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A suitable and targeted marketing plan is required because of the intense competition in the retail drinking water sector. Customer segmentation using RFM (Recency, Frequency, and Monetary) analysis is one of the techniques employed. Additionally, K-Means clustering, a clustering technique based on machine learning, is employed. This study's goal is to present the findings in the form of graphs that can be used to examine consumer trends according to their attributes. With a value of 10286, the Calinski Harabaz index is a suitable metric to move on to the segmentation step in this study, which also tests three metrics using the clustering method. An ideal cluster is created for every cluster evaluation by dividing the Calinski Harabaz index into three more manageable clusters. This contrasts with other evaluation metrics that only yield two clusters. For instance, when XYZ drinking water sales transaction data was distributed, it was discovered that, out of the total drinking water sales, woodsale had 422 customers, diamond had 1061 customers, and star diamond had 2005 customers. The management of the XYZ drinking water company and other marketing fields are expected to encounter more intense competition as a result of the study's findings.

PT. XYZ is one of the largest retail companies in Indonesia. PT. XYZ has a website-based application that functions to help employees who work in IT Support to handle operational problems. However, this website has not implemented a session management system which can affect the level of security. Therefore, a system design was created for real-time session management using Firestore, Python, and Javascript. Firestore is used as a database to store sessions and Firestore has a feature called the Firestore snapshot listener which functions to detect changes in real-time. The research method includes identifying needs, initial prototype design, prototype creation, prototype evaluation, prototype refinement, and system implementation. Black Box Testing is used as a method for testing this system, where the results are in accordance with the needs and interviews are conducted with the admin of this website to test the session management system and find out the admin's response regarding the designed session management system. The results obtained are satisfactory because security can be further improved, user experience is improved, and the company's needs can be achieved.

The retail grocery business is an important part of the traditional market economy. However, most micro-businesses still face limitations in financial management and inventory control. This community service activity aims to improve the capacity of retail grocery businesses in Bolu Market, Tallunglipu District, through assistance with simple financial record-keeping and inventory management based on sales data. The implementation methods included observation, socialization, training, and direct assistance to business partners. The results of the activity showed an increase in the partners' understanding of the importance of financial recording and inventory, as well as their initial ability to implement daily business recording. This activity contributed to improving business efficiency and supporting the sustainability of micro businesses in traditional markets. Furthermore, business partners have demonstrated improvements in more structured inventory management, resulting in reduced waste and stock discrepancies. This initiative is expected to have a long-term impact on developing the capacity of micro-entrepreneurs in traditional markets.

This study aims to analyze the influence of accountability and transparency principles on financial management in feed retail micro, small, and medium enterprises (MSMEs) in West Lampung Regency. Accountability and transparency are considered essential aspects of good governance implementation, which play a crucial role in building trust and improving the financial effectiveness of small enterprises. The research applies a quantitative approach through a survey distributed to customers and farmers using a Likert-scale questionnaire. Data were analyzed using multiple linear regression to examine the effect of accountability and transparency on financial management perception.. The results indicate that both variables have a positive and significant influence on customers’ and farmers’ perceptions. The implementation of accountability and transparency strengthens public trust and enhances the professionalism of financial management practices in MSMEs, particularly in feed retail businesses.

Regional economic development requires understanding the structure and performance of economic sectors to create effective policies. PadangiCity, the capital of West SumatraiProvince, plays a strategic role in the regional economy. However, differences in sector contributions and growth indicate structural imbalances that need attention. This studyiaims to identify leading and potential economic sectors in Padang City to support sustainable development planning. The study uses Location Quotient (LQ), iDynamic Location Quotient (DLQ), and the Growth Ratio Model (GRM) to analyze secondary data on GrossiRegional Domestic Product (GRDP) at constant 2010 prices from 2020 to 2024, sourced from the CentraliBureau of Statistics of Padang City and West Sumatra Province. LQ results show that most sectors in Padang City are base sectors, especially business services, transportation and warehousing, ifinancial and insurance services, real estate, and wholesale and retail trade. DLQ analysis indicates that mining and quarrying, trade, transportation and warehousing, iinformation and communication, and health and social services have higher growth prospects than the reference region. GRM results show that trade, information andicommunication, real estate, health services, andiother services are leading sectors with good performance and growth potential. In contrast, agriculture, manufacturing, and construction are still lagging sectors. These findings highlight a structural shift in Padang City’s economy toward service-sector dominance and underline the need for sustainable, inclusive, and adaptive development policies to support long-term economic growth.

