Modeling-Partial Least Research Articles

The Influence of Hospital Service Quality, Hospital Service Innovation Strategy, and Therapeutic Communication Competence of Doctors on Patient Loyalty Mediated by Trust in a Military Hospital under the Indonesian Army Health Center

Aims: This study aims to explore the influence of hospital service quality, hospital service innovation strategy, and doctors' therapeutic communication competence on patient loyalty, with trust and patient satisfaction as mediating variables. Study Design: Quantitative, cross-sectional study. Place and Duration of Study: The research was conducted at the Level III Army Hospital, a healthcare facility managed by the Indonesian Army under the Army Health Center (Puskesad). Methodology: A structured survey was administered to 384 family patients receiving care at the hospital. Data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) to examine the relationships between hospital service quality, innovation strategies, therapeutic communication competence, trust, and patient loyalty. Results: The study found that service quality, innovation strategies, and communication efficiency positively influence patient loyalty, with trust mediating the effect of service quality and communication efficiency. However, trust did not mediate the effect of innovation strategy on loyalty Conclusion: Hospital service quality, innovation strategies, and therapeutic communication competence are critical factors influencing patient loyalty. Trust enhances the effects of hospital service quality and therapeutic communication competence on loyalty but does not mediate the impact of innovation strategies. These findings highlight the importance of improving service quality and communication competence to build trust and foster patient loyalty in hospital settings.

The Influence of Local Government Integrity on Local Government Budget and its Implications for Development

This research aims to analyze the influence of local government integrity on APBD management and its implications for the quality of regional development in Indonesia. Secondary data from BPS, SPI, and APBD records for cities and regencies in Indonesia in 2022 were used. Data were analyzed using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. This method integrates measurement models to validate indicators and structural models to assess relationships between latent variables. Key evaluation criteria, including reliability, validity, and hypothesis testing, were employed to ensure robustness. The results indicate that higher local government integrity improves APBD management, albeit with a relatively modest effect. Integrity plays a crucial role in preventing corruption and enhancing the sustainability of regional development, highlighting its importance in public financial management. These findings underscore the necessity of promoting high-integrity practices in local governance to achieve sustainable development goals.

Key Factors Influencing Distributor Purchase Decisions for NPK Phonska Plus Fertilizer

Nitrogen, Phosphorus, Potassium (NPK) fertilizer production in Indonesia is dominated by private producers and imported products, making PT Pupuk Indonesia's market share for NPK Phonska Plus relatively small. To increase sales and market penetration, companies need to understand distributor preferences as an important part of the supply chain. The study aims to identify purchasing preferences and distributor behavior that have a significant impact on product marketing. This study was conducted by surveying 212 distributors in East Java, which is the largest market for NPK Phonska Plus. Using observation and survey methods, data was processed using the Structural Equation Modeling-Partial Least Square (SEM-PLS) approach, targeting distributors in non-city areas of East Java. The results of the study provide an in-depth overview of the factors that influence distributor decisions, such as product quality, price, and service support. Strategic recommendations are formulated to increase competitiveness, strengthen relationships with distributors, and expand the company's market share. With this data-based marketing strategy, PT Pupuk Indonesia can strengthen its position in the domestic market, especially for its flagship product NPK Phonska Plus, facing the challenges of competition in the fertilizer industry in Indonesia.

Determinants of Successful Economic Independence in Pesantren

This study analyzes the factors that influence the economic independence of pesantren with a focus on the role of leaders, business units, and santri empowerment programs. Using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method, data were obtained from 104 respondents who are boarding school administrators. The findings show that pesantren leaders have a significant positive effect, which is reflected in involvement in ulama organizations and community participation. Business units, through the management of kopontren, as well as the empowerment of santri with the integration of entrepreneurship in the curriculum, also contribute to the success of economic independence. Recommendations for the development of pesantren economic independence include utilizing internal potential, developing an entrepreneurial spirit among santri, and utilizing alumni networks. Future research is recommended to expand the scope of respondents and consider additional variables for a more comprehensive analysis.This study analyzes the factors that influence the economic independence of pesantren with a focus on the role of leaders, business units, and santri empowerment programs. Using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method, data were obtained from 104 respondents who are boarding school administrators. The findings show that pesantren leaders have a significant positive effect, which is reflected in involvement in ulama organizations and community participation. Business units, through the management of kopontren, as well as the empowerment of santri with the integration of entrepreneurship in the curriculum, also contribute to the success of economic independence. Recommendations for the development of pesantren economic independence include utilizing internal potential, developing an entrepreneurial spirit among santri, and utilizing alumni networks. Future research is recommended to expand the scope of respondents and consider additional variables for a more comprehensive analysis.

