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PT Multipolar Technology Tbk is a leading information technology (IT) solutions provider in Indonesia, specializing in system integration, IT consulting, and outsourcing services. As part of the Lippo Group business ecosystem, the company plays a pivotal role in driving digital transformation across various industries, including banking, retail, telecommunications, and government sectors. Through strategic partnerships with global technology leaders such as IBM, Oracle, Cisco, and Microsoft, Multipolar Technology delivers comprehensive solutions encompassing hardware, software, cloud services, and data center infrastructure. Additionally, through its subsidiary PT Visionet Data Internasional (VisioNet), the company offers large-scale managed services. Its commitment to service excellence and technological advancement positions Multipolar Technology as a trusted partner in the digital journey of organizations throughout Indonesia.

One type of MSME that assists individuals in meeting their basic needs is the grocery store. The presence of small grocery stores greatly strengthens the local economy, especially in rural areas. Conventional grocery stores still survive and make a significant contribution to the local economy, despite the presence of several more contemporary retail companies in recent years. This study aims to evaluate the strategies used by MSME "Warung Bunda Dirga," including social media advertising, digital delivery services, customer service, product selection and styling, and more. Using SWOT analysis, business owners can plan product development, optimize competitive advantages, anticipate emerging threats, and take advantage of market opportunities to increase customer satisfaction, by thoroughly understanding Warung Bunda Dirga's strengths, weaknesses, opportunities, and threats, owners can make strategic decisions that drive the growth and sustainability of the company. It is expected that the strategies used will increase the company's sales and profitability in the long run. For this qualitative study approach, data was collected through direct interviews. In the face of the explosive expansion of minimarkets and the increasing number of competitors, the owner of Warung Bunda Dirga must devise strategies that can maintain customer loyalty and ensure the survival of the company in the long run.

This study investigates how data visualization helps retail companies make Business Intelligence (BI)-based decisions. The study processed one year of sales data with a quantitative descriptive approach to find seasonal patterns, performance by region, and customer consumption tendencies. The analysis results show that BI software such as Microsoft Power BI can visualize data more easily and accelerate understanding of business performance. Strategic decisions such as promotional planning and product inventory management are more effective with interactive visualization, which allows decision makers to see data in a more understandable way. The study found that data visualization in BI systems can help retail businesses make better decisions. These results show the importance of incorporating BI into a company's operational processes and using interactive visualization to improve overall business performance.

Artificial Intelligence (AI) is quickly becoming a game changer in the way businesses build and manage their strategies. This article explores how AI is helping organizations make faster and smarter decisions, streamline operations, and spark innovation across various industries. With the ability to process massive amounts of data, AI tools can uncover valuable insights about market trends and customer behavior, allowing companies to respond more accurately and stay ahead of the competition. From machine learning and generative AI to natural language processing and digital twins, these technologies are transforming everything from internal workflows to how businesses connect with customers. The article also offers a practical roadmap for adopting AI in a business setting, covering steps like evaluating readiness, running pilot projects, and measuring success through return on investment (ROI). It emphasizes the need for strong data infrastructure, skilled teams, and a culture that supports innovation and data-driven thinking. Challenges such as algorithmic bias, data privacy, and internal resistance to change are also addressed. Real-world examples from banking, retail, and manufacturing show how AI can deliver real impact improving efficiency, increasing customer satisfaction, and driving business growth. Ultimately, embracing AI isn’t just about keeping up with technology it’s about shaping the future of smart, strategic, and ethical business.

 In today's digital era, efficient and accurate inventory management is crucial to support operational effectiveness in business sectors, including retail optics stores. Optik Retna, a retail optical business, previously utilized Microsoft Excel for stock management, which led to various limitations such as restricted multi-user access, risk of data loss, and lack of real-time reporting. To address these challenges, a web-based inventory system was designed and implemented using the Agile methodology. The system was developed using HTML, CSS, JavaScript, PHP, and MySQL, and includes key features such as inventory tracking, expense and return management, transaction recording, sales reporting, and user administration. The implementation results demonstrate that the system enhances work efficiency, simplifies the recording of incoming and outgoing goods, and supports faster and more accurate decision-making at Optik Retna. Therefore, this system provides a practical contribution to the digital transformation of small and medium-sized enterprises in the optical sector.

