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This study aims to examine the effect of profitability ratios, namely Earnings per Share (EPS), Net Profit Margin (NPM), Return on Assets (ROA), and Return on Equity (ROE), on the stock price of PT Ciputra Development Tbk during the 2016–2023 period. The research employs a quantitative approach with a causal research design using secondary data derived from quarterly financial statements and stock closing prices published by the Indonesia Stock Exchange. The data were analyzed using multiple linear regression, supported by classical assumption tests, partial hypothesis testing (t-test), simultaneous testing (F-test), and the coefficient of determination (R²). The results show that EPS, NPM, and ROA do not have a significant effect on stock prices, while ROE has a positive and significant effect. Simultaneously, all profitability variables do not significantly influence stock prices. The coefficient of determination indicates that profitability ratios explain a relatively small proportion of stock price variation, suggesting that stock prices in the property sector are influenced more by external and market-related factors than by short-term profitability indicators. These findings imply that ROE is the most relevant profitability indicator for investors in assessing property sector stocks, while other profitability ratios play a limited role.

This study aims to examine the influence of Social Media Marketing, Bundling Price, and Electronic Word of Mouth on Purchase Decisions for Spotify Premium, with Brand Awareness functioning as a mediating variable. A quantitative approach was applied using a survey method involving 120 Spotify Premium users in South Tangerang. The research instrument employed a Likert scale and was analyzed using Structural Equation Modeling with Partial Least Squares to evaluate validity, reliability, and causal relationships among variables. The results reveal that Social Media Marketing, Bundling Price, and Electronic Word of Mouth have positive and significant effects on both Brand Awareness and Purchase Decisions. Brand Awareness significantly mediates these relationships, strengthening the impact of digital marketing variables on subscription decisions. The findings demonstrate that consumer decision processes progress through attention, brand recognition, and conversion, shaped by exposure to digital content, perceived value of bundled pricing, and peer-generated reviews that reinforce trust and perceived service quality. This study highlights the importance of strategic and experience-driven digital marketing in increasing customer acquisition for subscription-based music streaming services.

This study aims to analyze the effect of price, promotion, and location on customer satisfaction at The Daily Wash Laundry Kediri. This research employs a quantitative associative approach to examine the causal relationship among variables. The sample consists of 170 respondents selected through purposive sampling. Data were collected using a five-point Likert scale questionnaire and analyzed through validity and reliability testing, classical assumption tests, and multiple linear regression analysis using SPSS version 26. The results show that price, promotion, and location each have a positive and significant effect on customer satisfaction. Simultaneously, the three variables significantly influence customer satisfaction with a determination coefficient value of 0.908, indicating that 90.8% of customer satisfaction variation can be explained by these variables. These findings indicate that a combination of appropriate pricing, effective promotion, and strategic location significantly enhances customer satisfaction in the modern laundry service industry.

This study aims to analyze the influence of profitability as proxied by Return on Equity (ROE), solvency as proxied by Debt to Equity Ratio (DER), and liquidity as proxied by Current Ratio (CR) on firm value as proxied by Price to Book Value (PBV) in the Indonesian food and beverage sector. The study focuses on the 2019-2023 period, a timeframe uniquely defined by the economic disruption of the COVID-19 pandemic and its initial recovery phase. The research method employed is a quantitative approach using multiple linear regression analysis. The sample consists of 10 companies listed on the Indonesia Stock Exchange (IDX), selected through a purposive sampling technique, resulting in 50 firm-year observations. The results indicate that both partially and simultaneously, the variables of profitability, solvency, and liquidity have a significant positive influence on firm value. This finding suggests that during a period of systemic crisis, the capital market places a valuation premium on companies that can demonstrate holistic and comprehensive signals of financial health. The novelty of this research lies in its contextualization of the dynamic role of financial ratios as crucial signals amidst an unprecedented economic shock. This study provides an empirical explanation for why investors prioritized stability and resilience, thereby reconciling conflicting findings in prior literature regarding the impact of liquidity on firm value.

