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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 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.

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 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.

Heating, Ventilating, and Air Conditioning (HVAC) systems often suffer from significant energy wastage due to their inability to adapt to real-time environmental changes, leading to high operational costs. Although Proportional-Integral-Derivative (PID) controllers are widely used for their simplicity and reliability, they struggle to handle the complex dynamics of modern environments, requiring advanced optimization to enhance efficiency. This study aims to optimize PID controllers by integrating the Queen Honey Bee Migration (QHBM) algorithm to improve HVAC performance, energy efficiency, and adaptability. The research method employs an experimental approach that compares the performance of conventional PID controllers with PID controllers optimized using the QHBM algorithm under dynamic environmental conditions. The results show that the PID-QHBM system significantly outperforms the conventional PID system, achieving a rise time of 0.2649 seconds and a settling time of 1.6874 seconds with an almost negligible steady-state error of 9.4991e-08. Although it experiences a slight overshoot of 16.3810%, the system stabilizes quickly and maintains the target temperature efficiently. In contrast, the conventional PID controller exhibits slower response characteristics, with a rise time of 1.3730 seconds, a settling time of 2.5144 seconds, and a larger steady-state error of 0.0361. This study demonstrates that integrating the QHBM algorithm into PID controllers provides a more effective solution for real-time temperature control, offering substantial improvements in energy efficiency and system performance. The findings contribute to advancing intelligent HVAC control systems that can better adapt to environmental variations while minimizing operational costs.

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.

This study aims to analyze the effect of employer branding on the job interest of Generation Z in digital companies. The background of this research is based on the increasing competition among companies in attracting young talents, especially Generation Z, who have unique characteristics such as being highly adaptive to technology, prioritizing work-life balance, and having high expectations toward the workplace environment. Employer branding has become an essential strategy for companies to build an attractive and competitive image as an employer. This study employs a quantitative approach using a survey method. Data were collected through an online questionnaire distributed to 100 respondents from Generation Z who are seeking jobs or interested in working in digital companies. The sampling technique used was purposive sampling. Data analysis techniques include validity testing, reliability testing, simple linear regression analysis, and t-test. The results indicate that employer branding has a positive and significant effect on Generation Z’s job interest. This implies that the better the company’s image as an employer, the higher the interest of Generation Z to work in the company. This study suggests that digital companies need to strengthen their employer branding strategies to attract and retain young talents.

This study aims to analyze the influence of Relationship Marketing (X1), Service Quality (X2) and Brand Attachment (X3) on Member Loyalty (Y) at the Usaha Sejahtera Credit Cooperative. The sample used was 100 respondents, with the sampling method using non-probability sampling with simple random sampling technique. The initial analysis on the research instrument, by transforming ordinal data to interval data using the Method of Successive Interval (MSI) then the data was further analyzed using SPSS (Statistical Product and Service Solutions) version 31. The data analysis carried out was Validity Test, Reliability Test, Classical Assumption Test (Normality Test, Multicollinearity Test, Heteroscedasticity Test (Glejser Test), Linearity Test, Correlation, Multiple Linear Regression and Coefficient of Determination), Hypothesis Test (t test). The results of the study showed that Relationship Marketing (X1) partially had a significant effect on Member Loyalty (Y). Service Quality (X2) partially had a significant effect on Member Loyalty (Y). Brand Attachment (X3) has a partial and significant influence on Member Loyalty (Y).

This study examines the effectiveness of Assemblr Augmented Reality (AR) in improving English vocabulary mastery among deaf students in an inclusive classroom setting. The research was conducted at SD N 2 Bengkala using a quantitative pre-experimental design with a one-group pre-test and post-test approach. The participants were Grade 5 deaf students selected through purposive sampling. Data were collected using a researcher-developed vocabulary test consisting of 15 items, which was validated through expert judgment and demonstrated high reliability (Cronbach’s Alpha = 0.815). Descriptive statistical analysis revealed a substantial improvement in students’ vocabulary scores, with the mean increasing from 45.00 in the pre-test to 76.50 in the post-test. The minimum score improved from 40 to 73, and the maximum score increased from 50 to 80. Inferential analysis using the Wilcoxon Signed-Rank Test showed a significance value of 0.180, indicating no statistical significance due to the small sample size. However, the observed improvement indicates strong practical significance. The findings suggest that Assemblr AR enhances vocabulary learning by providing visual and interactive learning experiences that support deaf students’ cognitive processing. This study highlights the potential of AR technology as an effective instructional medium in inclusive education environments.  

