Abstract:Patient satisfaction is a key indicator of health service quality and is closely related to loyalty, intention to repeat visit, and institutional reputation 1. Waiting time reflects the efficiency of the process and the…
responsiveness of services at the stages of registration, administration, and consultation which have a direct impact on the perception of quality and satisfaction 2. Literature review shows a consistent pattern: long wait times decrease satisfaction, while short, predictable wait times increase satisfaction, especially in outpatient services that have higher expectations of timeliness 3. Waiting longer than 60 minutes is associated with a significant decrease in satisfaction scores, making the management of wait time duration and variability crucial. Determining factors include queue design, health worker capacity, administrative complexity, and timeliness of doctors; Meanwhile, digital solutions (e.g. Mobile JKN) speed up the pre-visit and visit process and related to a 5.6 reduction in waiting time. This review summarizes the findings of 2015–2024, maps the determinants and mechanisms of the relationship between wait time and satisfaction, and offers managerial strategies for healthcare facilities in Indonesia and internationally 7
Abstract:The rapid development of digital financial technology has significantly transformed investment activities by providing easier access to financial markets through digital investment applications. This study aims to explore…
e the perceptions and experiences of beginner investors in making investment decisions in the digital era. Using a qualitative research approach with a phenomenological perspective, data were collected through semi-structured interviews with beginner investors who actively use digital investment applications. The collected data were analyzed using thematic analysis to identify patterns and themes related to investors’ experiences and decision-making processes. The findings reveal that investment decision-making among beginner investors is influenced by several interconnected factors, including the accessibility and usability of digital investment platforms, the influence of social media and online communities, the development of financial literacy, and psychological experiences related to investment gains and losses. Digital investment applications play a crucial role in lowering barriers to market participation by providing user-friendly interfaces and accessible financial information. However, reliance on social media as a source of investment information may also expose investors to misinformation and speculative investment behavior. In addition, emotional responses such as confidence, fear, and uncertainty often influence investment decisions among beginner investors. Overall, the study highlights that investment decision-making in the digital era is a multidimensional process shaped by technological accessibility, social influence, financial knowledge, and psychological factors. These findings contribute to a deeper understanding of investor behavior in digital financial environments and emphasize the importance of financial education and responsible investment practices.
Abstract:The rapid development of digital technology and social media platforms has significantly transformed consumer purchasing behavior, particularly in relation to digital products. Social media has evolved beyond its traditional…
onal role as a communication platform and now functions as an important environment where consumers discover, evaluate, and purchase products. This study aims to explore the psychological factors that influence consumer decision-making in purchasing digital products through social media platforms. A qualitative research approach was employed to gain an in-depth understanding of consumers' experiences and perspectives. Data were collected through semi-structured in-depth interviews with social media users who had purchased digital products based on information encountered on social media platforms. The collected data were analyzed using thematic analysis to identify patterns and themes related to consumer psychology in digital purchasing behavior. The findings reveal that consumer decision-making in purchasing digital products is influenced by several interconnected psychological and social factors. Five major themes emerged from the analysis: social media as a discovery environment, cognitive evaluation of digital products, trust formation and credibility cues, psychological motivations for purchasing digital products, and social influence from peers, influencers, and online communities. The results indicate that social media plays a significant role not only in introducing digital products but also in shaping consumer perceptions, trust, and purchase intentions. Consumers actively interpret information obtained from social media, evaluate product credibility through reviews and recommendations, and rely on social interactions to reduce uncertainty before making purchase decisions. This study contributes to the understanding of consumer psychology in digital environments by highlighting how psychological motivations and social influences interact within social media platforms to shape digital purchasing decisions. The findings also provide practical insights for digital marketers and product creators to design more effective strategies that emphasize authenticity, trust-building, and community engagement in promoting digital products.
