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This research was conducted to determine the appropriate CV Restu Mande business strategy design using strengths, weaknesses, opportunities and threats (SWOT) analysis and the Business Model Canvas (BMC) in achieving export targets. The method used in this research is a descriptive qualitative method. Data collection carried out in this research was interviews with the leadership of CV Restu Mande, observation both directly and indirectly, and documentation. The SWOT analysis carried out in this research produces a SWOT matrix as a recommendation for CV Restu Mande's business strategy. The results of the SWOT analysis, SWOT matrix, and proposed new Business Model Canvas at CV Restu Mande are that in the customer segments section, target consumers are added in the form of Indonesian communities abroad, in the channels section, websites, international e-commerce and overseas retail need to be added, in the customer relationship section, rewards need to be added for resellers, dropshippers and loyal customers, in the key resources section we need to add production facilities, in the key activities section we need to add more interesting and detailed marketing activities, in the key partnership section we need to add agent collaboration. or distributors, loyal customers, production partners, and international trade consultants or experts, and in the cost structure section it is necessary to focus on investment in production facilities.

In today's world of retail and technology, competition is fiercely competitive. With the development of retail businesses increasing in number and mushrooming in a region, consumer needs are increasing, and retail business players are competing to develop their businesses by utilizing existing technology. Daily sales transaction data continues to increase, causing a lot of storage. Toko Ira has more than 228 sales transaction data records from 2023 to 2024 that have not been used. Data requires a lot of storage space. Additionally, the data has not been used in an effective way. Based on this problem, this research aims to use data mining to classify sales transaction data to determine which items are selling best. This research is a case study with a qualitative approach. This research was conducted with the Naive Bayes method and Rapidminer was used. The results of the sales transaction data classification research are the division of products into best-selling and non-selling categories. The results of this research show that the K-Nearest Neighbors (KNN) algorithm with a 50:50 data division is more effective in predicting and classifying sales of best-selling and non-selling products in IRA stores. The results show that the Naive Bayes algorithm has an accuracy of 89.91%, while the K-Nearest Neighbors (KNN) algorithm has an accuracy of 60.09%.

The fashion retail brands in Indonesia have shown a significant downward trend, particularly with well-known fashion brands like Zara. This decline reflects changes in several factors influencing consumers' purchase intentions, such as brand experience and consumer involvement. This study aims to examine the influence of brand experience and consumer involvement on the purchase intention of Zara products. The research design applied in this study is quantitative with a descriptive approach. Non- probability sampling was used due to challenges in randomly reaching all Zara consumers, as the exact number of visitors could not be accurately determined. The sampling technique applied was purposive sampling, with a total sample of 150 respondents. Based on the research results, it can be concluded that Brand Experience has significant effect on the Purchase Intention of Zara products, and Consumer Involvement also has significant effect on the Purchase Intention of Zara products.

Modern  companies  in  the  digital  era  face  challenges  in  maximizing  the  utilization  of  information  systems  (IS)  to  enhance  business  efficiency  and  competitiveness.  PT  Indomarco  Prismatama,  one  of  Indonesia's  largest  retail  companies,  requires  an  integrated  IS  strategic  plan  to  strengthen  business  processes  and  optimize  information  management.  This  study  aims  to  develop  an  IS  strategic  plan  for  PT  Indomarco  Prismatama  using  the  Ward  and  Peppard  method,  which  combines  SWOT  analysis,  PEST  analysis,  Value  Chain  analysis,  and  McFarlan  Strategic  Grid  mapping  to  identify  and  assess  the  company's  IS  needs  and  opportunities.  Through  internal  and  external  environmental  analysis,  it  was  found  that  several  business  areas  require  further  IS  development,  including  inventory  management,  customer  relations,  and  supply  chain  integration.  The  IS  recommendations  provided  in  this  study  are  expected  to  serve  as  a  foundation  for  more  effective  IS  development  that  aligns  with  the  company's  business  strategies,  thereby  supporting  sustainable  growth  and  increased  competitiveness  in  the  retail  market.    

The development of digital technology has opened significant opportunities for the website development industry to innovate, particularly through the implementation of Augmented Reality (AR) technology. This study explores the application of the Business Model Canvas (BMC) in designing a business strategy for ACW Studio, a website development service company utilizing AR technology. By integrating AR, ACW Studio offers a unique value proposition, such as creating interactive websites and AR-based creative products, significantly enhancing customer experience. The use of BMC helps the company analyze nine key business elements, including strategic collaboration, service personalization, and optimization of digital distribution channels. The study results show that AR-based strategies can provide substantial competitive advantages in a highly competitive market while also opening opportunities for expansion into sectors such as education, retail, and tourism.

