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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%.

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.

Pertamini or mini gas station is a retail business of fuel oil such as pertalit and pertramak carried out by the community. The absence of strict regulations regarding safety has caused many fire incidents involving it. ALOHA modeling is a tool for analyzing fire risks and their impacts, so that it can be a consideration of vigilance for perpetrators and the surrounding community. The purpose of this study was to analyze the effects of fires and explosions at the Dukuh Pertamini gas station in 2024. This study is a quantitative descriptive study using ALOHA software. The results of the study showed that the storage tank could create a fire pool with a diameter of 10 meters. If this happens, a flash fire can occur up to a distance of 60 meters, the heat of which can be felt up to 150 meters from the center of the explosion.

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.

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.

Jago Coffee is a retail business in the coffee shop industry that adopts the idea of Cafe on Wheels, a new idea in coffee sales. Yoshua Tanu, the owner of Coffee Jago, plans to do a rebranding in 2022. In addition to changes to the idea and design of the Jago Coffee electric wagon bicycle, customers can now order their drinks easily through this special app. The concept of a coffee shop around, which allows consumers to enjoy quality coffee at affordable prices, is very attractive and consumer in demand. The aim of the research is to identify and analyze the influence of brand image and price simultaneously on the interest of consumers to buy Jago coffee in South Jakarta. Using the questionnaire method for data collection as well as data processing using SPPS version 26 and its method of analysis is quantitative analysis, which is the method of statistical analysis. It is then known that brand image and price have a significant influence on buying interest. This research provides valuable insights for companies to optimize their marketing strategies by paying attention to brand image and price as key factors affecting consumer purchasing interests.

Semarang Great Sale (Semargres) is an annual event held by the Semarang City Government and the Semarang City Chamber of Commerce and Industry (KADIN) from 2010 to 2023. This event aims to strengthen relations between Semarang City business actors, including the hotel sector, shopping centers, souvenir producers, retail traders, MSMEs, SMEs, and street vendors. Semargres 2024 will be held from August to early September 2024, with the closing at Queen City Mall Semarang on September 2, 2024. As support, the Semarang City Government and the hotel, restaurant, and entertainment sectors provide a 20% tax break to eligible Semargres participants based on November 2023 taxes and compensated for December 2023 taxes. The Lecturer Team of the Faculty of Economics and Business, Dian Nuswantoro University, implements this community service program in collaboration with KADIN and the Semarang City Government through the Regional Revenue Agency. This program aims to socialize the study of the results of the implementation of Semargres 2024 as a basis for providing tax discounts. This activity is expected to increase the understanding of business actors about the benefits and mechanisms of providing tax discounts, encourage their active participation in Semargres in the future, and be a reference for the development of the local economy of Semarang City.

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 article explores the impact of e-commerce adoption on supply chain efficiency within retail businesses. The study utilizes a mixed-method approach to assess improvements in inventory management, order processing, and customer satisfaction following e-commerce integration. Results demonstrate that e-commerce adoption enhances supply chain efficiency, allowing retail businesses to reduce lead times, minimize stockouts, and meet consumer demands more effectively. The findings underscore the transformative potential of e-commerce for retail supply chains.

In the era of globalization and advances in information technology, business competition in various sectors is getting tighter, including in retail industries such as supermarkets. Supermarkets are not only a place to meet daily needs, but also become part of the busy lifestyle of urban people. In this context, the quality of services and products offered by a supermarket has a very important role in maintaining and increasing market share and customer satisfaction. The survey was conducted both directly in the Super Indo Kenjeran Supermarket area and online through an online survey platform. The survey design used is a cross-sectional survey, where data is collected at one particular point in time to measure the relationship between the variables studied. In this context, research on the effect of service quality and product quality on customer satisfaction at PT. Lion Super Indo Kenjeran becomes relevant and important to do. With a better understanding of the factors that affect customer satisfaction, PT. Lion Super Indo Kenjeran can identify areas that need improvement and design more effective strategies in maintaining and increasing customer loyalty. Lion Super Indo as one of the leading supermarkets in Indonesia, with a long history and strong reputation, certainly does not escape from increasingly fierce business competition. Therefore, a deep understanding of the factors that affect customer satisfaction is a strategic key in maintaining the existence and developing the business of PT. Lion Super Indo.

In the digital era, the advancement of information technology is crucial for enhancing operational efficiency in retail businesses. This study aims to design and develop a sales and inventory information system with a shelf mapping feature for Toserba Decky, which faces challenges in managing stock and manual transactions. The methodology employed is the Waterfall approach, encompassing requirements analysis, design, implementation, and system testing. Data was collected through direct observation, literature review, and analysis of the store's shelf layout. The findings indicate that the developed system can improve data accuracy, reduce recording errors, and expedite product searching. The implications of this research suggest that an effective information system in managing transactions and inventory can enhance operational efficiency and customer satisfaction. This study recommends regular system updates and technical support to ensure optimal system performance and security.    

