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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.

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.

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.

This article examines the influence of cell group (komsel) leadership, Christian lifestyle, and discipleship on the growth of the congregation at Christian Ministry Church (CMC) Jakarta. Employing a quantitative correlational design with 140 respondents, the study operationalizes three independent variables (X₁ = cell leadership; X₂ = lifestyle; X₃ = discipleship) against the dependent variable (Y = congregational growth). Pearson correlation analysis reveals significant correlations between cell leadership and lifestyle (r = .800, p < .01) and between cell leadership and discipleship (r = .591, p < .01), whereas direct correlations with Y were non-significant individually. Multiple regression yielded R = .752 and R² = .566, indicating that collectively the three predictors account for 56.6% of variance in congregational growth. These findings reinforce the argument that organic church growth is multidimensional and that the synergistic interaction of cell leadership, moral integrity, and discipleship constitutes a coherent growth ecosystem. Theological and pastoral implications are discussed within frameworks of contemporary missiology and cell ecclesiology.

Background: Menstruation is a natural physiological process that indicates the functional maturity of the female reproductive system. Menstrual cycle disorders can be influenced by several factors, including stress and obesity. Stress may cause hormonal changes through the hypothalamic-pituitary axis, leading to decreased luteinizing hormone (LH) levels and menstrual irregularities. Obesity can also affect ovarian function and disrupt the menstrual cycle. Objective: To determine the relationship between stress and obesity with menstrual cycle disorders among female adolescents at SMAN 1 Majene in 2026. Methods: This study used an analytical observational design with a cross-sectional approach. Data on stress levels, obesity status, and menstrual cycle disorders were collected simultaneously from 84 female respondents. The chi-square test was used to analyze the relationships among variables. Results: The analysis showed a significant relationship between stress and menstrual cycle disorders (p = .006; α < .05). A significant relationship was also found between obesity and menstrual cycle disorders (p = .002; α < .05). Many obese respondents experienced irregular menstrual cycles. Conclusion: There is a significant relationship between stress and obesity with menstrual cycle disorders among female adolescents at SMAN 1 Majene.

This study aims to analyze the effect of cutting parameters on surface roughness in the turning process of AISI 1045 steel. The investigated parameters include cutting speed, feed rate, and depth of cut. A quantitative approach was employed using multiple linear regression analysis with SPSS software. The dataset consisted of 30 simulated experimental observations with varying cutting parameter conditions. Prior to regression analysis, classical assumption tests including normality, multicollinearity, and heteroscedasticity tests were conducted to ensure the validity of the model. The results indicated that all assumptions were satisfied. The findings reveal that simultaneously, all independent variables have a significant effect on surface roughness with a coefficient of determination of 82.1%. Partially, Feed rate and cutting speed significantly influence surface roughness, while depth of cut does not show a significant effect. Feed rate is identified as the most dominant variable affecting surface roughness, where an increase in Feed rate leads to higher roughness values. In contrast, increasing cutting speed tends to reduce surface roughness. This study highlights the importance of controlling cutting parameters, particularly Feed rate and cutting speed, to improve machining quality. The results provide practical implications for manufacturing industries in optimizing machining parameters to achieve better surface quality and process efficiency.

The Integrated Primary Care Posyandu (ILP) program requires cadres to assume a much broader role compared to conventional Posyandu services. In the working area of Puskesmas Penusupan, ILP achievement reached only 20% in 2025, while merely 25 out of 225 cadres (11%) had received related training. This condition indicates that cadre readiness needs to be examined more comprehensively before the program can be implemented optimally. This study aimed to analyze the factors associated with the readiness of ILP Posyandu cadres using a descriptive-analytic method with a cross-sectional approach. The study involved 144 cadres selected proportionally from a population of 225 using the Slovin formula. Data were collected through structured interviews using a validated questionnaire and analyzed using univariate, bivariate (Spearman Rank), and multivariate (ordinal logistic regression) analyses. The results showed that among the eight variables examined, only skills (r = 0.171; p = 0.040) and resource availability (r = 0.225; p = 0.007) were significantly associated with cadre readiness. In the multivariate analysis, resource availability emerged as the most influential factor with an OR = 2.839 (95% CI: 1.311–6.149), indicating that cadres supported by adequate resources were 2.8 times more likely to demonstrate good readiness. In conclusion, resource availability was identified as the dominant factor associated with the readiness of ILP Posyandu cadres in the working area of Puskesmas Penusupan. Therefore, improving the availability of facilities and infrastructure, providing practice-based training, and strengthening operational support should become priority programs in the future.