Butgeting is an important instrument in managing retail businesses such as Toko Harapan Teknik Boyolali, as it functions as a tool for planning, control, and evaluation of company performance. Budget effectiveness is influenced by both internal and external factors of the organization. This study aims to analyze the effect of company performance and environmental uncertainty on budget effectiveness at Toko Harapan Teknik Boyolali. This research employs a qualitative approach using a library research method by reviewing and synthesizing information from various sources, including books, scientific journals, and previous studies. The results indicate that company performance has a positive effect on budget effectiveness, as good performance supports more realistic and accurate budget preparation. In addition, environmental uncertainty, such as changes in market conditions, business competition, demand fluctuations, and economic dynamics, can hinder budget effectiviness. Simultaneously company performance and environmental uncertainty influence the success of budgeting. Therefore, companies need to improve performance and implement flexible and adaptive budgeting systems to address environmental uncertainty.

The retail industry generates an extremely large and continuously growing volume of transactional data along with the advancement of digital technology, thereby requiring sophisticated and systematic data analysis approaches to support effective and evidence-based business decision-making. This study aims to analyze retail sales data by utilizing the Retail Sales Dataset obtained from the Kaggle platform, which consists of 100,000 transaction records and broadly represents the characteristics of retail transactions. The main focus of this study is to classify product categories and predict customer segments, including the identification of high-spending customers (high spenders), based on demographic attributes such as age and gender, as well as various transaction-related features. The research methodology includes data preprocessing, label encoding, and feature engineering to generate additional variables, including Age_Group, Is_Holiday, and Spender_Group, which are expected to enhance the predictive capability of the models. Several machine learning algorithms, namely Decision Tree, Random Forest, and XGBoost, were implemented and evaluated to compare their respective performance. The experimental results indicate that multiclass product category classification achieves relatively low accuracy, ranging from 27% to 34%. These findings suggest the high complexity of retail data and highlight the need for further model optimization, class balancing techniques, and feature refinement to improve predictive performance in future studies.

This study examines the implications of the micro-shopping phenomenon and omnichannel integration for market structure and competitive dynamics in Indonesia’s retail sector from an industrial organization perspective. The transformation of modern retail is characterized by a shift toward small-value, high-frequency transactions alongside increasing integration between physical stores and digital channels. Employing a descriptive-analytical approach, this study utilizes secondary data on market shares and the number of retail outlets operated by major firms during the 2022–2024 period. Market structure is assessed through market share distribution, outlet ownership ratios, the four-firm concentration ratio (CR4), and the Herfindahl–Hirschman Index (HHI). The results indicate that Indonesia’s retail market exhibits a highly concentrated, network-based oligopolistic structure. The dominance of large retail firms is reflected not only in their substantial market shares but also in their dense outlet networks, which enable the aggregation of dispersed micro-shopping transactions. Furthermore, omnichannel integration reinforces these structural advantages by enhancing logistical coordination and distribution efficiency. Overall, the findings suggest an increasing tendency toward market consolidation and a declining competitive space for small and traditional retailers, highlighting important implications for competition policy and the long-term sustainability of retail market structure.

The development of the retail sector, especially with the rise of modern retail and franchise minimarkets, encourages small-scale retail businesses to adapt through effective marketing strategies. This study aims to analyze the implementation of retail promotion management at Toko SRC Satria and its role in increasing consumer buying interest and loyalty. Using a qualitative approach with a descriptive method, data was collected through observations, in-depth interviews, and documentation with the store owner and consumers. The results show that Toko SRC Satria has implemented a planned retail promotion management strategy, even on a small scale, including neat product arrangement, attractive display usage, discounts, bundled offers, and intense direct communication between the store owner and consumers. The application of these strategies creates a comfortable shopping experience and increases consumer interest in making purchases. This study also shows that retail promotion management contributes to increasing buying interest, as seen in the stable frequency of visits and the tendency for repeat purchases. A personal approach and friendly service are important factors in building consumer loyalty. The implications of this study suggest that simple yet targeted retail promotion management can enhance competitiveness and support the sustainability of businesses amid fierce competition.

