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The implementation of predictive maintenance supported by SAP Plant Maintenance (SAP PM) at PT Xyz has proven to be effective in reducing machine downtime, lowering maintenance costs, and improving asset reliability. The integration of SAP PM with Industry 4.0 technologies such as IoT sensors, AI-based analytics, and real-time notification systems strengthens operational efficiency and ensures continuous performance. Empirical results show improvements in key performance indicators, including a 20-25% reduction in downtime, a 30% reduction in maintenance costs, an increase in asset availability to 97%, an MTBF extension of up to 511 hours, and an OEE rate of 92.1%. These findings highlight the strategic role of digital predictive maintenance in increasing competitiveness and supporting long-term sustainability in manufacturing operations.

This study aims to analyze the influence of influencer marketing, brand image, and e-WOM on purchasing decisions on the Shopee marketplace. A quantitative descriptive approach was used, involving 204 Shopee consumers who had previously purchased specific products. They were selected using purposive sampling based on Jacob Cohen's calculation guidelines to ensure the sample accurately represented the population. Data were collected through a questionnaire, which was then analyzed using validity and reliability tests, classical assumption evaluation, multiple linear regression, and hypothesis testing using t-tests and F-tests. The regression analysis showed that influencer marketing had a 34.8% influence on purchasing decisions, brand image contributed 32.7%, and e-WOM had an influence of 20.0%. Furthermore, the coefficient of determination (R²) showed that these three variables together explained 86.9% of the variation in consumer purchasing decisions. The t- and F-tests confirmed that each variable had a significant and positive influence, both partially and simultaneously, on purchasing decisions on the Shopee marketplace.

Nursing services are a fundamental part of the hospital service system because nurses interact frequently with patients, particularly in inpatient rooms. The quality of nursing services significantly impacts patient satisfaction. This study aims to determine the relationship between the quality of nursing services and patient satisfaction in the inpatient rooms of UMMI Hospital Bogor. This study used a correlational analytical research design with a cross-sectional approach. The population in the study were 1,944 inpatients at UMMI Hospital Bogor. The sample calculation used the Slovin formula with a simple random sampling technique and obtained 332 respondents. The research instrument for the quality of nursing services was based on the five dimensions of SERVQUAL (tangible, reliability, responsiveness, assurance, and empathy) and a patient satisfaction questionnaire. Data analysis was performed univariately and bivariately using the Chi-Square Test statistic. The results showed that the majority of respondents rated the quality of nursing services as good, namely 214 people (64.5%), while respondents who rated the quality of nursing services as poor were 118 people (35.5%). Patient satisfaction results revealed that of the 332 respondents, the majority (230 people or 69.3%) expressed satisfaction, while 102 (30.7%) expressed dissatisfaction. The statistical test results showed a p-value of 0.000 (p < 0.05). The conclusion of this study is that there is a significant relationship between the quality of nursing services and patient satisfaction in inpatient wards. Therefore, continuous improvement in the quality of nursing services is necessary to enhance patient satisfaction and the quality of hospital services.

This study is motivated by the growing public demand for reliable and high-quality public transportation services such as the Trans Solo Bus on corridor 4. The purpose of this research is to analyze the influence of Facilities, Innovation, and Service Quality on User Interest, both partially and simultaneously. This study employs a quantitative method with a sample of 100 respondents who are users of the Trans Solo Bus on corridor 4. Data were collected through questionnaires and analyzed using IBM SPSS Statistics through several tests, including validity, reliability, normality, multicollinearity, heteroscedasticity, multiple linear regression, t-test, F-test, and coefficient of determination (R²). The results revealed that Facilities, Innovation, and Service Quality significantly influence User Interest, either individually or simultaneously. These findings imply that improving facilities, implementing continuous innovation, and ensuring high service quality can increase public interest in using Trans Solo Bus services, thus supporting the development of sustainable urban transportation.

