age during pregnancy, height, hemoglobin level, mid-upper arm circumference (MUAC), smoking history, hypertension, asthma, and diabetes mellitus. The research stages consisted of data preprocessing, model training using Stratified 5-Fold Cross Validation, performance evaluation, external testing, and feature importance analysis. Internal evaluation results showed an accuracy of 60%, precision of 60.6%, recall of 57.3%, F1-score of 58.9%, and AUC of 0.6688. External testing yielded an accuracy of 70% and an AUC of 0.6167. Feature importance analysis identified maternal age during pregnancy as the most influential variable in the prediction process. The findings indicate that maternal prenatal factors have potential for early stunting risk identification, although the predictive performance remains moderate. This approach may serve as a foundation for developing early screening tools to support targeted interventions among high-risk pregnancies.

Evacuation planning in spatial networks requires the identification of critical nodes that maintain connectivity, accessibility, and flow distribution during emergency situations. Existing approaches often rely on individual centrality measures, which capture only a single structural dimension of node importance and may therefore produce incomplete or biased prioritization. To address this limitation, this study proposes a Composite Centrality Framework for identifying critical nodes in meso-scale spatial networks with semi-structured connectivity. The network is modeled as a weighted undirected graph, and Degree, Betweenness, and Closeness Centrality are integrated into a unified composite index to capture complementary structural roles. The framework is implemented in MATLAB and evaluated using a real-world campus spatial network consisting of 30 nodes and a synthetic network comprising 16 nodes with comparable structural characteristics. The results reveal a highly uneven distribution of node importance, with a small set of structurally dominant nodes consistently identified across both networks. In the campus network, node P1 achieves the highest composite centrality score (0.2195) and ranks first across the individual centrality measures, indicating its dominant role in maintaining network connectivity, accessibility, and flow distribution. Quantitative evaluation demonstrates strong agreement between the composite ranking and the individual measures, with Spearman rank correlation coefficients of 0.94, 0.89, and 0.91 for Degree, Betweenness, and Closeness Centrality, respectively. However, only one node (P1) appears simultaneously in the top five of all rankings, highlighting the complementary nature of the individual centrality measures and supporting the need for multi-criteria integration. Sensitivity analysis across three weighting scenarios yields rank correlations exceeding 0.97, confirming ranking stability and methodological robustness. Overall, the proposed framework provides a balanced and reliable approach for identifying critical nodes and demonstrates potential applicability to evacuation planning and spatial network analysis in semi-structured environments.

The formulation of this research is how the influence of Work Attitude and Work Motivation on Employee Performance in the Legal Field of the North Sumatra Regional Police (POLDA). The purpose of this study was to determine and analyze work attitudes and work motivation towards employee performance in the legal field of the North Sumatra Regional Police (POLDA). This research is quantitative descriptive research. Data collection techniques are done through interviews, questionnaires and documentation studies. The sample in this study were 37 employees. Variables are measured with a Likert scale.  Hypothesis testing using multiple linear regression analysis through the F test and t test. The test results simultaneously show that work attitude and work motivation have a significant effect on employee performance variables in the Legal Division of the North Sumatra Regional Police (POLDA) with a coefficient of determination of 1%. Partially, work discipline has a positive and significant effect on employee performance in the Legal Division of the North Sumatra Regional Police (POLDA) with a regression coefficient value of 1%, work motivation has a positive and significant effect on employee performance in the Legal Division of the North Sumatra Regional Police (POLDA) with a regression coefficient value of 1 %. The highest regression coefficient value is work motivation.

The rapid development of information technology drives various business sectors, including the beauty and health industry, to adopt digital systems in their operational management. A Beauty Clinic, a medium-scale aesthetic clinic, faces significant operational challenges in managing human resources, finance, and digital marketing in an integrated manner. This study aims to analyze the existing manual operational system of A Beauty Clinic using the PIECES framework (Performance, Information, Economy, Control, Efficiency, Service), design and configure an Odoo ERP Community Edition implementation integrating the HR, Invoicing/Point of Sale, and Social Marketing modules, and evaluate the operational efficiency improvements achieved. The research employed a qualitative descriptive approach with a case study method and Rapid Application Development (RAD) as the system development methodology. Data was collected through direct observation and semi-structured interviews. The results show that the manual system experienced critical problems across all six PIECES dimensions. Post-implementation evaluation indicates an estimated 80% reduction in the secretary's administrative workload (from 20–25 hours to 3–5 hours per month), over 90% reduction in payroll error frequency, and an 87% reduction in transaction processing time per cashier transaction. The implementation of role-based access control and complete audit trails fundamentally addressed the security vulnerabilities identified in the as-is analysis. This study demonstrates that Odoo Community Edition is an effective, comprehensive, and cost-efficient ERP solution for small and medium-scale beauty clinics seeking to transform from fragmented manual systems to integrated, data-driven information systems.