The continuous development of technology compels companies to consistently adapt to advancements across various aspects of life. Digital transformation has become an essential need for many organizations today as a strategy to improve service quality and operational efficiency. Alfamart, one of Indonesia's leading retail companies, is currently adopting digital transformation in its business processes. The acceleration of digital transformation in Indonesia necessitates the application of digital technology as a basic platform to support the Industry 4.0 ecosystem, leveraging technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI), and augmented reality. This research employs a qualitative approach and descriptive analysis method to evaluate the impact of digital transformation on PT. Sumber Alfaria Trijaya, Tbk (Alfamart), specifically at the Nangahure unit located in Sikka Regency. Analysis is conducted through data reduction, data presentation, and conclusion drawing stages. The research results indicate that the management system at Alfamart Nangahure has been applied in a structured manner and in accordance with the policy standards set by the headquarters. The system includes a well-organized organizational structure, efficient operational management, systematic human resource management, as well as regular evaluation and monitoring processes that support the achievement of store operational targets.

This study aims to describe the success strategy of the Dodol Deli business, an MSME that has existed since 1988 in Pasar Bengkel, Serdang Bedagai Regency. This business is an example of traditional business resilience in the face of various economic challenges, ranging from the 1998 monetary crisis, road infrastructure development, to the COVID-19 pandemic. This research uses a descriptive qualitative method with a case study approach, through direct interviews with business owners. The results show that the success of Dodol Deli is influenced by strong entrepreneurial character, product innovation, efficient production management, and adaptive marketing strategies, including the utilization of social media. In addition, the decision not to use preservatives and not to rely on modern retail systems is an added value in maintaining product authenticity and customer loyalty. Dodol Deli also demonstrates healthy self-financing practices and receives support through non-cash assistance from the government. These findings reinforce the importance of a combination of local values, business independence, and technological adaptation as keys to MSME sustainability.

The rapid development of the business world has driven increased complexity in competition, particularly in the retail sector which has experienced significant growth in various regions, including Tuban. In this context, the partnership between suppliers and department stores (toserba) becomes a strategic aspect that plays a crucial role in maintaining business continuity, operational efficiency, and customer satisfaction. This study aims to analyze the patterns of relationships between suppliers and department stores in Tuban, as well as to identify factors that support the success of such partnerships and their impact on operational performance and customer satisfaction. Using a qualitative descriptive approach based on library research, data were collected from various secondary sources such as scientific journals, books, and relevant publications. The results indicate that effective partnership relationships are characterized by open communication, high trust and commitment, close collaboration, and adaptation to digital transformation. Furthermore, a solid partnership between suppliers and department stores contributes to improving supply chain efficiency, reducing logistics costs, optimizing inventory management, and enhancing customer satisfaction through product availability and responsive service. This study provides valuable contributions to formulating sustainable collaborative strategies for local retail businesses to face increasingly competitive markets.

This research was conducted with the aim of describing the behavior and outlining the strategies implemented by Pertamini retail gasoline traders in maintaining their businesses after the establishment of a gas station in Umbulan Village. The use of methods in this research is descriptive qualitative research with data collection techniques through observation, in-depth interviews, and documentation. In this study, it was found that the behavior of Pertamini retail gasoline traders after the establishment of a gas station in Umbulan Village is more dominantly influenced by external factors from the surrounding environment or market conditions such as the gas station's operating hours, the shift of customers to the gas station, and the proximity to the gas station in Umbulan Village. Thus, the Pertamini retail gasoline traders demonstrate resilience by adapting to market changes and remaining focused on their main objectives, as reflected in their commitment to keep their business open every day despite having few customers. Traders also build close relationships with local customers and suppliers, which are not only based on economic transactions but also on social relations. Although there are disputes between the retail gasoline traders and the Umbulan Village gas station, the traders strive to maintain good relationships. Then, the traders maintain their relationship patterns through good communication and close social interactions, which highlight the importance of social norms in maintaining harmonious relationships. By implementing adaptation strategies, achieving goals, integration, and maintaining good relationship patterns, they strive to survive in the increasingly fierce competition.