This study was conducted to systematically explore the influence of the level of ease of transactions and the quality of e-commerce services on the process of determining consumer purchasing decisions in Batam City. The research framework was built with a descriptive-oriented quantitative approach through the involvement of 100 respondents who actively utilize digital transaction services, which were determined using a purposive sampling technique based on the Lemeshow formulation to ensure the adequacy and representativeness of the sample. Empirical data were collected through a structured questionnaire and then processed using statistical analysis stages that included testing the validity and reliability of the instrument, evaluation of classical assumptions, multiple linear regression modeling, and verification of hypotheses through t-tests and F-tests. The results of data processing revealed that the variable of ease of transactions contributed 18.8% to purchasing decisions, while service quality contributed an influence of 63.5%. The coefficient of determination (R²) reaching 73.3% indicates that both independent variables simultaneously have substantial explanatory power towards variations in consumer purchasing behavior. Both partial and simultaneous testing confirmed a significant influence, thus confirming that simplifying transaction mechanisms and strengthening digital service quality are strategic determinants in driving e-commerce consumer purchasing decisions in Batam City.

This study aims to examine the factors that influence consumer purchasing decisions for Nacific products in Batam City, with an emphasis on the role of digital marketing, E-WOM, and brand image. The research approach used is descriptive quantitative involving 204 respondents who have purchased Nacific products, selected through purposive sampling techniques based on Jacob Cohen's calculations to ensure the adequacy and representativeness of the sample. Data collection was carried out using a structured questionnaire, then analyzed through a series of statistical procedures including validity and reliability tests, classical assumption testing, multiple linear regression analysis, and hypothesis testing using t-tests and F-tests. The findings of the regression analysis revealed that the influence of digital marketing on purchasing decisions was recorded at 21.9%, E-WOM at 27.0%, and brand image at 34.0%. The coefficient of determination value of 0.722 confirms that digital marketing, E-WOM, and brand image simultaneously contribute 72.2% in explaining purchasing decisions. The results of the t-test and F-test indicate that digital marketing, e-WOM, and brand image each have a positive and significant influence on purchasing decisions, both partially and simultaneously.

This study aims to analyze the effect of Brand Image, Product Quality, and Promotion on Purchase Decisions of Crocs sandals in Batam City. The research employs a quantitative approach using a survey method. Data were collected through questionnaires distributed to 119 respondents who are consumers of Crocs products in Batam City. The data analysis techniques include validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-test, F-test, and coefficient of determination analysis, using SPSS version 26. The results indicate that Brand Image and Product Quality have a positive and significant effect on Purchase Decisions. Meanwhile, Promotion shows a positive but insignificant effect on Purchase Decisions. Simultaneously, Brand Image, Product Quality, and Promotion have a positive and significant effect on Purchase Decisions. The Adjusted R Square value of 0.905 indicates that 90.5% of the variation in Purchase Decisions can be explained by the three independent variables, while the remaining 9.5% is influenced by other factors not examined in this study. This research is expected to provide insights for companies in formulating more effective marketing strategies, particularly in strengthening brand image and improving product quality.

The rapid development of AI-assisted programming has encouraged the emergence of vibe coding, an approach to software development in which developers focus more on formulating intentions, contexts, and constraints through prompts rather than writing code manually. However, existing evaluations of AI-generated code still tend to emphasize functional correctness and productivity, and therefore have not fully addressed the relationship between user intent, technical code reliability, and developers’ understanding of the generated artifacts. This study aims to propose a new evaluation method called TD-VCEM (Three-Dimensional Vibe Coding Evaluation Method) to assess vibe coding practices in a more comprehensive and auditable manner. The proposed method consists of three primary dimensions: Intent Alignment to evaluate the conformity of code with prompt requirements, Code Reliability to assess the technical quality of the generated code, and Developer Cognition to measure developers’ understanding of AI-generated code. TD-VCEM is designed through several stages, including prompt decomposition, prompt-to-code traceability matrix, code reliability assessment, and developer cognition evaluation. Each dimension employs indicator-based scoring rubrics normalized on a scale of 0–100, enabling the construction of a Vibe Coding Evaluation Score (VCES). This study does not present empirical experimental results; instead, it offers a methodological framework that can serve as a foundation for evaluating AI-generated code in modern software engineering environments. The proposed TD-VCEM is expected to improve review process transparency, reduce security risks, strengthen software maintainability, and ensure that developers maintain control and understanding of AI-generated code artifacts.