PT Telering Distrindo is a telecommunications distribution and retail company whose operations rely heavily on information systems. As the business expands and transaction volumes increase, higher demands for system security and reliability require a strategic evaluation of information technology (IT) implementation to ensure alignment with business objectives. This study aims to analyze the condition of the IT infrastructure at PT Telering Distrindo and to formulate development strategies using the Ward & Peppard framework. The research methods include literature review, system observation, IT architecture analysis, and interviews with internal stakeholders. The results show that the company has implemented core systems such as aPOSPlus, aBusinessPlus, and the PPOB TR Reload application, which play an important role in supporting business operations. However, several weaknesses remain in system security, integration, and IT risk management. The SWOT analysis identifies strengths in access control and authentication mechanisms, opportunities to leverage security as a competitive advantage, and threats from cyberattacks and high dependency on IT infrastructure. The study concludes that the Ward & Peppard framework provides a comprehensive strategic perspective and serves as a foundation for developing a more structured, secure, and sustainable IT strategy to support business growth.

The use of Information Systems and Information Technology (IS/IT) is a crucial factor in improving the efficiency and accuracy of retail sector operations. PT XYZ, a retail-level staple goods provider, has implemented IS/IT to support sales recording, inventory management, security, and operational reporting. This study aims to assess the effectiveness, efficiency, security, and compliance of the information system used. The audit was conducted through observation, interviews, document review, and system testing, referring to the COBIT framework and the ISO/IEC 27001 standard. The audit results indicated that the system supported core operational functions, but weaknesses remained, including insufficient system documentation, limited access controls, and suboptimal data security and backup mechanisms. Furthermore, reliance on manual procedures has the potential to lead to errors and slow down service delivery. Therefore, system improvements, strengthening security controls, developing standard operating procedures, and enhancing the competency of human resources and IT infrastructure are needed. This audit is expected to support improved service quality and secure, effective, and sustainable IT governance at PT XYZ.

Traditional association rule analysis is effective at uncovering co-purchase patterns but fails to provide a global structural view of the market, which often results in fragmented and isolated insights. This study proposes a hybrid framework that integrates the Apriori algorithm with a Minimum Spanning Tree (MST) in order to validate and contextualize association rules within a single structural backbone. Transaction data from a retail store are transformed into a weighted, undirected product graph using an inverse-support function, and an MST is then extracted to represent the market backbone, while frequent itemsets and strong rules are obtained using Apriori. Experimental results on 236 multi-item transactions show that the MST backbone comprises 10 products and 9 fundamental links, with 66.67% of these links being confirmed by strong association rules, indicating a substantial coherence between statistical and structural evidence. The proposed model identifies 41 Apriori patterns that can be embedded in the MST and ranks them using a new metric, Structural Distance, which enables the categorization of Core Patterns, Bridge Patterns, and Complex Patterns according to their structural tightness. This hybrid perspective distinguishes dense, strategically meaningful bundles from anomalous but frequent combinations that are structurally peripheral, thereby offering a more holistic and actionable alternative to conventional Market Basket Analysis. The validated framework can support various applications, including store layout optimization, cross-selling strategies, and the design of path-based recommender systems, and it opens avenues for future extensions based on dynamic graphs and Graph Neural Networks.

Modern retail expansion in Situbondo Regency has intensified competitive interaction with traditional markets, making it important to map differences in market structure, firm conduct, and performance outcomes. This study compares (i) market structure using concentration indicators (CR4 and the Herfindahl–Hirschman Index/HHI), (ii) competitive conduct (pricing practices, promotional intensity, service attributes, and relationship patterns), and (iii) performance proxies (sales turnover and selected price efficiency measures) within the SCP framework. The analysis applies a descriptive quantitative approach supported by targeted primary observations and questionnaire-based information, and complemented by official statistics and regulatory documents. Traditional-market samples include Panji, Besuki, and Panarukan markets, while modern-retail samples include local outlets of Indomaret, Alfamart, and Basmalah. Results indicate that traditional markets are relatively unconcentrated (CR4 = 38.0%; HHI = 744), consistent with a competitive structure dominated by many small vendors. Modern retail is more concentrated (CR4 = 77.0%; HHI = 1,644), suggesting moderate concentration and a tendency toward local oligopoly. Average monthly turnover per unit is higher for modern retail (IDR 36.36 million) than for traditional vendors (IDR 15.63 million). Price efficiency varies across commodities: some items show near parity, while several fresh commodities remain cheaper in traditional markets. Policy implications point to balanced local governance: zoning and permitting for modern stores, continuous revitalization of traditional markets, and strengthened MSME partnership schemes to ensure healthy and inclusive competition.