This study aims to analyze the influence of price, service quality, and product quality on consumer satisfaction at Herbal Medicine MSMEs in Pare, Kediri. The research uses a quantitative associative approach to explain the causal relationship between variables. Data were collected through a questionnaire distributed to 133 respondents selected using accidental sampling. The instrument was tested for validity and reliability, followed by classical assumption tests to ensure data normality, linearity, and consistency. Data analysis employed multiple linear regression using SPSS version 25, with t-test and F-test used to examine partial and simultaneous effects, and the coefficient of determination (R²) to measure model strength. The results indicate that price, service quality, and product quality significantly influence consumer satisfaction, both partially and simultaneously. Service quality and product quality have a positive and dominant impact, while price shows a negative relationship, indicating that consumers remain sensitive to pricing changes. The model explains 76.4% of the variation in consumer satisfaction, confirming that maintaining service excellence and consistent product quality are key to improving satisfaction and loyalty among herbal medicine consumers.

This study aims to analyze the effect of Total Asset Turnover (TATO) on stock prices at PT Baramulti Suksessarana Tbk during the 2014–2023 period. TATO is an activity ratio that measures how efficiently a company utilizes its total assets to generate sales. This research employs a quantitative associative approach using secondary data obtained from the company’s annual financial statements published by the Indonesia Stock Exchange. Data were analyzed using simple linear regression to determine the relationship between the independent variable (TATO) and the dependent variable (stock price). The results show that TATO has a positive and significant effect on stock prices, with a correlation coefficient of 0.859 and a significance value of 0.001 (p < 0.05). This indicates that the more efficiently a company uses its assets to generate sales, the higher its stock price will be. The findings support the signaling theory and efficient market hypothesis, suggesting that asset efficiency serves as a positive signal for investors in evaluating firm performance.

This study aims to analyze the effect of price, green knowledge, and electronic word of mouth (eWOM) on purchase intention toward electric bicycles in Kediri City. A quantitative approach with a causal-comparative design was employed. Data were collected through an online questionnaire involving 112 respondents familiar with electric vehicle concepts, using purposive sampling. The validity and reliability tests confirmed that all research instruments were valid and reliable. Data analysis was performed using multiple linear regression with SPSS version 26. The results reveal that all independent variables have a positive and significant effect on purchase intention, with an R² value of 0.893. Among them, eWOM has the most dominant influence compared to price and green knowledge. These findings indicate that reasonable price perception, adequate environmental knowledge, and positive online reviews simultaneously enhance consumers’ purchase intention for electric bicycles. This study supports the Theory of Planned Behavior in explaining eco-friendly purchasing behavior and provides strategic implications for companies to apply value-based pricing, environmental education campaigns, and effective digital promotion strategies.

This study aims to examine the effect of Environmental, Social, and Governance (ESG) disclosure and energy price volatility on stock returns of energy sector companies listed on the Indonesia Stock Exchange (IDX) during the 2022–2024 period. A quantitative approach was employed using multiple linear regression as the analytical method. The sample consisted of 10 energy companies selected through purposive sampling, based on the availability of sustainability reports, stock price data, and research completeness. The results indicate that ESG disclosure has a positive and significant effect on stock returns, suggesting that companies with higher sustainability transparency tend to gain stronger investor confidence. Energy price volatility also shows a positive and significant effect on stock returns, reflecting the sector’s sensitivity to global energy price dynamics. Simultaneously, both variables significantly influence stock returns, although the relatively low coefficient of determination implies that other factors should also be considered. This study highlights the importance of integrating internal factors (ESG) and external factors (energy price volatility) for investors when making investment decisions in the energy sector.