The rapid development of digital media has increased the complexity of health information flows and triggered the spread of misinformation, thereby requiring service personnel to be prepared to manage information critically. However, studies specifically examining the relationship between digital media literacy and readiness to handle health hoaxes among non-medical frontliner staff remain limited. This study aims to analyze the relationship between digital media literacy and readiness in handling health-related hoaxes among frontliner staff at RSUD Welas Asih Bandung. A quantitative approach with a survey method was employed, involving 243 respondents selected through a census sampling technique. Data were collected using a Likert-scale questionnaire and analyzed through validity, reliability, and Spearman’s Rank correlation tests. The results indicate that digital media literacy is at a high level, with digital safety (85.2%) and digital ethics (82.3%) as dominant indicators. Readiness in handling health hoaxes is also high, with gathering (78.6%) and planning (76.1%) as the highest indicators. The correlation test shows a positive and significant relationship with a coefficient of 0.794 (p<0.001), indicating a strong association. These findings suggest that improving digital media literacy significantly contributes to enhancing readiness in handling health hoaxes. Therefore, strengthening digital literacy is an important strategy to improve communication effectiveness and healthcare service quality.

The rapid development of social media, particularly Instagram, has transformed consumers’ information-seeking behavior and purchasing decision processes, making information quality in digital catalogs a crucial factor in visual-based marketing. However, studies examining information quality in Instagram-based digital catalogs for highly customized products remain limited. This study aims to analyze the relationship between the quality of digital catalog information and purchasing decisions on the @santflowersbouquet account. A quantitative approach with a survey method was employed, involving 95 respondents selected through purposive sampling. Data were collected using a Likert-scale questionnaire and analyzed through validity, reliability, and Spearman’s Rank correlation tests. The results indicate that information quality is categorized as high, with accuracy (92.6%) and timeliness (86.3%) as the dominant indicators. Purchasing decisions are also in the high category, with the time of purchase indicator reaching 96.8%. The correlation test shows a positive and significant relationship with a coefficient of 0.621 (p<0.001), indicating a strong association. These findings suggest that improving the quality of digital catalog information significantly contributes to enhancing purchasing decisions. Therefore, businesses are encouraged to optimize information quality as part of their digital marketing communication strategy.

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.

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 digital leadership, digital transformation, and circular economy practices on the economic performance of weaving SMEs and their contribution to the achievement of the Sustainable Development Goals (SDGs). This study employed a quantitative approach with an explanatory research design. Data were collected from 98 weaving SME owners or managers through questionnaires and analyzed using validity testing, reliability testing, classical assumption tests, and linear regression analysis. The findings show that digital leadership has a positive and significant effect on the economic performance of weaving SMEs. Digital transformation also has a positive and significant effect by expanding market access, improving operational efficiency, and strengthening customer relationships. In addition, circular economy practices have a positive and significant effect through resource efficiency, production waste reduction, and the creation of added value from residual materials. These findings indicate that the integration of digital leadership, digital transformation, and circular economy practices is a strategic approach to enhancing the competitiveness of weaving SMEs while supporting the achievement of the SDGs. This study contributes to the development of cultural-based SME studies by positioning digitalization and sustainability as key foundations for strengthening local economic performance.

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.

The rapid development of Artificial Intelligence (AI) has brought significant changes to the criminal justice system, particularly in criminal investigations and evidentiary processes, while simultaneously raising complex legal and ethical challenges. Objective: This study aims to analyze the legal implications of the use of AI in criminal investigations, focusing on its benefits, risks, and challenges related to the admissibility of AI-based evidence, as well as the need for regulatory frameworks that ensure fairness, transparency, and accountability. Methods: This research employs a normative qualitative approach through the analysis of legal regulations, a review of legal and technological literature, and a comparative approach across jurisdictions, complemented by case studies of AI applications in law enforcement practices. Results: The findings indicate that AI enhances investigative efficiency through data analysis, crime prediction, and digital forensics; however, it also poses risks such as algorithmic bias, human rights violations, and issues concerning the reliability and transparency of evidence. Furthermore, differences across legal systems result in the absence of uniform standards for the admissibility of AI-based evidence. Therefore, adaptive regulatory frameworks grounded in the principles of fairness, transparency, and accountability are required, along with strengthened human oversight to ensure that the use of AI aligns with the principles of justice and human rights protection.

