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This research aims to design a web-based inventory accounting information system at MF Shoppu cosmetic store which has been recording inventory manually. This manual recording makes it difficult for shop owners to monitor stock items in real-time, causing delays in order fulfillment and potential losses due to retail purchases. The research method used is the Waterfall approach, which includes the stages of requirements analysis, system design, implementation, testing, and maintenance. The results of this study indicate that the inventory accounting information system developed can assist store owners in managing inventory data automatically and in real-time. Thus, this system is able to improve the efficiency of inventory management and help store owners in making faster and more accurate decisions.

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.

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.

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 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.

MSMEs play an important role in the global economy, driving job creation, innovation, and economic growth. However, there are challenges such as financing and regulatory burdens caused by, among other things, difficulties in preparing financial reports. These obstacles begin with several issues, namely the loss of invoices, which makes it difficult to gather data for financial report preparation, discrepancies in stock between the cashier application and physical counts, and ineffective stock opname. Based on these issues, the objective of this Community Service is to provide an overview of ideas for optimizing the work system at MSME MESMart and to assist in the preparation of financial reports easily using a cloud-based accounting application called Jurnal Bijak. With the implementation of community service, it is hoped that various problems arising from obstacles in financial report preparation can be minimized. The method used is Participatory Action Research (PAR), involving active participation from participants to identify problems and seek solutions collaboratively. The results of this activity can implement work programs, from optimizing store program, creating cloud-based financial reports, and arranging store displays.

In the era of modern free trade, competition in the retail industry has become increasingly fierce, prompting Golden Swalayan, a shopping center in Kediri City, to continuously enhance its sales to remain competitive. This study aims to analyze the influence of sales promotion and shopping lifestyle on the Impulse Buying behavior of Golden Swalayan customers. Using a quantitative method, data was collected through questionnaires distributed directly to 100 customers using purposive sampling techniques. Data analysis was conducted using multiple regression and hypothesis testing. The results of the study show that, both partially and simultaneously, sales promotion and shopping lifestyle have a significant influence on Impulse Buying. Based on these findings, Golden Swalayan is advised to regularly increase cashback promotions and expand its product collections to align with customers' hobbies and needs, thereby boosting Impulse Buying.

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.  

CV Mitra Mulia Gamping Merupakan distributor resmi yang mendistribusikan produk danone yang terdiri dari air minum dalam kemasan (AMDK) dengan AQUA. CV Mitrs Mulia Gamping didiriksn pada tahun 2006, CV Mitra Mulia Gampirng memiliki target penjualan galon sejumlah 130,000 galon pada bulan Januari dan target Aqua kardus sejumlah 104,000 pada bulan Januari, jumlah target galon setiap harinya yaitu sejumlah 5.000 galon dan jumlah target harian untuk Aqua karton sejumlah 4.000 karton, pada bagian sales marketing yang berjumlah 10 orang dimana 8 orang pada bagian sales retail memiliki jumlah target yang sama sejumlah 375 galon pada setiap harinya dan terdapat 2 orang pada bagian sels Pareto dengan target penjualan sejumlah 1000 galon pada setiap harinya. Namun pada bulan Januari 2024 perusahaan ini mengalami penurunan penjualan khususnya pada penjualan Aqua galon, pada bulan januari perusahaan ini hanya mampu menjual 80.000 galon Aqua sedangkan target penjualan galon sebesar 130.000 galon yang artinya hanya mendapatkan 70% penjualan, sedangkan penjualan pada Aqua kardus sebesar 100.000 kardus. Tujuan dari penelitian ini antara lain untuk mengetahui factor dan atribut mana yang mempengaruhi tingkat kepuasan pelanggan dengan melakukan pengolahan menggunakan metode Kano Model. Berdasarkan dari penelitian ini greade M dimana apabila kinerja atribut ini rendah maka kepuasan pelanggan akan sangat menurun, atribut yang masuk pada kategori tersebut yakni P2(Apakah promo produk selalu disampaikan), P4(Bagaimana respon sales apabila toko melakukan order diluar rute kunjungan), P10(Apakah pengirim selalu meminta imbalan saat proses pengiriman), P15(Apakah produk competitor lebih menarik dibandingkan dari Aqua).

CV Mitra Mulia Gamping Merupakan distributor resmi yang mendistribusikan produk danone yang terdiri dari air minum dalam kemasan (AMDK) dengan AQUA. CV Mitrs Mulia Gamping didiriksn pada tahun 2006, CV Mitra Mulia Gampirng memiliki target penjualan galon sejumlah 130,000 galon pada bulan Januari dan target Aqua kardus sejumlah 104,000 pada bulan Januari, jumlah target galon setiap harinya yaitu sejumlah 5.000 galon dan jumlah target harian untuk Aqua karton sejumlah 4.000 karton, pada bagian sales marketing yang berjumlah 10 orang dimana 8 orang pada bagian sales retail memiliki jumlah target yang sama sejumlah 375 galon pada setiap harinya dan terdapat 2 orang pada bagian sels Pareto dengan target penjualan sejumlah 1000 galon pada setiap harinya. Namun pada bulan Januari 2024 perusahaan ini mengalami penurunan penjualan khususnya pada penjualan Aqua galon, pada bulan januari perusahaan ini hanya mampu menjual 80.000 galon Aqua sedangkan target penjualan galon sebesar 130.000 galon yang artinya hanya mendapatkan 70% penjualan, sedangkan penjualan pada Aqua kardus sebesar 100.000 kardus. Tujuan dari penelitian ini antara lain untuk mengetahui factor dan atribut mana yang mempengaruhi tingkat kepuasan pelanggan dengan melakukan pengolahan menggunakan metode Kano Model. Berdasarkan dari penelitian ini greade M dimana apabila kinerja atribut ini rendah maka kepuasan pelanggan akan sangat menurun, atribut yang masuk pada kategori tersebut yakni P2(Apakah promo produk selalu disampaikan), P4(Bagaimana respon sales apabila toko melakukan order diluar rute kunjungan), P10(Apakah pengirim selalu meminta imbalan saat proses pengiriman), P15(Apakah produk competitor lebih menarik dibandingkan dari Aqua).

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.