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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 analyze the effect of Good Corporate Governance (GCG), Firm Size, and Sales Growth on Financial Performance at PT Ace Hardware Indonesia Tbk listed on the Indonesia Stock Exchange (IDX) during the 2015–2024 period. Good Corporate Governance (GCG) in this study is proxied by institutional ownership, financial performance is measured using Return on Assets (ROA), firm size is measured by the natural logarithm of total assets, and sales growth is measured using the sales growth ratio. This study employed a quantitative method with a descriptive approach. The data used were secondary data in the form of annual financial statements obtained from the official websites of the IDX and the company. Data analysis techniques included descriptive statistics, classical assumption tests, multiple and simple linear regression analysis, and hypothesis testing consisting of t-test, F-test, and coefficient of determination with the assistance of SPSS version 27 software. The results of the study indicate that partially, the Good Corporate Governance (GCG) variable has a t-value of -1.526 < t-table 2.447, meaning that it has no significant effect on financial performance. The firm size variable has a t-value of -2.857 > t-table 2.447, indicating a significant negative effect on the company’s financial performance. The sales growth variable has a t-value of 1.593 < t-table 2.447, meaning that it has no significant effect on financial performance. Simultaneously, Good Corporate Governance (GCG), firm size, and sales growth have a significant effect on financial performance, with an F-value of 13.023 > F-table 4.76 and a significance value of 0.005 < 0.05. This study is expected to provide consideration for management and investors in decision-making and serve as a reference for future research in related fields.

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.

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.

Community service at Toko Entus Collection aimed to improve operational efficiency and sales through the implementation of a digital system. Students actively participated in managing social media, online promotions, and digital stock monitoring. Observations showed that digital media can disseminate product information widely, enhance consumer interaction, and support sales growth. Challenges included limited digital knowledge of the store manager, limited time for promotions, and inconsistent consumer responses. Direct guidance, socialization of digital media use, and adjustment of promotional strategies helped overcome these challenges. Students’ hands-on experience allowed the application of digital marketing theory to real business situations, while store managers benefited from improved operational performance. Therefore, this community service provides dual benefits: practical learning for students and increased competitiveness for SMEs.

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 is motivated by the increasing use of digital technology and the influence of psychological factors, particularly Fear of Missing Out (FoMO), on consumer purchasing decisions, especially in gold investment products. Along with the digitalization of financial services, Pegadaian introduced the Tring! Application as a digital transaction platform expected to increase Galeri 24 gold sales. This study aims to analyze the effect of Fear of Missing Out (FoMO) and the use of the Tring! Application on the increase in Galeri 24 gold sales at Pegadaian Sunter Branch, both partially and simultaneously.This research employs a quantitative method with a descriptive approach. Data were collected through questionnaires distributed to 90 customers of Pegadaian Sunter Branch who have used the Tring! Application. The data were analyzed using multiple linear regression with the assistance of IBM SPSS software, including t-test, F-test, and coefficient of determination. The results indicate that Fear of Missing Out (FoMO) and the use of the Tring! Application have a positive and significant effect on the increase in Galeri 24 gold sales, both partially and simultaneously. These findings highlight the important role of psychological factors and digital application utilization in driving gold product sales growth.

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 in-depth study explores the comprehensive marketing strategies implemented by CV. Logam Jaya Gallery, a leading copper and brass craft business entity in Tumang Village, Boyolali. The research aims to identify the key factors behind the company's resilience in the face of intense industry competition. Using a qualitative approach, operational data was obtained in depth. The results show that the company integrates direct marketing through national and international exhibitions, while optimizing digital channels and e-commerce for broader global market penetration. Despite its success, CV. Logam Jaya Gallery faces significant obstacles such as market demand fluctuations, limitations in manual production technology, and competitive pressures. As a mitigation measure, the company diversifies its products and adopts contemporary technology to efficiently increase its operational capacity. Strategic synergies with the government and the private sector were also strengthened to expand promotional access. This success was also supported by fundamental pillars in the form of cultural heritage and intergenerational craftsmanship. Through a combination of organized management, sustainable design innovation, and adaptation to market dynamics, the company has succeeded in establishing itself as a competitive creative industry player on the national and global stage.