COUNTERPRODUCTIVE WORK BEHAVIOR: PENGARUH JOB DEMAND DAN KNOWLEDGE MANAGEMENT

The study highlights the impact of job demand and knowledge management in the company towards the counterproductive work behavior of drivers and co-drivers in a bus company. Conducted at PT Gunung Harta Transport Solutions, Malang, Indonesia, the research involved 79 bus crew consists of drivers and co-driver that are selected through simple random sampling from a population of 382 crew. Data for the research were collected via questionnaire and analyzed using the Structural Equation Model Partial Least Square (SEM-PLS) method. The result reveal that knowledge management had a significant negative impact towards counterproductive work behavior and that job demand positively and significantly influence counterproductive work behavior. These findings can be valuable for human resource management to manage and mitigate employee’s counterproductive work behavior with the help of a good knowledge management and the right amount of job demand.

The relationship of parent-child attachment and religiosity to improving adolescent self-esteem

Adolescence is risky and vulnerable; the emergence of risky behavior is often motivated by low self-esteem. This study aims to analyze the effect of parental attachment and religiosity on the adolescents' self-esteem in Bogor City and the differences in parental attachment, religiosity, and self-esteem between male and female adolescents. This study uses an explanatory research design and aims to explain the cause-and-effect relationship between variables. This research has passed the ethical review of the Human Research Ethics Committee of the Bogor Agricultural University, with Number 1062/IT3.KEPMSM-IPB/SK/2023.The research was conducted in ten schools, namely four junior high schools and six senior high schools in Bogor City. The population of this study was adolescents in Bogor City. The sampling technique in this study was cluster random sampling based on class, involving ten schools with details of four junior high schools and six senior high schools, with 50 students from each school, so the total number of respondents was 500 respondents. The research was conducted in October 2023. Data analysis used Statistical Package for Social Science (SPSS) 25.0 for inferential analysis (independent sample T-Test and Structural Equation Modeling-Partial Least Square (SEM-PLS) for influence analysis. This study shows that adolescent self-esteem is influenced by parent-child attachment and religiosity. The difference in test results showed that religiosity in female adolescents was higher. Meanwhile, male adolescents have higher self-esteem. The implications of this research are the government can expand access to family and adolescent counseling services in schools and the community. This counseling can help families build better attachments, help adolescents find their identity, and improve their self-esteem.

Discrimination of Healthy and Botrytis cinerea-Infected Grapes Using Untargeted Metabolomic Analysis with Direct Electrospray Ionization Mass Spectrometry.

Botrytis cinerea infections of grapes significantly reduce yield and quality and increase phenolic compound oxidation, resulting in color loss, off-flavors, and odors in wine. In this study, metabolites were extracted from grape homogenates comprising healthy or infected grapes from different vintages, cultivars, regions, and maturity stages. Samples were randomly analyzed by direct injection into an ion trap mass spectrometer, with data collected from 50 to 2000 m/z for 1 min. Molecular feature abundances from 0.1 to 0.4 min were normalized prior to Principal Components Analysis assessment of workflow. Samples were randomly assigned to a calibration and independent test sample set, with feature reduction, a two-class model Partial Least Squares-Discriminant Analysis, cross-validation, and permutation testing performed with the calibration data set. Prediction of sample class in the independent test samples demonstrated an overall predictive error of less than 5%. Feature importance was assessed using a combined variable importance in projection and selectivity ratio plot. Annotation of important molecular features using a high-resolution LC-QTOF mass spectrometry MS/MS of selected samples enabled key metabolites palmitic, oleic, linoleic and linolenic acids, succinate, and epicatechin to be identified and associated with infection. The proposed workflow establishes sensitive high-throughput rapid MS-based methods for phytosanitary testing of grape and fruit samples.

