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King Royal Hotel Restaurant still applies manual sales transaction recording, causing data management and revenue report preparation to be less than optimal. This study aims to design and implement a Flutter-based sales and revenue reporting application that utilizes local storage as a data storage mechanism on the device. The system development method used is the Waterfall method, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. The application was developed using the Flutter framework with the Dart programming language and utilizes the shared_preferences and hive packages for local data management on the device without requiring an internet connection or external database server. In addition, the application is designed to be easy for restaurant employees to use in recording daily transactions more quickly and accurately. Testing was conducted using the Black Box Testing method, which showed that all application features functioned according to functional requirements. The results of the study indicate that the Flutter-based application with a local storage approach is capable of improving transaction recording efficiency and generating revenue reports automatically at King Royal Hotel Restaurant.

This study aims to design and develop a web-based sales information system for a goat farming business at Herman Farm using the Rapid Application Development (RAD) method. The identified problems include manual transaction recording, stock management, and sales reporting processes, which are inefficient, prone to errors, and unable to provide real-time data access. The RAD method is selected due to its ability to accelerate system development through an iterative approach and active user involvement in each stage, including requirements planning, system design, construction, and implementation. Data collection techniques include observation, interviews, and literature studies. The developed system provides features for managing goat data, sales transactions, customer management, and integrated sales reporting within a web-based platform. The results show that the system improves efficiency in data management and transaction processes, while producing more accurate, structured, and accessible reports. Therefore, this system can assist Herman Farm in optimizing its sales operations and expanding its online marketing reach.

The results of the study show that pricing strategy contributes dominantly to increasing sales, but the lack of digital promotion causes limited market reach. Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in driving national economic development and providing employment. However, in facing an increasingly competitive market, MSMEs need to implement efficient marketing strategies to ensure sustainability and sustainable growth. This community service activity aims to provide knowledge and assistance to Indonesian Es Teh MSMEs regarding the implementation of flexible marketing strategies, both through digital and traditional channels. The activity took place at the Es Teh Kampung Solo outlet in Kramatwatu Square. The methods used included counseling, training, and assessment of marketing strategy implementation, with a primary focus on optimizing social media as an interactive and competitive digital promotional tool. The results of this activity demonstrated a significant increase in MSMEs' understanding of strategic marketing planning, promotional innovation, and the use of digital platforms to expand market reach. Thus, it is hoped that digital-based marketing strategies can strengthen the competitiveness and sustainability of MSMEs. This activity is expected to contribute to increasing the competitiveness and sales volume of the Kampung Solo Es Teh MSME in a sustainable manner through the implementation of a modern marketing approach that is responsive to technological changes.

The coffee shop industry in Indonesia is experiencing rapid growth that requires business owners to optimize data-driven strategies. This study aims to analyze customer preferences at Semanis Coffee and Resto using data mining methods  to support more effective business decision-making. The method used is Market Basket Analysis with the FP-Growth algorithm for association rule mining and the K-Means algorithm for customer segmentation. The research data consists of 672 sales transactions during the March-May 2025 period. The results of the association analysis with a minimum support of 0.004 and a minimum confidence of 0.2 resulted in five valid rules with a lift ratio above 1. The strongest rule is the combination of Americano→Milk Choco with a confidence of 42.9% and an elevator ratio of 5.229, indicating a strong linkage between products. The most popular products are Milk Choco (10.8%) and Americano (8.5%). Customer segmentation analysis identified three clusters: Cluster 0 (Loyal Customers) 80% with high frequency but low transaction value; Cluster 1 (Occasional Customers) 10% with low activity; and Cluster 2 (Large Buyers) 10% with high transaction value but low frequency. This study concludes that product bundling strategies, loyalty programs, reactivation campaigns, and premium services can be applied to increase the effectiveness of coffee shop businesses.

This study focuses on the elements of gharar (uncertainty), tadlis (fraud), and breach of contract in examining multiple transactions of a single land object from the standpoint of Islamic economic law. The rising frequency of disagreements over land purchases and sales brought on by the same seller engaging in overlapping transactions, unclear ownership status, and a lack of transparency has prompted this research. This study aims to investigate the effects of these activities on Indonesian positive law and Islamic economic law. This case study employed an empirical legal approach and was carried out in Grogol Village, Tulangan District, Sidoarjo Regency. Data was gathered through observation, interviews, and documentation by the buyer, seller, and local authorities. The findings indicate that due to unclear land boundaries and ownership status, the transaction contained significant elements of gharar and tadlis because the seller concealed important information about the previous transaction. Furthermore, the seller's failure to fulfill obligations stipulated in the contract constitutes a breach of contract under positive law. This study demonstrates that these practices not only violate legal regulations but also contradict the principles of Islamic economic law such as justice, transparency, and good faith. According to this study, legal awareness, administrative accuracy, and institutional oversight are vital to prevent such issues in the future.