Abstract:This research is motivated by the importance of building and maintaining customer loyalty at the Botani Bina Rahmah Sharia Rural Financing Bank (BPRS), a financial institution that plays a strategic role in strengthening…
the sharia-based economy and promoting financial inclusion at the micro level. The phenomenon of increasing account openings without a corresponding increase in customer retention indicates challenges in managing long-term relationships with customers. Trust and commitment are believed to be important factors in creating loyalty, but the effectiveness of both is often influenced by the level of customer satisfaction. Therefore, this study was conducted to analyze satisfaction as a mediating variable in the relationship between trust and commitment and customer loyalty. This study aims to analyze: (1) the effect of trust on customer loyalty, (2) the effect of commitment on customer loyalty, (3) the effect of trust on loyalty through customer satisfaction as a mediating variable, and (4) the effect of commitment on loyalty through customer satisfaction as a mediating variable. The research approach used is quantitative with a cross-sectional design. Data were collected by distributing Likert-scale questionnaires to 100 active customer respondents of BPRS Botani Bina Rahmah. Data analysis was carried out using Structural Equation Modeling–Partial Least Squares (SEM–PLS) with the help of SmartPLS software to test the validity and reliability of constructs and the relationships between variables in the structural model. The results of the study indicate that trust has a positive and significant effect on customer loyalty, while commitment does not have a significant direct effect on loyalty. Customer satisfaction is proven to act as a significant mediating variable in the relationship between trust and loyalty, as well as between commitment and loyalty. These findings confirm that BPRS customer loyalty is more influenced by the level of trust and satisfaction built through service quality and conformity to Sharia values. Practically, BPRS management needs to strengthen contract transparency, improve service consistency, and optimize digital channels to strengthen trust, increase satisfaction, and ultimately encourage sustainable customer loyalty.
Abstract:This research aims to examine and analyze the influence of brand image on the purchasing decisions of students at the Faculty of Economics, Nias University, in the context of online shopping. The background of this study…
stems from the rapid growth of e-commerce in Indonesia, which has significantly changed consumer shopping behavior, particularly among students who are highly adaptive to digital technology. In online shopping situations, where consumers cannot physically assess the product, brand image becomes one of the main factors influencing consumer trust, perceived quality, and confidence in making purchasing decisions. The type of research employed is quantitative research with a survey approach. The study population consisted of 1,959 active students of the Faculty of Economics, Nias University, with a sample of 95 respondents determined using the Slovin formula. Data were collected using a Likert-scale questionnaire covering brand image indicators (strength, favorability, and uniqueness of brand association) as well as purchasing decision indicators (problem recognition, information search, evaluation of alternatives, purchase decision, and post-purchase behavior). The data were analyzed using validity and reliability tests, simple linear regression analysis, t-test, and determination test with the aid of SPSS software. The results of the study indicate that brand image has a positive and significant effect on students' purchasing decisions in online shopping. This finding implies that the stronger the brand image, the higher the tendency of students to make online purchases. Therefore, companies or online businesses need to develop and strengthen their brand image through consistent marketing communication strategies, clear product information, and credible brand reputation to increase consumer loyalty and purchase intention.
Abstract:This study analyzes the financial condition of the Osseda Faolala Perempuan Nias Consumer Cooperative during the period January 2021–December 2024, focusing on the management of current assets, short-term liabilities, and…
and the repayment rate of member loans. Data were processed using descriptive statistics and simple linear regression to assess the cooperative's financial balance and factors influencing business growth. The classical assumption test showed that the regression model met the feasibility criteria, both in terms of normality and autocorrelation, thus the analysis results were reliable. The t-test results proved that working capital had a positive and significant effect on cooperative business growth with a significance value <0.05. The coefficient of determination (R² = 0.887) confirmed that 88.7% of the variation in business growth was explained by working capital management. This means that the more optimal the management of working capital—including current assets, short-term liabilities, and member loans—the higher the cooperative's chances of growth and development. In addition to strengthening the existing literature, this study is consistent with the findings of Winata et al. (2023) on manufacturing companies and Herawati (2023) on savings and loan cooperatives, both demonstrated the importance of working capital management to financial performance. However, these results differ from the research of Rezki Erdian et al. (2022) on the retail sector, which found that receivables had no significant effect on profitability. This difference indicates that the relevance of working capital is highly dependent on the institutional context. Overall, this study confirms that optimal working capital management is not merely an administrative issue, but a strategic factor determining cooperative business growth and improving welfare. member.
