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Customer satisfaction is a crucial indicator in assessing the quality of a company's products, services and overall experience. This research aims to identify the level of customer satisfaction and optimize the available data for effective use in sentiment analysis. In this study, we analyzed 4,353 customer reviews collected over the past year, with 3,481 reviews used as training data and 871 reviews as testing data. The analysis process was conducted using the Cross-Industry Standard Process for Data Mining (CRISP-DM) approach and leveraged the Logistic Regression algorithm to build a predictive model. Model evaluation using the confusion matrix yielded an accuracy of 94.60%, a precision of 94.26%, and a recall of 94.60%. The analysis was conducted using Jupyter Notebook and the Python programming language. The results indicate that sentiment analysis is effective in identifying and predicting customer satisfaction levels, which in turn can help a company’s products improve its service strategies. The optimization of previously underutilized data now provides deeper insights into customer perceptions and expectations, enabling the company to make more targeted decisions and enhance overall customer satisfaction.

The restaurant business continues to grow, but few business actors understand how to seize business opportunities to increase competitiveness. This study aims to analyze the application of the Canvas Business Model (BMC) in the culinary industry, with a focus on the fast food business in the city of Surakarta. BMC is used to evaluate nine key elements: value proposition, customer segments, distribution channels, customer relationships, key resources, key activities, key partnerships, cost structure, and revenue streams. The method used in this study is a qualitative descriptive approach, with data collection through surveys, interviews, and observations. The results of the study show that the implementation of BMC can increase the effectiveness of business strategies, especially in terms of product innovation, improved customer experience, and optimization of digital marketing and partnership networks. In addition, a SWOT analysis is conducted to identify the strengths, weaknesses, opportunities, and threats of the culinary business, which is then used as a basis in designing a growth strategy. The main findings of this study propose new business models that are more adaptive and sustainable, including product diversification strategies, the use of digital technology, and strengthening partnerships with suppliers and food delivery service platforms. This research is expected to be a reference for culinary entrepreneurs in developing more competitive and sustainable business strategies in the digital era.

The implementation of financial technology (FinTech) has significantly transformed the banking sector in Indonesia, impacting the quality and accessibility of services offered. This study examines the strengths, weaknesses, opportunities, and threats (SWOT) associated with the adoption of FinTech in the banking industry. Using a qualitative approach, data was collected from industry reports, case studies, and expert interviews to provide a comprehensive analysis. The results highlight several strengths, including improved efficiency, enhanced customer experience, and expanded financial inclusion. However, weaknesses such as high operational costs and cybersecurity risks remain prevalent. Opportunities for growth lie in the increasing digital literacy and government support, while threats include intense competition and regulatory challenges. This study concludes that while FinTech presents significant potential to elevate banking service quality in Indonesia, its success depends on addressing key challenges through strategic innovation and robust policy frameworks.

This study aims to determine the performance of KCU Pintu Air by using the balanced scorecard method. This research method is a quantitative descriptive method. The data in this study were obtained from documentation in the form of financial reports and distributing questionnaires. The population in this study was KCU Pintu Air with a sample of a financial perspective in the form of financial reports, a customer perspective with a sample of 44 members, an internal business process perspective and a growth and learning perspective with a sample of 27 employees. The findings of this study show that the performance of KCU Pintu Air when measured using the balanced scorecard method results in a rating scale of 0.2 which lies between 0-0.6 which indicates that the cooperative's performance is quite good. The results of perspective calculations in the balanced scorecard are financial perspective calculations with unfavorable results, this is because most of the PEARLS ratio calculation results are in the bad category. The customer perspective shows good results, which are obtained from indicators of member retention and member acquisition which experience fluctuations and indicators of member satisfaction as much as 79% of members are satisfied with cooperative services. The internal business process perspective shows very good results, which are obtained from the results of the questionnaire with an operational efficiency indicator of 80% and an indicator of competitive position of 83%, which means that the respondents stated that they were very satisfied. The growth and learning perspective shows good results obtained from the results of employee satisfaction indicators as much as 91% of employees who express attitudes towards very high satisfaction, employee retention indicators that show good results and employee productivity indicators that experience fluctuations during the study period.