This study aims to analyze the potential of the region in utilizing the demographic bonus in Aceh Tamiang Regency. The data used in this study is the PDRB data of Aceh Tamiang Regency and Aceh Province in 2019-2023. The data analysis method uses location question (LQ) and shift share analysis. Based on the results of the LQ analysis, it is known that there are 4 (four) business fields that can become leading sectors in Aceh Tamiang Regency and at the same time are the economic base for further development, namely the agriculture, forestry, and fisheries sectors; mining and quarrying; processing industry; and other services. Meanwhile, based on the shift share analysis, it can be seen that the sectors that have a positive impact on the utilization of the demographic bonus in Aceh Tamiang Regency are the wholesale and retail trade sector, car and motorcycle repairs. In addition to providing a good contribution to the utilization of the demographic bonus in Aceh Tamiang Regency and can increase the PDRB of Aceh Province.

The purpose of this study is to determine the relationship between human resource management, training, and motivation in increasing sales in the retail sector. This study uses a qualitative approach with a Case Study method in 5 Retail Stores in West Nabire District, Nabire Regency, Central Papua Province. The research location is in Nabire District, Nabire Regency, Central Papua Province which was conducted for 1 month, namely from February to March 2025. The method of collecting informants was carried out using the Snowball method and obtained informants as many as 72 store employees from 5 retail stores. The data collection technique was carried out using the Triangulation method, namely Observation, Interviews, and Documentation. Data analysis was carried out by organizing data, sorting into one manageable data, synthesizing, searching and finding patterns, finding important things that can be learned, and systematically compiling data obtained from interviews, field notes, and research documentation conducted. The results of the study show that: (a). The average level of employee education is high school. (b). Employee motivation in increasing sales in the retail business is not always influenced by training factors. (c). Employee motivation to increase sales depends on employee comfort in the workplace (environment, bonuses, incentives, and fairness in employee performance appraisals).

This thesis aims to determine the competition of the Tifany mini market business with other modern markets in Muara Bulian sub-district and to determine the marketing strategy of the Tifany Mini Market to survive the competition of the modern market in Muara Bulian sub-district. This study uses a qualitative approach with data collection methods by conducting observations, interviews, documentation and drawing conclusions. The results of the research conclusions obtained from interviews with informants revealed that, 1) the competition in the retail business in the city of Muara Bulian Jambi is indeed very tight, this is because more modern retailers have emerged such as Alfamart and Indomart, so that retailers from the area themselves must be ready to compete, 2) What makes the Tifany Mini Market survive in the midst of the booming modern retail business is in the success of the Tifany Mini Market, the first thing to do is to maintain product quality, in addition to the quality of service and trust in consumers for loyal customers are allowed to be in debt so that consumers remain loyal to the Tifany Mini Market. In addition, continuing to add appropriate and more adequate facilities so that customers feel safe and comfortable when they are in the store and supported by a strategic location makes the Tiffany Mini Market able to successfully survive and compete amidst the booming retail business.

Indonesia's computer retail industry is becoming increasingly competitive due to rapid technological advancements and evolving consumer preferences. PT Griyacom, a computer retail company in Bandar Lampung, faces challenges in sustaining its competitiveness amid these market dynamics. This study examines the business strategies adopted by PT Griyacom to enhance its competitive advantage using a qualitative approach with a case study method. Data was gathered through in-depth interviews with company management, direct observations, and document analysis, while data analysis followed the Miles and Huberman model, encompassing data reduction, data presentation, and conclusion drawing. The findings indicate that PT Griyacom has implemented various business strategies, including improving customer service, expanding product diversification, and utilizing digital marketing. However, the company still faces challenges such as intense price competition and the need for greater technological innovation. Based on these findings, this study offers strategic recommendations for PT Griyacom to strengthen its market position by optimizing digital marketing efforts, enhancing operational efficiency, and reinforcing product differentiation.

The implementation of this community service program aims to modernize the production equipment used by a housewife business group and enhance the branding of their enterprise. This initiative is carried out to improve production efficiency, enhance the neatness of product packaging, and meet the requirements for entry into major retail stores. This effort includes procuring new production equipment, such as digital scales and an electric sealer, as well as applying for a P-IRT (Household Industry Food Production) permit. The results indicate that product weights are now standardized across all packaging, and the packaging appearance has improved significantly. Additionally, production time has increased, as multiple people can now participate in the packaging process using the electric sealer, unlike the previous situation where only one person could operate the packaging process.

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.

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.