The transformation of the retail industry in Indonesia is accelerating in line with increasing digital penetration and changes in consumer shopping behavior. This condition requires small-scale retail, including fresh marts, to be able to optimize effective marketing stimulus to maintain and increase consumer buying interest. This study aims to analyze the role of marketing stimulus consisting of price, product variety, and promotion as a predictor of consumer buying interest using the Stimulus Organism Response (SOR) theoretical approach. This study involved 105 consumer respondents of Rizky Fresh Mart Semarang, who were selected through accidental sampling techniques. Data were collected using a Likert scale questionnaire and analyzed through multiple linear regression. The results showed that product variations had a positive and significant effect on buying interest, while prices and promotions showed a positive but insignificant influence. Simultaneously, the three marketing stimuli have a significant effect on consumer buying interest. These findings confirm that in the context of small-scale retail in Indonesia, product variety is the most powerful stimulus in shaping consumer perception before generating a response in the form of buying interest, according to the SOR model. This research provides managerial implications for retailers to prioritize completeness and product diversity, in addition to more strategic price management and promotion.

Business ventures are activities carried out by individuals or organizations involving the production, sale, purchase, or exchange of goods and services, with the aim of generating profit. A basic necessities store (commonly known as a “sembako” store in Indonesia) sells daily staple needs, especially the nine essential commodities (sembako), which include items such as rice, sugar, cooking oil, eggs, salt, and other key food ingredients. UD. Putri 2, located in Dusun 1A, Sumber Harapan Village (21261), Tinggi Raja Subdistrict, Asahan Regency, was established in 2018 and has since become an essential part of the local community. This has required UD. Putri 2 to constantly monitor their stock inventory. However, the company still faces inefficiencies in managing sales data processing, which often leads to inventory shortages. When the supply of goods is insufficient to meet customer demand, customers may turn to other stores. If this occurs repeatedly, the store risks losing profit due to the unavailability of goods. Supply Chain Management (SCM) refers to the integrated processes and production activities starting from the acquisition of raw materials from suppliers, the value-adding processes that turn raw materials into finished products, the inventory storage process, and the distribution of finished goods to retailers and consumers. The implementation of SCM can optimize inventory management of staple goods, minimize inventory costs, and improve supply chain efficiency at UD. Putri 2.

This study aims to analyze the influence of location, promotion, and service on purchasing decisions at Toko Lia 99 Semarang. The background of this research is based on the increasing competition in the retail business, which requires companies to pay attention to factors that can influence consumers’ purchasing decisions. This study uses a quantitative approach with a survey method. Primary data were obtained through questionnaires distributed to 100 respondents who are customers of Toko Lia 99 Semarang. The research instrument was a questionnaire using a Likert scale. The data analysis technique used is multiple linear regression with the help of SPSS software. The results show that, partially, the location variable has a positive and significant effect on purchasing decisions. The promotion variable also has a positive and significant effect on purchasing decisions. Likewise, the service variable is proven to have a positive and significant effect on purchasing decisions. Simultaneously, location, promotion, and service have a positive and significant influence on purchasing decisions.

This study compares the effectiveness of MAUT (Multi-Attribute Utility Theory), SMART (Simple Multi-Attribute Rating Technique), and WASPAS (Weighted Aggregated Sum Product Assessment) methods in a decision support system for determining the best employees at Sisilia Boutique. The quality of human resources is crucial in the retail business, but performance evaluation is often influenced by subjectivity. To address this, a multi-criteria-based decision support system is needed. MAUT translates preferences into a numerical scale, SMART calculates the average value of attributes based on weights, while WASPAS combines weighted summation (WSM) and weighted multiplication (WPM) for more balanced results. Employee performance data from Sisilia Boutique in June 2025, including attendance, store layout, customer service, and discipline, were used as the research object. The comparison results show consistency in the highest (K3) and lowest (K7) ratings across the three methods, with differences in the middle ratings. WASPAS offers a more balanced distribution of final scores, making it a comprehensive alternative for performance evaluation.