This research  aims to analyze the application of the McKinsey 7S framework in achieving sustainable performance management at Fresh Bright Pool, Tanjungpinang, amid the increasingly competitive local entertainment industry. The study explores the seven core elements of McKinsey 7S—strategy, structure, systems, shared values, skills, leadership style, and staff—to understand the dynamics of performance management and innovation in the service sector. A qualitative approach was employed, collecting data through in-depth interviews with two staff members and several visitors, supported by document analysis to ensure data validity. The results show that the elements of strategy and shared values are the primary strengths of Fresh Bright Pool in creating superior customer experiences, such as through the improvement of billiard facilities, optimization of bar services, and implementation of a more structured reservation system. The shared value of "comfort and togetherness" has successfully built a friendly and inclusive work culture. Collaborative leadership styles enhance staff engagement in operational processes, while the skills and staff elements still face challenges, including limited technical training and capacity development in customer service. This study provides valuable insights for Fresh Bright Pool to continue strengthening these elements to improve efficiency, maintain competitive advantage, and achieve operational sustainability in the local entertainment industry.

The industry in Indonesia has experienced significant development both online and offline, including the fashion industry, which has also undergone rapid growth. This development inevitably alters consumer behavior toward products in the market. One consumer behavior that requires attention is impulse buying, which refers to unplanned purchases. Impulse buying occurs due to emotional factors, which are also influenced by the store atmosphere, prompting spontaneous purchases. This study aims to examine and analyze the role of positive emotion in mediating the relationship between store atmosphere and impulse buying. The research was conducted among customers of the Uniqlo store at Bali Galeria Mall, with a sample size of 160 respondents selected through purposive sampling. Data collection was carried out using questionnaires. The analytical techniques employed include the Classical Assumption Test, Path Analysis, Sobel Test, and Variance Accounted For (VAF) Test. The analysis results indicate that: Store atmosphere has a positive and significant effect on impulse buying, Store atmosphere has a positive and significant effect on positive emotion, Positive emotion has a positive and significant effect on impulse buying, Positive emotion mediates the effect of store atmosphere on impulse buying. The theoretical implications of this study support previous research findings from the perspective of Consumer Behavior Theory. The practical implications provide guidelines for managers and staff at the Uniqlo store at Bali Galeria Mall to enhance customer impulse buying by leveraging store atmosphere and positive emotion.

The objective of this research is to evaluate the impact of brand image and product quality on consumer purchasing decisions regarding MS Glow products in Solo. A positive brand image can enhance consumers' trust in a particular brand; however, product quality remains the primary determinant of satisfaction and choice among consumers. Using qualitative methodology with phenomenological approach, the study aims to understand consumers’ experiences and perspectives towards MS Glow products. The findings indicate that strong brand images, such as reliable reputation and consumer confidence, significantly influence purchase decisions. Additionally, product qualities including durability, performance, design, and innovative features play crucial roles in consumer decision-making processes. This research is expected to help companies develop better marketing strategies to meet individual customer needs effectively.

Noteworthy changes in customer behavior due to the advancement of data and communication innovation have driven to an increment in online shopping, particularly amid the Covid-19 widespread. This ponder points to analyze the impact of electronic word-of-mouth (e-WOM) and believe on buy deliberate within the setting of e-commerce in Indonesia. With information appearing a surge in exchanges on different marketplaces, this consider distinguishes that positive e-WOM can increment buy deliberate, whereas negative e-WOM tends to diminish it. In expansion, consumers' level of believe in online shopping stages emphatically impacts buy choices. The discoveries appear that both e-WOM and believe have a critical positive impact on buy deliberate. The comes about of this consider give experiences for companies to develop effective promoting techniques to extend buy deliberate and construct shopper believe within the computerized time. 

Operations management is a series of activities related to planning, organizing, controlling and supervising all resources used in the process of producing goods or services. The main function of operations management is to create quality products or services, at efficient costs, at the right time, and in accordance with market demand. This research is quantitative research that works with numbers and the data is in the form of numbers which are then analyzed using statistics to test hypotheses or to answer specific research questions and to make predictions. This research approach is explanatory research where data collection is carried out simultaneously in one stage (one shot study} or in a cross-section through a questionnaire. One of the main impacts of operations management what is good is increasing the efficiency of the production process by designing and managing efficient production processes, companies can optimize the use of available resources, reduce waste, and increase output without increasing significant costs. Effective operations management has a significant impact on various aspects of company performance, including operational efficiency, cost control, product quality and service, and customer satisfaction. By implementing good operations management principles, companies can increase their competitiveness, reduce waste, and improve the customer experience.