The utilization of information technology in the business process of a business field will be very helpful in terms of transaction processing, data processing, data analysis, and data storage. Business processes that still do not use computer technology allow many obstacles to occur, such as errors in the process of recording transactions, errors in the calculation process, difficulties in the process of storing and processing data, difficulties in making reports, and so on. CV. Athaya is a medium-scale retail business. Where currently in carrying out its transaction activities it still uses manual methods. Calculations carried out manually are of course not very effective and efficient. In addition, processes carried out manually are prone to errors in the calculation process, take a long time to complete transactions, especially if there are consumers who purchase a lot of goods, have difficulty in compiling reports, have difficulty in the process of recapitulating transaction data, are prone to losing transaction data, and various other obstacles or difficulties. Based on these problems, the research conducted has the aim of creating a cashier system design at CV. Athaya using UML diagrams. The purpose of designing this cashier system is to provide an overview of the cashier system to be built to users, namely cashiers at CV. Athaya which can simplify the ongoing transaction process, increase effectiveness and efficiency in cashier work, facilitate data processing into reports desired by business owners, minimize calculation errors, and assist in the data storage process.

This study comprehensively investigates the empirical impact of capital structure, profitability, and asset growth on the value of companies in the retail sector on the Indonesia Stock Exchange during the post-pandemic economic recovery phase (2021–2024). Adopting a quantitative methodology with purposive sampling of 12 entities (N=48), parameters were estimated using multiple linear regression after passing a rigorous classical assumption test including normality, multicollinearity, and heteroscedasticity. By proxiesizing the capital structure through Debt to Equity Ratio (DER), profitability through Return on Assets (ROA), and total asset growth to Price to Book Value (PBV), this study reveals the phenomenon of  market undervaluation with an average PBV of 0.17. The results of statistical tests confirm that these financial determinants partially and simultaneously have a significant influence on shaping the firm value. These findings provide a theoretical contribution regarding the relevance of funding policy and operational efficiency as crucial signals for investors in a volatile market landscape. The practical implications emphasize the importance of optimizing financial structure and operational performance to strengthen market confidence during the global economic transition period.

The fast-paced growth of digital technology and online communication has transformed how people connect, share information, and build communities. Among the many social media platforms, TikTok stands out for its ability to create dynamic and interactive engagement through short-form videos and live streaming features. This study explores how the retail brand OH! SOME uses communication strategies on TikTok to foster meaningful interaction with its audience. Drawing on Chriss Fill’s (1995) three-stage communication framework—Pull, Push, and Profile Strategies—the research examines how these approaches are implemented across OH! SOME’s beauty, makeup, and skincare accounts. A qualitative descriptive method was employed, combining in-depth interviews, direct observation, and documentation with three key participant roles: the operator, live streaming assistants, and hosts. The findings reveal that OH! SOME’s communication success on TikTok relies on its ability to integrate creative content with real-time interaction. The Pull Strategy attracts audiences through engaging visuals and relatable messages; the Push Strategy emphasizes teamwork and consistent interaction during live sessions; and the Profile Strategy strengthens brand image and trust among followers. Overall, the study highlights how classical communication theories can be adapted to the dynamics of digital marketing. It provides both conceptual and practical insights for brands seeking to build audience relationships in the era of social commerce. The results also underline TikTok’s potential not merely as a sales tool but as a space for creating community, authenticity, and emotional connection with consumers.

This research aims to analyze the best-selling products at Toko Hartati using the K-Means Clustering method. K-Means Clustering is an unsupervised learning algorithm that is effective in grouping data based on certain similar characteristics. In this context, the data used includes the number of sales, product prices, and product categories. Through this analysis, it is hoped that insight can be gained regarding products that have the best sales performance, as well as sales patterns that can be used as a reference in stock management and marketing strategies. The data used in this research includes sales transactions during a certain period, with the aim of identifying product clusters based on sales patterns. The analysis results show the existence of two main product groups, where the first cluster contains products with high sales numbers, which can be classified as best-selling products, while the second cluster includes products with lower sales. These findings provide valuable information for the management of Toko Hartati in determining more targeted marketing strategies and more efficient stock management. This research suggests using the K-Means Clustering method in data-based decision making to improve sales performance in retail stores.

This research aims: (1). To determine the productivity of snake fruit farming in Sindang Kasih Village, (2). Knowing the margin, costs and marketing channels for snake fruit in Sindang Kasih Village, and (3). Knowing the marketing efficiency of snake fruit farming in Sindang Kasih Village. The analysis in this research is analysis and uses primary data and secondary data. Determining the population in this research uses the census sampling method, while in marketing institutions the Snowball Sampling method is used. The results of this research show (1). The total productivity of salak farmers is 5,533 Kg/Ha/Year with an average of 2,160 Kg/Ha/Year in one harvest season. (2). There are 3 salak marketing channels in Sindang Kasih Village, namely Channel I: (Farmers - Consumers) direct channel, Channel II: (Farmers - Collectors - Retailers - Consumers) indirect channel, and Channel III (Farmers - Retailers). - Consumer) indirect channels. Successive marketing margin, namely channel I, is IDR. 12,500/Kg, Channel II at the collector level has a margin of Rp. 2,000/Kg and at the retailer level it has a margin of Rp. 5,000/Kg, and for channel III margin, at the retailer level the margin is IDR. 13,000/Kg. (3). The results of the analysis of (Farmer's Share) from the three channels, respectively Channel I is 100%, channel II is 41.67% and channel III is 64%

