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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 aims to analyze the technical and economic impact of power evacuation work on the 20 kV distribution system at PT PLN (Persero) UP3 East Bali. The main problem studied is the high losses and poor voltage profile on the downstream side of the Kintamani feeder. The method used is load flow simulation using ETAP software with a comparative approach to conditions before and after power evacuation. The results showed that the active losses decreased from 1.017 MW to 0.626 MW (efficiency 38.45%), accompanied by an increase in the end voltage from 16.32 kV to 18.72 kV and 19.38 kV, thus meeting the SPLN 1:1995 standard. The reduction in losses resulted in energy savings of 3,425,160 kWh/year. From the economic side, a payback period (PBP) of 1.40 years was obtained, which shows that the project is financially feasible. In addition, the improvement of network performance also contributes to the reliability of the distribution system and the continuity of the distribution of electrical energy to customers. Thus, power evacuation work has been proven to be effective in improving power distribution efficiency, improving voltage quality, and providing significant economic benefits.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

This study aims to qualitatively analyze the impact of order cancellations and customer ratings on the performance, performance, and income of online motorcycle taxi (Gojek) drivers in the Slawi region. The research method used a qualitative approach with data collection techniques through in-depth interviews, observation, and documentation of a number of active drivers. The results show that the high rate of order cancellations, both from customers and the system, negatively impacts driver income stability and reduces work time efficiency. Furthermore, customer ratings play a crucial role in determining driver access to orders, incentives, and account sustainability. Drivers with low ratings tend to experience decreased performance due to limited opportunities to receive orders. On the other hand, the pressure to maintain high ratings also affects drivers' psychological state and work strategies. This study concludes that order cancellations and customer ratings are crucial factors that are interrelated in influencing the work quality and welfare of online motorcycle taxi drivers. Therefore, fairer and more transparent platform policies are needed to maintain a balance between customer satisfaction and driver protection.

The purpose of this study is to examine how online promotion, product innovation, and brand image affect product competitiveness in Batam City's flower bucket equipment industry (CV Acmeteam). This study employs a quantitative methodology, gathering information from 100 respondents via questionnaires using Simple Random Sampling with Slovin formula from a population of 135 active customers. Data were analyzed through validity tests, reliability tests (Cronbach's Alpha = 0.750), classical assumption tests (normality, multicollinearity, heteroscedasticity), multiple linear regression, partial t-test, simultaneous F-test, and coefficient of determination (R²). Results show that all questionnaire items are valid and reliable. The normality test (Asymp. Sig. = 0.866 > 0.05) indicates normally distributed data, and no multicollinearity (VIF < 10) or heteroscedasticity (Sig. > 0.05) was detected. Regression analysis reveals that online promotion (β = 0.521, Sig. = 0.041), product innovation (β = 0.668, Sig. = 0.033), and brand image (β = 0.458, Sig. = 0.049) each significantly influence product competitiveness. Simultaneously, all three variables are significant (F = 9.876, Sig. = 0.000) and explain 44.9% (R² = 0.449) of product competitiveness variance. Product innovation is the strongest predictor. This study concludes that strong brand image, continuous product innovation, and effective digital marketing are essential pillars for enhancing product competitiveness. Business actors must optimize these three elements to compete effectively in an increasingly open creative industry market.

