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The purpose of this study is to ascertain how customer satisfaction at the Honda Sinar Wijaya Motor Kediri dealer is impacted by factors such as location, pricing, and service quality. Quantitative research is what this kind of study is. Primary and secondary data are the methods of data collecting that are employed. At the Honda Sinar Wijaya Motor Kediri Dealer, 77 respondents provided samples for the study through the use of the incidental sampling technique. Literature reviews, interviews, and questionnaires were used to gather the research data. Multiple linear regression analysis is the method of analysis that is employed. The t-test of the service quality variable showed a significant partial influence on customer satisfaction with a sig result of 0.001 <0.05, and the study's multiple linear regression equation was Y = 19,414 + 0.375X1 + 0.521X2 + 0.291X3. With a sig value of 0.001>0.05, price has a strong partial impact on customer satisfaction. With a sig. value of 0.017>0.05, location has a strong partial impact on customer satisfaction. With a significance value of 0.000 <0.05, the F test yielded the F count result. According to the analysis's findings, customer satisfaction at the Honda Sinar Wijaya Motor Kediri Dealer is significantly impacted by pricing, location, and service quality all at the same 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.

Current technological advances have made the need for information technology very necessary. With the existence of web-based geographic information system technology, it can help PT. Telkom Indonesia Tbk Prabumulih City Branch to digitize every Indibiz customer and target area for Indibiz products. The aim of this research is to create a web-based Indibiz customer mapping information system and to improve technician performance in matters concerning Indibiz. The research method used is descriptive qualitative, the Waterfall method as a system development method and UML as a design tool. The application was built using a website with the php programming language, a mysql database, and printing data using pdf files.

This study aims to analyze the sentiment of iPhone product reviews fromAmazon using the BERT (Bidirectional Encoder Representations from Transformers) model to classify reviews as either positive or negative. The dataset, sourced from Kaggle, includes text reviews and star ratings, where high ratings indicate positive sentiment and low ratings indicate negative sentiment. After text preprocessing steps, including data cleaning, tokenization, and sentiment labeling, the BERT model was fine-tuned for sentiment classification, with the data split into training, validation, and test sets. Evaluation results demonstrate that the BERT model achieves a high classification accuracy, with an accuracy rate of 93.9% and a balanced F1 score between precision and recall. Confusion matrix evaluation also indicates that the model consistently identifies both positive and negative sentiments. This study shows that Transformer-based models like BERT are highly effective in understanding customer opinions in e-commerce, with broad application potential for data-driven decision-making in marketing strategies and product development.

PT Astra International BMW Semarang is a company operating in the automotive sector with 3 supporting pillars, namely Sales, Aftersales and Spare Parts for BMW car units. The availability of spare parts is one of the determining factors for consumer satisfaction with the company because if the spare parts stock is empty it will cause consumer disappointment with the company. By using spare parts sales transaction data for the period January 2019 – June 2023, totaling 52,162, it will be utilized using data mining association techniques with the a priori algorithm and the eclat algorithm. The problem in this research is how to find out consumer purchasing patterns so that there is no shortage or empty stock of spare parts in the warehouse. This research aims to determine the association of spare parts purchasing patterns in sales transactions so that partman get recommendations in making decisions about providing priority types of spare parts. This research methodology uses CRISP-DM (Cross-Industry Standard Process for Data Mining) and is implemented with the R programming language with R studio software. In 3 trials using the Apriori algorithm and 3 trials with the Eclat algorithm, The result with the highest confidence appears in a combination of 3 itemsets with minimum support 0.01 and confidence 0.9, namely if a customer buys B11.42.8.593.186 (Set oil-filter Mx) and B83.12.5.A1A.683 (Washer Cleaner) then they will also buy Z99000000333 ( BMW Engine Oil) with confidence 1.00 or 100%. From the results of this association's analysis, it can be used as advice for the management of PT Astra International BMW Semarang in managing spare parts stock.

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 research aims to evaluate and examine the authority of banks in protecting customers from banking crimes based on Law of the Republic of Indonesia Number 21 of 2011 concerning the Financial Services Authority which still does not fully cover the principle of justice. This research also aims to reconstruct the legal role of banks in providing protection to customers from banking crimes with the principle of justice. The approach method used in this research is a normative legal approach (normative juridical), which refers to legal research that uses analysis of library materials or secondary data. The results show that banking, as an institution that relies on public trust, must provide guarantees to the public. Banks must also be able to maintain the confidentiality of information regarding customers and their savings. Therefore, it is important to continue to supervise and develop banking institutions so that they can function efficiently, fairly, competitively, and can maintain and protect funds deposited by customers.    