Amid intense market competition, the profitability of manufacturing companies is not solely determined by sales volume but is highly dependent on the precision of financial management, particularly in managing the working capital cycle and operating cash flow circulation. This study aims to evaluate the relationship between Working Capital Turnover (X1) and Operating Cash Flow (X2) on Profitability (Y) in consumer goods industry companies listed on the Indonesia Stock Exchange during the 2022–2024 period. Using a quantitative approach and multiple linear regression analysis, this study processes 77 observations that have passed purposive sampling and outlier testing. The partial test results reveal contrasting findings: Working Capital Turnover (X1) does not have a significant effect on profitability, while Operating Cash Flow (X2) is proven to be a strong positive determinant. However, simultaneously, both variables have a significant influence on the financial performance of companies (Fhitung 24,008 > Ftabel 3,08), with operating cash flow acting as the dominant driving factor of profit. The implications of these findings emphasize that to maintain profit stability, management should prioritize the availability of cash generated from core operations, while investors should be more attentive to cash flow trends as an indicator of fundamental financial health before making investment decisions.

Advances in information technology have brought significant changes to how Micro, Small, and Medium Enterprises (MSMEs) conduct their business operations, particularly in the areas of marketing and sales. However, Stretto Pizza MSME still relies on manual processes for ordering and transaction recording, which results in limited marketing reach, suboptimal data management, and an increased risk of errors in recording. This study aims to develop a web-based e-commerce information system that can integrate sales processes and data management more effectively. System development was conducted using the Waterfall method, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. The system was built using the PHP programming language with MySQL database support. System testing was performed using the Black-Box Testing method to ensure that every feature functions according to user needs. The research results show that the designed system is capable of supporting product ordering processes, customer data management, sales transactions, and report generation more efficiently. With this system, it is hoped that the Stretto Piza SME can improve its operations while expanding its marketing reach through the use of digital technology.

This study aims to determine the effect of product availability, communication effectiveness, and promotional strategy on sales volume at PT.Distribusindo Cemerlang Jaya, a cosmetic and skincare distribution company in Batam city. The background of this research is based on pre-survey result indicating suboptimal sales volume along with operational challenges including stock shortages, communicatiob gaps, and limited promotional activities.ths research employs a quantitative method. The population consist of all comsumers, with a sample of 43 respondent selected using a saturated sampling technique. Data were collected through questionnaires using a likert scale and analyzed using validity and reliability test, classical assumption tests, multiple linear regression, t-test, F-test, and coefficient of determination (R²) with SPSS. Result show that partially, product availability does not significantly affect sales volume (sig. 0,313 > 0,05), and communication effectiveness also does not significantly affect sales volume (sig. 0,898 > 0,05). However, promotional strategy has a positive and significant effect  on sales volume (sig, 0,000 < 0,05). Simultaneously, all three variables significantly affect sales volume (F = 212.642, sig. 0,000 < 0,05). The coefficient of determination (R²) is 0,942 indicating that 94,2% of the variation in sales volume is explained by the three independent variables. Promotional strategy is the most dominant factor influencing sales volume is explained by the three independent variables. Promotional strategy is the most dominant factor influencing sales volume at PT.Distribusindo Cemerlang Jaya.  

The rapid development of information technology requires adaptation across various business sectors, including small and medium enterprises (SMEs). BUMDes Poto Bo’o, located in Wolotopo Village, Ndona Timur District, still manages sales data manually using ledger books. This practice leads to several issues, such as data inaccuracies, lack of automatic inventory updates, and delays in report generation.This study aims to design and implement a basic necessities (sembako) sales information system for the BUMDes. The system development method used is the waterfall model, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The system is developed using PHP programming language and MySQL database.The main features of the system include product management, customer management, transaction processing, tracking of incoming and outgoing goods, and real-time sales reporting. The results show that the developed information system improves transaction recording accuracy, enhances inventory data accuracy, and accelerates the sales reporting process.Therefore, the system is expected to improve the operational efficiency of BUMDes Poto Bo’o, support financial management transparency, and increase public trust in the performance of the village-owned enterprise.

In the era of digital transformation, the utilization of information technology in business activities has become an important factor in improving operational efficiency and effectiveness. Dzikri Baby Shop, a business engaged in the sale of baby equipment, still faces challenges in managing sales transactions and inventory manually, which may lead to recording errors, process delays, and less optimal customer service. This study aims to design and develop a sales information system for Dzikri Baby Shop to support digital transformation in its business processes. The system development method used in this research is Rapid Application Development (RAD), as it enables software to be developed in a relatively short time through an iterative approach and active user involvement. The system developed includes product data management, sales transaction processing, inventory control, and report generation. The testing results using the Black Box Testing method show that all system features function in accordance with user requirements. Therefore, the implementation of this sales information system is expected to improve operational efficiency, accelerate transaction processes, minimize errors in data management, and enhance the quality of customer service.

