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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.    

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.

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.

The issue of plastic bags continues to be a significant topic globally in waste management. Their relatively low cost, ease of use, and accessibility have made plastic bags an integral part of human life. With increasing plastic bag usage, inevitably comes an increase in plastic waste. Moreover, the rapid usage cycle of plastic bags, as they are typically single-use items used only temporarily, exacerbates the problem. If plastic waste is not optimally managed, it will have negative environmental impacts. To address this, the retail company Alfamart has begun employing green marketing strategies to promote the "Plastic Bag Diet" by offering environmentally friendly shopping bag products (Eco Bags). This aims to raise awareness and concern among the public for environmental sustainability by reducing plastic bag usage during shopping. Apart from Alfamart, other competing retail companies have also adopted similar strategies and offer eco-friendly bag products. The intensifying competition among retail companies forces managers to reconsider their strategies to win market share. The issuance of the Bali Provincial Regulation on Limiting Single-Use Plastic Waste is based on Article 12 paragraph (3) and Article 13 paragraph (2) of Bali Provincial Regulation Number 5 Year 2011 concerning Waste Management. This reflects the negative impacts that can arise if waste is not properly managed. The enactment of local regulations prohibiting the use of single-use plastic indicates a legal policy direction towards environmental conservation. The research method used in this study is a juridical normative method with a literature review approach, focusing on legal norms including principles, norms, rules, regulations, agreements, and doctrines. Therefore, this study aims to analyze the effects of green marketing on attracting purchasing interest and persuading the public to make purchasing decisions on Eco Bag products at Alfamart as alternatives to plastic bags.

Effective time management is a key factor in improving efficiency in an office environment. This article reviews various time management strategies and principles that can be applied in the office to increase productivity and create a balance between work and personal life. Retail company Yomart serves as a case study that demonstrates the implementation of best practices in time management, from the use of advanced technology to proper prioritization. Through these proactive measures, the company has managed to gain a deeper understanding of the importance of time management in achieving success and sustainability in a competitive market.

In a competitive business environment, understanding customer behaviour and improving retention strategies are critical to a company's success. Many companies struggle to identify valuable customers, understand their needs, and develop effective marketing strategies. One method that has proven effective is Recency, Frequency, and Monetary (RFM) analysis, which measures customer value based on three dimensions: when the customer last made a purchase, how often they transact, and how much money they spend. This research focuses on applying the RFM method with Python for customer segmentation in a retail company. By analysing customer transaction data, this research shows how RFM analysis can provide deep insights into customer behaviour and assist in the development of more targeted marketing strategies. The ultimate goal is to improve customer retention and maximise the return on investment (ROI) of marketing activities. This research offers practical solutions to common challenges in customer relationship management and contributes to the development of more efficient data-driven marketing methods.