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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

Savings and Loan Cooperatives (KSP) play a vital role in expanding community access to capital, especially within the informal sector. Nevertheless, non-performing loans remain a persistent challenge that can threaten liquidity and long-term institutional sustainability. KSP CU Mera Ndi Ate faces similar issues, which are assumed to stem not only from administrative weaknesses but also from members’ perceptions and behavioral factors. This research aims to examine the potential causes of non-performing loans through text-based sentiment analysis using an unsupervised learning approach. A quantitative method with a data mining framework was applied. Data were gathered through interviews, observations, documentation, and 200 customer opinion texts processed using the Orange Data Mining application. The analytical stages included preprocessing, corpus development, feature extraction, sentiment clustering, and visualization. Because the dataset lacked predefined labels, unsupervised learning was used to identify naturally emerging sentiment patterns. Findings reveal a predominance of critical sentiments related to credit assessment procedures and service quality. The highest sentiment score (75) concerned insufficient creditworthiness evaluation, followed by concerns about service efficiency (66.6667). These insights suggest that improving assessment accuracy and service quality may help reduce non-performing loans.

In the tvMu news broadcast program, a shooting technique that can produce good video quality is needed to be broadcast. Because this shooting technique is needed in visual communication technology, especially in the field of videography. The purpose of this study is to determine the shooting angle in the tvMu news broadcast program and to determine the image size that determines the quality of the content of the tvMu news broadcast program that is broadcast. This study uses a qualitative method that is used to explain how the shooting technique is in the tvMu news broadcast program. This tvMu news broadcast is presented to obtain information about the association and national that can invite important figures of Muhammadiyah. This was done through in-depth interviews with several informants and triangulation. The results of this study revealed the shooting techniques used in tvMu news broadcasts, including various shooting types, image composition, aspect ratio, frame size, and camera movements.customers.

This study examines the role of communication in agency services to improve shipowner satisfaction at PT. Gemalindo Sukses Bahari in Dumai. As a company engaged in the field of ship agency, PT. Gemalindo Sukses Bahari has an important responsibility in establishing effective communication with shipowners to ensure smooth operations and satisfactory service. The purpose of this study is to analyze how the communication strategy implemented by the company can affect the level of satisfaction of shipowners, as well as to identify the communication factors that are most influential in building professional and trustworthy working relationships. The research method used is a qualitative approach with research data obtained through interviews, observations, and document reviews. The findings indicate that transparent, responsive, and informative communication between agents and shipowners has a significant influence on increasing customer satisfaction. In addition, the use of appropriate communication media, timeliness in delivering information, and the agent's interpersonal skills are key elements in maintaining harmonious working relationships. This study concludes that effective communication is the main foundation for the success of ship agency services and has a direct impact on shipowner satisfaction and loyalty.

Abstract. Competition conditions in the business world are currently increasingly tight, one of the products that must remain viable is ice tea products.. This research aims to find out how much influence Brand Equity, Brand Trust and Brand Experience have on customer loyalty for Juragan ice in the city of Semarang. The sampling method uses the Probability Sampling Technique with a purposive sampling method using the Slovin formula calculation. The population in this research is Juragan ice users in the city of Semarang, with a sample of 100 respondents and with Likert scale measurements. The analysis in this research was processed using SPSS software.The results of the research can be concluded that Brand Equity has an influence on customer loyalty for Juragan ice products with a significance value of 0.000 < 0.05 and t count 20.433 > t table 1.966, Brand Trust has an influence on customer loyalty for Juragan ice products with a value of 0.000 < 0, 05 and t count 3.663 > t table 1.966, and Brand Experience has an influence on customer loyalty for Juragan ice products with a significant value of 0.000 < 0.05 and t count 14.424 > t table 1.966. The research results also show that the results of the model feasibility test (f test) have a significance value of 0.000 <0.05. So it can be concluded that this test is feasible. This shows that the Juragan ice brand is trusted by the public because its quality is good.