This study aims to analyze the effect of Market Value Added (MVA), Price Book Value (PBV), and Total Asset Turnover (TATO) on stock prices of telecommunication subsector companies listed on the Indonesia Stock Exchange (IDX) during the period 2019–2023. The research employed a quantitative approach using multiple linear regression analysis. The sample consisted of three companies, PT Telkom Indonesia Tbk, PT Indosat Tbk, and PT XL Axiata Tbk, selected through purposive sampling. The results show that MVA and PBV have a significant positive effect on stock prices, while TATO has no significant effect. Simultaneously, MVA, PBV, and TATO significantly influence stock prices with a determination coefficient of 68.3%. These findings indicate that investors place greater emphasis on value-added and market perception indicators rather than asset efficiency in making investment decisions within the telecommunication subsector. This study provides practical implications for company management to enhance value creation through innovation and strategic asset management, as well as academic contributions to enrich the literature on stock price determinants in the Indonesian capital market.

This study aims to analyze the effect of Total Asset Turnover (TATO) and Debt to Equity Ratio (DER) on stock prices at PT Unilever Indonesia Tbk for the period 2014 to 2023. This research uses a quantitative approach with an associative type of research. The data used is secondary data obtained from the company's annual financial statements and the official website of the Indonesia Stock Exchange. The data analysis method used is multiple linear regression, preceded by classical assumption tests to validate the model. The results show that partially, DER has a significant effect on stock prices, while TATO does not have a significant effect. However, simultaneously, both TATO and DER have a significant influence on stock prices. This indicates that the company’s capital structure plays an important role in influencing stock value in the capital market. Therefore, it is recommended that company management be more prudent in managing debt and improving asset utilization efficiency to attract investors and maintain the company’s stock price stability in the market.

This study aims to analyze the superiority of Pegadaian products in competition between Branch Service Units (UPC) using the Competitive Profile Matrix (CPM) technique at UPC Karanglewas and UPC Alun-Alun Purwokerto. The approach used is descriptive qualitative through case studies, with data collection through in-depth interviews, observation, and documentation. CPM analysis is carried out by identifying key success factors such as service quality, product variety, price, promotion, ease of access, company reputation, and digital product innovation. The results of the study show that UPC Karanglewas has a stronger competitive position with a CPM score of 3.65 compared to UPC Alun-Alun Purwokerto which obtained a score of 3.25. The main advantages of UPC Karanglewas lie in a more complete product variety, ease of access, and digital innovation, while UPC Alun-Alun Purwokerto excels in promotion. This study recommends that each UPC strengthen product differentiation, increase digital service innovation, and optimize promotional strategies to strengthen competitiveness in the national pawn.  

The authors of the article have chosen a company acting as an agent for a container shipping line because the company seeks to decrease its service failures and reduce the chaotic nature of its activities by systematizing them from a scientific point of view and refining its operations at the managerial level. Employees of the company are responsible for activities such as a search for customers, price offers, contacting clients, the conclusion of contracts, coordination of cargo transportation, document control, invoicing and payment control. Proper execution of these operations ensures the quality of services provided by the container line agent. The learning organization concept, situational management theory and total quality management theory are applicable to the management of the personnel activity process in the line. In terms of management functions, planning is more suitable for activities such as searching for customers, price offers, conclusion of contracts and invoicing; organizing is more required when searching for customers, contacting them and concluding contracts; leading is more suitable for activities such as contact with clients, conclusion of contracts and payment control; control is more required when contacting customers, coordinating cargo transportation, invoicing and controlling payment. A conceptual approach that theoretically reveals the principles and possibilities of the company’s activities in the container shipping line can serve as the basis for future empirical research to identify problems in its personnel activity management.

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

Entrepreneurship plays a crucial role in economic growth, especially for small and medium enterprises (SMEs). One of the main factors for entrepreneurial success is the effective implementation of the marketing mix. This paper discusses the concept of the marketing mix in entrepreneurship by highlighting the 4P elements (Product, Price, Place, Promotion) which have evolved into 7P with the addition of People, Process, and Physical Evidence. The discussion includes the implementation of the marketing mix, strategies for facing business challenges, and its impact on competitiveness and business growth. This study highlights how entrepreneurs can optimize marketing elements through product innovation, value-based pricing strategies, the use of digitalization in distribution, as well as social media-based promotion and marketing technology. Additionally, this paper reviews various challenges in the implementation of the marketing mix, such as limited capital, intense competition, and changes in consumer behavior, as well as adaptation strategies through guerrilla marketing, strategic partnerships, and data-driven approaches. The findings in this study indicate that the application of a flexible and innovative marketing mix can enhance business competitiveness and sustainability. By understanding the relationship between the marketing mix and entrepreneurship, entrepreneurs can develop more effective marketing strategies to face the ever-evolving market dynamics.

