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The rapid development of digital technology has led to an increased adoption of digital payment methods in online transaction-based businesses. However, in practice, failures and limitations in the implementation of digital payment systems still occur, potentially disrupting transaction processes and reducing customer convenience. Payment related obstacles may result in transaction cancellations and increase the risk of customer churn. This study aims to analyze the impact of failures and limitations in digital payment methods on customer churn using a classification-based approach. The data used in this research are secondary e-commerce customer data obtained from the Kaggle platform, including transaction information, payment methods, customer behavior, and historical transaction records. The research methodology consists of data preprocessing, time-based feature engineering, and classification modeling using logistic regression, decision tree, and random forest algorithms. Model performance is evaluated using accuracy, precision, recall, F1-score, and confusion matrix metrics. The results indicate that the decision tree model demonstrates superior capability in identifying churn customers compared to the other models, although it does not always achieve the highest accuracy. In addition to digital payment methods, other factors such as purchase value, transaction frequency, purchase timing patterns, and product return rates also influence customer churn. The findings highlight the importance of optimizing digital payment systems as part of customer experience enhancement strategies and customer retention efforts in online transaction–based businesses.

Effective information system design requires a clear and comprehensive understanding of the desired ideal system conditions in order to support organizational objectives. The TO-BE approach is a business process modeling method that describes future system conditions as a conceptual and strategic basis for improving existing AS-IS conditions. This study aims to analyze the effect of implementing the TO-BE approach in information system design on the clarity of system requirements, overall process efficiency, and the quality of system design outcomes. The research method used is descriptive-analytical research with a qualitative approach, employing data collection techniques such as literature review, direct observation, and in-depth analysis of system design documents. The results show that implementing the TO-BE approach in information system design provides a more structured and systematic overview of business processes, minimizes mismatches between system functionality and user needs, and improves the effectiveness and efficiency of business processes. Furthermore, the TO-BE approach assists system developers and analysts in designing system solutions that are aligned with organizational goals, operational requirements, and user expectations. Thus, implementing the TO-BE approach positively impacts the overall quality of information system design and is recommended as a critical and essential step in information system development initiatives.

This study aims to analyze the effect of digital marketing on firm value and to examine the mediating role of profitability. The research employs a quantitative approach with an explanatory research design. The sample consists of six cosmetic companies listed on the Indonesia Stock Exchange (IDX) during the 2021–2024 period, selected using purposive sampling based on data availability. The analytical technique used is Structural Equation Modeling with the Partial Least Squares approach (SEM-PLS) using SmartPLS 4. The study utilizes secondary data obtained from the companies’ annual financial reports. The results indicate that digital marketing has a positive and significant effect on firm value. Digital marketing also shows a positive effect on profitability; however, this effect is not statistically significant. Meanwhile, profitability has a positive and significant effect on firm value. The indirect effect test yields a coefficient (O) of 0.239, a t-statistic of 1.914, and a p-value of 0.056, indicating that profitability does not mediate the relationship between digital marketing and firm value. These findings suggest that digital marketing strategies have a more dominant direct effect on enhancing firm value than an indirect effect through profitability.

This research is motivated by a significant decline in sales of herbal products/jamu (herbal medicine) from PT Martina Berto Indonesia during the 2021–2024 period, as reflected in the 2024 annual report. This downward trend indicates issues related to customer satisfaction and loyalty, changes in consumer perceptions of the product, and increased competition from other herbal brands. The continued decline in sales in 2024, reaching IDR 95 million, indicates a serious challenge to the product's sustainability in the market. This study aims to examine the influence of perceived value on customer loyalty of Sariayu Herbal Scrub through customer satisfaction in Bandung City. This study employs quantitative methods, incorporating verification approaches. The data used in this study consist of primary and secondary data. The sample consisted of 115 respondents. Data analysis was performed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with the assistance of SmartPLS 4 software, and the sampling method applied was the sample size technique. The results of this study indicate that perceived value has a positive and significant influence on customer satisfaction, customer satisfaction has a positive and significant influence on customer loyalty, and perceived value has a positive and significant influence on customer loyalty. However, perceived value influences customer loyalty indirectly through customer satisfaction. These findings offer practical insights for companies to improve perceived value and customer satisfaction, key strategies to enhance customer loyalty, and maintain business sustainability.