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 role of the digital economy in increasing the competitiveness of MSMEs in Medan City. The rapidly developing digital transformation provides opportunities for MSMEs to expand their markets, improve operational efficiency, and strengthen their competitive position. However, the use of digital technology among MSMEs in Medan remains limited due to low digital literacy, limited capital, lack of training, and minimal use of digital platforms such as e-commerce, social media, and Google My Business. This study uses a descriptive qualitative method through a literature review of research conducted in 2024–2025. The results of the analysis indicate that the digital economy plays a significant role in increasing the competitiveness of MSMEs, particularly through digital marketing, technological innovation, and optimization of digital platforms that can increase visibility and interaction with customers. Based on the Resource-Based View (RBV) approach, the competitive advantage of MSMEs is determined by the quality of internal resources, especially digital literacy, innovation capabilities, and technology management. With the support of training and government policies, the implementation of the digital economy has the potential to strengthen the growth and sustainability of MSMEs in Medan City.

Because it directly impacts revenue, customer loyalty, and long-term business sustainability, customer churn is a critical issue for the e-commerce industry. High churn rates indicate that a business is unable to retain existing customers, which means it is more expensive to acquire new customers. Therefore, a precise analytical approach is needed to identify customer behavior patterns that are likely to churn. Using machine learning methods, this study analyzes and predicts customer churn. For this study, the E-Commerce Customer Churn 2025 dataset, obtained from Kaggle, was used. This dataset consists of 10,000 customer data and contains fifteen variables covering transaction behavior, customer characteristics, and churn status. Data preprocessing, descriptive analysis, exploratory data analysis (EDA), and classification model development using Logistic Regression and Random Forest algorithms were part of the research project. Model evaluation was conducted using a Confusion Matrix and Receiver Operating Characteristic (ROC) Curve to evaluate the model's accuracy and ability to distinguish between churned and non-churned customers. The results showed that the Random Forest model performed better than Logistic Regression, with an ROC-AUC of 1.00. Furthermore, feature importance analysis revealed that the days_since_last_purchase variable was the most dominant factor in predicting customer churn. These findings are expected to help e-commerce companies design more effective, data-driven customer retention strategies.  

The increasing competition in the coffee shop industry in Bandung requires businesses to adopt marketing strategies that emphasize long-term relationships with customers. This study aims to analyze the implementation of relationship marketing strategies in building business networks at Groei Coffee, a community-based café located in Sukapura, Bandung Regency. A descriptive qualitative approach was employed, with data collected through observation, interviews, and documentation. The findings indicate that relationship marketing at Groei Coffee is implemented through consistent product quality, two-way communication with customers, personalized services, and collaboration with campus communities and strategic partners. These strategies have proven effective in enhancing customer loyalty, expanding business networks, and strengthening the café’s competitive position in the food and beverage industry. However, several challenges were identified, including limited resources, price sensitivity among student customers, and dynamic consumer preferences. Therefore, an adaptive and sustainable approach is required to ensure that relationship marketing strategies provide long-term benefits for small and medium-sized enterprises (SMEs).

This study examined the operational performance of CV Fortis Sportwear Indonesia (FSI) before implementing the Balanced Scorecard approach, identified the factors that hindered each Balanced Scorecard perspective, and analyzed the company's operational performance when measured using this approach.This study employed a descriptive quantitative method, aimed at providing a systematic, factual, and accurate overview of CV FSI's operational performance based on the Balanced Scorecard approach. Data were collected through interviews, questionnaires, observations, and literature review to obtain information related to the four main perspectives of the Balanced Scorecard: financial, customer, internal business processes, and learning and growth.After implementing the Balanced Scorecard, the performance evaluation of CV Fortis Sportswear Indonesia became more comprehensive compared to the previous system, which focused solely on financial aspects. The financial perspective showed improvement, but the customer aspect remained adequate, with declining retention and increasing complaints. Internal business processes still faced inefficiencies and quality issues, despite the introduction of new technology. The learning and growth perspective also improved through training, but employee satisfaction remained moderate. The Balanced Scorecard proved to provide a more comprehensive performance assessment and identified the need for improvements in customer, internal processes, and human resource development.