This study aims to analyze the effectiveness of Rengginang MSME registration on Google Maps as a strategy to strengthen the economy in Pahang Village, Babata Village. The background of the research shows that most MSMEs still rely on conventional marketing so that business visibility is relatively low. With a qualitative case study approach, this study explores the experience of the owner of Rengginang Azam MSMEs, Mrs. Siti, who registered her business location on Google Maps. The results of the study show that digitalization through Google Maps has a positive impact in the form of increasing accessibility and reach for customers, especially from outside the village. Location registration allows customers to find more complete information about products and locations, increasing the number of visits to the store. The real impact felt is an increase in sales and profits without additional promotional costs. This study concludes that the use of Google Maps as a digital promotional medium is an effective strategy in strengthening the competitiveness of MSMEs in the digital era. In addition, this finding confirms the importance of digital literacy for MSME actors to utilize technology as a means of business development and strengthening the local economy.

Digitalization is an effort to utilize digital-based technology to transform previously conventional work systems into more efficient and effective ones, including in the management of micro, small, and medium enterprises (MSMEs). This study aims to apply digitalization to corn-based coffe MSMEs in Talang Balai Baru 1 Village, Tanjung Raja District, Ogan Ilir Regency. The research method used is a descriptive qualitative approach with data collection techniques through interviews, observation, and documentation. The research findings indicate that the production and marketing activities of corn coffe MSMEs still use conventional methods. The implementation of digitaization has not been optimally implemented due to the low digital literacy of business owners and limited time in business managemen. Nevertheless, the initial implementation of digitalization through the use of social media and online sales platforms has had a positive impact in the form of expanding market reach and increasing ease of communication between producers and consumers. Thus, the digitalization of corn coffe MSME products has great potential to increase competitiveness and business sustainability if implemented gradually and continuously. .

This study aims to examine the effect of Asset Structure, Profitability and Sales Growth on Capital Structure at PT Industri Jamu Dan Farmasi Sido Muncul Tbk for the 2014-2024 period, both partially and simultaneously. Asset structure is measured by total assets, profitability is measured by return on assets, sales growth is measured by sales growth, and capital structure is measured by debt to equity ratio. This study is a quantitative study with an associative approach. The data used in this study are the balance sheet and income statement of PT. Industri Jamu Dan Farmasi Sido Muncul Tbk for the 2014-2024 period. The method used in this study is multiple linear regression analysis techniques, classical assumption tests, t-tests, f-tests and coefficients of determination processed using the SPSS 26 program. The results of the study show that asset structure does not affect capital structure with a calculated t value of 2.288 t table 2.365. Sales growth does not affect the capital structure with a calculated t value of -0.203 < t table 2.365. And simultaneously, Asset Structure, Profitability and Sales Growth have an influence on the Capital Structure of the Company PT Industri Jamu Dan Farmasi Sido Muncul Tbk. Proven from the results of the f test, the calculated f value is 8.083 > f table of 4.35 and the sig value is 0.011 < 0.05.

This research aims to evaluate the effectiveness of Online Travel Agent (OTA) distribution channels in influencing room sales volume and net profit for hotels in Java. Although OTAs have become a primary distribution choice that successfully boosts sales figures, there is still a lack of research highlighting the impact on net profitability due to high commission costs.Using a quantitative associative method through panel data regression analysis, this study examines the causal relationship between the proportion of sales made via OTAs and two performance indicators over a two-year period (2021–2023). The primary findings reveal a dual effect:OTA Distribution Channels have a positive and significant influence on Room Sales Volume (supporting Hypothesis H1).Conversely, OTAs have a significant negative impact on Hotel Profit Margins (supporting Hypothesis H2), indicating a substantial financial trade-off.The contribution of this research is to provide balanced empirical evidence regarding volume gains versus margin losses resulting from OTA usage. The managerial implications suggested by these findings are that hotels need to implement distribution strategies focused on Net Revenue Management and channel mix optimization to achieve a balance between volume requirements and profitability.

The advancement of information technology has rapidly transformed trading patterns in Indonesia, shifting from conventional transactions to online transactions through marketplace platforms. On one hand, this transformation provides convenience and efficiency for both businesses and consumers. On the other hand, it has also given rise to various legal issues, particularly regarding consumer protection. This article aims to examine how legal protection for consumers is implemented in electronic sales agreements on marketplaces, while also identifying the obstacles encountered during its implementation. The study employs a normative juridical approach, using conceptual analysis and legislative review, supplemented by empirical data obtained from interviews. As described, legal protection for consumers in electronic transactions in Indonesia remains suboptimal. Specifically, these challenges include biased law enforcement, low levels of consumer literacy, and ineffective dispute resolution mechanisms. In practice, marketplaces have incorporated consumer protection features such as escrow systems, refund mechanisms, and complaint centers; however, their implementation still suffers from limited transparency and effectiveness. Furthermore, existing regulations are slow to respond to the dynamics of cross-border transactions and ongoing digital innovations. Therefore, comprehensive regulatory reform, stronger enforcement, and enhanced legal and digital literacy among the public are necessary to ensure effective consumer protection.