This research analyzes the factors that influence the success of e-commerce applications in increasing sales in the digital era. With the development of technology and changes in consumer behavior, e-commerce has become one of the main platforms for businesses to reach customers more widely. The main factors analyzed include user experience, transaction security, product quality, customer service, digital marketing strategy and innovation. The research results show that the combination of these factors significantly influences purchasing decisions and customer loyalty. Good user experience, guaranteed data security, and effective marketing strategies are proven to increase sales and consumer trust. This study provides important insights for business people in maximizing the potential for implementing e-commerce in the competitive digital era.

This study aims to explore how customer satisfaction can moderate the relationship between e-word of mouth (e-WOM) and e-commerce repurchase intentions. In today's digital era, e-WOM has become one of the important factors that influence consumer purchasing decisions. The method used surveyed e-commerce customers and analyzed the data using moderation regression. The results show that customer satisfaction is an important factor influencing the positive effect of e-WOM on repurchase intentions. These results provide e-commerce businesses with important knowledge to create effective marketing strategies and improve customer experience. It is hoped that this work will serve as a reference source for further research on the way these variables interact in the context of e-commerce.

This research explores the implementation of computer vision technology in AI-based e-commerce platforms to enhance product identification and improve user experience. The study specifically examines the use of deep learning algorithms, particularly Convolutional Neural Networks (CNN), to automate product recognition and classification. The results indicate that AI-driven image search features significantly increase the speed and accuracy of product search, leading to greater customer engagement. However, challenges such as the need for high-quality datasets, varying image quality, and high initial investment costs were identified as barriers to effective implementation. The findings suggest that overcoming these obstacles can lead to improved operational efficiency and customer satisfaction. The success of AI in e-commerce depends on robust infrastructure, data quality, and skilled workforce training.

This study examines the impact of social media on consumer purchasing decisions in e-commerce. With advancements in information technology, social media platforms such as Instagram, TikTok, and Facebook have evolved from mere promotional tools into essential means of building brand awareness and consumer trust. Social media facilitates direct interactions with consumers through visual content, customer reviews, and influencer collaborations, creating more personal and emotional shopping experiences. Additionally, features like TikTok Shop streamline promotion and purchasing processes on a single platform, offering new business opportunities. The study also highlights the role of testimonials, reviews, and influencer marketing in shaping purchasing decisions. Findings indicate that social media enhances brand awareness, fosters trust, and drives consumer loyalty, ultimately strengthening brand image in the digital marketplace.

The use of artificial intelligence (AI) in banking has grown rapidly in recent years, providing opportunities and challenges in dealing with it. AI in the banking world is expected to facilitate use, strengthen customer data security, and optimize risk management. This article aims to analyze the level of customer user experience towards banking services by utilizing artificial intelligence (AI). The analysis technique used in this study is descriptive with a quantitative approach, involving 100 respondents of various ages, various jobs and various educational backgrounds. The main requirement for respondents is that they are customers of various conventional banks in Ponorogo Regency who have used artificial intelligence (AI)-based banking services. Data were collected through questionnaires supplemented with secondary data in the form of documents related to the implementation of artificial intelligence in the banking service system. The application of AI in the banking sector is the detection and prevention of fraudulent transactions in real time, identity verification through biometrics, identity verification through biometrics, chatbots and virtual assistants for customer service, detecting suspicious activity, and the use of smart wallets. The findings in this study explain that artificial intelligence (AI) is able to increase the efficiency of services to customers, provide a better experience, and improve the quality of banking services. Customers are greatly helped by the use of artificial intelligence (AI)

I nternship is an essential part of the educational process that provides students with the opportunity to gain practical experience in the workplace. This study aims to evaluate the experience gained during the internship at PT. Pegadaian (Persero) UCP Kapasan, which took place from July 8 to November 8, 2024. During the internship period, participants gained insight into the management of Pegadaian’s products, organizational skills, teamwork, as well as communication and customer service. Additionally, the interns gained experience in marketing products and processing customer data. This internship experience helped participants develop interpersonal skills, accuracy, and work discipline. The results of this internship activity provide valuable insights for improving internship programs in the future.

