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This study aims to analyze the implementation of digital marketing in Sharia cooperative retail business units to increase sales volume. Advances in information technology have driven changes in consumer behavior, leading to an increasing reliance on digital media for product information and transactions. This situation requires Sharia cooperatives to adapt through the implementation of effective digital marketing strategies. This study employed a qualitative method with a case study approach. Data were obtained through observation, in-depth interviews, and documentation. The research informants consisted of cooperative administrators, retail business unit managers, and consumers who interacted with the cooperative's digital marketing media. Data analysis techniques used the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing. The results show that the implementation of digital marketing through social media, WhatsApp Business, and digital promotions can expand market reach, enhance interaction with consumers, and drive increased sales volume. However, obstacles remain, including limited human resources and consistency in digital content management. Therefore, improving the digital competency of cooperative managers is necessary to optimize digital marketing strategies.

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.  

This study aims to analyze the implementation of digital marketing in increasing sales of small and medium enterprises (SMEs) in the bedding equipment sector on online platforms. The background of this research is driven by the high level of competition in marketplaces and the need for business actors to optimize digital marketing strategies to remain competitive. The research method used is Participatory Action Research (PAR), combined with SWOT analysis to identify business conditions comprehensively. Data collection techniques were carried out through direct observation of production and marketing activities. The results show that the implementation of digital marketing through marketplaces and social commerce can expand market reach, increase sales volume, and enhance the business actor’s understanding of managing online marketing strategies. In addition, product content optimization, the use of promotional features, and customer service play an important role in increasing consumer trust and purchase decisions. However, challenges such as high advertising costs and frequent changes in platform policies were also identified. Overall, this study concludes that well-planned and efficient digital marketing strategies can improve competitiveness, profitability, and business sustainability of SMEs in the digital era.

This study aims to analyze the effect of production costs and sales volume on profit with firm size as a moderating variable in food and beverage sector companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. This study used a quantitative approach with an associative research design. The data used were secondary data obtained from annual financial statements of food and beverage companies listed on the IDX. The sampling technique used purposive sampling and obtained 110 observations. The analysis method employed was Moderated Regression Analysis (MRA) using IBM SPSS Statistics. The results of the study indicate that production costs do not have a significant effect on company profit. Meanwhile, sales volume has a positive and significant effect on profit. Firm size has a negative and significant effect on profit. Furthermore, firm size is unable to moderate the relationship between production costs and profit as well as the relationship between sales volume and profit. The coefficient of determination test shows that the independent and moderating variables are able to explain 56.8% of the variation in company profit, while the remaining 43.2% is explained by other variables outside the research model. This study implies that companies need to focus more on increasing sales volume and improving operational efficiency to enhance profitability.

SMEs play an important role in Indonesia's economy, one of which is the woodcraft industry that has great potential for export. Putra Mandiri Woodcraft (PMW) faces sales instability, ranging from 30% to 145.48% of the set target, which affects production efficiency. This study aims to formulate an effective marketing strategy to increase sales volume and business competitiveness. The methods used in this study include the IFE and EFE Matrix analysis to identify internal and external factors affecting the company, SWOT analysis to formulate various strategies, and QSPM to determine strategy priorities based on the Total Attractiveness Score (TAS) value. The analysis results show that Putra Mandiri Woodcraft has an IFE score of 2.70 and an EFE score of 2.80, indicating that the company's internal condition is quite strong, although the response to external factors is still moderate. The company's main strengths lie in product quality and consumer trust, while its weaknesses are the lack of innovation in product design. Based on the SWOT analysis results, eight potential strategies were found, and the QSPM shows that expansion through a marketplace based on product quality and more varied designs is the main priority with a TAS value of 6.16.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in the economy and community independence. However, the great potential of home-based businesses is often hindered by administrative issues related to business legality. This research focuses on UMKM Krecek Kulit Sapi Ashif in Jatirejo Village, which has been operating since 2018 but lacks a Business Identification Number (NIB), Household Industry Food (PIRT) permit, and halal certification due to perceived complex procedures. The main objective of this activity is to strengthen business management through product standardization and obtaining legal certifications to enhance the competitiveness of this MSME. The research method used a descriptive qualitative approach with a community service method based on mentoring, including observation, in-depth interviews, and hands-on practice in managing documents through the Online Single Submission system. The results show that through phased mentoring, UMKM Krecek Kulit Sapi Ashif successfully obtained an NIB and increased the owner’s awareness of PIRT food safety standards and halal certification procedures. The impact of this activity includes meeting administrative legality and improving knowledge, confidence, and professionalism in business management. Intensive mentoring proved crucial in transforming informal businesses into formal, legally protected entities.