This research aims to explore people's preferences in choosing between conventional and Islamic banks, focusing on the factors that influence customer decisions. The research method uses a descriptive qualitative approach by collecting primary data through Google Form questionnaires and secondary data through literature studies. The results show that although 80% of respondents understand the differences between conventional and Islamic banks, 83% still choose conventional banks. The main reasons include ease of infrastructure access, wider ATM availability, and integration with educational institutions and workplaces. Interestingly, 63% of respondents cite religion as a key consideration, and 70% consider the usury aspect of bank selection.Islamic banks are considered to have the advantage of applying the principles of fairness, transparency, and avoiding usury. However, obstacles such as limited ATM networks and lack of cooperation with companies are the main challenges in attracting customers.The study suggests Islamic banks to expand their networks, improve public education, and develop more innovative financial products that still comply with sharia principles.

This study aims to analyze the strategy of improving employee performance at PT XYZ, a state-owned company that plays a vital role in the provision of electricity in Indonesia. In the context of increasingly fierce competition and increasing customer demands, SWOT analysis is used to identify the strengths, weaknesses, opportunities, and threats facing companies. The results of the analysis show that internal strengths, such as technical expertise, can be leveraged to develop more innovative products and services. This study also emphasizes the importance of improving service quality as a key factor in increasing customer satisfaction. Thus, the recommendations produced are expected to assist PT XYZ in formulating an effective strategy to achieve its business goals. The results of this research make a significant contribution to the development of human resources and the improvement of company performance.

The digital era has changed consumer behavior and the way of doing business, especially for Micro, Small, and Medium Enterprises (MSMEs). This article discusses social media optimization strategies to improve MSME marketing. By analyzing the development of social media and digital consumer behavior, this article presents practical recommendations for MSMEs to increase their awareness, increase sales, and build customer loyalty. The approach used in this study is to conduct training and workshops involving professionals in the field of digital marketing. This study shows that social media optimization can be the key to increasing the competitiveness and success of MSMEs in the digital era.

This program aims to increase the income of MSME housewives through innovation and modification of donut topping products. This program is designed to empower housewives with new skills in making and marketing more interesting and varied donuts. Through training and mentoring, it is hoped that housewives can improve the quality of their products, attract more customers, and ultimately increase family income. The method used to develop the Skills Training Program is the Participatory Action Research (PAR) approach. This approach involves the active participation of SME owners, namely housewives, as program stakeholders. Data collection techniques include interviews, surveys and observations, while the data collected will be analyzed qualitatively by coding data and compiling narratives to identify relevant problems and solutions. The result of this work, namely the UKM skills improvement program for housewives, is a comprehensive initiative that involves the active participation of UKM owners and stakeholders. This includes technical, managerial, financial and financial literacy training to increase production and competitiveness of SMEs. The program also covers aspects such as information technology, social skills, environmental sustainability and collaboration to empower SMEs as a whole. With this holistic approach, it is hoped that SMEs can develop and contribute to local economic growth and have wider market opportunities, especially for housewives in general.

 Ships with efficient port time reflect success in various aspects such as port operations, including time management, coordination between related parties, readiness of facilities and equipment, and workforce reliability. These efficiencies not only benefit port operators and shipping companies, but also contribute to smooth logistics supply chains, lower costs and increase economic competitiveness. Researchers determine 2 (two) types of data, namely secondary data and primary data, which will be processed through interviews and literature. By knowing each of the port time components above, we can understand the key to increasing operational efficiency, reducing costs, and ensuring smooth port and ship operations. Process optimization at each stage of port time implemented can help ports and shipping companies achieve competitive advantage and increase customer satisfaction   Keywords: , , , 

Social media plays an important role in supporting innovation and digitalization of Micro, Small and Medium Enterprises (MSMEs) in Indonesia. This research aims to understand how social media affects the growth of MSMEs through marketing strategies and interactions with consumers. The method used is qualitative analysis on several case studies of MSMEs that successfully use social media. The results show that social media increases product visibility and allows MSMEs to interact directly with customers, understand their neaeds, and adapt quickly to market trends. In addition, feedback from consumers on social media drives product and service innovation. The conclusion of this study is that social media not only improves the competitiveness of MSMEs, but also contributes to national economic growth. The suggestion for MSMEs is to utilize social media proactively and take part in digital marketing training.The implications of this study emphasize the need for support from the government and related institutions in the form of training programs and access to technology to strengthen the capabilities of MSMEs in the digital era. Thus, social media can be a strategic tool for sustainable growth and innovation in the MSME sector.