Transportation plays an important role in supporting community mobility and enhancing socio-economic activities in urban areas. The increasing population growth and community activities in Sorong City have led to a higher demand for transportation modes. This study aims to identify the characteristics of transportation users in Kota Sorong and to analyze the probability of selecting different transportation modes using the Multinomial Logit (MNL) method. A quantitative approach was employed in this research. Questionnaires were distributed to 225 transportation users in Sorong City. The variables analyzed included gender, age, occupation, income, trip purpose, travel frequency, and reasons for choosing a transportation mode. The data were analyzed using multinomial logistic regression with SPSS software. The results indicate that transportation mode choice is influenced not only by socio-economic factors, but also by showed that income, trip purpose, travel frequency, and reasons for choosing the mode significantly influenced transportation mode choice, while gender, age, and occupation did not have significant effects. The probability analysis indicated that private vehicles had the highest probability of selection at 89.63%, followed by online transportation at 9.96%, and conventional motorcycle taxis at 0.41%. These findings imply that socio-economic and travel behavior factors strongly influence transportation mode preferences in Sorong City and may serve as a reference for future urban transportation planning and policy development.

The consistent decline in cucumber production in Indonesia indicates limitations in conventional cultivation systems, particularly due to land scarcity and inefficient resource management. This condition has encouraged the development of hydroponic systems as a more controlled and productive cultivation alternative. This study aims to critically analyze the key factors determining the success of hydroponic cucumber cultivation and to identify the most influential management aspects in improving yield. The method employed is a literature review, examining various recent studies related to hydroponic systems, nutrient management, growing media, and environmental factors. The results show that the advantages of hydroponics lie not only in land and water efficiency but also in the ability to precisely control growth variables. However, optimal productivity highly depends on the proper integration of nutrient management, particularly the regulation of pH, electrical conductivity (EC), and nutrient balance, as well as the control of environmental factors such as temperature, humidity, and light intensity. Inaccuracy in a single component can significantly reduce plant performance, even when other factors are optimal. Therefore, an integrated approach combining nutrient and environmental management simultaneously is essential to enhance hydroponic cucumber productivity. This study confirms that hydroponics has strong potential as a strategic solution to support sustainable agriculture amid land limitations in Indonesia.

Knee septic arthritis is an orthopedic emergency that requires prompt and appropriate management to prevent permanent joint damage and systemic complications. Inflammatory markers such as erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) are commonly used for diagnosis and monitoring of treatment response; however, their prognostic value after surgical debridement remains variable. This systematic review aimed to evaluate the role of ESR, CRP, and platelet count as prognostic indicators following irrigation and/or surgical debridement in patients with knee septic arthritis. A literature search was conducted in January using PubMed, Google Scholar, ScienceDirect, Wiley Online Library, SpringerLink, and Semantic Scholar, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Study quality was assessed using the National Heart, Lung, and Blood Institute (NHLBI) tools. Fifteen studies meeting the inclusion criteria were qualitatively analyzed. The findings indicate that elevated preoperative CRP levels and delayed postoperative CRP reduction are associated with unfavorable clinical outcomes, including failure of infection eradication and the need for repeat debridement. Although ESR is consistently elevated during the acute phase, its slower decline limits its short-term prognostic utility. Platelet count may increase as part of the systemic inflammatory response but shows inconsistent prognostic value.

According to the Regulation of the Minister of ATR/BPN of the Republic of Indonesia No. 14 of 2022 concerning the Provision and Utilization of Green Open Space, an area must have at least 30% Green Open Space of its total area with details of 20% as Public Green Open Space and 10% as Private Green Open Space. The availability of Public Green Open Space in Pangkalpinang City is ± 1,486 ha or ± 14% of the total area, less than 6% of the applicable provisions. The purpose of writing this scientific article is to determine the potential distribution of Public Green Open Space in Pangkalpinang City as an effort to fulfill the availability of Green Open Space in the area. The variables or data used are open land by considering residential / non-residential areas, building density, distance from roads and distance from rivers, as well as land ownership or control status, content in the Spatial Plan, and Green Open Space typology. This study uses overlay analysis techniques to determine the distribution of potential Public Green Open Space in the Pangkalpinang Region. The results of the study indicate that there is still a distribution of potential land that can be developed into public green open space including green open space areas/zones in the form of road borders and other areas/zones in the form of areas that provide protection to the area below, spring borders, underpasses, beaches, and rivers. The distribution of potential public green open space can be used as a consideration in fulfilling the availability of public green open space in the Pangkalpinang area of ​​20% of its area. The fulfillment of Public Green Open Space can provide ecological and social functions for the surrounding environment.