Abstract:This study aims to determine the Effect of Raw Material Inventory Management on Work Productivity of PT. KSS (Karunia Sejahtera Sejati) Nias Branch. The research method used is a quantitative approach. The sample in this…
study amounted to 31 respondents. Data collection techniques were carried out through the distribution of questionnaires and documentation. Data analysis techniques used simple linear regression analysis, classical assumption tests, coefficient of determination tests and t-tests with the help of the SPSS version 25 statistical application. The R2 Determination Test that has been carried out obtained the result that the R2 value is 0.620. This shows that the Raw Material Inventory Management variable (X) can explain Work Productivity (Y) by 62%, while the remaining 38% is explained by other factors not covered in this study. Based on the data analysis, it shows that simultaneously the Raw Material Inventory Management variable has a positive and significant effect on Work Productivity with a significance of 0.000 <0.05 and the T-value obtained is 6.877> 1.696 so that it can be concluded that Ha is accepted and has an effect on the dependent variable of Work Productivity (Y). The conclusion of this study is that the Raw Material Inventory Management variable partially or simultaneously has an effect on Work Productivity and it is recommended that PT. KSS (Karunia Sejahtera Sejati) provide increased competency and understanding of employees regarding inventory management that is very necessary so that they are able to carry out their tasks more efficiently and effectively, so that work productivity increases. Periodic training and socialization regarding inventory management and its relationship to work productivity must continue to be carried out.
Abstract:This study aims to analyze human resource policies to improve the quality of employee performance at the Population Control, Women's Empowerment, and Child Protection Service of Gunungsitoli City. The research focuses on…
three main objectives: (1) to determine the form of human resource policies implemented to improve performance quality, (2) to identify supporting and inhibiting factors in the implementation of these policies, and (3) to formulate appropriate strategies to improve employee performance. The research method used is a qualitative approach with data collection techniques through in-depth interviews, observation, and documentation. The results show that the implemented human resource policies include training and competency development, performance assessment based on work indicators, and a reward system and work discipline. Supporting factors for the implementation of these policies include leadership support, active employee participation, and the availability of a training budget. However, there are also inhibiting factors such as a lack of professional human resources, limited supporting facilities and infrastructure, and low work motivation among some employees. The strategies implemented to improve performance quality include strengthening supervision, developing a collaborative work culture, improving the quality of training, and regular evaluation of policy implementation. This study concludes that appropriate and consistent human resource policies play a crucial role in building more optimal employee performance within the service environment.
Abstract:This study aims to analyze the effects of competence, reward systems, and training on the performance of executive officers in Sharia Rural Banks (BPRS), with job satisfaction as an intervening variable. The primary focus…
s is to assess the extent to which these factors influence executive performance within the context of Islamic microfinance institutions. Employing a quantitative, explanatory design, primary data were collected via a Likert-scale questionnaire and analyzed using structural equation modeling–partial least squares (SEM–PLS) with SmartPLS. The study population consists of executive officers of BPRS in Indonesia. Using purposive sampling, 121 responses were obtained from multiple BPRS across several regions. The results show that (1) competence has a positive effect on performance; (2) job satisfaction positively affects performance; (3) the reward system influences performance primarily through job satisfaction (partial/competitive mediation), while its direct effect on performance tends to be negative; and (4) training does not exhibit a significant effect on performance, and its indirect path via job satisfaction is not significant. These findings highlight the importance of strengthening competence and redesigning reward systems in alignment with executive expectations to enhance job satisfaction and performance.
Abstract:In recent years, the housing market has faced significant challenges, including fluctuating prices and declining sales. To solve this issue, there was an increasing need for more sophisticated methods to predict housing…
prices accurately. This study aimed to provide real estate marketers with a tool to enhance their pricing tactics and mitigate the decline in home sales by predicting house prices using machine learning techniques. Several parameters were considered in this study, such as location, number of bedrooms, number of bathrooms, land area, building area, and number of carports. Linear regression and neural network methods were used to develop predictive models. The findings showed that the neural network method was more accurate than linear regression, which made it a better tool for real estate pricing strategies, with land area and number of carports being the most influential aspects in house price prediction.