The adoption of Robotic Process Automation (RPA) has emerged as a crucial strategy for medium-sized enterprises (SMEs) to streamline back-office operations, enhance productivity, and reduce operational costs. RPA involves the use of software robots to automate repetitive, rule-based administrative tasks, allowing employees to focus on more complex, value-added activities. This study explores the implementation of RPA in medium enterprises, focusing on its impact on cost efficiency, administrative workload reduction, and operational performance. The research uses a case study approach, analyzing medium enterprises that have adopted RPA to assess the effectiveness of automation in improving business processes. Data collection methods include interviews, surveys, and company reports to evaluate how RPA affects workload, accuracy, and cost savings. The findings indicate that RPA significantly reduces manual administrative tasks, leading to faster processing times, lower error rates, and substantial cost savings. Employees in enterprises that adopted RPA reported increased job satisfaction due to the reduction of monotonous tasks and the opportunity to engage in more strategic work. However, challenges such as employee resistance, data security concerns, and system integration complexities were also identified. The study compares RPA’s impact with traditional manual processes, highlighting improvements in speed, accuracy, and overall cost efficiency. Additionally, the study compares RPA adoption across industries such as manufacturing, retail, and service, revealing sector-specific challenges and successes. The paper concludes by emphasizing the practical implications for SMEs, suggesting that RPA can optimize business operations and urging further research on its long-term effects on employee roles and organizational culture.

Customer loyalty is a key aspect for the success and desirability of a retail business. Product variations can be an effective approach to increasing customer loyalty. However, in-depth understanding of various product strategies that can increase customer loyalty is still limited. The aim of this research is to explore and understand the variations in product strategies that can be implemented by Palapa Toserba to increase customer loyalty. This research uses a qualitative approach, data is collected through interviews with customers and observation. The results of this research can increase customer loyalty. This research provides valuable insight for Palapa Toserba Wadung Asri and other retail companies in implementing effective product variety strategies to increase customer loyalty    

Effective sales transaction management is very important for retail businesses. This research aims to develop a comprehensive sales invoice information system at the Sari Agung Semarang store to improve the efficiency and accuracy of the sales process. The system is designed to simplify invoicing, maintain accurate inventory records, and provide complete sales reporting capabilities. This research involved analysis of current sales processes, system design with a user-friendly interface, and integration with existing accounting and inventory management software. Implementation of this system is expected to increase customer satisfaction, reduce the risk of errors, and provide valuable insights to support better decision making.

For grocery stores in the Genteng area of Surabaya, digital technology, particularly in branding and digital marketing, can address the challenges faced by micro, small, and medium businesses in promoting and showcasing their products to potential customers. These stores have significant potential due to Genteng's strategic location and dense population. However, a major obstacle is the lack of understanding of digital advertising strategies and nuances, which hampers the growth of grocery stores and their ability to compete with modern retail companies. Observations and discussions with grocery store owners revealed this issue, prompting researchers to develop a research methodology and analysis of the existing challenges. Solutions offered include logo improvements, support with design and management of social media accounts and content, creation and management of marketplace accounts, and providing insights on Instagram advertising to business owners. With these various solutions, it is anticipated that grocery store entrepreneurs can compete effectively and keep pace with the rapid advancements in technology.

In the era of rapid digitalization, understanding consumer behavior through data is becoming increasingly important for retail businesses. Shopping trends, such as those contained in this study, provide in-depth insights into various aspects of consumer behavior, from demographics to purchasing preferences and patterns of discount usage. This data is invaluable in formulating effective marketing strategies, improving customer experience, and optimizing business operations. The data used in this study included a variety of relevant variables, such as age, gender, location, product categories purchased, number of purchases, payment methods, and frequency of purchases. This information allows for a comprehensive analysis of how these factors affect consumer spending decisions. For example, analytics can reveal seasonal trends in purchases, product color and size preferences, and the impact of discounts and promo codes on sales volume. In addition, this dataset also reflects the changes in consumer behavior that have occurred over the past few years. Quantitative methodology is a research approach used to collect and analyze numerical data to understand patterns, relationships, and events in a given population. Data is collected from various sources such as online sales transactions, consumer surveys, Naive Bayesian algorithms are applied to the dataset that has been processed. The data was divided into two sets: training (80%) and testing (20%).    

In an era of increasingly fierce business competition, creative and innovative marketing strategies are an important factor to attract consumer attention and encourage sales. This article presents a case study from a shoe and sandal shop NeedShoes which succeeded in improving its business performance through a unique and interesting creative campaign. Using historical methods, literature studies, and case studies, this article explores the background of the shoe and sandal retail industry, analyzes NeedShoes' creative campaigns in depth, and identifies success factors, challenges, and valuable lessons that can be adopted by other businesses.