Plastic waste has become one of the main environmental problems due to its nature, which is difficult to decompose naturally and can cause environmental pollution. One alternative waste treatment method that can be applied is to use a plastic melter to melt and recycle plastic waste into useful products. However, the design of plastic melters often lacks consideration of structural strength and safety aspects during the operation process. This study aims to design and engineer a plastic melter using the Finite Element Analysis (FEA) simulation approach to analyze structural resistance to thermal and mechanical loads that occur during the operation process. The research method was carried out through 3D design modeling of plastic melter components using Solidworks software, followed by analysis with FEA simulation on the main component, namely the melting tube. The parameters analyzed include the distribution of von Mises stress, the amount of displacement, and the safety factor. The analysis results show that the analyzed components experience von Mises stress distribution and displacement that are still below the material tolerance limits, with safety factor values above the recommended safety limits. Thus, the resulting plastic melter design is declared safe and can proceed to the manufacturing process. Therefore, the plastic melter design is safe, strong, and feasible to be realized as an effective and sustainable plastic waste processing technology solution.

Motor development in early childhood is a crucial foundation for executive functions and psychosocial health. However, the current sedentary lifestyle and gadget dependency hinder the optimization of this physical potential. This community service aims to enhance children's self-confidence and physical agility through the "Active Movement Exploration: Fun Agility Game" program. The activity was conducted at TK Negeri PAUD Tamalate, Makassar, involving 93 children in the initial observation. The method employed was Guided Modeling-Practice, which includes agility circuit preparation, demonstration, and guided exploration. The game instruments included Zig-Zag Safari, Stop-Go Traffic, Balance River Stones, Ball-to-Target Trail, and Choose-Your-Path. The results showed a significant improvement in Fundamental Motor Skills (FMS), particularly in agility, balance, and manipulative coordination. Additionally, there was progress in psychological aspects, specifically in self-regulation, autonomy, and self-efficacy. In conclusion, the integration of structured yet enjoyable agility games is effective in building a strong physical and character foundation in early childhood.    

This study aims to analyze the influence of HR Information Systems and Work Discipline on Employee Performance Through Job Satisfaction as an Intervening Variable at CV Multirejeki Selaras, Payakumbuh City. Data collection methods were through interviews and questionnaires. The population in this study was 40 employees. The data analysis method used was Structural Equation Modeling (SEM) using Partial Least Square (PLS). Based on the results of data analysis, it was found that HR Information Systems had a positive and significant effect on Job Satisfaction, Work Discipline had a positive and significant effect on Job Satisfaction, HR Information Systems had no and insignificant effect on Employee Performance, Work Discipline had no and insignificant effect on Employee Performance, Job Satisfaction had a positive and significant effect on Employee Performance, Job Satisfaction was able to mediate the effect of HR Information Systems on Employee Performance, Job Satisfaction was able to mediate the effect of Work Discipline on Employee Performance. The results of this study indicate that although the HR Information System and Work Discipline have a positive influence on Job Satisfaction, both do not have a direct influence on Employee Performance, but rather through the role of Job Satisfaction as a significant mediator.

This study aims to analyze the effect of compensation and work environment on work morale with work motivation as an intervening variable at PT. Dofla Jaya Properti Padang. The research sample was determined using a saturated sampling technique. The research method used is a quantitative approach with data analysis using Structural Equation Modeling (SEM) based on Partial Least Square (PLS) version 3.0. The results of the study indicate that compensation has a significant effect on work motivation, compensation has a significant effect on work morale. And the work environment has no effect and is not significant on work motivation, the work environment has no effect and is not significant on work morale. And work motivation is able to mediate the effect of compensation on work morale, work motivation is not able to mediate the effect of the work environment on work morale. The conclusion of this study shows that increasing employee work morale is more effectively done through providing appropriate compensation and increasing work motivation.

