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This study aims to explain and test hypotheses regarding the influence of customer experience and product variation on consumer purchase decisions at Mie Judes Sambi Kediri, with brand image as a mediating variable. This research uses an associative approach with a quantitative method. The sampling technique employed is purposive sampling, involving 100 respondents who are consumers of Mie Judes Sambi. Data were collected through questionnaires, observations, documentation, and literature studies. The analysis technique used is Structural Equation Modeling (SEM) based on Partial Least Square (PLS), processed using SmartPLS version 4.1.1.2, which includes testing the outer model, inner model, and hypothesis testing. The results of the study indicate that customer experience and product variation have a positive and significant effect on brand image and purchase decisions. Brand image also has a significant influence on purchase decisions. Furthermore, brand image is proven to significantly mediate the influence of customer experience and product variation on purchase decisions. These findings affirm that enhancing customer experience and providing product variations that align with consumer preferences play a crucial role in building a strong brand image, which ultimately impacts consumer purchase decisions at Mie Judes Sambi Kediri.

This study aims to analyze the financial performance differences of Bank Syariah Indonesia before and after the merger based on three key ratios: Financing to Deposit Ratio (FDR), Operational Expenses to Operating Income (BOPO), and Return on Assets (ROA). A comparative quantitative approach was applied using financial statement data from the 2017–2024 period, analyzed with normality tests and paired sample t-tests. The normality test results indicate that all data are normally distributed. The paired sample t-test reveals no significant difference in the FDR ratio before and after the merger, while significant differences are found in BOPO and ROA. These findings indicate that the merger affected the efficiency and profitability of the bank, but not directly the effectiveness of fund distribution. The study implies that Bank Syariah Indonesia needs to strengthen operational efficiency and asset management post-merger. Future researchers are encouraged to include non-financial variables and apply qualitative approaches to gain more comprehensive insights.

This study aims to explain and also prove the hypothesis regarding the effect of total asset turnover (TATO), debt to equity ratio (DER), current ratio (CR), and net profit margin (NPM) on profit changes in coal sub-sector companies listed on the Indonesia Stock Exchange in 2020-2021. The study uses quantitative research using purposive sampling techniques, the population is coal sub-sector companies and a sample of 32 financial reports from 8 companies in 2020-2023. The analytical techniques used are descriptive analysis, panel data estimation methods, classical assumption tests, t-tests (partial), F-tests (simultaneous), and coefficients of determination (R2). The results of the research that has been conducted, it can be concluded that total asset turnover partially does not have a significant effect on profit changes. The debt to equity ratio variable partially has a positive and significant effect on profit changes. The current ratio variable partially has a positive and significant effect on profit changes. The net profit margin variable partially has no effect on profit changes with. Simultaneously, the variables total asset turnover, debt to equity ratio, current ratio, and net profit margin influence changes in profit.

The purpose of this study is to identify the variables that affect profit growth.  Profit growth is the study's dependent variable, and premium income, claim payments, risk-based capital, and investment returns are its independent variables.  Information was gathered from insurance firms that were listed between 2019 and 2023 on the Indonesia Stock Exchange.  Ten businesses that satisfied specific requirements made up the study's sample.  To get a complete picture of the link between one variable and another, multiple linear regression analysis was employed as the study approach, with a 5% confidence level.  The factors Premium Income, Claim Payments, Risk-Based Capital, and Investment Returns all had a somewhat significant impact on Profit Growth, according to the partial test results. The factors Premium Income, Claim Payments, Risk-Based Capital, and Investment Returns all had a substantial impact on Profit Growth at the same time, according to the results of the simultaneous test.  It is anticipated that other businesses listed on the BEI will use the study's findings as a guide to focus more on financial ratios in order to boost their profits.

This study aims to examine the influence of competence, job placement, and work discipline on employee performance at the Samsat Office of Bima Regency. The research applies a quantitative approach using a survey method. Data were collected through questionnaires distributed to 30 civil servants selected using purposive sampling. The data analysis techniques include validity and reliability tests, multiple linear regression, t-test, and F-test. The results show that competence, placement, and work discipline each have a positive and significant influence on employee performance, both partially and simultaneously. The coefficient of determination indicates that 45.2% of the variance in performance is explained by the three variables. These findings suggest that improving employee competence through training, placing staff according to their skills, and consistently enforcing work discipline can enhance employee effectiveness and productivity. The study has important implications for human resource management in public institutions, particularly in improving service quality through better employee performance.