Selecting the right supplier is a critical aspect of supply chain management, especially in a retail business like Parfume Corner, which relies on product quality, availability, and on-time delivery. This study aims to implement the VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) method as a multi-criteria decision-making approach to determine the best perfume supplier. The VIKOR method was chosen because of its ability to handle conflicts between criteria and produce optimal compromise solutions. The evaluation criteria used include product quality, price, on-time delivery, after-sales service, and flexibility in negotiations. Data were collected from five potential suppliers through observation, interviews, and historical transaction documents. The analysis results showed that one supplier obtained the lowest VIKOR index score, thus being determined as the best compromise solution. The implementation of the VIKOR method proved effective in providing objective and transparent recommendations, which can support Parfume Corner's strategic decisions in building long-term partnerships with reliable suppliers. This approach can also be adapted by similar businesses to improve procurement efficiency and quality. The test results obtained were that in the expert test a Good value was obtained, namely 80%, while in the system test a Very Good conclusion was obtained, namely 100%.

The development of the digital era has triggered a significant transformation in consumer shopping patterns, which have now shifted from conventional retail to Quick Commerce (Q-Commerce). This article analyzes the phenomenon of changing consumer behavior driven by preferences for speed, practicality, and time efficiency, with the COVID-19 pandemic as the main catalyst. The study highlights that the success of Q-Commerce is highly dependent on Logistics Service Quality (LSQ), particularly in terms of timeliness, courier interaction quality, and order condition. Despite offering convenience that disrupts physical retail, this business model faces serious sustainability challenges, including high last-mile operational costs, difficulty achieving profitability leading to the closure of several market players, and intense competition from hybrid retail models. In addition, traffic safety issues and increased carbon emissions are highlighted as social and environmental impacts. This study concludes that while Q-Commerce holds great potential, its sustainability requires strategic innovations that balance service speed with cost efficiency and ecological responsibility.vThe development of the digital era has triggered a significant transformation in consumer shopping patterns, which have now shifted from conventional retail to Quick Commerce (Q-Commerce). This article analyzes the phenomenon of changing consumer behavior driven by preferences for speed, practicality, and time efficiency, with the COVID-19 pandemic as the main catalyst. The study highlights that the success of Q-Commerce is highly dependent on Logistics Service Quality (LSQ), particularly in terms of timeliness, courier interaction quality, and order condition. Despite offering convenience that disrupts physical retail, this business model faces serious sustainability challenges, including high last-mile operational costs, difficulty achieving profitability leading to the closure of several market players, and intense competition from hybrid retail models. In addition, traffic safety issues and increased carbon emissions are highlighted as social and environmental impacts. This study concludes that while Q-Commerce holds great potential, its sustainability requires strategic innovations that balance service speed with cost efficiency and ecological responsibility.

The development of social media has significant transformations in the communication strategies of retail companies, particularly in building relationships with customers digitally. In the context of increasingly intense competition, social media no longer functions merely as a promotional channel, but also an interactive space to shape engagement, brand perception, and long-term relationships with customers. TIP TOP Supermarket, as one of the modern retail players in Indonesia, utilizes Instagram as its primary digital communication channel to reach audiences, convey brand values, and build customer engagement. The majority of TIP TOP Supermarket’s customers do not yet possess high levels of digital awareness, resulting in limited engagement with TIP TOP’s activations on Instagram. TIP TOP has not yet implemented a strategic approach in managing its Instagram. This condition constitutes a challenge in Instagram management. This study aims to analyze the stages of research and diagnosis, objective, strategies, tactics, implementation, and reporting-evaluation carried out by TIP TOP Supermarket in building customer engagement. The research employs a descriptive qualitative approach within a positivist paradigm. Data were collected through in-depth interviews with seven key informants from the Marketing and Communications Division, observations, and online documentation. The findings indicate that the management of TIP TOP Supermarket’s Instagram has gone through all stages of the ROSTIR, although several aspects have not yet been fulfilled. The conclusion emphasizes the importance of building a brand identity with consistent characteristics. This study recommends the establishment of a digital community on Instagram and the adoption of a responsive approach toward customers.