The Labor-Intensive Housing Program is one of the Surabaya City Government’s policies aimed at reducing poverty and unemployment through labor-intensive community empowerment. This study aims to describe and analyze the implementation of the Labor-Intensive Housing Program (RPK) at the Pitstop business unit in Lidah Kulon Village, Lakarsantri Subdistrict, Surabaya City. This study employs a qualitative method with a descriptive approach, utilizing Van Meter and Van’s policy implementation theory. Primary data were collected through interviews and observations, while secondary data were derived from official documents and relevant publications. The results showed that the implementation of the Pitstop Labor Intensive Housing Program has not yet been optimal. In terms of policy standards and objectives, the program’s goals have been clearly defined but have not yet been fully achieved. Regarding resources, the availability of facilities and funding is adequate, but there are still limitations in human resources, particularly skilled technicians in the automotive repair field. Inter organizational communication has taken place but has not been intensive enough to support business sustainability. Characteristics of the implementing agents indicate that the structure of the Labor-Intensive Housing team has been clearly defined; however, implementation in the field has not been optimal due to weak coordination and communication. Economic, social, and political conditions-such as a less-than-strategic business location and high competition from similar businesses-have also contributed to the low number of customers. Meanwhile, the disposition of the implementers demonstrates a positive attitude in supporting the Labor-Intensive Housing program. The Labor-Intensive Housing Program must be supported by professional mechanics through education, certification, and collaboration with the private sector and training institutions to ensure the quality of services. In addition, building public trust, coordination among stakeholders, and intensive support through monitoring and evaluation are key to the success and sustainability of the Labor-Intensive Housing Program.

PT Bank Pembangunan Daerah Jawa Timur Tbk (“Bank Jatim”) is a regional-owned company engaged in banking. The main activity of this company is to collect and channel funds and provide other banking services to all customers in the East Java region.  With the tagline "Yang Terbaik Untuk Anda", Bank Jatim maximizes the best potential ranging from services to the provision of products that continue to be developed and created technology-based to achieve BPD Regional Champion. It will not be achieved without the role of optimal human resources. The purpose of this study was to test and analyze the effect of employee empowerment on employee engagement through job satisfaction in employees of the corporate secretary division of Bank Jatim Surabaya Head Office. Where the employee empowerment variable has four indicators, the four of which will be studied, namely sense of meaning, sense of competence, self determination, impact. This research is causality research with a quantitative approach. Sampling technique used saturated samples with a total of 37 respondents in the corporate secretary division of Bank Jatim Surabaya Head Office. The statistical analysis used in this research is partial least square (PLS) with the help of smartPLS 3.0 software. The results of this study explain that employee empowerment has a positive and significant effect on employee engagement, employee empowerment has a positive and significant effect on job satisfaction. Job satisfaction has a positive and significant effect on employee engagement. Job satisfaction is able to mediate the relationship between employee empowerment and employee engagement.

The development of information technology has transformed the way micro,small,and medium enterprises (MSMES) market their products and interact with consumers.social media now plays a crucial role as a primary tool in digital marketing strategies due to its ability to reach consumers widely, quickly, and interactively. This study aims to analyze how digital marketing strategies through social media can enhance consumer loyalityamong MSMES. This research employs a qualitative descriptive approach, collecting data through in-depth interviews, observation of social media activities, and documentation of several MSMEs in medan. The findings reveal that consistent implementation of digital marketing strategies through social media significantly improves consumer loyalty. The main factors influencing this improvement include engaging content quality, active interaction between sellers and customers, and the effective use of social media features such as paid advertisements and collaborations with local influencers. The study concludes that digital marketing strategies through social media not only boost sales but also strengthen long-term relationships between MSMEs and their customers. Therefore, optimizing social media utilization becomes a strategic step for MSMEs to remain competitive in the digital era.

This study examines the transportation management flow at PT Xpresindo Logistik Utama Medan Warehouse and its impact on delivery accuracy. The research method used a qualitative approach through direct observation and interviews with warehouse managers and operational staff. The results showed that the distribution flow from receiving goods from Jakarta to shipping to customers in Medan was quite effective, although it was still dominated by manual systems such as the use of Delivery Notes and Excel records. The use of the Monstra tracking application was not evenly distributed, so fleet movement information was not always updated in real time, especially when demand volume increased at the end of the month. To improve efficiency, the study recommended the implementation of a Transportation Management System (TMS), digitalization of barcode/QR code-based inventory processes, and a Key Performance Indicator (KPI) dashboard to monitor delivery timeliness and fleet utilization periodically.