This study aims to analyze the application of differential costing and variable costing methods in making special order decisions at Batik Jumantara MSMEs. The method used is quantitative descriptive with a case study approach in the period 2024. The results of the study indicate that the differential costing approach is able to provide more accurate information on the evaluation of the benefits of special orders. By using the variable costing method, companies can separate fixed and variable costs, so that business decisions can be taken more effectively. These findings contribute to strengthening the managerial accounting system of MSMEs and increasing business efficiency and profitability.

The purpose of this study was to see how promotions and live streaming features impact the decision of Shopee users to purchase fashion products in the 2022 intake. This quantitative study involved 54 respondents from a population of 117 students selected through a simple random sampling method. Primary data were collected through online questionnaires and analyzed using multiple regression using SPSS. Validity, reliability, classical assumptions, and hypothesis tests were also conducted. The study shows that students of Economics Education, Sebelas Maret University, 2022 intake significantly choose fashion products because of promotions and Shopee's live streaming features. Promos are considered to be able to save consumer spending, thus increasing interest and enthusiasm for transacting through the Shopee application. Meanwhile, the live streaming feature makes it easier for consumers to see products directly, assess quality, and make purchases more practically. As for further researchers, it is recommended to add other variables (for example, consumer trust), compare with other e-commerce platforms, use mixed methods, analyze different user segments, and examine the long-term impact on brand loyalty.

This study aims to evaluate the extent to which service quality, store atmosphere, and the implementation of proactive strategies contribute to business strategy at CV MM Acing Jaya located in Pangkalpinang. This study uses a quantitative approach with data collection techniques through distributing questionnaires to 71 respondents consisting of customers and business partners of the company. Multiple linear regression analysis was used to test the research hypothesis consisting of three independent variables (service quality, store atmosphere, and proactive strategy) and one dependent variable (business strategy). The results showed that store atmosphere and proactive strategy had a positive and significant effect on business strategy, while service quality showed no significant effect. The findings suggest that the creation of a supportive store atmosphere and the implementation of responsive and innovative strategies are important factors in strengthening the competitiveness of ritel companies. This research provides a practical contribution for businesses in developing business strategies that are more adaptive and oriented to consumer needs.

This study centers on examining the impact of digital literacy, entrepreneurial characteristics, and competitive advantage on entrepreneurial success. In the rapidly evolving digital era, the ability to utilize information technology has grown to be a crucial aspect in supporting business activities, specifically for micro, small, and medium enterprises (MSMEs). This analysis employs a quantitative method using surveys aimed at MSME entrepreneurs. Multiple linear regression was conducted to analyze the relationship between independent variables and the dependent variable. The outcomes reveal that digital literacy, entrepreneurial characteristics, and competitive advantage have a positive and significant effect on entrepreneurial success. These findings suggest that enhancing digital literacy, entrepreneurial attitudes and behaviors, and strategies to build competitive advantage are key factors in achieving business success.

This study aims to optimize sales profit at the MSME Batagor Bandung Tarakan by applying the Simplex method in linear programming, supported by the POM-QM for Windows software. Profit optimization plays a crucial role in strategic decision-making, particularly in determining the optimal daily production quantities to enhance operational efficiency, maximize the use of raw materials, and meet market demand effectively. The Simplex method was chosen for its ability to solve linear optimization problems involving multiple constraints and variables, providing accurate mathematical solutions to achieve maximum profit. This research utilizes daily production data as the basis for analysis, which is then processed using the Simplex method in POM-QM. The results show that implementing the Simplex method can increase daily profits from IDR 634,000 to IDR 831,408 through a more efficient production combination. The study concludes that the Simplex method, when applied via the POM-QM software, is an effective tool for daily production decision-making and can support MSMEs like Batagor Bandung Tarakan in improving their competitiveness and business sustainability.