Digital marketing as a promotional strategy emerged as a response to developments in information technology. The use of digital marketing is not only limited to new companies or start-ups, but is also applied by companies that have been around for a long time. PT. XYZ, which functions as a motor vehicle distributor and retailer, is also required to adopt digital marketing even though it already has a strong brand from its parent company. In this research, which uses a case study of PT. XYZ, data obtained through observation and interviews. The research results show that PT. XYZ uses three media in implementing digital marketing, namely websites, social media and applications. Of the three media, social media such as Instagram and Facebook show the best results, because both are used to provide information and build engagement with consumers.  

Regional economic development is significant in improving the community's standard of living. The success of this development depends on formulating and implementing policies that prioritize sectors with substantial competitive advantages. This research aims to analyze the base and non-base sectors that comprise the economy and the typology of leading sectors to be developed further in Kebumen Regency. The method used in this research is quantitative descriptive to describe the characteristics of Kebumen Regency's economic sectors systematically. The data used is secondary data obtained from the Central Bureau of Statistics (BPS) in the form of Gross Regional Domestic Product (GRDP) data for Kebumen Regency and Central Java Province in 2023. Three analytical tools are used to analyze the leading sectors: Location Quotient (LQ), Dynamic Location Quotient, and Sectoral Klassen Typology. The research results show that five leading sectors in Kebumen Regency are classified as base and prospective sectors, namely (1) Agriculture, Forestry, and Fisheries, (2) Wholesale and Retail Trade, (3) Transportation and Warehousing, (4) Government Administration, Defense, and Mandatory Social Security, and (5) Health Services and Social Activities.

Empat Lawang Regency, once classified as a disadvantaged region, has made significant progress in improving the welfare of its population. This is reflected in the declining poverty rate and increasing Human Development Index (HDI). However, the region's economic growth, as measured by GRDP and GRDP per capita, lags behind other regions in Sumatera Selatan. This research seeks to pinpoint the key economic sectors driving Empat Lawang Regency's development by employing a combined analysis of LQ, Shift Share, and Tipology Klassen. The analysis results indicate that no sector can be unequivocally classified as a leading sector in Empat Lawang Regency. Nonetheless, several sectors such as agriculture, forestry, fisheries, wholesale and retail trade, also the other sectors exhibit potential for further growth. These findings underscore the importance of targeted policies and investments to stimulate economic growth and enhance the livelihoods of the local population.

This research implements RFM (Recency, Frequency, Monetary) analysis to perform customer segmentation and evaluate the effectiveness of marketing campaigns in a retail company. Using a Kaggle dataset, this study identifies customers based on purchasing behaviour and assesses marketing campaign responses for each segment. The analysis reveals that Loyal, VIP, and New Customer segments showed the highest responses, especially in Campaign 6. The findings emphasize the importance of targeting resources on effective segments and campaigns to optimize marketing strategies and maximize ROI. Personalized campaigns based on segmentation can enhance customer retention and align product offerings with customer needs.

This study aims to optimize marketing strategies through RFM (Recency, Frequency, Monetary) analysis on a retail transaction dataset obtained from Kaggle. The dataset contains 64,682 transactions from 5,242 SKUs involving 22,625 customers over one year. Data cleaning and RFM analysis were conducted to segment customers based on recency, frequency, and monetary values. The findings reveal that customers were segmented into groups such as Champions, Loyal Customers, and At Risk. These segments provide valuable insights for developing targeted marketing strategies, such as loyalty programs for high-value customers and retention campaigns for at-risk customers. The study demonstrates that RFM analysis is effective in identifying valuable customer segments and optimizing marketing efforts based on customer behavior. This approach can increase customer retention and improve the return on investment (ROI) in marketing campaigns.

This study aims to identify the marketing channels of spring onions and analyze the efficiency of spring onion marketing in the research area. The population in this study were all farmers in Linonggasai Village, Wonggeduku Barat District, Konawe Regency who grow spring onions and marketing institutions, namely 10 farmers, 4 collectors and 5 retailers, farmer samples were taken by census and trader samples used the snowball sampling method. Based on the results of field research, it can be concluded that; the marketing channels for spring onions in this research area are farmers to collectors to retailers and then to consumers. The margin obtained by collectors is IDR 10,000 / kg with a profit of IDR 8,500 / kg. While the margin obtained by retailers is IDR 10,000 / kg with a profit of IDR 8,900 / kg. The efficiency value of the spring onion marketing channel in the research area is efficient with a marketing efficiency level obtained by collectors of 2.5% and retailers of 1.5%, and the farmer share received by farmers is 72%.