This study aims to examine the influence of price, brand image, and product innovation on the level of customer loyalty of Honda motorcycles, especially in Purworejo Regency. The method used in this study is a quantitative approach with an explanatory design. Data collection was carried out by distributing questionnaires to 100 respondents with the following requirements: a minimum of 17 years old, domiciled in Purworejo Regency, have used or owned a Honda motorcycle for at least 1 year, and selected using a purposive sampling technique. Then the data obtained were analyzed using multiple linear regression with the help of IBM SPSS Statistics 25. Before being analyzed, validity and reliability tests were conducted to determine the instrument can be used and a classical assumption test was conducted to ensure that the regression model meets statistical requirements. The results of the research analysis simultaneously show that price, brand image, and product innovation have a significant influence on customer loyalty. However, this is different from the partial test which indicates that only brand image has a significant influence in shaping customer loyalty. Brand image was also found to be the most dominant factor in increasing the tendency to repurchase, resistance to competing brands, and positive customer recommendations.

The purpose of this study is to examine how online promotion, product innovation, and brand image affect product competitiveness in Batam City's flower bucket equipment industry (CV Acmeteam). This study employs a quantitative methodology, gathering information from 100 respondents via questionnaires using Simple Random Sampling with Slovin formula from a population of 135 active customers. Data were analyzed through validity tests, reliability tests (Cronbach's Alpha = 0.750), classical assumption tests (normality, multicollinearity, heteroscedasticity), multiple linear regression, partial t-test, simultaneous F-test, and coefficient of determination (R²). Results show that all questionnaire items are valid and reliable. The normality test (Asymp. Sig. = 0.866 > 0.05) indicates normally distributed data, and no multicollinearity (VIF < 10) or heteroscedasticity (Sig. > 0.05) was detected. Regression analysis reveals that online promotion (β = 0.521, Sig. = 0.041), product innovation (β = 0.668, Sig. = 0.033), and brand image (β = 0.458, Sig. = 0.049) each significantly influence product competitiveness. Simultaneously, all three variables are significant (F = 9.876, Sig. = 0.000) and explain 44.9% (R² = 0.449) of product competitiveness variance. Product innovation is the strongest predictor. This study concludes that strong brand image, continuous product innovation, and effective digital marketing are essential pillars for enhancing product competitiveness. Business actors must optimize these three elements to compete effectively in an increasingly open creative industry market.

This study analyzes the effect of pastry menu innovation and breakfast service on guest satisfaction at Hotel Indigo Seminyak Bali. The increasing competition in the hospitality industry requires hotels to continuously improve service quality and guest experience. Menu innovation and breakfast service are key factors that directly influence guest satisfaction, particularly through the overall dining experience during guests’ stay. This research used a quantitative descriptive approach with data collected through questionnaires, observation, and documentation from 120 respondents selected using purposive sampling. The data were analyzed using validity and reliability tests, classical assumption tests, multiple linear regression, t-test, and F-test with SPSS version 26. The results show that menu innovation has a positive and significant effect on guest satisfaction (p < 0.05). Breakfast service also has a positive and significant effect on guest satisfaction (p < 0.05). Simultaneously, both variables significantly influence guest satisfaction (F = 41.701). Among the two variables, breakfast service is the most dominant factor affecting guest satisfaction. These findings indicate that improving menu innovation and breakfast service can enhance guest satisfaction and strengthen competitiveness in the hospitality industry.

This study aims to determine the effect of product availability, communication effectiveness, and promotional strategy on sales volume at PT.Distribusindo Cemerlang Jaya, a cosmetic and skincare distribution company in Batam city. The background of this research is based on pre-survey result indicating suboptimal sales volume along with operational challenges including stock shortages, communicatiob gaps, and limited promotional activities.ths research employs a quantitative method. The population consist of all comsumers, with a sample of 43 respondent selected using a saturated sampling technique. Data were collected through questionnaires using a likert scale and analyzed using validity and reliability test, classical assumption tests, multiple linear regression, t-test, F-test, and coefficient of determination (R²) with SPSS. Result show that partially, product availability does not significantly affect sales volume (sig. 0,313 > 0,05), and communication effectiveness also does not significantly affect sales volume (sig. 0,898 > 0,05). However, promotional strategy has a positive and significant effect  on sales volume (sig, 0,000 < 0,05). Simultaneously, all three variables significantly affect sales volume (F = 212.642, sig. 0,000 < 0,05). The coefficient of determination (R²) is 0,942 indicating that 94,2% of the variation in sales volume is explained by the three independent variables. Promotional strategy is the most dominant factor influencing sales volume is explained by the three independent variables. Promotional strategy is the most dominant factor influencing sales volume at PT.Distribusindo Cemerlang Jaya.