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This study examines the influence of store atmosphere, service quality, word of mouth (WOM), and price perception on consumer purchasing decisions at Cahya Busana's Canggu branch, a local Balinese MSME specializing in high-quality traditional Balinese clothing for men, women, and children. With an increasing demand for traditional attire, understanding the factors that influence consumer decisions is vital for business growth. The study targeted consumers who had purchased traditional clothing at the Canggu branch, using non-probability sampling to select 110 respondents. The data analysis was conducted through multiple linear regression, assisted by SPSS software, to evaluate the relationship between the independent variables (store atmosphere, service quality, WOM, and price perception) and the dependent variable (consumer purchase decisions). The findings indicate that all four factors—store atmosphere, service quality, WOM, and price perception—positively and significantly impact consumers’ purchasing decisions. Specifically, a pleasant store atmosphere, high-quality service, positive word-of-mouth recommendations, and favorable price perception were found to enhance consumers' likelihood of purchasing traditional Balinese clothing. The results suggest that MSMEs, particularly in the traditional clothing sector, can leverage these factors to boost consumer confidence and drive sales. This study contributes valuable insights for businesses aiming to improve their purchasing processes by focusing on these key variables to increase consumer satisfaction and decision-making. By understanding these influences, Cahya Busana and similar businesses can optimize their strategies to attract and retain customers, ultimately improving their market position.

This study was conducted with the aim of evaluating the extent to which sand quality influences consumer purchasing decisions in the sand mining area located in Kalicilik Hamlet, Candirejo Village, Blitar Regency. The background of this research is based on the fact that in the construction and development sector, the quality of building materials is a very crucial factor. Sand, as one of the main components in construction, plays a vital role in determining the final outcome of a construction project. Therefore, the quality of the sand used is a primary consideration for consumers in choosing a location or sand seller. This study applies a quantitative approach using a survey method as a data collection technique. Respondents in this study consisted of 74 consumers who actively make purchases at the sand mining location. Data were obtained through the distribution of questionnaires containing questions related to consumer perceptions of sand quality and their decisions in making purchases. The collected data were then analyzed using simple linear regression analysis techniques run with the help of SPSS software. The results of the analysis indicate a highly significant relationship between sand quality and consumer purchasing decisions. This is demonstrated by the coefficient of determination (R²) of 0.540, meaning that 54% of the variation in consumer purchasing decisions can be explained by sand quality. Furthermore, the significance value of 0.000 strengthens this finding, indicating that the relationship is not a coincidence. Therefore, this study concludes that the better the quality of sand offered by the mining company, the higher the likelihood of consumers deciding to purchase. The implication of these results is that businesses in the sand mining sector need to pay special attention to the quality of the products they offer.

This study aims to examine the influence of independent variables—Social Media, Pricing, and Promotion—on the dependent variable, Repurchase Decision, at Kedai Kopi Bersahaja. A quantitative research method was employed, utilizing multiple linear regression analysis with the assistance of SPSS 25 software. The population of the study consisted of 226 consumers, and a sample of 107 respondents was selected using incidental sampling techniques. Data were collected through questionnaires distributed to visitors who had made at least one purchase at the coffee shop. The results of the analysis indicate that each independent variable—Social Media, Pricing, and Promotion—has a positive and statistically significant partial influence on the Repurchase Decision. Additionally, the variables collectively demonstrate a strong simultaneous influence, suggesting that an integrated marketing approach is crucial for fostering customer retention and encouraging repeat purchases. Among the three, Social Media showed the most dominant influence, emphasizing the growing role of digital presence and online engagement in shaping consumer preferences and purchasing patterns. Based on these findings, it is recommended that Kedai Kopi Bersahaja maximize the use of social media platforms such as Instagram, TikTok, and Facebook by creating engaging, relevant, and interactive content that resonates with the target audience. Content strategies may include customer testimonials, behind-the-scenes videos, product highlights, and limited-time offers. Pricing should be evaluated periodically to remain affordable yet profitable, considering both market competition and perceived customer value. Meanwhile, promotion efforts can be diversified through the use of loyalty programs, bundle offers, student discounts, and digital coupons. The synergy between these three marketing factors—if consistently and strategically applied—is expected to enhance customer loyalty, strengthen brand image, and significantly increase the likelihood of repurchase decisions. These efforts are essential for building sustainable business growth in the competitive food and beverage industry.