This study aims to analyze the impact of the increase in Value Added Tax (VAT) and inflation on the sales revenue of PT Astra International Tbk during the 2022–2024 period. The research employs a quantitative approach using multiple regression analysis to examine the relationship between VAT, inflation, and sales revenue. Secondary data were obtained from the company’s financial statements, inflation data from Statistics Indonesia (BPS), and VAT rate information from the Directorate General of Taxes (DJP). The data were analyzed to identify how VAT and inflation influence the company’s revenue. The results indicate that both VAT and inflation have a significant effect on sales revenue, both simultaneously and partially. The coefficient of determination (R²) of 0.899 shows that 89.9% of the variation in sales revenue is explained by the changes in VAT and inflation rates. These findings suggest that VAT and inflation are important economic factors that should be considered by businesses, especially in the automotive industry, when planning strategies for revenue generation. Furthermore, the study emphasizes the critical need for companies to adapt to changing fiscal policies and macroeconomic conditions to maintain profitability and competitive advantage in a fluctuating economic environment.

MSMEs Traditional culinary MSMEs play a vital role in the Indonesian economy through job creation, income equality, and preservation of local culture. However, limited capital, raw materials, and labor, as well as unsystematic production planning, mean that MSME production decisions are still intuitive, leading to inefficiencies and suboptimal profits. A case study of MSME Sostang Tijang Bruno, a Sundanese cireng producer, shows that cireng production is still based on experience without clear calculations, resulting in a mismatch between production and demand and waste of raw materials. This study aims to optimize cireng production volume using the Graphical Linier Programming method to maximize profits by considering constraints on raw materials, working time, and market capacity. Data were obtained through observation, interviews, and documentation. The decision variables were the production volume of original chicken-filled cireng and spicy chicken-filled cireng. The analysis results showed an optimal production combination of 2.93 kg of original chicken-filled cireng and 0.53 kg of spicy chicken-filled cireng with a maximum profit of Rp499,000 per day. This method is expected to help MSMEs make more efficient and rational production decisions

The retail industry generates an extremely large and continuously growing volume of transactional data along with the advancement of digital technology, thereby requiring sophisticated and systematic data analysis approaches to support effective and evidence-based business decision-making. This study aims to analyze retail sales data by utilizing the Retail Sales Dataset obtained from the Kaggle platform, which consists of 100,000 transaction records and broadly represents the characteristics of retail transactions. The main focus of this study is to classify product categories and predict customer segments, including the identification of high-spending customers (high spenders), based on demographic attributes such as age and gender, as well as various transaction-related features. The research methodology includes data preprocessing, label encoding, and feature engineering to generate additional variables, including Age_Group, Is_Holiday, and Spender_Group, which are expected to enhance the predictive capability of the models. Several machine learning algorithms, namely Decision Tree, Random Forest, and XGBoost, were implemented and evaluated to compare their respective performance. The experimental results indicate that multiclass product category classification achieves relatively low accuracy, ranging from 27% to 34%. These findings suggest the high complexity of retail data and highlight the need for further model optimization, class balancing techniques, and feature refinement to improve predictive performance in future studies.

The rapid development of the sea transportation industry produces a massive and complex volume of transaction data, requiring strategic management to support managerial decision-making. This research aims to implement the Executive Information System on SeaPass in order to evaluate the performance of ship ticket sales. The research method uses data visualization with a two-level drill-down mechanism, which allows the presentation of information hierarchically from general summaries to specific details. The methodological stages include needs analysis, user interface (UI) design using Figma, front-end implementation with HTML, CSS, and JavaScript, database integration, and system testing through Black Box Testing. The results showed that the SIE implementation successfully integrated operational data, including schedules, ships, and manifests, into an interactive dashboard. The two-level drill-down feature provides the ability for executives to identify operational anomalies and market fluctuations in real-time. In conclusion, the system significantly enhances executive data analysis capabilities, transforming complex transaction data into accurate strategic information, thereby supporting more precise business decision-making and adaptive to the dynamics of the marine transportation market.

The rapid development of the sea transportation industry produces a massive and complex volume of transaction data, requiring strategic management to support managerial decision-making. This research aims to implement the Executive Information System on SeaPass in order to evaluate the performance of ship ticket sales. The research method uses data visualization with a two-level drill-down mechanism, which allows the presentation of information hierarchically from general summaries to specific details. The methodological stages include needs analysis, user interface (UI) design using Figma, front-end implementation with HTML, CSS, and JavaScript, database integration, and system testing through Black Box Testing. The results showed that the SIE implementation successfully integrated operational data, including schedules, ships, and manifests, into an interactive dashboard. The two-level drill-down feature provides the ability for executives to identify operational anomalies and market fluctuations in real-time. In conclusion, the system significantly enhances executive data analysis capabilities, transforming complex transaction data into accurate strategic information, thereby supporting more precise business decision-making and adaptive to the dynamics of the marine transportation market.

