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The purpose of this study is to analyze the influence of capital structure and liquidity on profitability at PT Matahari Department Store Tbk during the 2019-2023 period. A qualitative approach is used in this study. The data used is secondary data in the form of the company's annual financial statements. According to the results of the T test, it shows that the capital structure has a significant influence on profitability of 0.013 (α < 0.05) while liquidity has no significant effect of 0.5944 (α > 0.05). These findings confirm the importance of optimal capital structure management in encouraging company profitability. On the contrary, high liquidity has not been used productively to increase profits. This study recommends an in-depth evaluation of capital and liquidity management strategies to achieve better financial performance.

Customer segmentation plays a pivotal role in driving marketing strategies and improving customer retention across various industries. This study explores the application of the RFM (Recency, Frequency, Monetary) model for customer segmentation in a Software-as-a-Service (SaaS) business, using Python for efficient data processing and analysis. By analyzing one year of customer purchase data, we segmented customers into key groups such as "Champions," "Loyal Customers," and "At Risk." The results highlight that targeted discount strategies significantly affect profitability, especially for high-value customer segments. Furthermore, the research builds upon existing methodologies, demonstrating how Python-based implementations streamline RFM analysis and allow for scalable solutions in business contexts, as illustrated in prior works by Hermawan et al. (2024). This study offers actionable recommendations, including tailored discounting, loyalty programs, and personalized engagement strategies, to enhance customer retention and business profitability. The findings underscore the importance of data-driven marketing approaches for customer segmentation and engagement, reinforcing the relevance of the RFM model in modern business environments.

This research is intended to evaluate the marketing strategy implemented by the Mogobo Snack Tuban Micro Enterprise to increase their sales. Mogobo Snack is a micro business that produces fried meatball chips with a spicy taste as its characteristic. This research adopts qualitative methods using observation, interviews and documentation instruments. The findings from the research show that the Mogobo Snack Tuban Micro Enterprise implements a marketing strategy in the form of a marketing mix consisting of product, price, promotion and distribution elements. The strategy includes production of high-quality chips, pricing based on production costs, online and offline marketing, as well as promotion via social media and a door-to-door approach. The SWOT analysis shows several alternative strategies that Mogobo Snack can implement, such as increasing digital marketing, developing new products, collaborating with culinary influencers, and expanding into traditional markets. By implementing these strategies, Mogobo Snack can overcome the challenges of competition and changing consumer trends, thereby increasing sales volume and increasing its market share and profitability.