Golf participation has increasingly become a lifestyle-oriented recreational activity that combines physical exercise, social interaction, and personal identity. However, participation decisions are not only shaped by individual interest, but also by demographic readiness, psychographic orientation, digital promotional exposure, and psychological commitment to the sport. This study aims to examine the influence of demographic factors, psychographic factors, and digital promotion on golf participation decisions in Bandar Lampung, with sport commitment as a mediating variable. A quantitative survey approach was employed using purposive sampling. Data were collected from 287 golf participants through a structured questionnaire measured with a five-point Likert scale. The data were analyzed using multiple linear regression and Sobel mediation testing. The findings show that demographic factors, psychographic factors, digital promotion, and sport commitment have positive and significant effects on golf participation decisions. Sport commitment was found to be the strongest predictor and significantly mediated the relationship between demographic factors, psychographic factors, digital promotion, and golf participation decisions. These results indicate that golf participation is influenced not only by access, lifestyle, and digital promotion, but also by the level of commitment developed by participants. This study contributes to sport marketing literature by integrating individual, psychological, and digital factors into one empirical model of golf participation behavior.

This study aims to examine the influence of principal leadership and school culture on teacher discipline in public junior high schools (SMP Negeri) in Sembawa District, Banyuasin Regency. Teacher discipline is an important factor in supporting the effectiveness of the learning process and achieving educational goals. Therefore, understanding the factors that contribute to teacher discipline is essential for improving school performance. This study employed a quantitative research method with a purposive sampling technique. Data were collected through the distribution of questionnaires consisting of 66 statement items measured using a five-point Likert scale. The collected data were analyzed using statistical techniques to determine both partial and simultaneous effects of the independent variables on teacher discipline. The results indicate that principal leadership has a positive and significant partial effect on teacher discipline, as evidenced by a t-value of 5.127, which is greater than the t-table value of 1.9809. School culture also has a positive and significant partial effect on teacher discipline, with a t-value of 7.244 exceeding the t-table value of 1.9809. Furthermore, principal leadership and school culture simultaneously have a positive and significant effect on teacher discipline, as indicated by an F-value of 34.152, which is greater than the F-table value of 3.07. These findings suggest that strengthening principal leadership and fostering a positive school culture can significantly improve teacher discipline.

Given the important objectives that banks strive to achieve through financial stability and their role in ensuring its continuity and ability to face various economic challenges, many have expanded their policies beyond their traditional functions by adopting a range of additional practices and activities that contribute to strengthening their developmental role in society. Among the most prominent of these practices are corporate social responsibility (CSR) activities, which have become a crucial aspect of the work of contemporary financial institutions. In this context, this research highlights CSR practices in banks. It relied on a sample of nine Iraqi banks listed on the Iraq Stock Exchange, which are characterized by their continued banking operations and regular publication of their annual financial reports. The research period was set from 2014 to 2023, and included a set of statistical tests that incorporated a number of financial determinants as control variables to determine their contribution to enhancing the impact of CSR when included alongside it, and to define the nature of the relationship between the research variables. We have reached a number of conclusions, most notably that when regulatory variables are included in the analysis model, this effect becomes statistically insignificant, which indicates that banks’ interest in internal financial factors still outweighs their interest in social aspects.

Odot grass (Pennisetum purpureum cv. Mott) is an important ruminant forage because of its high palatability, adaptability to tropical environments, and potential for high biomass production. This study aimed to evaluate the effect of solid organic fertilizer on the growth and production of odot grass as a basis for developing productive and sustainable forage cultivation. The experiment was conducted in Pangi Village, Dulupi District, Boalemo Regency, from February to March 2026 using a completely randomized design with five treatments and three replications. The treatments consisted of P0 without solid organic fertilizer, P1 at 10 t/ha, P2 at 20 t/ha, P3 at 30 t/ha, and P4 at 40 t/ha. Observed variables included plant height, leaf number, tiller number, and fresh weight production. Data were analyzed using analysis of variance followed by Duncan’s multiple range test at the 5% significance level. The results showed that P4 produced the best response for all measured parameters. The highest plant height was 77.83 ± 43.80 cm, with 18.83 ± 3.67 leaves, 2.42 ± 1.38 tillers, and fresh weight production of 52.33 ± 10.12 t/ha. These improvements indicate that 40 t/ha solid organic fertilizer enhanced nutrient availability and supported biomass formation. Solid organic fertilizer is therefore a promising locally based cultivation input for improving ruminant forage productivity.

This study aims to examine the influence of price and electronic word of mouth (e-WOM) on purchase decisions among Generation Z consumers in Campaka Subdistrict, Bandung City, with a specific focus on the TikTok Shop platform. This research employs a quantitative approach using a survey method by distributing questionnaires to Generation Z consumers in Campaka Subdistrict, Bandung City, with a total of 98 respondents to collect the data. The results of the study indicate that both price and electronic word of mouth have a significant positive effect on purchase decisions among Generation Z consumers in Campaka Subdistrict, Bandung City. Price is generally perceived as good, although aspects related to price suitability based on income levels and purchasing power still show some weaknesses. Similarly, e-WOM activity is considered positive; however, there are still relatively weak aspects regarding the diversity of consumer reviews, as not all respondents actively pay attention to the variation of opinions in reviews. The findings also reveal a significant influence of these variables, where the effect of price on purchase decisions reaches 35.4%, while electronic word of mouth contributes 29.5%, and the combined effect of price and electronic word of mouth on purchase decisions is 64.9%. This study concludes that improvements in price perception and e-WOM can enhance purchase decisions.