This in-depth study explores the comprehensive marketing strategies implemented by CV. Logam Jaya Gallery, a leading copper and brass craft business entity in Tumang Village, Boyolali. The research aims to identify the key factors behind the company's resilience in the face of intense industry competition. Using a qualitative approach, operational data was obtained in depth. The results show that the company integrates direct marketing through national and international exhibitions, while optimizing digital channels and e-commerce for broader global market penetration. Despite its success, CV. Logam Jaya Gallery faces significant obstacles such as market demand fluctuations, limitations in manual production technology, and competitive pressures. As a mitigation measure, the company diversifies its products and adopts contemporary technology to efficiently increase its operational capacity. Strategic synergies with the government and the private sector were also strengthened to expand promotional access. This success was also supported by fundamental pillars in the form of cultural heritage and intergenerational craftsmanship. Through a combination of organized management, sustainable design innovation, and adaptation to market dynamics, the company has succeeded in establishing itself as a competitive creative industry player on the national and global stage.

MSMEs Traditional culinary MSMEs play a vital role in the Indonesian economy through job creation, income equality, and preservation of local culture. However, limited capital, raw materials, and labor, as well as unsystematic production planning, mean that MSME production decisions are still intuitive, leading to inefficiencies and suboptimal profits. A case study of MSME Sostang Tijang Bruno, a Sundanese cireng producer, shows that cireng production is still based on experience without clear calculations, resulting in a mismatch between production and demand and waste of raw materials. This study aims to optimize cireng production volume using the Graphical Linier Programming method to maximize profits by considering constraints on raw materials, working time, and market capacity. Data were obtained through observation, interviews, and documentation. The decision variables were the production volume of original chicken-filled cireng and spicy chicken-filled cireng. The analysis results showed an optimal production combination of 2.93 kg of original chicken-filled cireng and 0.53 kg of spicy chicken-filled cireng with a maximum profit of Rp499,000 per day. This method is expected to help MSMEs make more efficient and rational production decisions

This study aims to analyze the effect of e-commerce adoption on the sales performance of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. E- commerce adoption factors are measured through the dimensions of platform usage, technology integration, and digital marketing activities. Sales performance is assessed based on sales growth, market expansion, and increase in customer numbers. The research method uses a quantitative approach by distributing online questionnaires to 250 MSME owners in five major cities (Jakarta, Surabaya, Bandung, Medan, Makassar) who have used at least one e-commerce platform (such as Tokopedia, Shopee, Bukalapak, or a standalone website) for at least one year. Data were analyzed using multiple regression analysis techniques with the help of SPSS 25 software. The results show that e-commerce adoption has a significant positive effect on the sales performance of MSMEs. Specifically, technology integration (such as the use of inventory management and digital payment tools) and digital marketing activities (advertising and promotions on social media) are the most dominant factors. These findings provide practical implications for MSME owners and policymakers to further encourage digitalization by providing training and supporting infrastructure.

This study discusses the function of corporate criminal liability for State-Owned Enterprises (SOEs), particularly SOEs, by examining a case of corruption in the sale of commodities at Perum Bulog Jakarta in 2022-2023, which caused financial losses to the state amounting to approximately IDR 7.192 billion. This case illustrates the abuse of authority by SOE officials, which not only reflects individual violations but also is a symptom of weaknesses in the culture of internal control and compliance in state-owned companies. The purpose of this study is to examine the regulation and application of the principle of corporate criminal liability in State-Owned Enterprises (SOEs) with reference to Law Law Number 31 of 1999 in conjunction with Law Number 20 of 2001 concerning Eradication of Corruption Crimes, the latest Criminal Code (Law Number 1 of 2023), and Supreme Court Regulation Number 13 of 2016. The method used is normative legal research with a juridical approach, which focuses on the review of legislation, the concept of corporate criminal liability, and the analysis of related court decisions. The results of the study show that acts of corruption involving Bulog have fulfilled the elements of corporate criminal liability, because they were carried out in the exercise of official authority and were intended for the benefit of the institution. The application of the provisions in the new Criminal Code, particularly Articles 45 to 47 and Article 118, confirms the position of corporations as legal subjects in the criminal law system. The implications of this research highlight the need to strengthen the Good Corporate Governance (GCG) system in SOEs and the need for consistent enforcement of corporate criminal liability by law enforcement officials to ensure justice, transparency, and the prevention of structural corruption in Indonesia.  