This community service program is carried out with the aim of providing education for MSME players regarding the importance of recording and preparing financial reports in a simple way, in this case, for CV MSMEs. Mysneaker Retail Indo. This program is a discussion-based socialization program which aims to make the material presented easy to understand and understand and can help answer the problems faced by CV. Mysneaker Retail Indo in recording transactions and financial reports for their business. The results of this program show that CV. Mysneaker Retail Indo is interested in overhauling their financial report recording in the manner proposed by the author. According to them, by recording the financial reports submitted by the author, they can be used to read the business situation easily. This shows that this program is useful for increasing insight for MSME players in recording and preparing financial reports for their business.

PT Efrata Garmindo Utama Sukoharjo itself operates in the retail sector which makes batik clothes (men, women and children) with its flagship brand, namely Bateeq. This research is a survey with quantitative data, namely data on the number of employees and the number of respondents to the questionnaire. Primary data in this research is the result of distributing questionnaires given to employees of PT Efrata Garmindo Utama. The population in this study were all employees of PT Efrata Garmindo Utama, totaling 502 employees. The sample in this study was narrowed using the Slovin formula to 85 respondents using a purposive sampling technique. The data collection technique uses a questionnaire. Test research instruments with validity and reliability tests, classic assumption tests including multicollinearity tests, autocorrelation tests, heteroscedasticity tests and normality tests. The data analysis method uses descriptive analysis, multiple linear regression test, t test, F test and R² test. The results of the validity test for all instruments obtained a significance value = 0.000 < 0.05, meaning that all instruments were valid. Reliability test results for all reliable variables. The results of the multicollinearity test, autocorrelation test, heteroscedasticity test, normality test for all variables passed the test. The results of the multiple linear regression test obtained the regression equation Y = 17.062 + 27.571 X₁ – 47.771 X₂ + 0.013 The results of the t test for the work ethic variable have no significant effect on employee performance with ρ-value = 0.378 > 0.05. Work discipline has a significant effect on employee performance with ρ-value = 0.012 < 0.05. Work motivation has a significant effect on employee performance with ρ-value = 0.000< 0.05. The results of the F test show a calculated F of 34.876 with a ρ-value of 0.000 < 0.05, meaning that the model used to test the influence of the independent variables is variable X1 (work ethic), variable X2 (work discipline) and variable X3 (work motivation) on The dependent variable, namely employee performance (Y), is correct. The R² test results obtained a value (Adjusted R²) of 0.574, meaning that the contribution of the independent influence of variable X1 (work ethic), variable X2 (work discipline) and variable X3 (work motivation) to Y (employee performance) was 54.7%. The remainder (100% - 54.7%) = 45.3% is explained by other variables outside the model, for example quality of work life, workload, work environment, job satisfaction and leadership style.

The purpose of this study is to find out efforts to provide legal protection to consumers who experience losses due to business actors, namely elements that are irresponsible, act recklessly and arbitrarily so that it causes harm to consumers, clearly violates and is not in accordance with applicable laws and regulations. apply and regulations. Law Number 8 of 1999 concerning Consumer Protection (UUPK) which regulates how consumer rights must be fulfilled and the obligations of corporate actors must be carried out in accordance with what has been regulated in it, applies in Indonesia and regulates customers. The perfect example of an online retailer or marketplace that operates honestly, straightforwardly and correctly is PT Grab Toko Indonesia (Grabtoko). As a business actor who has the responsibility to enforce his agreement with customers, Grabtoko does not carry out this commitment properly. It has been determined that Grabtoko is deceiving people who fall for the fake news ads it offers in its advertisements. The fraudulent activities carried out by Grabtoko have fulfilled the fraud requirements stipulated in the UUPK, including default, use of internet-based electronic media in transactions, loss of one party, and incompatibility of trading goods with representatives of the parties. 

This study was conducted to examine the influence of good corporate governance with proxies by managerial ownership, institutional ownership and independent commissioners as well as corporate social responsibility with profitability as a moderation variable on company value. The sample selection technique in this study uses purposive sampling and was obtained from 11 retail companies listed on the Indonesia Stock Exchange for the 2019-2023 period. The data analysis used in this study is multiple linear regression analysis using  SPSS software version 27. Based on the results of the study, it can be concluded that managerial ownership and CSR have no effect on company value, institutional ownership and independent commissioners have a positive effect on company value, profitability cannot moderate the influence of managerial ownership and CSR on company value, and profitability can weaken the influence of institutional ownership and independent commissioners on company value.