This literature study aims to analyze the strategies of local cosmetic brands in providing product variants for different skin types, setting affordable prices for the teenage segment, and minimizing side effect risks to increase purchase intention among beginner users. The method used is qualitative library research with a thematic synthesis approach following systematic literature review procedures. The results indicate that complete product variants enable beginner users to find products suitable for their skin conditions, reducing confusion and increasing confidence. Affordable prices are crucial for the teenage segment with limited budgets, allowing them to try products without excessive financial burden. Minimizing side effect risks through safe formulations, dermatological testing, ingredient transparency, and usage education builds a sense of security essential for beginner users. These three strategies are interconnected and collectively create a foundation of trust that drives purchase intention. Beginner users who feel their needs are understood, products are affordable, and risks are minimal will be more motivated to purchase and have the potential to become long-term loyal customers. This study contributes theoretically to enriching cosmetic marketing literature with a teenage and beginner user segmentation perspective and practically provides foundations for local brands in designing products, pricing strategies, and safety communications targeting this segment.

The development of digital technology has encouraged Micro, Small, and Medium Enterprises (MSMEs) to utilize social media as the main instrument in building brand awareness. This study uses a qualitative descriptive approach with a field research type (field research). Data collection was carried out through observation, in-depth interviews with six sources (owner, financial manager, social media team, admin, crew, and customers), and documentation of the content of the TikTok account @mtm43surabaya. The results of the study show that: (1) MTMSBY43 implements a digital branding strategy with three main components, namely brand positioning as a social-based one-stop solution, a brand identity that focuses on a human-centered service approach, and a brand personality that reflects the character of local youth who are solution-oriented and socially concerned; (2) MTMSBY43 TikTok content is classified into three pillars, namely humanistic and realistic content (daily vlogs & live documentation), educational and transparent content (service portfolio), and humorous content (entertainment & engagement content) that builds high organic appeal; (3) TikTok acts as a primary growth driver for MTMSBY43's brand awareness through three mechanisms: creating brand recognition through the FYP algorithm, which reaches new audiences; driving brand recall through consistent uploads and a distinctive communication style; and building customer trust and brand loyalty through responsive two-way interactions

This study seeks to examine the impact of Social Media Marketing and Affiliate Marketing on Purchase Intent on the Shopee platform in Medan City. The research employed a quantitative methodology via a survey of 384 Shopee user respondents. We used Partial Least Square Structural Equation Modeling (SEM-PLS) to analyze the data. The findings indicated that Social Media Marketing exerts a positive and significant influence on Willingness to Buy, evidenced by a coefficient value of 0.104 (T-statistic = 2.987; P-value = 0.003). Affiliate Marketing likewise has a positive and substantial effect on Willingness to Buy, with a coefficient value of 0.284 (T-statistic = 5.947; P-value = 0.000). The study's findings suggest that management of e-commerce platforms like Shopee should make the most of social media to reach more people and get more people involved. Also, working with the correct affiliate partners can make product suggestions stronger and bring in more customers, which can lead to a big increase in sales conversions.

The retention of customers in the retail banking sector is a critical economic imperative; however, predictive modeling is frequently hindered by severe class imbalance and the “Black Box” nature of complex algorithms. This study proposes a Heterogeneous Stacking Ensemble framework integrating XGBoost, CatBoost, and Random Forest base learners with a Logistic Regression meta-learner to forecast customer attrition. To overcome the pervasive “Majority Class Bias,” we introduce a “Dual-Imbalance Defense” that synergizes the Synthetic Minority Over-sampling Technique (SMOTE) with algorithmic cost-sensitive penalization. Furthermore, moving beyond standard accuracy metrics, the framework mathematically derives a dynamic classification threshold to guarantee a strict 0.90 recall rate, actively optimizing the capture of at-risk capital. Model opacity is addressed through the integration of a SHapley Additive exPlanations (SHAP) TreeExplainer. This cooperative game theory approach provides localized, patient-level “Reason Codes” for regulatory compliance and reveals global systemic vulnerabilities, including non-linear drivers such as the “Product Paradox.” Achieving a 0.90 recall rate and an AUC of 0.8654, this framework provides a statistically robust and operationally transparent tool for targeted customer retention.

