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Due to its effect on the caliber of generations to come, iron deficiency anemia in teenage females is one of Indonesia's most pressing reproductive health concerns. Adolescents' awareness to autonomously adopt preventative actions is shaped mostly by their knowledge. The purpose of this research is to determine whether there is a correlation between the prevalence of anemia among teenage females in Boyolali Regency and their degree of education. Using a cross-sectional design, this study employs quantitative correlational analytic methods. An accidental sampling approach was used to obtain a sample size of 80 respondents from the population of seventh grade female pupils. A digital POCT device was utilized to quantify the incidence of anemia variables based on hemoglobin (Hb) levels, while a structured questionnaire instrument was employed to gather data for knowledge variables. The Chi-Square test was used to assess the bivariate data analysis. According to the univariate analysis, 62.5% of the participants (50 respondents) had a decent level of knowledge, and 73.8% of the participants (59 respondents) did not suffer from anemia (Hb > 12 g/dL). With a p-value of 0.000 (p < 0.05), the results of the bivariate test were generated. Anemia is more common among female students at MTs Al Ihsan Doglo who have a higher degree of expertise, according to this study. School districts should keep an eye on students' iron pill use and improve their nutrition education programs.

The following study aims to analyze the influence of buzzer marketing, influencer marketing, and brand trust on purchase intention of Wardah products on TikTok Shop. The background of the study is based on the increasing use of TikTok Shop as a social commerce platform and the importance of digital marketing strategies in influencing consumer purchasing intention, especially in the cosmetics industry that demands brand trust. The research method uses a quantitative approach with a questionnaire distributed to 100 respondents. Data were analyzed through validity and reliability tests, classical assumption tests, and multiple linear regression. The results indicate that all instruments are valid and reliable and the model meets classical assumptions. Partially, buzzer marketing, influencer marketing, and brand trust have a significant effect on purchase intention, with coefficients of 0.494, 0.362, and 0.264, respectively. Simultaneously, all three variables also have a significant effect. The coefficient of determination value of 0.535 indicates that the variation in purchase intention is explained by these three variables.

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.

Patient satisfaction with healthcare services remains a major concern in the delivery of healthcare. The behavior of healthcare workers, including friendliness, politeness, and communication skills, plays an important role in improving patient satisfaction. Preliminary data indicated that the number of BPJS patient visits at BLUD UPTD Puskesmas Mokoau had decreased annually, while the results of the patient satisfaction survey were still not optimal because several health programs had not achieved the targeted service standards. This study aimed to analyze the relationship between the quality of healthcare services and BPJS patient satisfaction in the working area of Puskesmas Mokoau in 2025. This research applied a quantitative method with a descriptive-analytic approach using a cross-sectional study design. The study involved 306 respondents selected through a random sampling technique, ensuring that each member of the population had an equal opportunity to be chosen as a research sample. Data were collected using questionnaires and analyzed through the Chi-Square test. The findings revealed significant relationships between facilities, procedures, interaction, and communication with BPJS patient satisfaction, with each variable obtaining a P-value of 0.000 (<0.05). Therefore, the quality of healthcare services is closely associated with the level of patient satisfaction, indicating that healthcare workers need to improve service quality effectively and professionally.

The use of digital learning media and discussion methods is increasingly important to support junior high school students' learning outcomes. Digital media, such as videos, animations, and interactive platforms, facilitate understanding of material and increase learning motivation, while discussion methods encourage active participation, critical thinking, and student reflection. This study examines the influence of the use of digital learning media and discussion methods on junior high school students to obtain a comprehensive picture of the effectiveness of both variables in improving student learning outcomes. A qualitative method with a literature review approach was used as the research method. Sources were obtained from relevant journals, articles, and books, and analyzed descriptively and qualitatively. The results found that the use of digital media and discussion methods had a positive effect on student learning outcomes. Implications emphasize the importance of adequate technological facilities and teacher training to utilize digital media and discussion methods to create enjoyable and interactive learning.

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.