BNI Fleksi Credit is a KTA facility offered to employees with fixed income for consumption purposes. The procedure for granting BNI Fleksi credit by Bank BNI Branch. Fatmawati still has problems, one of which is not providing physical collateral and there are still prospective debtors who do not understand the terms and conditions in applying for BNI Fleksi credit facilities. The purpose of this study is to find out what are the terms and conditions in applying for BNI Fleksi credit, to find out how the implementation of BNI Fleksi credit provision, to understand the various obstacles in the process of granting BNI Fleksi credit by Bank BNI Fatmawati Branch. The study method used is descriptive qualitative method. The result of the study shows that, 1) BNI Fleksi credit that has been implemented runs quite well and has been in accordance with the procedures and provisions, however, there are still some obstacles faced, one of which is the completeness of document requirements as support in the process of granting BNI Fleksi credit has not met the requirements. 2) In BI Checking, there are still prospective debtors who have arrears at various banks. 3) BNI Flexi Credit customers experience delays in paying principal and interest installments due to the company being late in paying salaries to employees, this has an impact on installment payments and the occurrence of collectibility which is the possibility of not receiving back the loan that has been given. 4) Refusal to provide BNI Flexion to prospective debtors because they do not guarantee themselves with credit insurance that can protect the risk of inability to pay, death, bankruptcy, termination of employment, repayment of remaining credit interest and arrears, and also simplify the loan application process.

This research aims to analyze effective digital marketing strategies in increasing sales of bag products on e-commerce platforms. In the digital era, the use of technology and online platforms is the main key for business actors to reach a wider range of consumers. This study identified various digital marketing techniques such as search engine optimization (SEO), marketing via social media, paid advertising (PPC), content marketing, as well as the use of influencer marketing. Additionally, data-driven personalization strategies and consumer behavior analysis are also discussed to improve customer experience and sales conversion. The combination of an attractive content strategy, use of data analytics technology, and consistent interaction with consumers can have a positive impact on sales of bag products on e-commerce platforms. These findings provide guidance for business actors in designing more effective and targeted digital campaigns. This research is descriptive research with a qualitative approach with the research object being digital marketing strategies to increase bag sales in e-commerce. Data types are primary data and secondary data. Primary data is data collected directly by researchers or data practitioners in the field. Meanwhile secondary data is a type of data collected from previously existing data. Data sources will be taken from documents, interview results, and results from observations. By means of private chat/message between the researcher as interviewer and the informant.

The development of digital technology has opened significant opportunities for the website development industry to innovate, particularly through the implementation of Augmented Reality (AR) technology. This study explores the application of the Business Model Canvas (BMC) in designing a business strategy for ACW Studio, a website development service company utilizing AR technology. By integrating AR, ACW Studio offers a unique value proposition, such as creating interactive websites and AR-based creative products, significantly enhancing customer experience. The use of BMC helps the company analyze nine key business elements, including strategic collaboration, service personalization, and optimization of digital distribution channels. The study results show that AR-based strategies can provide substantial competitive advantages in a highly competitive market while also opening opportunities for expansion into sectors such as education, retail, and tourism.

This study explores the implementation of the Midtrans payment gateway system on the Bloxstore.id website using the Prototyping method. The main objective is to enhance the website's payment transaction process by integrating an efficient and secure payment gateway. The Prototyping method was chosen for its iterative approach, which allows for continuous feedback and system refinement. This research demonstrates how the integration of Midtrans improves the user experience by streamlining the payment process and offering various payment options. The results indicate significant improvements in transaction speed, security, and user satisfaction. This study’s findings are valuable for e-commerce platforms looking to optimize their payment systems and build customer trust through secure and efficient transaction methods.

This study aims to analyze the influence of marketing strategies and customer trust on purchasing decisions in Shopee-based online shops among students of the Faculty of Islamic Economics and Business, UIN Raden Intan Lampung. The research employs a qualitative method with a literature study approach, collecting data from various relevant literatures, journals, and documents. The findings reveal that effective marketing strategies, such as discount promotions, loyalty programs, and influencer engagement, significantly affect purchasing decisions. Moreover, customer trust, which is built on transaction security, product quality, and customer reviews, plays a crucial role in enhancing purchasing decisions. The study concludes that the collaboration between innovative marketing strategies and customer trust is essential for creating an optimal online shopping experience.