, it has driven very significant changes to the marketing and sales strategies of various companies in the business sector. One of the influential innovations is the implementation of e-commerce (electronic commerce), which allows the buying and selling transaction process to be carried out online through the internet network. E-commerce is not only a means to sell products, but it also plays an important role in expanding market reach, increasing the effectiveness of promotions, and strengthening the relationship between companies and consumers. This study aims to analyze the application of e-commerce as a strategy to increase product sales at PT Daehsan Indonesia Medan Branch. The research method used is qualitative descriptive with data collection techniques through interviews, observations, and documentation of management and distributors involved in the company's digital marketing activities. In addition, this study also reviews the supporting factors and obstacles that arise during the implementation of e-commerce, so that it can provide a comprehensive picture of the extent to which the use of digital platforms affects the increase in sales volume, the expansion of market reach, and the level of customer satisfaction.

, it has driven very significant changes to the marketing and sales strategies of various companies in the business sector. One of the influential innovations is the implementation of e-commerce (electronic commerce), which allows the buying and selling transaction process to be carried out online through the internet network. E-commerce is not only a means to sell products, but it also plays an important role in expanding market reach, increasing the effectiveness of promotions, and strengthening the relationship between companies and consumers. This study aims to analyze the application of e-commerce as a strategy to increase product sales at PT Daehsan Indonesia Medan Branch. The research method used is qualitative descriptive with data collection techniques through interviews, observations, and documentation of management and distributors involved in the company's digital marketing activities. In addition, this study also reviews the supporting factors and obstacles that arise during the implementation of e-commerce, so that it can provide a comprehensive picture of the extent to which the use of digital platforms affects the increase in sales volume, the expansion of market reach, and the level of customer satisfaction.

This study analyzes the influence of price, time efficiency, and product quality on ready-mix concrete sales volume at PT Dirgantara Betonindo Batang. This study employed a quantitative method with a causal approach, gathering data through surveys, interviews, and document analysis. A total of 70 respondents were selected using purposive sampling. The outcomes of the multiple linear regression analysis demonstrate that both time efficiency and product quality significantly influence sales volume, while price has a positive but insignificant effect. The regression model can explain 72.2% of the variation in sales volume. These findings provide strategic recommendations for company management in improving efficiency and quality to drive sales

Traditional herbal medicine MSMEs face challenges in increasing the appeal of their products among the younger generation who prefer fresh and modern drinks. To overcome this, innovation in the presentation of herbal medicine is needed to make it more practical, hygienic and attractive. One solution is the manufacture of a microcontroller-based portable box cooler that can maintain the freshness of herbal medicine at an optimal temperature. This box cooler is equipped with an automatic cooling system controlled by a microcontroller, ensuring the jamu stays fresh and high quality for a longer period of time. A temperature sensor monitors and adjusts the cooling conditions as needed, so that the herbs remain at their best when served. In addition, the automatic dispenser system helps regulate the volume of herbs dispensed precisely, reducing wastage and maintaining flavour consistency. With its portable and efficient design, this box cooler is perfect for use in various locations such as bazaars, cafes, offices, or community events. This innovation not only improves the efficiency and competitiveness of MSMEs, but also reinforces the image of jamu as a modern and contemporary healthy drink, making it more attractive to young consumers.

This study aims to determine and analyze the influence of product development, service quality, and pricing on sales volume at PT Indoqurma Sejahtera, East Jakarta. The background of this study is based on increasingly fierce business competition, especially in the trading industry, so companies need to identify factors that influence sales volume. This study uses a quantitative approach with data collection techniques through distributing questionnaires to 50 employees directly involved in marketing and sales activities, using a saturated sampling technique. The research instrument was tested for validity and reliability before use. Data analysis was carried out using multiple linear regression using SPSS software version 19, which includes the classical assumption test, t-test, F-test, and coefficient of determination. The results show that the variables of product development and service quality do not have a significant influence on sales volume. This indicates that the company's product development efforts have not been fully able to increase market appeal or have not been in accordance with consumer needs. Similarly, the implemented improvements in service quality have not had a significant impact on increasing sales volume. In contrast, pricing has been shown to have a significant influence on sales volume. These findings indicate that consumers in PT Indoqurma Sejahtera's target market are highly price-sensitive, thus a competitive pricing strategy can be a key factor in driving sales. Based on these results, managerial implications include the need to reevaluate product development strategies and improve service quality to be more relevant to consumer needs and preferences. Furthermore, the company is advised to maintain and optimize its competitive pricing strategy to increase competitiveness and expand market share.  