This study aims to analyze the influence of Product Quality, Price, Sales Promotion, and Advertising on consumer purchasing decisions on the Bukalapak online store platform. This study used a quantitative approach with descriptive methods, aiming to illustrate the relationships between variables based on empirical data. Primary data were obtained by distributing questionnaires to 120 respondents who were active Bukalapak users in the West Medan District. The data analysis technique used was multiple linear regression with the aid of SPSS software to determine the effect of each independent variable on the dependent variable. The analysis results indicate that, partially, the variables Product Quality, Sales Promotion, and Advertising have a positive and significant influence on purchasing decisions. This means that the higher the product quality, the more effective the promotion, and the more attractive the advertisement, the greater the likelihood of consumers making a purchase. Conversely, the variable Price showed a negative and significant influence, indicating that inappropriate pricing can reduce purchase intention. Simultaneously, all four variables have a significant influence on purchasing decisions. The Adjusted R Square value of 70.4% indicates that this research model is able to explain 70.4% of the variation in purchasing decisions, while the dependent variable is influenced by factors outside the model. This study recommends that Bukalapak continue to improve product quality, develop competitive pricing strategies, strengthen promotions, and create creative advertising. Further research is recommended to consider additional variables such as product reviews, brand image, and service quality to enrich the analysis.

The study presents a comprehensive framework for optimizing customer retention budget by integrating clustering, classification, and mathematical optimization techniques. The study begins with the IBM Telco dataset, which is prepared through data cleansing, encoding, and scaling.  In the preliminary phase, customer segmentation is performed using K-Means clustering, with k = 3 and k = 4 identified as optimal based on the elbow method and Silhouette score. The configurations produced three (Premium, Standard, Low) and four (Premium, Standard Plus, Standard, Low) customer segments based on purchase preferences, which served as input features for churn prediction. In the second phase, the dataset was divided into training and test sets in an 80:20 ratio, followed by data balancing using the Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbors (ENN). Multiple classification algorithms were evaluated, including Naive Bayes (NB), Random Forest (RF), Categorical Boosting (CatBoost), Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost), Gradient Boosting (GB), Support Vector Machine (SVM), Logistic Regression (LR), K-Nearest Neighbors (KNN), and Multi-Layer Perceptron (MLP) using F1-score as the performance metric. CatBoost and LightGBM, with k values of 3 and 4, respectively, were the highest-performing classification models, with only minimal differences in performance.    Ultimately, customer segmentation established customer prioritization, whereas churn prediction assessed customer churn likelihood. Four distinct configurations were assessed utilizing mixed-integer linear programming (MILP) to optimise retention budget allocation within uniform budget constraints, discount amounts, and churn thresholds. In both the k=3 and k=4 scenarios, CatBoost surpassed LightGBM, with CatBoost at K=3 effectively discounting 66% of at-risk consumers across all three segments, hence improving the intervention's efficacy and budget allocation, making it the ideal choice for maximizing customer retention. The results demonstrate the importance of segmentation in enhancing retention budgeting and budget optimization, particularly concerning parameter sensitivity.

Chronic Kidney Disease (CKD) is a major global health issue that can lead to serious complications and long-term medical care. This study aims to identify key clinical factors associated with CKD status using binary logistic regression analysis. The dataset, obtained from Kaggle, contains 400 patient records with various clinical and demographic attributes. The dependent variable is CKD status (positive or negative), while the independent variables include age, blood pressure, hemoglobin level, urine albumin level, and serum creatinine. Initial analysis involved descriptive statistics and multicollinearity checks, followed by model estimation and evaluation using likelihood ratio and Wald tests. The final model identified four significant predictors: blood pressure, hemoglobin, urine albumin, and serum creatinine. The model achieved a high classification accuracy of 95.50% and an Area Under the ROC Curve (AUC) of 98.78%, indicating excellent predictive performance. These results highlight the importance of these clinical indicators in early CKD detection and support their use in risk assessment models for kidney disease screening Keywords: Chronic Kidney Disease, Binary Logistic Regression, Likelihood Ratio Test, Wald Test, Classification Accuracy