This study aims to analyze the influence of Corporate Social Responsibility (CSR) programs on community welfare. The research employs two variables, namely Corporate Social Responsibility as the independent variable and Community Welfare as the dependent variable. The population of this study consists of residents in Sidomulyo Village, with a sample of 97 respondents selected using a purposive sampling technique. Data were collected through questionnaires and interviews using a Likert scale that had been tested for validity and reliability. The data analysis method applied in this research is simple regression analysis. The results indicate that Corporate Social Responsibility has a positive and significant effect on community welfare. This finding suggests that well-implemented CSR programs contribute to improving the quality of life, increasing income, strengthening social relationships, and enhancing access to education and health services. Furthermore, CSR programs also support sustainable community development by empowering local communities and improving social and economic conditions. Therefore, CSR plays a strategic role in fostering long-term welfare and development within the community.

Telemedicine is a technology-based healthcare innovation that can improve access and efficiency. The quality of service provided by human resources (HR) plays a crucial role in determining patient satisfaction. This study aims to analyze the influence of HR service quality on patient satisfaction among telemedicine users. The method used was a literature review using a qualitative descriptive approach through analysis of scientific articles from various databases published between 2020 and 2025. The results indicate that HR service quality significantly influences patient satisfaction, particularly through aspects of reliability, responsiveness, assurance, empathy, and effective communication. Patient satisfaction is also influenced by ease of access, time efficiency, and trust in the services provided. However, limitations such as the lack of in-person physical examinations remain a challenge in the implementation of telemedicine. Therefore, improving HR competency, particularly in digital communication and technology utilization, is essential to improving the quality of telemedicine services. Therefore, HR service quality is a key factor in increasing patient satisfaction and the successful development of digital healthcare services.

This study aimed to examine the influence of promotional strategies and user-friendliness on consumer purchasing decisions on the ShopeeFood platform in Batam City. The research used a descriptive quantitative approach, involving 100 actively transacting respondents, selected through purposive sampling based on Lemeshow's calculation guidelines to ensure sample representativeness. Data were collected through a structured questionnaire and analyzed using a series of validity and reliability tests, classical assumption checks, multiple linear regression, and hypothesis testing using t- and F-tests. The research findings indicated that promotions contributed 42.4% to purchasing decisions, while user-friendliness contributed 26.0%. The coefficient of determination (R²) of 78.9% confirmed that these two variables collectively explained most of the variation in purchasing behavior. The results of the t- and F-tests confirmed that promotions and user-friendliness had a significant influence, both partially and simultaneously, emphasizing the importance of integrating effective digital marketing strategies and an intuitive application interface to drive consumer decisions on ShopeeFood in Batam City.

This study aims to explore the extent to which brand image, product quality, and trust influence purchasing decisions for Pixy two-way cake through the Blibli platform in Batam City. The approach used is quantitative descriptive, involving 100 consumers who previously purchased Pixy two-way cake on Blibli, selected through purposive sampling with Lemeshow calculation guidelines to ensure sample representativeness. Data collection was conducted using a questionnaire, then analyzed through validity and reliability tests, classical assumption evaluation, multiple linear regression, and hypothesis testing using t-tests and F-tests. The results of the regression analysis indicate that brand image has a 24.7% influence on purchasing decisions, product quality contributes 34.0%, and trust plays a role of 29.2%. Furthermore, the coefficient of determination (R²) shows that these three variables collectively explain 74.0% of the variation in purchasing decisions. The t-test and F-test confirm that the influence of each variable is significant and positive, both partially and simultaneously, on consumer purchasing decisions at Blibli in Batam City.