Abstract. The background of this research is the rampant competition in the bus transportation business which is marked by the increasing number of bus transportation companies in several locations that are even close to each other, which results in customers being faced with a lot of choices. One of the famous transportation services in Blitar City is the Rosalia Indah bus. Ticket sales from PO Rosalia Indah are higher every day compared to other POs, such as PO Harapan Jaya. Therefore, transportation service companies compete with each other to attract consumers. This study aims to determine the effect of tariffs, accessibility, facilities and infrastructure on user interest. The population in this study were Rosalia Indah bus users, the sample of this study was 100 respondents. Sampling technique is nonprobability sampling  with the type of sampling, namely incidental sampling. The data analysis used in this study is descriptive analysis and quantitative analysis, the data were analyzed using multiple linear regression analysis with the help of  (software) Statistical Package For Social Science (SPSS) version 25. The results of the study by partially testing the t-test hypothesis showed that Rates, Accessibility, Facilities and Infrastructure have a positive and significant effect on increasing user interest.  Based on the research results, the regression equation model is Y = 1.821 + 0.424 + 0.263 + 0.178 + . the tariff variable with a regression coefficient of 0.424, the accessibility variable with a coefficient of 0.263, the variable of facilities and infrastructure with a regression coefficient of 0.178. From the regression equation, the tariff variable has the most dominant effect on increasing the number of users with an R2(R Square) test of 0.626 or 62.6% which means that user interest is influenced by tariff variables, accessibility, facilities and infrastructure, and other factors that influence Rosalia Indah bus user interest is 37.4% or 0.374.

This research investigates the impact of brand awareness and online customer reviews on purchase intention regarding Adidas products on the Shopee platform in Indonesia. The research background is founded on the growth of e-commerce and the intense competition present in Indonesia’s fashion industry. A quantitative method employing a survey approach was utilized, engaging 150 Shopee users who are familiar with Adidas products. Data analysis encompassed descriptive tests, classical assumption tests, multiple linear regression, hypothesis testing, and the coefficient of determination, all performed using SPSS version 27. The results demonstrate that brand awareness and online customer reviews have a positive and significant effect on consumer purchase intention, both individually and collectively. These findings imply that greater brand awareness and the quality of reviews are associated with an increase in purchase intention for Adidas products on Shopee. This research offers insights for Adidas Indonesia regarding the significance of enhancing brand awareness and fostering authentic reviews through exclusive promotions, review incentives, and the use of the “Verified Purchase” feature. Future research should be encouraged to integrate additional variables such as price and product quality for a more comprehensive analysis

MSMEs play a key role in the national economy, especially in increasing economic growth and creating new jobs. However, in the digital era, MSMEs face major problems, such as low levels of digital literacy, limited access to the internet, and fierce competition with large companies that have used technology before. This study examines the variables that influence the sustainability of MSMEs amidst digital challenges and finds methods that can be used so that MSMEs can survive and grow. The research method was carried out through surveys and direct interviews with MSME actors at Pasar Pagi Setia Budi, Medan, North Sumatra. The results of the study showed that most MSME actors did not utilize digital platforms for marketing and transactions, which resulted in decreased income. To increase competitiveness, MSMEs need to improve their digital knowledge, adopt online marketing strategies, and optimize the use of e-commerce and social media. Support from the government, financial institutions, and technology companies is also very important. In the increasingly competitive digital era, by implementing the right digitalization strategy, MSMEs can improve operational efficiency, expand market reach, and maintain the sustainability of their business.

This research aims to explore how price and product quality influence purchasing decisions for Y.O.U cosmetics at Panda Lovely Jombang. Given the rapid growth of Indonesia's cosmetics market, Y.O.U has emerged as a local brand offering quality products at competitive prices. Panda Lovely, with its numerous branches across Java Island, is one of Y.O.U’s primary distributors. The study adopts a quantitative approach using associative methods, with data collected through questionnaires from 100 Panda Lovely Jombang customers. Multiple linear regression analysis was employed to examine the relationship between independent variables (price and product quality) and the dependent variable (purchase decisions). The findings reveal that both price and product quality, individually and combined, significantly impact purchasing decisions. Key factors influencing consumer choices include affordability, the alignment of quality with expected benefits, and product durability. This research offers valuable insights for both Panda Lovely managers and Y.O.U producers to refine marketing strategies that cater to consumer needs and preferences.

This study models the inflation rate in Sumatra using Generalized Linear Models (GLM) with Gamma and Negative Binomial distributions. The data includes inflation rates, Consumer Price Index (CPI), poverty rates, and employment sectors from the 2019 BPS report. The results show that the Gamma model performs better in predicting inflation compared to the Negative Binomial model, with a lower AIC value and smaller residual deviance. The CPI variable significantly influences inflation, while other variables are not significant.