PT. Hakaaston Sungai Lansek is a company engaged in manufacturing and infrastructure construction. This study aims to analyze the effect of performance appraisal and training on employee performance through work ability as an intervening variable at PT. Hakaaston Sungai Lansek. The population and sample consist of all employees of the company. Data were collected through questionnaires and analyzed using the Structural Equation Modeling–Partial Least Square (SEM-PLS) method with SmartPLS 3.0. The results of the study indicate that performance appraisal does not have a positive and significant effect on work ability, while training has a positive and significant effect on work ability. Furthermore, performance appraisal has a positive and significant effect on employee performance, whereas training does not have a positive and significant effect on employee performance. Work ability is proven to have a significant effect on employee performance. The results of the indirect effect analysis show that work ability is not able to mediate the effect of performance appraisal on employee performance; however, it is able to mediate the effect of training on employee performance. Thus, work ability plays an important role in improving employee performance, particularly through the effective implementation of training.

This study aims to analyze how work skills and work flexibility affect work productivity through job satisfaction as an intervention variable among Gojek partners in the Malang City area. This study uses a quantitative methodology with a causality design. Using simple random sampling, questionnaires were sent to 120 selected Gojek partners to obtain initial data. A Structural Equation Modeling (SEM) based on linear regression analysis was used to analyze the data. This was done using the SPSS program. The results of the study indicate that work skills and work flexibility positively and significantly affect the productivity of Gojek partners. In addition, job skills and work flexibility also have a positive and significant effect on job satisfaction. Job satisfaction is also proven to have a positive and significant effect on work productivity, and also functions as a mediating variable in the relationship between job skills and work flexibility and work productivity. The results show that job satisfaction can increase with job skills and a more flexible work environment. Ultimately, this will have an impact on increasing the productivity of Gojek partners. It is hoped that this research will help digital platform managers create more flexible and sustainable HR management strategies.

Coffee husk is an agro-industrial waste with significant potential to be utilized as a renewable energy source through the fast pyrolysis process. This study aims to analyze and optimize gas production from the fast pyrolysis of coffee husk biomass using a screw reactor through single-particle-based Computational Fluid Dynamics (CFD) simulations. The simulations were conducted by varying the operating temperature at 500°C, 600°C, and 700°C to examine pressure distribution, heat transfer, particle temperature, and the formation of pyrolysis products, namely bio-oil, biogas, and biochar. The modeling was performed using COMSOL Multiphysics 6.2 with a numerical approach to represent thermal phenomena and biomass decomposition reactions during the pyrolysis process. The simulation results indicate that increasing temperature significantly affects the rate of heat transfer and the temperature distribution of coffee husk particles. At 600°C, heat transfer and temperature distribution are more uniform compared to 500°C, although heating at the particle core is not yet fully optimal. The pressure distribution shows a stable flow of pyrolysis gas from the bottom to the top of the reactor. In terms of products, increasing temperature leads to a reduction in biochar and bio-oil formation due to the occurrence of secondary reactions, while biogas production increases. The highest gas production is achieved at 700°C, indicating the most optimal condition for maximizing gas yield from fast pyrolysis. Therefore, single-particle-based CFD simulation can be used as an effective tool to understand pyrolysis mechanisms and optimize process parameters in a screw reactor.

Faith education for children in contemporary Christian families is experiencing a crisis as many parents completely hand over the responsibility of faith education to schools and churches. This study aims to analyze the principles of faith education in Deuteronomy 6:4-9 and formulate strategic roles for Christian Religious Education teachers in empowering parents to implement faith education at home. The research method used is qualitative with a library research approach and hermeneutical analysis of Deuteronomy 6:4-9. The results show that Deuteronomy 6:4-9 emphasizes the importance of parental role modeling, repetitive teaching, integration of faith in daily life, and creation of a faith-rich home environment. Christian Religious Education teachers play a strategic role in empowering parents through theological training, provision of practical materials, continuous mentoring, partnership with churches, and exemplary living. Collaboration between Christian Religious Education teachers and families is essential to build a holistic faith education ecosystem so that children grow with a strong faith foundation from home.