Audit quality is defined as the likelihood or probability that an auditor will detect and report any violations or misstatements in a client’s financial statements. This study aims to empirically examine the effect of time budget pressure and auditor rotation on audit quality, with firm size as a moderating variable. The research was conducted on non-bank financial companies listed on the Indonesia Stock Exchange during the 2019–2023 period. The study sample consisted of 50 companies selected using purposive sampling, and the data were analyzed using Moderated Regression Analysis (MRA). The results reveal that time budget pressure and auditor rotation do not have a significant effect on audit quality. Furthermore, firm size does not moderate the relationship between time budget pressure and audit quality, but it does moderate the relationship between auditor rotation and audit quality. These findings underscore the importance of effective time management and auditor rotation policies in maintaining audit quality, particularly for large-scale companies. This study may serve as a useful reference for various stakeholders in understanding the significance of managing time pressure and appropriately implementing auditor rotation to preserve and enhance audit quality.  

This study aims to analyze the role of cash flow and financial ratios in predicting financial distress in manufacturing companies listed on the Indonesia Stock Exchange for the period 2021–2023. The independent variables include cash flow, profitability, liquidity, leverage, and activity ratios, while financial distress serves as the dependent variable. This research employs logistic regression analysis with purposive sampling, resulting in a sample of 100 companies with a total of 300 observations. The findings reveal that liquidity and activity ratios have a significant negative effect on financial distress, while solvency has a significant positive impact. However, cash flow and profitability do not significantly influence financial distress. These findings highlight the importance of liquidity management and asset efficiency in reducing financial distress risk, while also indicating that high debt burdens increase the likelihood of financial distress. The study’s implications provide valuable insights for management and investors in making strategic financial decisions

Advancements in information technology have influenced changes in consumer behavior, particularly in making purchasing decisions, especially with the emergence of the Electronic Word of Mouth (EWOM) phenomenon on social media and e-commerce platforms. EWOM refers to the electronic dissemination of information or reviews about products, which many consumers rely on before deciding to purchase a product. This study aims to analyze how three main aspects of EWOM—intensity, Valence of Opinion, and content quality—affect purchasing decisions for Barenbliss lip cosmetic products in Bandar Lampung. This study uses a quantitative-descriptive approach, with data collected through a questionnaire distributed to consumers who have used Barenbliss products and have seen digital reviews about the product. The sample selected consists of consumers with direct experience with the product and who can provide insights into the influence of digital reviews on purchasing decisions. The data collected was analyzed using SPSS 25.0. The results show that all three independent variables—intensity, Valence of Opinion, and content quality—have a significant positive impact on purchasing decisions, either individually or collectively. All hypothesis tests showed significance values below 0.05, indicating that the hypotheses are accepted. These findings suggest that the more frequently consumers are exposed to product reviews, the higher the likelihood they will make a purchase. Positive reviews (Valence of Opinion) were found to enhance consumer trust in the product, while informative and high-quality content further strengthened the intention to purchase. Overall, this study emphasizes that EWOM plays a significant role in shaping consumer purchasing decisions. The intensity of reviews, positive Valence of Opinion, and content quality work together to increase the likelihood of purchasing Barenbliss products in Bandar Lampung.

Most people are exposed to sudden death as a result of viral hepatitis infection, especially at an advanced age, so we need to know the continuation of the disease until death in a sample of hospitals to know the differences in the services provided by those hospitals. The research aims to estimate a function for the Rayleigh distribution (RD) using several methods (maximum likelihood function, White, s, weighted least square) and choose the best method for estimation using the mean square error (MSE) and compare the survival rates of patients admitted to (Al-Kadhimiya, Al-Karkh, and Yarmouk) hospitals, The results of the research showed in the experimental aspect that the maximum likelihood method for all sample sizes is the best, followed by the weighted least squares method and finally the White method. In the applied aspect, on a sample consisting of (63) patients (liver cirrhosis + liver cancer) for the first quarter of 2025, it was found that their survival rate until death is (33%) for a time average of (2) months and (15) days.