The economy of a country, including Indonesia, is a system that encompasses all production, distribution, and consumption activities occurring within the country. In the economy, problems often arise that can affect the welfare of society. The problem formulation in this study is: How is the regulation and supervision of both internal and external banks carried out to prevent customer personal data leakage in credit agreements? And how is the responsibility of BPR Karya Sari Sedana towards the leakage of customer debtor data? The research method used is empirical legal research. The conclusion in the study is the protection of customer data against personal data leakage by understanding the forms of supervision from both internal and external parties conducted by the banking institution and referring to the OJK regulations that have been established, in order to minimize the recurrence of similar incidents and allow the public to conduct transactions safely without worrying about their personal data. Leaked by irresponsible individuals. The responsibility carried out by the banking sector currently, namely the Financial Services Authority Regulation Number 22 of 2023 concerning Consumer and Community Protection in the Financial Services Sector, also regulates consumer protection in the financial services industry. Forms in policies related to regulations in the banking world ensure that the public does not worry about their personal data.

This study aims to analyze the persuasive communication carried out by Bank Sampah Mutiara Timor in educating waste management among the people of Kupang City and to identify the obstacles faced in the communication process.This research uses a qualitative approach with a case study method and is based on a constructivist paradigm. Data collection techniques include in-depth interviews, participatory observation, and documentation. The informants consist of the managers of Bank Sampah Mutiara Timor and community members who participate as waste bank customers. Data analysis is conducted using the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing and verification. The theoretical framework applied in this study is Joseph A. DeVito’s persuasive communication theory.The results show that the persuasive communication of Bank Sampah Mutiara Timor is implemented through several strategies, including direct socialization, waste management education, storytelling approaches, and hands-on practices in waste sorting and management. The communication process is carried out in three stages: preparation, implementation,and evaluation. This persuasive communication has been able to increase public awareness and understanding of the importance of proper waste management, although community participation has not yet been fully optimal. The obstacles encountered include cognitive or perceptual barriers, technical limitations, and a lack of public awareness and consistency in sorting waste.This study concludes that persuasive communication plays an important role in community-based waste management education. Therefore, Bank Sampah Mutiara Timor is encouraged to continuously develop innovative and sustainable communication strategies to further enhance community participation in waste management efforts in Kupang City.

This study was conducted with the aim of identifying and analyzing the influence of price, innovation, and service quality variables on consumer decisions in using the Maxim online transportation service. The background of this research is the increasing competition in the online transportation industry in Indonesia, which encourages companies to continuously improve their marketing strategies to attract and retain customers. As one of the rapidly growing online transportation service providers, Maxim needs to understand the factors that influence consumer decisions in order to compete effectively. The method used in this research is a quantitative approach, with data collected through questionnaires distributed to 134 respondents who are active users of Maxim's transportation services. The data collected were analyzed using multiple linear regression to examine the effect of each independent variable (price, innovation, and service quality) on the dependent variable (consumer decision). Validity and reliability tests were also conducted to ensure the research instrument was appropriate for use.The results of the study show that all three independent variables—price, innovation, and service quality—have a positive and significant effect on consumer decisions. This means that the more competitive the price offered, the higher the level of innovation provided, and the better the perceived service quality, the more likely consumers are to choose and continue using the Maxim online transportation service.These findings provide practical implications for Maxim’s management in designing more targeted marketing strategies and service improvements, as well as strengthening the company’s position in facing market competition.