This study aims to determine the effect of career development and compensation on employee turnover intention at PT X  Merak–Cilegon. The phenomenon of high turnover intention among employees at the Operator/Clerk/Technician to Supervisor levels has highlighted the need to investigate the factors influencing employees' intentions to leave the company. Career development and compensation were selected as the independent variables because the results of the preliminary survey indicated that these factors were the most dominant determinants affecting turnover intention This study employed a quantitative research method with a survey approach. The population consisted of employees of PT X at the Operator/Clerk/Technician to Supervisor levels. The sampling technique used was proportional random sampling, resulting in a sample of 170 respondents. Data were collected through questionnaires and analyzed using multiple linear regression analysis with the assistance of SPSS version 26. The results of the study indicate that career development has a negative and significant effect on turnover intention. Compensation also has a negative and significant effect on turnover intention. Simultaneously, career development and compensation have a significant effect on employee turnover intention. These findings suggest that the better the career development opportunities provided by the company and the fairer and more adequate the compensation received by employees, the lower the level of employee turnover intention.

The development of technology in the digital era has significantly altered consumer behavior, particularly for Generation Z, who are known as digital natives. This group possesses unique characteristics, highly relying on social media to seek product information before making purchasing decisions. This study aims to analyze digital marketing management strategies through social media in enhancing brand engagement and loyalty among Generation Z consumers, as well as to identify the key determinants of its success. The research method employed is descriptive qualitative, utilizing literature review as the data collection technique across prior scientific sources. The analysis reveals that the implementation of digital marketing strategies based on visual content and short-form videos on platforms such as TikTok and Instagram is proven to be highly effective in capturing the audience's attention rapidly. In addition to content format, collaboration with highly credible influencers and the application of authentic, responsive two-way communication serve as the main pillars in building emotional proximity and trust among young consumers. Operationally, this strategy offers cost efficiency and a broader market reach. The conclusion of this study emphasizes that the optimal integration between management information systems and interactive, adaptive communication approaches toward digital trends is the main key to winning the market and sustaining the long-term loyalty of Generation Z.

The development of Artificial Intelligence (AI), particularly Large Language Models such as ChatGPT, has changed the paradigm of creative writing learning in secondary schools. However, empirical evidence regarding the relationship between the intensity of this technology utilization and the quality of students' literary works is still limited. This study aims to examine the relationship between AI utilization and the poetry writing skills of grade XI students at Karya Budi Putussibau Senior High School. The method used was a quantitative correlational method with a sample of N = 27 students selected through a random sampling technique. Data were collected using an AI utilization questionnaire (30 valid and reliable statements, (α= 0.975) and a poetry writing test assessed with an analytical rubric. The results of descriptive statistical analysis showed that the level of AI utilization was in the high category (M =    3.70) and students' poetry writing skills were in the good category (M =  78.41). The Pearson Product Moment correlation test showed a very strong and significant positive relationship between the two variables (r = 0.978; p < 0.01). These findings confirm that proper AI integration acts as a creative catalyst that helps students explore diction and imagery structure in the poetry writing process.

Gravity measurements in the Dieng geothermal area at regional and wide scales are still limited. GGMplus data provides large-scale gravity information that can be used for subsurface mapping more efficiently and at lower cost while maintaining optimal results. The GGMplus gravity acceleration data is processed into complete Bouguer anomalies, then separated using upward continuation to obtain regional and local anomalies. Both anomalies are further analyzed using the first horizontal derivative (FHD) and second horizontal derivative (SHD). The results are then used for 3D modeling using Grablox and Bloxer software. The Bouguer anomaly distribution ranges from approximately ‒70 to ‒230 mGal, with high anomalies located in the northeast of the study area, corresponding to geothermal manifestations in Dieng. FHD analysis indicates a regional anomaly source located 6.8 km northeast, interpreted as a magmatic zone. Local anomalies reveal an intrusion body about 2 km in size at a distance of 4 km in Mount Prau, interpreted as a heat source. The 3D model shows high-density values of 2.87 g/cm³ for regional anomalies and 2.8–2.9 g/cm³ for local anomalies, associated with ancient volcanic rocks and diorite intrusions acting as a heat source in the Sikidang–Merdada geothermal system.

Income inequality is a structural development problem that can trigger social conflict, affect long-term economic growth, and hinder the achievement of SDGs. The purpose of this study is to analyze the factors that contribute to income inequality in East Java Province by combining demographic, social, and economic factors. The data used includes panel data from 38 districts and cities in East Java Province between 2017 and 2023 period. The analysis method used is panel data regression with a fixed effect model. To measure the effect of variables on income inequality, the testing was conducted partially and simultaneosly. The individual test results show that elderly dependency and poverty have a positive and significant relationship, while the human development index and economic growth are proportional but not significantly, and the open unemployment rate is not significant negative. Simultaneously, all variables have a significant effect on income inequality of 55.67 percent, with the remaining 44.37 percent influenced by variables outside the scope of this study.

Having employees with OCB attitudes will have a positive impact on the ease of achieving organizational goals. OCB is the attitude of employees doing many things outside of their duties voluntarily. In contrast, OCB will influence each other with organizational commitment. Organizational commitment is a person's sense of comfort in being part of the organization. The growth of these two things is influenced by the leadership style, in this case, the transformational leadership style. Based on the preliminary survey results, it has been shown that OCB attitudes and organizational commitment are both influenced by leadership style. So, the researcher wants to see the effect of the three. This study uses multiple linear regression research with quantitative research and a questionnaire with a Likert scale. After the analysis had been conducted, the results were H1: Transformational Leadership had a significant effect on Organizational Citizenship Behavior (OCB) in X Hospital nurses, H2: Transformational Leadership has a substantial impact on organizational commitment in X Hospital nurses, and H3: Organizational Commitment had a significant effect on Organizational Citizenship Behavior (OCB) on nurses at Hospital X.