Social and economic welfare reflects the quality of life in a region and is influenced by local social, economic, and environmental factors. East Java, as the second most populous province in Indonesia, faces challenges in improving the welfare of its residents, particularly due to varying regional characteristics such as employment, education, and population demographics. To understand the patterns of interrelationships among factors affecting welfare, this study conducted a klaster analysis to group regions based on similar characteristics. The klaster analysis employed both hierarchical (complete linkage) and non-hierarchical (K-means) approaches to determine the optimal number of klasters. The results revealed that the level of diversity across regions in East Java tends to be homogeneous in social and economic aspects, with average values exceeding standard deviations. Assumption tests for the klaster analysis confirmed that the data met the assumptions of multivariate normal distribution and dependency.Through hierarchical (complete linkage) and non-hierarchical (K-means) klaster analysis, two main klasters were formed, dividing districts/cities in East Java based on welfare characteristics. Using the complete linkage method, 27 regions were grouped into klaster 1, and 11 regions into klaster 2, while K-means grouped 26 regions into klaster 1 and 12 regions into klaster 2. Out of the six variables used, one variable was found to be insignificant in influencing the klastering results. Based on the mapping results, the grouping aligns with similar criteria, where urban areas predominantly fall into one klaster, and the other klaster is dominated by rural areas.

This study aims to analyze the impact of education and training, motivation, and compensation on employee performance at Bank BNI Main Branch Yogyakarta. A quantitative method using survey and multiple linear regression analysis was employed. A sample of 75 respondents was selected using Slovin's formula from a population of 238 employees. The results indicate that all three variables significantly affect employee performance. Education and training enhance employee skills, while motivation drives employees to commit more to their work. Fair and competitive compensation contributes to employee satisfaction and productivity. This study provides valuable insights for organizations in developing employee-related policies. However, the research is limited to a single branch and employs a quantitative approach, suggesting the need for further studies with a qualitative approach and a broader sample size for more comprehensive results.

This study aims to determine how much influence Service Excellent and Relationship Marketing have on Customer Satisfaction of PT Bank Sumsel Babel Syariah KC Palembang. The population in this study amounted to 5239 customers with incidental sampling method using the formula obtained a sample of 100 respondents. This research uses quantitative methods, primary data which is then processed using IBM SPSS 25. The T test results show that service excellent has a significant effect on customer satisfaction, relationship marketing has a significant effect on customer satisfaction, service excellent and relationship marketing have a joint effect on customer satisfaction. Proven by the coefficient of determination of 63.8% while the remaining 36.2% is influenced by other variables.

The purpose of this study was to determine and analyze the effect of work experience and workload on employee performance at PT. Astra Honda Motor Unaaha. The location of this study was conducted at the showroom of PT. Astra Honda Motor Unaaha, which is located in Tumpas Village, Unaaha District, Konawe Regency. In this study, all populations were sampled, namely 30 employees. To measure the effect of work experience and workload on employee performance, a measuring instrument in the form of a questionnaire was used, the answer categories for questions using the Likert Scale. Work experience and workload have a significant effect on employee performance, this means that the more work experience and balanced workload will increase employee performance, where the partial test of the work experience variable (X1) obtained a t significance of 0.001 smaller than 0.05, then partially the work experience variable (X1) has an effect on employee performance variables (Y). And the partial test on the workload variable (X2) obtained a t significance of 0.000, or a t significance of less than 0.05, so partially the workload variable (X2) has an effect on the employee performance variable (Y).

Damage that occurs to manufactured goods can occur due to several things, such as in the manufacturing process, in the packaging process or during the delivery process. To find out where when the goods were damaged and the factors causing the damage to the goods as well as the efforts made to reduce the damage to the goods, an investigation was carried out at the time of unloading the goods, to find out where the damage to the goods occurred so as not to harm the recipient of the goods if they received the goods in damage condition.Based on multiple linear regression analysis, the results obtained are Y = 3.133 + 0.044 X1, + 0.402 X2 + 0.299 X3 + . Partial test results of machine (X1), material (X2), man power (X3) have a positive and significant effect on damage goods. It is proven by the results of the comparison of the value of t count with t table and with a significant level comparison of 5% (0.05) where the machine variable t count (0.413) < t table (1.98609), material variable t count (3.142) > t table (1.98609), variable man power t count (2.990) > t table (1.98609). The R2 test of machines, materials and man power gave a significant effect on damage goods by 43.6%, while the remaining 56.4% was explained by other causes outside the model variables that were not examined.