This study aims to examine how the implementation of Integrated Marketing Communication (IMC) carried out by Friendshub contributes to building and strengthening brand awareness. Employing a descriptive qualitative approach and a case study method, data were collected through in-depth interviews with the core team of Friendshub and documentation of marketing activities, which were then thematically analyzed to explore communication patterns and creative strategies applied. The findings reveal that Friendshub integrates six elements of IMC as proposed by Belch and Belch (2021)—advertising, sales promotion, public relations, personal selling, direct marketing, and digital/interactive marketing—implemented across various channels such as social media, WhatsApp, email blasts, and event organization that emphasizes direct experiential engagement. The success of this implementation is supported by close communication with clients, consistent visual identity, and the adaptability of messages to audience needs, while challenges include limited budgets, dependence on client briefs, and short execution timelines. These findings highlight that consistent, creative, and adaptive IMC practices are not only effective in enhancing brand awareness but also in strengthening long-term relationships between Friendshub as a brand and its audience, thereby contributing positively to the sustainability of its image and corporate growth.

This study aims to analyze consumer purchasing behavior on e-commerce platforms using the Decision Tree algorithm as an easily interpretable classification method. The dataset used consists of 12,330 transaction records with 18 attributes representing visitor characteristics and user activities during interactions with the e-commerce platform. The research stages include data exploration to identify initial patterns, data preprocessing to handle missing values and class imbalance, splitting the data into training and testing sets, training the Decision Tree model, evaluating model performance, and visualizing the tree structure to analyze decision rules.The test results show that the Decision Tree model with a maximum depth of 3 achieves fairly good performance, with an average accuracy of 89.78%, precision of 69.82%, recall of 59.95%, and an F1-score of 64.51% for the buyer class. The visualization of the decision tree provides clear interpretation of the main attributes influencing purchasing decisions, thereby facilitating understanding for non-technical decision makers. Overall, this study demonstrates that the Decision Tree method is effective in modeling consumer purchasing behavior in e-commerce and can be utilized as a basis for data-driven business decision making, particularly in marketing strategies and improving sales conversion rates.

This research presents the development of a transaction data protection mechanism for a bouquet sales application by utilizing the Advanced Encryption Standard (AES) algorithm. The rapid growth of digital commerce has led to an increase in online transactions, which in turn raises serious concerns regarding the security of sensitive transaction data. Information such as customer identities, order details, delivery addresses, and payment data are vulnerable to unauthorized access, data leakage, and manipulation if not properly secured. To address these issues, this study applies the AES-128 encryption algorithm using a 128-bit secret key to secure transaction data before it is stored in the system database. The encryption process follows the standard AES workflow, including key expansion, initial transformation, multiple encryption rounds, and a final transformation stage. Decryption is restricted exclusively to authorized users who possess the correct encryption key. The research methodology includes system analysis, AES integration into the application, and functional testing of the encryption and decryption processes. Data integrity is validated by comparing the original plaintext with the decrypted output, while system performance is evaluated based on processing time and decryption accuracy. Experimental results indicate that the average encryption and decryption time remains under 10 milliseconds per transaction, without affecting system performance. The findings confirm that AES-128 effectively enhances transaction data confidentiality and integrity in the bouquet sales application

This community service activity aims to improve the capacity and strengthen the digital literacy of Micro, Small, and Medium Enterprises (MSMEs) in Klambir Lima Kebun Village, Hamparan Perak District, in utilizing digital technology as a means of marketing their products. The main problems faced by MSME players in this village are a low understanding of digital marketing strategies, limited effective use of social media, and a lack of ability to manage digital content that is attractive and suitable for the target market. Through this community service activity, participants were equipped with basic knowledge and digital literacy, digital marketing strategies, the use of e-commerce platforms, and techniques for creating photo and video-based promotional content. The implementation methods included socialization, practical training, and mentoring for community service participants. The results of the activity showed an increase in the understanding and skills of MSME actors in managing digital business accounts and utilizing social media such as Instagram, Facebook, and WhatsApp Business as effective marketing tools. With this activity, it is hoped that MSME actors in Klambir Lima Kebun Village will be able to expand their market reach, increase sales, and adapt to the development of the digital economy in a sustainable manner.

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.