This study aims to examine the effect of microcredit on the level of community welfare in Kecamatan Sumbawa, with study locations in Kelurahan Pekat and Brang Bara. Microcredit is positioned as one of the strategic instruments in efforts to empower the economy of low-income communities, especially through increasing access to financing, income generation, and social welfare. This research uses a quantitative approach with Structural Equation Modeling (SEM) method based on Partial Least Square (PLS). The study population consisted of 100 micro-entrepreneurs in the two villages who had received microcredit from local financial institutions. The variables analyzed include ease of credit access (X1), credit repayment (X2), income (Y), and community welfare (Z) which acts as a mediating variable. The results of the analysis show that easy access to microcredit does not have a significant effect on income or community welfare. In contrast, the variable of microcredit repayment has a positive and significant effect on community welfare. In addition, income also has a positive and significant influence on welfare, indicating that an increase in income is a key factor in determining the economic and social welfare of microcredit recipient households. This finding confirms that the success of the microcredit program is more influenced by the effectiveness of the management and sustainability of the credit repayment system, rather than solely by the ease of access to financing.  

The purpose of this study is to examine the influence of income and employment opportunities on women's decision to become migrant workers, as well as the impact on the level of family welfare of women migrant workers. The approach used is a quantitative method by utilizing primary data collected through the distribution of questionnaires to female respondents who have worked or are currently working as migrant workers in Kecamatan Utan, Kabupaten Sumbawa Besar. Data analysis was conducted using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method with the help of SmartPLS software. The research variables were measured using a number of indicators formulated based on the theoretical basis and the results of previous studies. The findings show that income has a positive and significant influence on women's decision to work as migrant workers, with a coefficient of 1.940 and a p-value of 0.000. In contrast, employment opportunities have a negative and significant effect on the decision, with a coefficient of -1.147 and a p-value of 0.000. Furthermore, women's decision to become migrant workers has a positive and significant effect on family welfare, as shown by a coefficient of 0.594 and a p-value of 0.001. However, income does not have a significant direct effect on family welfare, with a p-value of 0.151. Meanwhile, employment opportunities have a positive and significant influence on family welfare, with a coefficient of 0.691 and a p-value of 0.030. These results indicate that women's decision to become migrant workers functions as a mediating variable in efforts to improve family welfare.

This study aims to analyze consumer purchasing behavior on e-commerce platforms using the Decision Tree algorithm as an easily interpretable classification method. The dataset used consists of 12,330 transaction records with 18 attributes representing visitor characteristics and user activities during interactions with the e-commerce platform. The research stages include data exploration to identify initial patterns, data preprocessing to handle missing values and class imbalance, splitting the data into training and testing sets, training the Decision Tree model, evaluating model performance, and visualizing the tree structure to analyze decision rules.The test results show that the Decision Tree model with a maximum depth of 3 achieves fairly good performance, with an average accuracy of 89.78%, precision of 69.82%, recall of 59.95%, and an F1-score of 64.51% for the buyer class. The visualization of the decision tree provides clear interpretation of the main attributes influencing purchasing decisions, thereby facilitating understanding for non-technical decision makers. Overall, this study demonstrates that the Decision Tree method is effective in modeling consumer purchasing behavior in e-commerce and can be utilized as a basis for data-driven business decision making, particularly in marketing strategies and improving sales conversion rates.

Millennials aged 25 to 40 are currently the largest consumer group. Their dynamic lifestyles and social demands make them highly consumptive. The ease of obtaining credit, such as loans and credit cards, through advances in financial technology (FinTech) has further accelerated this trend. Unfortunately, exposure to social media that portrays a consumptive lifestyle encourages many of them to follow trends and buy non-essential items. The lack of financial literacy among young Indonesians often makes them unaware of the consequences of debt, which ultimately erodes the financial independence that is so badly needed in this era. This study aims to prove the relationship between Financial Technology, Lifestyle, and Self-Control that influence Debt Behavior. In addition, it is seen that men and women have different levels of self-control, and this is input for researchers to add gender as a moderating variable in their research. The research method used is a mixed method, more precisely a Sequential Explanatory Design, in which quantitative data is collected and analyzed, then combined with qualitative data to explain or enhance quantitative findings. Primary data was collected through questionnaires and interviews with experts, while secondary data was collected from articles and other reference data. The population used was the community in the city of Jakarta. The sample was collected using accidental sampling techniques, and the statistical test tool used Structural Equation Modeling (SEM) with SmartPLS software.