This study aimed to uncover the extent to which eWOM, perceived brand image, and platform ease of use influence consumer purchasing decisions for Skintific moisturizer on Tokopedia. The method employed was descriptive quantitative, selecting a sample of 96 consumers who had purchased Skintific products, using a purposive sampling technique based on the Lemeshow formula to ensure representativeness. Data were collected through a questionnaire and then analyzed using a series of tests including validity, reliability, classical assumption checking, multiple linear regression, and hypothesis testing using t- and F-tests. The analysis showed that eWOM contributed 13.9% to purchasing decisions, brand image 23.4%, and ease of use 46.1%. The coefficient of determination (R²) of 75.4% indicates that these variables collectively explain most of the variation in purchasing decisions. The t- and F-tests confirmed a positive and significant influence, both individually and simultaneously, on consumer purchasing behavior on Tokopedia.

This study aimed to examine the extent to which trust, perceived security, and ease of use of the GrabFood platform influence consumer transaction decisions in Batam City. The method used was descriptive quantitative, involving 204 respondents who had made purchases through GrabFood, selected through purposive sampling based on Jacob Cohen's formula to ensure representative results. Data were collected using a questionnaire and analyzed through a series of procedures, including validity and reliability testing, classical assumption checking, multiple linear regression, and hypothesis testing using t-tests and F-tests. The study findings revealed that trust contributed 22.0%, security 38.9%, and ease of use 23.2% to purchasing decisions. The coefficient of determination (R²) of 65.6% confirmed that these three factors simultaneously explained a significant portion of the variation in consumer purchasing behavior. Furthermore, t-tests and F-tests confirmed a positive and significant influence, both individually and collectively, on consumer decisions to use GrabFood.

This study aims to comprehensively examine the role of brand image, trust, and promotional intensity in shaping purchasing decisions for Maybelline two-way cake cosmetic products in Batam City. The implemented research design adopted a descriptive quantitative approach involving 204 participants who had actual experience in purchasing the product in question. Respondents were determined through purposive sampling technique based on Jacob Cohen's calculations to ensure empirical representativeness of the research sample. Primary data were collected through the distribution of structured questionnaire instruments, then processed and analyzed using hierarchical statistical stages that included testing the validity and reliability of the instrument, verification of classical assumptions, multiple linear regression modeling, and hypothesis testing through partial (t) and simultaneous (F) tests. Empirical findings indicate that brand image contributes 23.9% to purchasing decisions, trust influences 39.1%, while promotion contributes the most dominant influence at 14.7%. The coefficient of determination (R²) value of 82.9% indicates that the three independent variables are simultaneously able to explain variations in consumer purchasing decisions in a substantial proportion. The results of both partial and simultaneous tests confirm a positive and significant influence between brand image, trust, and promotion on purchasing decisions for Maybelline cosmetics in Batam.

This systematic literature study conducts a comparative analysis of Reliability-Centered Maintenance (RCM) and Total Productive Maintenance (TPM) in manufacturing, and proposes an integrated hybrid model. The research concludes that RCM and TPM are fundamentally distinct methodologies: RCM excels in risk-based, analytical management of complex, high-criticality assets, while TPM is superior for achieving broad-based productivity gains and cultural empowerment through total employee involvement. The effectiveness of each approach is contingent upon factors such as asset characteristics, organizational culture, data availability, and level of automation. To leverage their complementary strengths, the study proposes the Synergistic RCM-TPM Hybrid Model (SRTHM). This framework advocates for a sequential implementation where TPM establishes the foundational operational stability, discipline, and data culture, upon which selective RCM analysis is applied to critical assets for precision risk management. The model incorporates explicit feedback mechanisms to create a continuous organizational learning cycle. The study provides a contingency framework for methodology selection and a practical roadmap for integration, offering theoretical and practical guidance for building more resilient and context-appropriate maintenance systems in modern manufacturing.