UMKM BPK Legend Batam is a Batak culinary business that serves Karo Roast Pork (BPK) as its main dish along with side dishes such as soup, saksang, and fried Indomie B2. In its operational activities, food product inventory management is still done manually and based on estimates, which can potentially lead to excess or shortages of ready-to-sell products. This situation can result in a decline in product quality, wasteful spending, and lost sales opportunities when demand increases. The objective of this community service activity is to design a more effective and efficient food product inventory control system through the application of the EOQ and ROP methods. The methods used include observation, interviews, and analysis of sales data and product availability per period. The results of the activity show that the application of EOQ is able to determine the optimal product inventory quantity, while ROP provides guidelines for the right time to replenish products. The product inventory control system that was designed helps BPK Legend MSMEs in reducing inventory costs, maintaining product availability, and supporting smooth service to customers.

The study try to investigate what influences ATINY, followers of the South Korean idol group ATEEZ, about customer satisfaction and their decision to buy Nacific products. It investigates how brand ambassadors, fanaticism, Korean Wave, product quality, and buying decisions affect consumer pleasure. Through the use of questionnaires, 396 members of the ATINY fan group participated in the study. Structural Equation Modeling (SEM) was used in the study to analyze the data. The findings show that consumer happiness and purchasing decisions are influenced by product quality. Fanaticism, the Korean Wave, and brand ambassadors, however, had negligible effects on consumer happiness and purchase decisions. Additionally, it has been demonstrated that purchase decisions significantly and favorably affect consumer satisfaction. The study recommends that future studies examine the impact of social media and influencers on consumer behavior and take into account other factors like brand trust or customer experience. Additionally, studies using larger samples from different demographic groups can yield more broadly applicable findings.

The digital transformation era demands printing companies to strategically integrate information technology to enhance efficiency and competitiveness. CV Prima Puspasari still faces several challenges in business process management, such as unintegrated workflows, manual record-keeping, and limited utilization of information systems. This study aims to develop an Information Systems Strategic Planning (ISSP) using the Ward & Peppard method as the main analytical framework. The approach analyzes business and technology conditions through four domains: internal and external business environments, as well as internal and external IS/IT environments. The analysis combines SWOT Analysis, Value Chain Analysis, and the McFarlan Strategic Grid to identify strengths, weaknesses, opportunities, threats, and to determine application priorities. The results produce three main strategies: IS/IT business strategy, IS/IT management strategy, and IT infrastructure strategy. The recommended systems include Inventory Management System, Customer Relationship Management (CRM), Integrated Financial System, Human Resource Information System (HRIS), E-Procurement, and E-Commerce. This strategic planning is expected to serve as a roadmap for CV Prima Puspasari in implementing digital transformation, improving operational effectiveness, and strengthening its competitive advantage in the digital printing industry.

Network service disruptions are critical issues that can negatively affect public trust and corporate reputation in the telecommunications industry. As one of the largest telecommunication providers in Indonesia, PT Telkomsel faces significant challenges in managing public issues related to network disturbances. This study aims to analyze how the Public Relations division of PT Telkomsel manages issues in handling network service disruptions in Indonesia.This research employs a qualitative descriptive approach by analyzing secondary data, including literature studies, official corporate communications, and media coverage related to network service disruptions. The findings indicate that PT Telkomsel’s Public Relations implements issue management through several systematic stages, namely issue identification, issue analysis, communication strategy formulation, message dissemination, and evaluation. The communication strategy emphasizes transparency, rapid response, and the use of digital media as the main channel to communicate with the public.Effective issue management enables the company to reduce negative public perceptions and maintain customer trust. This study confirms that strategic and proactive public relations communication plays an important role in managing network service disruption issues and protecting corporate reputation.

This community service activity aims to strengthen the marketing strategy of FUNN Maumere as a culinary business operating in an increasingly competitive market environment. The program was conducted using a qualitative descriptive approach through field observations, interviews with business owners and employees, and direct mentoring in implementing more effective marketing strategies. The results indicate that FUNN Maumere has applied a combination of traditional and digital marketing strategies, including brochure distribution and active promotion through social media platforms such as Instagram, TikTok, and Facebook. The mentoring activities focused on optimizing digital marketing, improving service quality, and strengthening brand consistency. These efforts contributed positively to increased brand awareness, customer interest, and wider promotional reach. However, sales performance remains fluctuative due to external factors, such as weather conditions and differences in outlet location characteristics. Therefore, this community service emphasizes the importance of continuous product innovation, enhancement of customer experience, and optimization of digital marketing strategies to reduce dependency on external conditions. This activity is expected to serve as a practical reference and mentoring model for other culinary MSMEs in developing adaptive, innovative, and sustainable marketing strategies to improve competitiveness and business continuity.