This study aims to determine the effect of pricing, sales promotions, and stock availability on sales volume at H&G Collection. In an era of increasingly fierce business competition, companies need to manage marketing strategies effectively to maintain and increase sales. Appropriate pricing can influence product appeal to consumers, planned sales promotions can increase purchasing interest, while maintained stock availability ensures that consumer demand is met without interruption. This study used a quantitative approach with primary data sources obtained through questionnaires. The population in this study was all H&G Collection employees in the marketing, finance, and general administration divisions. The sampling technique used a saturated or census sampling method, where all members of the population were sampled. The number of respondents involved in this study was 37. The research instruments were tested for validity and reliability before being used in data collection. The data obtained were analyzed using SPSS version 19 software. The analysis methods included classical assumption tests, multiple linear regression analysis, t-tests, and F-tests to determine partial and simultaneous effects between variables. The results of the study indicate that the three independent variables, namely pricing (X₁), sales promotion (X₂), and stock availability (X₃), have a significant effect on the dependent variable, namely sales volume (Y). This proves that the right pricing strategy, effective promotions, and optimal inventory management can significantly increase sales volume. This finding implies that H&G Collection management needs to maintain and even improve the quality of the implementation of these three variables in an integrated manner to support sales growth and the company's competitiveness in the market.

This study aims to examine the influence of the marketing mix on the sales volume at Senyala Space coffee shop, focusing on four independent variables: product, price, place, and promotion. The research method used is quantitative with a descriptive approach. The population of the study consists of Senyala Space customers from 2020 to 2024, and the sample was selected using nonprobability sampling and Slovin’s technique to determine a representative sample size. Data was collected through surveys and interviews with customers who visited Senyala Space during the specified period. Data analysis was conducted using several statistical tests, including validity testing, reliability testing, normality testing, linearity testing, multicollinearity testing, heteroscedasticity testing, and multiple linear regression analysis. Additionally, the coefficient of determination (R²), partial test (t-test), and simultaneous test (F-test) were used to examine the effect of independent variables on the dependent variable. All analyses were performed using IBM SPSS Statistics 23. The results show that the marketing mix significantly affects the sales volume at Senyala Space. Of the four marketing mix variables analyzed, price was found to have a significant negative effect on sales volume, indicating that an increase in price tends to decrease sales volume. On the other hand, the other three variables—product, place, and promotion—have a significant positive effect on sales volume. This suggests that improvements in product quality, strategic location selection, and effective promotions can increase sales at Senyala Space. These findings provide recommendations for Senyala Space’s management to enhance their marketing strategies by considering the factors influencing customer purchasing decisions, in order to boost sales volume in the future.

This study aims to evaluate the extent to which the Shopee e-commerce platform affects the sales rate of clothes in Pasar 16 Ilir, Palembang, which is known as one of the largest clothing trading centers in South Sumatra. The background of this research departs from the phenomenon of the rapid development of e-commerce in Indonesia, where Shopee dominates the fashion category and is the main choice of consumers in online shopping. The change in consumer behavior from conventional to digital shopping patterns encourages businesses in traditional markets to adjust strategies to remain relevant and competitive in the increasingly dynamic era of digital transformation. This research method uses a combination of quantitative and qualitative approaches. A survey was conducted on 100 sellers and 150 consumers to collect data on shopping habits, perception of promotions, and the impact of using Shopee on clothing sales. In addition, in-depth interviews with several business actors at Pasar 16 Ilir were conducted to gain a more detailed understanding of the adaptation strategies they implemented. Data analysis shows that Shopee's promotional features, such as discounts, cashback, and flash sales, are the dominant factors that increase consumer interest. Hedonistic aspects, including the convenience and pleasure of online shopping, as well as customer reviews, also have a significant influence on purchasing decisions. The results of the study confirm that the integration of Shopee with the traditional market contributes to the increase in the volume and sales value of clothes in Pasar 16 Ilir. The online-to-offline (O2O) synergy model helps merchants reach a wider market and improve their competitiveness. In conclusion, optimizing e-commerce platforms through effective promotion strategies, review management, and customer service is the key for MSME actors in facing competition in the digital era.

Marketing communication is a tool or medium used by a company or business person to increase the number of visitors. The aim of this research is to explain the marketing communication strategies to enhance sales at PT. Bintang Mas Mitra Amanah. This research utilizes qualitative methods. The data obtained comes from three informants. The data sources used in this study are observation, interviews, and documentation. In this research, data analysis is performed using qualitative methods, starting with reviewing all available data from various sources, namely interviews, observations recorded in notes, and personal documentation, including photographs. The stages in the data analysis process include data reduction, data presentation, and conclusions or verification. The results obtained from this study indicate that marketing communication strategies play a crucial role in the business world, especially in the field of social media. PT. Bintang Mas Mitra Amanah has a significant amount of sales derived from social media. In conclusion, social media plays an important role in the business world.