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 research aims to analyze the effect of E-Service Quality and Perceived Value on Customer Satisfaction in using the Flip application. This study uses quantitative methods by collecting data through a Likert scale questionnaires distributed to active S-1 and D-4 students of the Faculty of Economics and Business State University of Jakarta who are Flip application users. The sampling method applied is purposive sampling, with a final sample of 86 respondents. The data collected was then analyzed using multiple linear regression with the help of SPSS software. The results showed that the two independent variables, namely E-Service Quality and Perceived Value, had a significant positive effect on Customer Satisfaction, both partially and simultaneously. E-Service Quality has a more dominant influence than Perceived Value with a regression coefficient of 0,379. This finding indicates that efficient, reliable, and high-value digital services contribute significantly to increasing Flip user satisfaction.

This study aims to analyze the impact of sharia principles implementation and product innovation on the financial performance of Islamic banks in Indonesia. Using a quantitative approach through regression analysis, the study reveals that consistent adherence to sharia principles and relevant product innovation significantly affect financial performance. Partial tests show that sharia principles significantly influence customer trust and satisfaction, while product innovation contributes to enhancing competitiveness in the digital era. Simultaneously, these two variables strongly impact financial performance, with the regression model explaining 74% of the variance in financial performance. This study highlights the importance of synergy between sharia principles and product innovation in supporting the sustainability of the Islamic banking industry in Indonesia.

The liquidation of a subsidiary in the banking sector is a strategic step with a significant impact on the financial performance, reputation, and sustainability of the parent company. This study aims to analyze the factors that drive liquidation, both internal such as financial performance, mismanagement, and legal compliance, as well as external such as market changes, natural disasters, and globalization pressures. Data were collected through academic literature review using qualitative approaches and data triangulation to improve the reliability of the results. The results of the study show that poor liquidity management, both due to internal and external factors, is the main cause of liquidation. The impact on the reputation of the parent company is dualistic: on the one hand it increases operational efficiency, but on the other hand it risks creating negative perceptions, such as management failures or employee losses. Therefore, companies must strengthen financial management, utilize technology to monitor cash flow in real-time, and develop flexible risk policies. Transparent communication with stakeholders is also important to minimize reputational impact. This study shows that effective liquidity management supports operational efficiency and increases public confidence, customers, and regulators, relevant for both Islamic and conventional banking in dealing with market dynamics.

Micro, Small, and Medium Enterprises (MSMEs) have an important role in driving Indonesia's national economy, where the culinary sector is located. Ayam Penyet Budhe Sutet, a culinary MSME, faces a major challenge in its promotional strategy, limiting its visibility and customer reach. To overcome this, community service programs are implemented to increase competitiveness through a series of targeted initiatives, including redesigning banners, updating menu lists, creating promotional materials for social media, and registering business locations on Google Maps. These efforts aim to increase brand exposure, simplify operational processes, and attract more customers. The expected results include increased sales, increased market presence, and increased business sustainability, thereby contributing to the growth of Indonesia's culinary MSME sector

This research aims to analyze the branding strategy through the Public Relations (PR) approach implemented by Janji Jiwa in increasing brand awareness in the local Indonesian coffee market. PR strategies have an important role in strengthening brand identity, creating emotional connections with audiences, and building customer loyalty. This research method uses a descriptive qualitative approach by collecting data through literature studies, interviews, and analysis of social media and the Janji Jiwa PR campaign. The research results show that Janji Jiwa utilizes consistent brand communication, strategic collaboration with influencers and communities, as well as creative campaigns based on authentic stories to create consumer engagement. Additionally, the integration of digital and offline activities, such as product launches, interactive content, and community events, successfully increases brand visibility and appeal. Continuous monitoring and evaluation of market trends and the effectiveness of PR campaigns is also key to the success of this branding strategy. This research provides practical insights for business people in developing PR strategies to build brand awareness in competitive industries.  

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)