This study aims to determine the influence of customer experience on guest repurchase intention at Favehotel Olo Padang. The background of this research is based on the importance of customer experience in shaping guests' desire to return to use Favehotel Olo Padang services. This study uses a quantitative approach with a causal associative descriptive method. Data collection was carried out through the distribution of questionnaires to 344 respondents who had or were staying at Favehotel Olo Padang. Data analysis was carried out by simple linear regression using the help of SPSS version 26. The results of the study show that customer experience has a positive and significant effect on repurchase intention. This is evidenced by a regression coefficient value of 0.864, and a significance value of 0.000 (< 0.05). An R-Square value of 0.755 indicates that 75.5% of the variation in repurchase intention can be explained by customer experience. Thus, it can be concluded that the better the experience felt by guests, the greater the likelihood of them returning to stay at Favehotel Olo Padang.

The participation of Muslim families in Indonesia’s capital market remains relatively low despite increasing access to financial instruments. This low level of stock ownership highlights the need to analyze the influencing factors. This study aims to examine the effect of socio-economic factors and religiosity on stock ownership decisions among Muslim families in Indonesia. The data used are panel data from the Indonesian Family Life Survey (IFLS) for the years 2007 and 2014, consisting of 32,074 observations from 16,037 household heads. The independent variables include gender, age, household size, income, education level, marital status, social expenditures, area of residence, employment status, and religiosity. The analysis was conducted using probit regression, supported by likelihood ratio tests, goodness-of-fit measures, and marginal effects analysis. The results show that most socio-economic and religiosity variables significantly influence stock ownership decisions. These findings indicate that the investment behavior of Muslim families is shaped by a combination of structural characteristics and religious values. The implications of this study may serve as a foundation for developing contextual and inclusive financial literacy policies.  

This research examines the persuasive strategies used by student candidates in the 2020 Head Boy election at The Fulham Boys School in London, England. Specifically, on how teenagers convey persuasive messages in a formal school-based leadership context to persuade their peers. The study aims to identify and categorize the persuasive elements of their campaign speeches through Petty and Cacioppo's the Elaboration Likelihood Model (ELM) which differentiates between central (logical, content driven) and peripheral (emotional, stylistic) routes to persuasion. With a qualitative descriptive approach, the campaign speeches were collected in video format and transcribed, then they were content analyzed according to several categories. Each persuasive statement was classified according to the ELM principles. All four candidates were found to be applying center and peripheral routes and had responsibility of both audience demands and the leadership image. Some candidates were predisposed to use rational solutions, while others made more use on emotional appeals. This highlights the complexities involved in a student speaker's role in a leadership speech that balanced the appeal of the message against the message itself.  

This study aims to examine the influence of the number of poor people, average years of schooling, and labor force participation rate on the open unemployment rate (OUR) in Maluku Province from 2017 to 2023. The study uses panel data from 11 districts/cities and applies a regression model using a fixed effect approach. The results show that the average years of schooling have a positive and significant effect on the open unemployment rate. This implies that the longer an individual pursues education, the higher the likelihood of unemployment, as they tend to have higher job expectations and are less willing to accept available jobs. Meanwhile, the labor force participation rate has a negative and significant effect, indicating that a higher number of actively working individuals leads to a lower unemployment rate. The number of poor people does not have a significant effect on unemployment. Overall, the model explains approximately 53.5% of the variation in the open unemployment rate. These findings indicate that education and labor participation are crucial factors in reducing unemployment, but must be supported by the availability of suitable employment opportunities.

Complete basic immunization, including DPT-HB 1,2,3, plays a vital role in reducing infant morbidity and mortality from vaccine-preventable diseases. However, immunization coverage remains suboptimal, partly influenced by maternal knowledge and attitudes. This study aims to determine the relationship between mothers’ knowledge and attitudes and the provision of DPT-HB 1,2,3 immunization at Mersip Public Health Center in 2023. This quantitative research used a descriptive analytic method with a cross-sectional approach. The study involved 134 respondents selected through purposive sampling. Bivariate analysis using the chi-square test showed a significant relationship between mothers' knowledge (p = 0.000) and attitudes (p = 0.008) with the administration of DPT-HB 1,2,3 immunization. The study concludes that better maternal knowledge and positive attitudes are associated with a higher likelihood of complete DPT-HB 1,2,3 immunization for their babies. These findings highlight the need for enhanced health promotion by healthcare providers targeting mothers in the Mersip area.