Social media provides significant benefits in life, one of which is as a communication and promotional tool. Instagram, as the platform with the second most users in the world, is a strategic medium for promotion. This study analyzes RFAS Music's strategy in utilizing Instagram to promote the song "Berona" by Rizky Febian. This study uses a descriptive qualitative approach with structured interviews, observation, and documentation methods. The collected data are analyzed through the process of data reduction, data presentation, and drawing conclusions. The theories used are the Technology Acceptance Model (TAM) which emphasizes technology acceptance and Quesenberry's Theory which emphasizes marketing communications. The results of the study indicate that RFAS Music successfully implemented an Instagram social media marketing strategy to create interaction and attract the attention of the target audience. This strategy not only increases audience awareness of the new song but also strengthens RFAS Music's position in the music industry. Thus, this study can be concluded that RFAS Music's strategy is a social media promotion strategy that pays attention to the level of efficiency and the times. By implementing the strategy and linking it to marketing communications, RFAS Music successfully promoted the launch of Rizky Febian's song "Berona." The study suggests that it would be better if this promotional activity also used other platforms that are currently equivalent and as widely used as Instagram. and continue to improve interesting strategies.customers

This study aims to improve the quality of gallon water products and strengthen the competitiveness of CV. Anugerah Gemilang through the implementation of Quality Function Deployment (QFD) using the House of Quality (HoQ). The QFD approach is employed to translate the Voice of Customer (VoC) into technical product characteristics as well as service quality attributes that influence customer satisfaction. The research method applied is quantitative-descriptive with the support of qualitative data. Quantitative data were collected through questionnaires distributed to customers to measure the importance and satisfaction levels regarding product and service attributes, while qualitative data were obtained through in-depth interviews to reinforce and validate the questionnaire results. Subsequently, the VoC data were analyzed using the HoQ matrix to determine quality improvement priorities based on customer importance weights. This study is expected to produce strategic recommendations in the form of prioritized product and service quality enhancements focused on customer satisfaction, thereby supporting the sustainable improvement of the company’s competitiveness.

This study aims to improve the quality of gallon water products and strengthen the competitiveness of CV. Anugerah Gemilang through the implementation of Quality Function Deployment (QFD) using the House of Quality (HoQ). The QFD approach is employed to translate the Voice of Customer (VoC) into technical product characteristics as well as service quality attributes that influence customer satisfaction. The research method applied is quantitative-descriptive with the support of qualitative data. Quantitative data were collected through questionnaires distributed to customers to measure the importance and satisfaction levels regarding product and service attributes, while qualitative data were obtained through in-depth interviews to reinforce and validate the questionnaire results. Subsequently, the VoC data were analyzed using the HoQ matrix to determine quality improvement priorities based on customer importance weights. This study is expected to produce strategic recommendations in the form of prioritized product and service quality enhancements focused on customer satisfaction, thereby supporting the sustainable improvement of the company’s competitiveness.

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.

The development of digital marketing has become a strategic factor in the growth of creative culinary businesses, particularly for micro, small, and medium enterprises facing increasing competition and changes in consumer behavior in the digital era. The use of digital platforms, such as social media and online marketplaces, enables business owners to expand market reach, enhance customer interaction, and optimize promotional strategies more efficiently. Nevertheless, various studies indicate that the implementation of digital marketing has not always produced optimal outcomes due to limitations in digital literacy, human resource capacity, and organizational adaptability. This study aims to systematically examine the role of digital marketing in the development of creative culinary businesses through a Systematic Literature Review approach. The review maps key concepts, research trends, and empirical findings related to digital marketing and organizational learning within the context of creative culinary enterprises. In addition, this study identifies existing research gaps and formulates recommendations for future research issues. The findings are expected to provide theoretical contributions in the form of comprehensive conceptual mapping as well as practical contributions for business practitioners, MSME facilitators, and policymakers in designing adaptive and sustainable digital marketing strategies.