This study aims to examine how to manage queues and service quality at Bank Bapas 69 Rejosari Cash Office (KK), especially given the limited number of staff and the absence of a formal queuing system. Using a qualitative descriptive approach with a descriptive case study method, data was collected through participatory observation and interviews during the internship period from January - March 2026 internship period. This study  shows that the queue system is not yet functioning properly, as evidenced by the large number of customers crowding around the service desk. This is mainly due to the difficulty elderly customers have in taking care of administrative matters at the Teller desk, as well as the excessively long credit consultation time at the Customer Service desk. It can be concluded that the effectiveness of service at PD BPR Bank Bapas 69 Magelang (Perseroda) Rejosari Cash Office is still hampered by suboptimal queue management. This tangible contribution is expected to shape a more orderly, clear, and time-efficient service process for Bank Bapas 69 KK Rejosari without having to incur significant costs for technology.

Business activities are essential for helping the economy of society function properly. When starting a business, people usually want to make money, but they are also supposed to follow good values, like being honest in their dealings. In real life, some businesses still do unfair things, like giving false information about products, changing prices unfairly, lowering the quality of goods, and using incorrect measurements when selling items. This research focuses on explaining what honesty means and how it should be used in business according to the principles of Islamic economics. The study uses a qualitative method called literature review, which involves looking at books, journal articles, and other sources that talk about Islamic business ethics. The results show that honesty is a key value in Islamic business because it helps build trust with customers, ensures fair deals, and creates positive relationships between sellers and buyers. The value of honesty in the business world can be demonstrated through transparancy of information about products, honesty in pricing, accuracy in measurement, and not hiding defects in the goods being sold. From an Islamic economics perpective, business activities should not only focus on material income, but also on the value of blessings, ethical responsibility, and mutual prosperity. Thus, the application of honesty in an important foundation for building fair, transparent bisuness practices that are in line with Islamic economic prinsiples.

Service quality is a critical issue faced by service providers, as it plays a significant role in shaping customer satisfaction and maintaining customer trust for future services. A decline in service quality over time may negatively affect customers’ perceptions and loyalty. Therefore, this study aims to examine the effect of service quality dimensions on customer satisfaction. This research employed a quantitative approach using primary data collected through a survey method. The sampling technique used was probability sampling with a random sampling method, involving 98 customers as research respondents. Data were analyzed using SPSS version 24. The service quality dimensions analyzed in this study were Tangible, Reliability, Responsiveness, Assurance, and Empathy. The results of the analysis revealed that Tangible and Responsiveness did not have a significant effect on customer satisfaction. In contrast, Reliability, Assurance, and Empathy were found to have a significant positive influence on customer satisfaction. These findings indicate that customers place greater importance on service accuracy, employee competence, trustworthiness, and personal attention. Therefore, service providers are encouraged to prioritize improvements in Reliability, Assurance, and Empathy to enhance customer satisfaction and sustain long-term customer relationships.

The Role digital marketing nowadays become part important in today's business strategies implemented by MSMEs, which is enable MSMEs to​​ reach the target market with more broad , measurable , and efficient in global value chain (GVC) context . Digital marketing strategies do not  can denied  involving various elements, including optimization machine search engine optimization (SEO), marketing through social media, digital advertising, marketing content ,and also email marketing. In buniess process of PT Bungas food Nusatra abalikpapan tahy have product a weadang dayang.  In facing such a market dynamic, marketing strategy must capable adapt with current digital trends including Fear of Missing Out (FOMO) approach to create greater urgency and involvement​ tall in a way contextual relation with the value chain that creates consumer new abroad or​ marketing across countries by them. In this case, on of the challege ib export product process. The methods of research here, is survey and looking some literature that related in this subject discussion and research, the conclusion is  the With utilise trend this company​ can increase visibility brand , strengthen interaction with customers  and encourage conversion sale in a way more effective and This strategy expected can give impact positive to growth business and power competition companies in the digital era in more fluently in global value chain (GVC).