Fostering poverty reduction through ultra-microfinance interventions for agricultural MSES in Indonesia: The role of business size and gender

Studies on the role of gender, family businesses, and non-family businesses in examining financial management practices, particularly in developing countries, have been largely overlooked. This research, based on the collaboration between Positive Accounting Theory (PAT) and Agency Theory, aims to explore the intervention of microfinance in micro and small agricultural enterprises (MSEs). Using a quantitative approach, the study employs the Structural Equation Model Partial Least Square (SEM-PLS) method with a sample size of 656 respondents, comprising ultra-micro and small business actors in the agricultural sector in Indonesia. The findings indicate that for micro-sized businesses, entrepreneurial success mediates the relationship between microfinance and subjective wellbeing, while in small-sized businesses, poverty reduction and entrepreneurial success fully mediate the relationship between ultra-microfinance and subjective wellbeing. Ultra-microfinance assists business owners in enhancing their financial resource capacity more easily. On the other hand, microfinance not only provides financial access but also offers training and mentorship programs, helping business owners achieve long-term success. The study also reveals that gender does not mediate the relationship between microfinance and subjective wellbeing. Gender inequality in accessing resources, differences in decision-making participation, and social norms that still limit women's roles in economic activities within the agricultural sector are contributing factors. The implication of this study is to provide insights for decision-makers in the agricultural MSME sector to enhance subjective wellbeing. It is hoped that poverty alleviation programs through microfinance initiatives, such as PNPM, can be optimally absorbed and have a positive impact on empowering business owners to reduce structural poverty, especially in the key sector of agricultural businesses.

Community Social Capital and Farmer Development: Key Drivers of Welfare and Business Productivity in Farmer Groups

Community Social Capital and farmer characteristic development are seen as important factors that can influence farmer welfare and farming productivity in farmer groups. This study aims to analyze the influence of Community Social Capital and farmer characteristic development on farmer group welfare and business productivity. This study uses a quantitative method with a survey approach, with 35 respondents who are members of farmer groups in Dayun District, Riau Province. Data were collected using a questionnaire that includes the variables Community Social Capital, farmer welfare, farmer characteristic development, and farming productivity. Data analysis was carried out using path analysis through Structural Equation Modeling-Partial Least Square (SEM-PLS). The results showed that Community Social Capital and farmer characteristic development have a significant positive influence on farmer welfare and farming productivity in farmer groups. This indicates that increasing community social capital and developing farmer characteristics, such as knowledge, skills, and innovation, can contribute to improving welfare and agricultural production. This study highlights the importance of the role of Community Social Capital and the development of farmer characteristics in improving welfare and productivity of farming businesses.

Analysis of Policies and Implementation of Railway Crossing Regulations in Indonesia: A Multi-Stakeholder Approach to Enhance Compliance and Safety

This study examines the implementation of railway crossing regulations in Indonesia, employing a multi-stakeholder approach to enhance safety and compliance. Utilising a quantitative methodology, the research surveyed 500 respondents across various stakeholder groups. Structural Equation Modelling-Partial Least Squares analysis revealed that a multi-stakeholder approach significantly influences the effectiveness of regulation implementation (β = 0.68, p < 0.001). Inter-agency coordination emerged as the second most crucial factor (β = 0.55, p < 0.001), mediating the relationship between the multi-stakeholder approach and implementation effectiveness. The study also found a strong correlation between implementation effectiveness and regulatory compliance (β = 0.71, p < 0.001). Whilst community involvement and technology integration showed smaller influences, they remain significant contributors to implementation effectiveness. Notably, perceptions were consistent across stakeholder groups, indicating a shared understanding of key issues. The findings underscore the need for collaborative platforms in policy formulation and implementation, increased investment in technology and community engagement programmes, and adaptive regulatory frameworks that accommodate Indonesia's diverse contexts. This research contributes to the literature on transportation safety in developing countries and provides empirical evidence for policy reforms in railway crossing safety management in Indonesia.