The development of the digital economy has driven increased customer interaction through online chat services, making customer satisfaction a key factor in business success. Response speed and chat service quality are two important aspects in shaping the customer experience, but previous research has tended to examine them separately. This study aims to analyze the influence of online chat services and response speed on customer satisfaction partially and simultaneously. The method used is a qualitative approach with a literature review of 12 scientific articles from 2020–2025 obtained from academic databases such as Google Scholar and SINTA. The analysis technique used is descriptive-critical through the identification, comparison, and synthesis of previous research findings. The results show that online chat services have a positive effect on customer satisfaction, primarily through interaction quality such as information accuracy, ease of use, and problem-solving ability. Response speed has also proven to be an important determinant, where a fast response significantly increases customer satisfaction. However, speed without quality has the potential to decrease satisfaction. The discussion shows that the two variables have a complementary and inseparable relationship. Online chat services function as a medium for interaction, while response speed is a quality attribute that determines the effectiveness of the service. Therefore, the integration of both in one model is the main contribution of this research in filling the literature gap, especially in the context of e-commerce in Indonesia.

Nurse workload is the total number or volume of tasks that must be completed by nurses during their professional practice in hospitals, including both physical and mental responsibilities in providing nursing care to patients. Meanwhile, nurse burnout is a condition of emotional and mental fatigue experienced by nurses due to prolonged work pressure and the high intensity of emotional demands in the hospital environment. However, workload problems are still commonly found in hospitals, with one of the main contributing factors being work stress caused by excessive job demands and continuous pressure during work activities. The population in this study were outpatient, inpatient and emergency nurses at Ibnu Sina Islamic Hospital, Bukittinggi in 2025 This study used a quantitative method with a cross-sectional approach, analyzing the relationship between one variable and another. This study had 130 samples consisting of outpatient nurses, inpatient nurses, and emergency room nurses. Sampling was carried out using a total sampling technique. The results of this study indicate a significant relationship between workload and burnout at a significance level of 0.00 (≤ 0.05). There is a significant relationship between workload and nurse fatigue at Ibnu Sina Islamic Hospital Bukittinggi in 2025.

Quantitative analysis based on multiple linear regression was applied in this study to test the hypothesis regarding the influence of Employee Competence and Organizational Culture variables on the Quality of Public Services in the Regional Secretariat of Gorontalo City. Through the involvement of sample data from 47 respondents, a partial analysis portrait shows that the Employee Competence dimension contributes positively and significantly to escalating service quality with a share of 31.40%. On the other hand, the Organizational Culture component also recorded a significant positive impact with an influence of 47.30%. In aggregate (simultaneous), the combination of apparatus competence and strengthening institutional culture triggers a significant acceleration of public service quality with a determination value of 78.70%. The proportion of the remaining variance in the goodness of fit of the model is influenced by variables outside the scope of this research. Based on this basis, efforts to increase employee expertise capacity and improve organizational values ​​​​are crucial instruments for optimizing public service standardization.

This study aims to examine the role of customer trust as a mediating variable in the relationship between digital marketing strategies and consumer behavior. As digital marketing evolves, companies are required not only to create engaging content but also to build strong trust to influence purchase intention, loyalty, and customer engagement. This research employs a systematic literature review (SLR) following PRISMA guidelines, selecting 52 empirical articles from reputable international databases such as Scopus, Web of Science, EBSCOhost, and ScienceDirect, published between 2015 and 2026. The analysis involved thematic and descriptive synthesis to assess the strength of digital marketing’s impact on customer trust and consumer behavior outcomes. The results indicate that digital marketing has a significant positive effect on customer trust formation (β=0.652; p<0.001). Customer trust functions as a partial mediator that strengthens the impact of digital marketing on purchase intention, loyalty, and engagement. The direct effect of digital marketing on consumer behavior is weaker when trust is not optimally established. These findings emphasize that effective digital marketing strategies must focus on transparency, security, credibility, and personalization to maximize consumer behavior outcomes. Practically, this study provides important implications for companies and digital marketing practitioners, highlighting that successful campaigns rely not only on content and visibility but also on the ability to build customer trust. The study also opens avenues for future research to examine more specific trust dimensions, including platform integrity, information quality, and social proof, within increasingly complex digital marketing contexts.