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 research aims to analyze buyer behavior towards skincare products, with a focus on factors that influence purchasing decisions, product preferences, the influence of social media, and promotional strategies. This study uses a quantitative approach with survey methods to collect data from respondents regarding habits, preferences and external influences in purchasing skin care products. Data analysis techniques are carried out descriptively to identify trends and patterns of consumer behavior. The research results show that product quality is the main factor in decisions (91.3%), followed by needs and price. TikTok emerged as the top platform for seeking information (77.9%), while influencer reviews had a significant influence with 91.3% of respondents considering them before purchasing a product. The majority of consumers prefer local products (60.6%) compared to imports. Additionally, promotional strategies such as discounts and cashback proved effective in attracting attention, with 93.3% of respondents expressing interest in the offer. This research concludes that skincare buyer behavior is influenced by a combination of rational and emotional factors, which are strengthened by the influence of social media and promotions. These findings provide insight for producers in designing marketing strategies that are more effective and in line with consumer needs.

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.

The development of Micro, Small and Medium Enterprises (MSMEs) has a strategic role in improving community welfare, especially in rural areas. This research aims to analyze the strengths, weaknesses, opportunities and threats (SWOT) faced by coconut processing MSMEs in Gesikharjo Village, Palang District. Data was collected through in-depth interviews with MSME actors, field observations, and document analysis. The research results show that the main strengths of these MSMEs are the availability of local raw materials and community support. However, weaknesses such as technological and management limitations are still challenges. Opportunities such as increasing demand for processed coconut products in local and national markets provide bright prospects, although threats such as price competition and global market fluctuations still need to be watched out for. Research recommendations include strengthening the managerial capacity of MSME players, product innovation, and collaboration with the government and private sector to create a sustainable business ecosystem.

Shares are a very important instrument as a manifestation of company performance. One factor that is considered important in influencing share prices is carrying out financial ratio analysis. The aim of this research is to determine the influence of macroeconomic factors as moderators in the relationship between financial ratios and share prices of companies in the infrastructure sector listed on the IDX for the period 2020 - 2023. This research uses quantitative methods. The sample used in this research includes 21 infrastructure sector companies over a 4 year period, there are 84 observations and the analysis method in this research is panel data regression with STATA software version 14. The results of this research are that price to earnings and earnings per share have a partial effect. significant effect on stock prices, while sales growth, sales growth on stock prices with economic growth as a moderator, price to earnings on stock prices with economic growth as a moderator, earnings per share on stock prices with economic growth as a moderator do not have a significant effect on stock prices. And simultaneously, sales growth, price to earnings and earnings per share on stock prices with economic growth as a moderator have a significant effect.

This study aims to determine how the independent variables, namely Operating Cost and Operating Income, Non Performing Loan, and Loan to Deposit Ratio, influence the dependent variable, namely Company Value (Price to Book Value) in BUMN Conventional Banks listed on the IDX in 2019-2022. The type of research used is associative with a quantitative approach with a total population of 42 companies. The sampling technique uses purposive sampling so that the number of samples obtained is 4 companies. This study uses panel data regression analysis techniques using the help of Eviews 10 software. Based on the results of the study, it can be concluded that partially operating cost and operating income affect company value (Price to Book Value), while non-performing loans and loan to deposit ratios do not affect company value. Simultaneously operating cost and operating income, non-performing loans and loan to deposit ratios have a significant effect on company value (Price to Book Value).