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 aims to analyze the inventory management practices of qurban cattle at Purnomo Sapi Mulyo Farm in Boyolali, Central Java, particularly in facing the surge in demand prior to Eid al-Adha. The research is motivated by the unique characteristics of qurban cattle inventory, which involves living assets, seasonal demand, and biological risks that differ significantly from conventional inventory management. A qualitative descriptive approach with a case study design was employed to capture in-depth information regarding inventory planning, procurement, storage, and sales practices. Data were collected through in-depth interviews with the business owner as the key informant, direct observation of operational activities, and documentation review. The findings reveal that inventory management at the farm is conducted in a responsive manner based on consumer orders, enabling the business to minimize overstock risks and operational costs. However, inventory recording remains manual and unstructured, potentially limiting the accuracy of cost calculation and long-term planning. Price fluctuations and supply availability are strongly influenced by the Eid al-Adha momentum, while cattle health and lead time are critical factors affecting inventory effectiveness. From a theoretical perspective, the study extends inventory management concepts to the context of live and seasonal inventory. Practically, the findings suggest that implementing a simple yet structured inventory recording system could enhance operational efficiency and decision-making accuracy in local qurban cattle farms.

This study aims to design, implement, and compare the performance of the Backpropagation algorithm from Artificial Neural Networks and the Seasonal Autoregressive Integrated Moving Average (SARIMA) model in predicting the optimal daily rice requirement at Grillme Restaurant in Pontianak. The main problem faced by the restaurant is the uncertainty in determining the required daily rice stock, which periodically results in either understocking (shortage) or overstocking (wastage), leading to operational losses. To address this, the study utilizes historical daily rice sales data from January 2023 to April 2025 as the database for training and testing both predictive models. The SARIMA approach is employed to capture time series components (trend and seasonality), while Backpropagation is utilized to model non-linear patterns. Comparative test results indicate that the SARIMA model achieved superior accuracy compared to the Backpropagation model. This is confirmed by the Mean Absolute Percentage Error (MAPE) value of the SARIMA algorithm being 17.35%, which is lower than the MAPE value of Backpropagation at 19.62%. The MAPE values obtained by both models demonstrate good predictive capability, but it is concluded that SARIMA is more recommended for a more efficient and planned management of rice stock at Grillme Restaurant in Pontianak.

Contemporary digital advancements have significantly impacted the manner in which individuals engage in economic activities, as evidenced by the rising volume of online transactions. While offering convenience and efficiency, electronic transactions also provide numerous legal challenges, especially regarding seller defaults, including delayed delivery, goods that do not conform to the agreement, or sellers failing to meet their duties post-payment by consumers. This scenario may result in consumer losses, necessitating sufficient legal certainty and protection. This study seeks to analyze the legal regulations pertaining to contracts and defaults in digital platform transactions and to evaluate the types of legal liabilities that may be placed on sellers. This study employs normative legal research, focusing on legislative and conceptual approaches, and utilizes primary, secondary, and tertiary legal materials as data references. The study's findings reveal that seller liability regulations in electronic transactions are defined in the Civil Code, the Consumer Protection Law, and the Law on Electronic Information and Transactions. Nonetheless, its execution has several challenges, especially concerning evidence and the efficacy of law enforcement measures. Consequently, it is imperative to enhance the function of marketplaces and establish more adaptive legislative frameworks to guarantee consumer protection and restitution for losses in online commerce.  

This service examines the use of the social media platform of the tiktok application which acts as an effort to approach digital promotion for micro, small and medium enterprises in Krobokan village, Juwangi. Although MSMEs allocate an important role in sales products to the community, they do not fully understand digital media.This service applies a qualitative method by conducting interviews and socialization to the community which amounts to around 30 people consisting of 10 MSME business actors. The results of the interview identified MSME actors in Krobokan village who are not fully aware of the importance of understanding the development of social media as a marketing media tool, therefore we provide education about sales through online media because they only market products traditionally in the village environment. TikTok as a strategic means in supporting sales in today's digital era because the TikTok application is one of the highest platforms that are widely used today such as the TikTok Shop and Live TikTok features in strengthening the introduction of sales to customers through social media. This service concludes that from traditional marketing by word of mouth to marketing in the digital era that focuses on creative digital marketing, efforts have great potential in developing the community's economy in the current digital era.