Analysis of IoT Technology Utilization and Inventory Management System on Operational Efficiency and Visitor Experience at Tourism Destinations in Bandung

This study examines the impact of IoT technology utilization and inventory management systems on operational efficiency and visitor experience at tourism destinations in Bandung City. Employing a quantitative research approach, data were collected from 220 respondents using a structured questionnaire with a Likert scale (1–5). The relationships among variables were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings reveal that both IoT technology and inventory management systems significantly enhance operational efficiency, which in turn positively impacts visitor experience. IoT technology showed a stronger direct effect on visitor experience, while inventory management systems had a greater influence on operational efficiency. Operational efficiency also played a mediating role, linking technological and management practices to improved visitor satisfaction. These results highlight the importance of integrating advanced technologies and efficient management systems to enhance the competitiveness and service quality of tourism destinations. The study provides actionable insights for tourism stakeholders to prioritize technology investments and strategic planning for sustainable growth.

Analysis of the Impact of Digitalization of Financial Statements and Internal Control on Report Accuracy and Shareholder Trust in Public Companies in Indonesia

This study examines the impact of financial statement digitalization and internal control on report accuracy and shareholder trust in public companies in Indonesia. Employing a quantitative approach with 240 samples, data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings indicate that digitalization significantly enhances shareholder trust by improving the transparency and accessibility of financial information. Internal control emerges as a key factor in ensuring report accuracy, which indirectly strengthens shareholder confidence. The results underscore the need for public companies to integrate digital tools with robust internal controls to achieve high-quality financial reporting and foster stakeholder trust. This study contributes to the theoretical understanding of digitalization and governance while offering practical insights for improving corporate transparency in emerging economies.

Analysis of the Influence of Artificial Intelligence (AI), Machine Learning, and Data Analytics on Marketing Performance at Technology Start-Ups in Jakarta

The integration of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics has transformed marketing practices, especially in technology-driven sectors like start-ups. This study examines the influence of these technologies on marketing performance in technology start-ups in Jakarta using quantitative analysis. Data were collected from 150 respondents through a structured questionnaire and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings reveal that AI, ML, and Data Analytics each have significant positive impacts on marketing performance, with Data Analytics emerging as the strongest individual predictor. Moreover, the combined use of these technologies demonstrates a synergistic effect, amplifying their overall influence. These results highlight the critical role of technology integration in enhancing marketing efficiency, customer engagement, and return on investment. The study contributes to the theoretical understanding of technology adoption in marketing and provides actionable insights for start-ups aiming to leverage these tools for competitive advantage.

Influence of Machine Learning Algorithm, Demand Prediction, and Automation System in Responsive Inventory Management in Retail Industry in Central Java

This study investigates the impact of machine learning algorithms, demand prediction, and automation systems on responsive inventory management in the retail industry of Central Java. Using a quantitative approach, data were collected from 160 respondents through a structured questionnaire employing a Likert scale (1–5) and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings reveal that automation systems and demand prediction significantly and positively influence responsive inventory management, while machine learning algorithms exhibit a significant but negative relationship. Automation systems streamline processes and improve efficiency, and demand prediction enhances inventory alignment with market needs. However, challenges such as limited technical expertise and integration issues hinder the effective use of machine learning. These results underscore the importance of strategic technology adoption and provide practical insights for improving inventory management practices in the retail sector of developing regions.

The Influence of Financial Literacy, Risk Tolerance, and Investment Planning on the Accumulation of Capital in Indonesian Middle Class

This research examines the influence of financial literacy, risk tolerance, and investment planning on capital accumulation in middle-class households in Indonesia. Using a quantitative research design, data from 130 respondents were collected through a structured questionnaire and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results show that financial literacy, risk tolerance, and investment planning significantly contribute to wealth accumulation. Besides, risk tolerance partially mediates the effects of financial literacy, wealth accumulation, investment planning, and wealth accumulation. These findings underlined the importance of financial knowledge, strategic planning, and balanced risk-taking in the formation of financial well-being. The findings carry an important message for policymakers, financial institutions, and households in the design of relevant financial education programs and specific investment strategies.