Hydrogen-based hybrid microgrid systems have emerged as a promising solution to enhance renewable energy integration and improve energy supply reliability. By combining renewable sources such as solar and wind with hydrogen production and storage technologies, these systems address the intermittency of renewable power while ensuring continuous energy availability. This study evaluates the techno-economic feasibility, environmental impact, and scalability of hydrogen-based hybrid microgrids, with a focus on cost-effectiveness and system performance under varying operating conditions. Simulation tools, including HOMER Pro and MATLAB Simulink, are used to model the system and conduct sensitivity analyses on hydrogen production costs and demand fluctuations. Key performance indicators such as Levelized Cost of Energy (LCOE), Net Present Value (NPV), and CO₂ emissions reduction are assessed. The results show that although the system requires a high initial investment, it becomes economically viable over time due to reduced operational costs and improved efficiency. Additionally, the system demonstrates significant environmental benefits, outperforming conventional fossil fuel-based systems in terms of emissions reduction. Sensitivity analysis further indicates that advancements in hydrogen production technologies could substantially enhance economic feasibility. Overall, hydrogen-based hybrid microgrids offer a reliable and low-carbon energy solution, supporting sustainable energy transitions and reducing dependence on fossil fuels.

This research aims to examine the influence of Brand Awareness, Social Media Marketing, and Online Customer Reviews on the purchasing decisions of Hijab Azzura among the community of Garu II Harjosari I Medan Amplas. This study uses a quantitative research method with a questionnaire research design. The subject of this research is Hijab Azzura, and the object of the study is consumers who purchase Hijab Azzura, totaling 97 respondents. Data collection techniques include observation, questionnaires, and documentation. Data analysis techniques involve validity tests, reliability tests, and classical assumption tests. The data analysis method used is multiple linear regression with the assistance of SPSS 25 software. The t-test results show that Brand Awareness has a positive effect on purchasing decisions. Social Media Marketing has a positive effect on purchasing decisions. Online Customer Reviews also influence purchasing decisions. The F-test results indicate that Brand Awareness, Social Media Marketing, and Online Customer Reviews simultaneously affect the purchasing decisions of Hijab Azzura among the community of Garu II Harjosari I Medan Amplas, with an F calculated value of 12.781 > F table value of 2.700, and a significance value of 0.000 < 0.05. The adjusted coefficient of determination (R Square) is 0.292, meaning that 29.2% of the dependent variable can be explained by the independent variables, while the remaining 70.8% is explained by other variables outside the ones studied.    

This study aims to determine the relationship between body shaming and students’ self-confidence at SMPN 22 Kota Jambi. This research used a quantitative approach with a correlational design. The population consisted of 508 students, with a sample of 224 students selected using simple random sampling. Data were collected using a Likert-scale questionnaire that had been tested for validity and reliability. The results showed that the level of body shaming was in the low category (32.11%), while self-confidence was in the high category (63.86%). The Spearman correlation test indicated a negative and significant relationship (ρ = -0.282; p < 0.05), meaning that higher levels of body shaming are associated with lower self-confidence. These findings indicate that body shaming has a psychological impact on students, particularly in influencing their self-confidence in social interactions

This research is motivated by the increasing use of TikTok Shop as a social commerce platform that makes it easier for consumers to make purchases through interactive features and various price promotion strategies. This study aims to analyze the influence of ease of use and price perception on purchase decisions on TikTok Shop. The population in this study is students of the Management Study Program of the University of Muhammadiyah Makassar class of 2022–2025, with a sample of 95 respondents determined using the Slovin technique. The analysis method used is multiple linear regression supported by validity, reliability, and classical assumption tests. The results of the study show that ease of use and partial price perception have a positive and significant influence on purchase decisions on TikTok Shop. High ease of use can increase consumer convenience in transactions, while good price perception encourages consumers to make purchase decisions. The implications of this study show the importance of improving the quality of the system and pricing strategies in supporting consumer purchase decisions on social commerce platforms