This study examines the influence of interest rates and the rupiah exchange rate on the money supply in Indonesia during the 2023–2025 period. A quantitative research approach was employed using monthly secondary data obtained from Statistics Indonesia (BPS) and Bank Indonesia (BI). The data were analyzed through multiple linear regression with the assistance of SPSS software. Several statistical procedures were applied, including classical assumption tests, partial significance tests (t-tests), simultaneous significance tests (F-tests), and coefficient of determination (R²) analysis. The findings reveal that interest rates have a significant negative effect on the money supply, while the rupiah exchange rate exerts a significant positive influence. Furthermore, the simultaneous test indicates that both variables collectively have a significant impact on the money supply. The coefficient of determination shows that 85.4% of the variation in the money supply can be explained by changes in interest rates and the rupiah exchange rate. These results highlight the importance of maintaining stable interest rates and exchange rates as essential components of monetary policy aimed at regulating the money supply and preserving monetary stability in Indonesia.

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 readiness of officers to carry out Electronic Medical Records (RME) needs to be measured using the Technology Readiness Index (TRI) method, which is an index used to measure the readiness of new technology users to achieve goals in daily life and work. This research aims to determine the readiness of Electronic Medical Record (RME) users using the Technology Readiness Index (TRI) case study at Daha Husada Regional Hospital. This is a descriptive research with an evaluation study where the research subjects are the head of medical records and 3 medical records officers in the inpatient registration section at Daha Husada Regional Hospital using a total saturated sampling technique. Data collection uses interview techniques. Data presentation is presented using narrative. The results of the research show that of the 4 variables used to measure the readiness of medical record users, medical record officers at Daha Husada Regional Hospital are ready to use medical records, even though they are ready there are still difficulties experienced and feelings of insecurity when using Electronic Medical Records (RME), namely Medical records can be accessed anywhere and are not yet integrated according to the user's wishes. Therefore, Daha Husada Regional Hospital should further tighten its electronic medical record data security system.

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.

Entrepreneurship Study Programme students at Universitas Negeri Makassar's Faculty of Economics and Business had their digital literacy and relationship-building skills examined to see how they affected their entrepreneurial decision-making. Additionally, it determines if entrepreneurial drive is a factor in the relationship between these variables. Data for the study is collected quantitatively via questionnaires. The 427 students who completed the programme between 2019 and 2024 are the ones included in the study. With a 5% margin of error, 207 students were selected by proportional random sampling using the Slovin algorithm. A Google Form questionnaire was used to gather the data. After that, SmartPLS version 4 was used to analyse the data using the PLS-SEM approach. According to the findings, digital literacy significantly impacts entrepreneurial decision-making for the better. Entrepreneurial decision-making is positively and significantly impacted by the capacity to develop connections. There was a positive and statistically significant association between digital literacy and the capacity to form relationships, which in turn influenced entrepreneurial drive. There was a positive and statistically significant relationship between entrepreneurial motivation and entrepreneurial decision-making. Students' entrepreneurial decision-making is influenced by their entrepreneurial drive, which in turn is influenced by their digital literacy and relationship-building abilities.

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.

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 analyze the comparison of financial distress levels measured using the Current Ratio (CR) and the Altman Z-Score model and their relationship with stock returns in PT Charoen Pokphand Indonesia Tbk and PT Japfa Comfeed Indonesia Tbk during the period 2020–2025. The research method used is a quantitative approach with a comparative design, and the sampling technique applied is purposive sampling. Data analysis was conducted using descriptive statistics and multiple linear regression.The results indicate that there is no statistically significant difference between the two companies in terms of hal Likuidity (Current Ratio) dan Financial Distress (Altman Z-Score). Descriptively, CPIN has an average Current Ratio of 1.959 and a Z-Score of 3.700, while JPFA shows slightly lower values but remains within the safe zone. Furthermore, regression results reveal that liquidity and financial distress do not have a significant effect on stock returns. Both companies are classified in the safe zone, indicating a healthy financial condition and low risk of financial distress, while stock returns tend to be volatile and influenced by external factors.The study recommends that companies maintain a balance between liquidity, profitability, and capital structure to sustain financial stability. Investors are advised to consider not only financial ratios but also external factors in decision-making. Future researchers are encouraged to expand the sample size and include additional variables to obtain more comprehensive results.

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.