The Effect of Circular Economy Implementation, Environmental Awareness, and Green Technology on Resource Efficiency in Manufacturing Industries in West Java

This study examines the effects of circular economy implementation, environmental awareness, and green technology adoption on resource efficiency in manufacturing industries in West Java. Using quantitative analysis, data were collected from 190 respondents through a Likert-scale questionnaire (1-5) and analyzed with Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings reveal that all three factors significantly enhance resource efficiency, with green technology showing the strongest impact. Circular economy practices optimize resource utilization, while environmental awareness fosters sustainable organizational behavior. The integration of these factors explains 62% of the variance in resource efficiency, highlighting the importance of an integrated approach to sustainability. The study provides actionable insights for policymakers and industry leaders to promote sustainable practices and adopt green innovations in manufacturing.

The Effect of Environmental Education and Plastic Waste Management on Ecological Awareness and Pollution Reduction in Jakarta

This study examines the impact of environmental education and plastic waste management on ecological awareness and pollution reduction in Jakarta. Employing a quantitative research design, data were collected from 190 respondents through a structured questionnaire and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results reveal that both environmental education and plastic waste management significantly enhance ecological awareness, which in turn drives pollution reduction. Plastic waste management also exhibits a strong direct effect on pollution reduction, highlighting its critical role in mitigating environmental degradation. These findings underscore the importance of integrating educational programs with effective waste management systems to foster sustainable urban development. The study provides actionable insights for policymakers, educators, and environmental practitioners in addressing Jakarta's pressing environmental challenges.

Examining Students' Learning, intention, and Attitudes towards accounting career

Purpose: The decision to pursue a profession in accounting and one's future performance in that sector can be significantly influenced by the objectives and attitudes of students. Students can increase their chances of success by focusing on their education and training when they have a clear goal for their accounting career, such as a preferred profession or industry. Employers might be won over by a candidate with a strong work ethic, a feeling of responsibility, and timeliness. This should help the students improve their perception of the accounting profession even further. Thus, the purpose of this study is to examine students' learning, intentions, and attitudes toward accounting career. Method: This study tested its research model using an online survey and a quantitative methodology. 141 university students in Oman provided the survey sample data. Employing the Structural Equation Modeling-Partial Least Squares (SEM-PLS) version 4.0 software, data analysis and hypothesis testing were conducted. Results: The result showed that the learning environment has a significant relationship with choosing an accounting career. Current knowledge seeking intention also have a substantial relationship with choosing an accounting career. However, the attitude of students does not affect choosing an accounting career. Originality / relevance: This study adds to the corpus of research by analyzing students' intentions and attitudes for a career in accounting. Accounting educators may use these findings to modify the current curriculum to better meet students' culturally compatible perspective on the accounting field.

Analysis of the Effect of Liquidity, Leverage, and Profitability on the Financial Performance of Companies in the Indonesian Capital Market

This study examines the influence of leverage, liquidity, and profitability on the financial performance of companies listed on the Indonesian Capital Market. A quantitative approach was utilized, involving 150 companies, with data measured using a Likert scale (1–5) and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings reveal that leverage and profitability significantly and positively impact financial performance, with profitability demonstrating the strongest effect. Liquidity also positively influences financial performance, albeit to a lesser extent. Collectively, the three variables explain 62% of the variance in financial performance, highlighting their interdependence and critical role in driving firm success. The study provides valuable insights for corporate managers and policymakers in emerging markets, emphasizing the importance of strategic financial planning to ensure sustainable growth.

Determinants of Generation Z Green Investment Interest: The Role of Social Media Platforms as Moderating Variables

Green investment interest is a response to increasing greenhouse gas emissions that have the potential to damage the sustainability of life on Earth. This study aims to analyze elements that can increase Generation Z's green investment interest in Malang City, with social media platforms as moderating variables. The study used quantitative methods with Cochran's Formula technique to identify a subset of 100 respondents from Within the study from four state universities in Malang City. Structural Equation Modeling-Partial Least Square is the test tool used in this study The significance between independent variables on green investment interest in Generation Z in Malang City was estimated through WrapPLS 7.0 software. The results showed that attitude, behavioral control, and green investment knowledge significantly positively affect green investment interest, while subjective norms are not positively insignificant to Generation Z's green investment interest. Social media platforms strengthen the relationship between attitude and knowledge of green investment interest. However, Generation Z's green investment interest in Malang City, which is influenced by subjective norms and behavioral control, cannot be strengthened by the existence of social media platforms.