According to data from the World Health Organization, around 90% of women experience severe dysmenorrhea, and 10-15% experience mild dysmenorrhea. Research in various countries has also shown that more than 50% of women suffer from primary dysmenorrhea. This study aims to analyze the impact of health education on how adolescent girls cope with menstrual pain at MA Alhudaebiyah, Sukabumi, in 2024. The research method used is a descriptive quantitative approach with a sample of 50 female students from grades X, XI, and XII. The results show that 88% of the respondents experience primary dysmenorrhea, and most of them employ strategies that are not very effective. The Chi-Square statistical test yielded a p-value of 0.000 (α < 0.05), indicating a significant relationship between knowledge level and efforts to reduce pain. The Odds Ratio (OR) value of 215 indicates that good knowledge greatly increases the likelihood of taking more effective actions.

The rapid growth of social media among university students raises concerns regarding its impact on health, particularly sleep patterns. This research investigates the link involving social media usage intensity and students’ sleep patterns. A descriptive quantitative approach was employed through a survey method involving 30 active undergraduate students from various universities in Indonesia, using a survey based on Likert items. The analysis applied Pearson’s correlation to assess the intensity and orientation of the link between variables. The results revealed a strong and affirmative link between social media engagement and sleep pattern disturbances, indicated by a correlation score of 0.655. This reflects that greater intensity in using social media is associated with increased likelihood of disrupted sleep patterns, including irregular sleep schedules, reduced sleep duration, and decreased sleep quality. These findings emphasize the importance of better digital time management and educational interventions regarding healthy sleep habits, both for students and higher education institutions.  

International trademark infringement poses a complex challenge for brand owners due to jurisdictional variations and differing legal systems across countries. This study examines available legal remedies, ranging from non-litigation dispute resolution mechanisms such as Alternative Dispute Resolution (ADR) - encompassing negotiation, mediation, and arbitration - to formal litigation in national courts. ADR offers advantages in time efficiency, cost-effectiveness, and confidentiality, while litigation provides legal certainty through binding court decisions such as injunctions and damages awards. Preventive strategies including international trademark registration through the Madrid System and cooperation with customs authorities serve as crucial proactive protection measures. Furthermore, this research analyzes judicial considerations in cross-industry trademark disputes, including assessment of trademark similarity (visual, phonetic, conceptual), reputation of well-known marks, bad faith of infringers, and potential consumer confusion. Case studies such as Louis Vuitton vs. Louis Vuitton Dak and Zara Food vs. Zara Fashion demonstrate judicial application of the likelihood of confusion principle and anti-dilution doctrine even across different industries. The research employs normative legal methodology with statutory and secondary document analysis approaches. Findings confirm that legal strategy selection must consider infringement scale, jurisdiction, and business objectives, while international trademark protection requires integration of proactive registration, legal enforcement, and comprehensive understanding of global market dynamics.

Pregnant women with poor nutritional status or Chronic Energy Deficiency (CED) are at risk of health complications for both the mother and fetus, such as low birth weight (LBW). This study aimed to determine the relationship between pregnant women with CED and the incidence of LBW at RSUD Sultan Muhammad Jamaludin I. The study used a descriptive correlational design with a retrospective approach using secondary data from medical records. The population consisted of 330 respondents, selected by total sampling technique. Univariate and bivariate analyses (Chi-square test) were performed. Most respondents were under 35 years old (66.4%), primigravida (62.0%), in their third trimester (100%), and had tertiary education (54.2%). Most did not have LBW infants (91.8%), and most were not diagnosed with CED (24.1%). Chi-square analysis showed a significant correlation (p=0.001) with an Odds Ratio of 11.566, indicating that CED significantly influences the likelihood of LBW.

Laboratories play a crucial role in ensuring patient safety, with approximately 80–90% of clinical diagnoses relying on laboratory test results. Despite their importance, laboratory errors are reported to occur in about 0.012% to 0.6% of all tests conducted. Patient safety is fundamentally a managerial responsibility that can be improved through the implementation of robust systems aimed at detecting and addressing quality deficiencies. A reactive approach to this involves incident reporting followed by root cause analysis, which helps uncover and rectify weaknesses in existing policies and procedures. Alternatively, a proactive strategy such as Failure Mode and Effects Analysis (FMEA) focuses on evaluating the entire testing process, anticipating potential adverse events, and taking preventive measures before such issues arise. This method is particularly effective for prospective risk assessment in high-risk procedures, thereby minimizing the likelihood of errors within laboratories and other areas of patient care.