This study to analyze the effect of Non Performing Loan (NPL), Capital Adequacy Ratio (CAR), and Net Interest Margin (NIM) on Return on Assets (ROA) with Operating Expenses to Operating Income (BOPO) as an intervening variable at PT Bank Rakyat Indonesia (Perser) Tbk. This research employs a quantitative approach using secondary data obtained from the annual financial statements of Bank BRI for the period 2015-2024. The data analysis method used in this study is Structural Equation Modeling (SEM) based on Partial Least Squares (PLS), which allows the examination of both direct and indirect relationship among variables in the research model. The independent variables consist of NPL, CAR, and NIM, the intervening variable is BOPO and the dependent variable is ROA. The results indicate that NPL has a positive effect on BOPO, suggesting that higher credit risk leads to increased operational costs. CAR and NIM have a negative effect on BOPO, indicating that adequate capital and effective interest income management improve operational efficiency contributes to increased bank profitability. The findings also confirm that BOPO mediates the relationship between NPL, CAR, and NIM on ROA. This study is expected to contribute to the academic literature on banking financial management and provide practical insights for bank management in enhancing operational efficiency and sustainable profitability.

The development of Artificial Intelligence (AI) technology has significantly changed strategy and decision making in marketing management. However, the massive use of AI raises new challenges regarding ethics, transparency and governance. This research aims to analyze the impact of using AI, especially recommender systems and large language models (LLMs), on the effectiveness of marketing decisions, as well as the role of AI governance in controlling emerging ethical issues. The research method uses a quantitative approach with Structural Equation Modeling (SEM) analysis of data collected from 250 marketing professionals in Indonesia. The research results show that the use of AI has a significant positive effect on the effectiveness of marketing decisions (β=0.62, p<0.001), but also raises ethical issues (β=0.48, p<0.01). Ethical issues were proven to reduce the effectiveness of marketing decisions (β=-0.31, p<0.05), while good AI governance was able to moderate the negative impact of ethical issues (β=0.27, p<0.05). These findings underscore the importance of AI governance in building effective and ethical marketing systems.

Personal financial management behavior has gained prominence amid economic globalization, digital transformation, and crisis-induced shifts that reshape individual decision-making, budgeting, saving, and risk practices. This study conducts a comprehensive bibliometric analysis to chart the intellectual structure, growth patterns, and future orientations of research in this domain. Drawing on 312 English-language publications from the Scopus database spanning 2000 to 2024, the analysis employs VOSviewer for co-authorship, keyword co-occurrence, and co-citation mapping, complemented by performance metrics on trends and productivity. Findings reveal a marked acceleration in scholarly output, particularly after 2020, driven by heightened attention to digital tools and resilience factors. Thematic clusters highlight progression from foundational literacy and demographic influences to psychological mediators (e.g., self-efficacy, attitudes) and outcomes centered on well-being and socialization. Geographic contributions concentrate in the United States and Indonesia, with strong Asia-Pacific networks, while productive authors form specialized collaborative hubs. The intellectual base integrates behavioral frameworks with empirical applications, underscoring interdisciplinary depth. These insights address fragmentation in prior work by providing a unified knowledge map, revealing gaps in cross-cultural integration and dynamic digital modeling. Implications extend to guiding targeted interventions for financial education and policy, fostering individual resilience in volatile environments. This synthesis supports scholars and practitioners in advancing evidence-based approaches to sustainable personal finance practices.

The decline in service quality observed in 2023, such as frequent malfunctions of queue management machines and slow credit processing, indicates that the implementation of Total Quality Management (TQM) at PT Bank Pembangunan Daerah Sulawesi Tenggara, Wakatobi Branch, has not been fully optimized. These issues are particularly evident in aspects of continuous improvement, employee education and training, long-term management commitment, and employee involvement and empowerment. Therefore, this study aims to analyze the effect of Total Quality Management implementation on employee performance at PT BPD Sultra Wakatobi Branch. This research was conducted from February to August 2024 in Wangi-Wangi Regency. The study employed a quantitative research design using a census approach, in which all 40 employees were included as respondents. The data used in this study consisted of primary data collected through questionnaires and secondary data obtained from company documents. Descriptive analysis and Structural Equation Modeling–Partial Least Squares (SEM-PLS) were applied to examine the relationship between TQM and employee performance. The results reveal that long-term management commitment as well as employee involvement and empowerment have a significant effect on employee performance. In contrast, continuous improvement and education and training do not show a significant influence, indicating the need for further evaluation and improvement to strengthen the future implementation of Total Quality Management and enhance organizational performance.