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This research was designed using Unified Modeling Language (UML) as a tool for visualizing system requirements. The system designed is expected to improve efficiency, accuracy and speed of service, thereby providing a better experience for customers and making it easier for Bank Sumut officers to manage registration data. The system development method used is waterfall. The research results show that the designed information system can automate various manual processes such as collecting prospective customer data, document validation, and managing account data. It is hoped that this management information system can be used to provide an overview of the applications that will be created to increase the Bank's operational productivity and minimize the potential for administrative errors, as well as supporting the digital transformation of Bank North Sumatra in facing competition in the banking sector.

The aviation industry in Indonesia has experienced rapid growth in line with the increasing demand for air transportation. One of the key aspects of airline service is the check-in process, which serves as the first interaction between passengers and the airline and plays a role in shaping the customer experience. This study aims to analyze the impact of check-in counter service quality on passenger satisfaction with Super Air Jet at Sultan Aji Muhammad Sulaiman (SAMS) Sepinggan International Airport, Balikpapan. This research employs a quantitative approach using a survey method, involving 100 passenger respondents who have used Super Air Jet at least once and are aged between 17 and 40 years. The survey was conducted at Sultan Aji Muhammad Sulaiman (SAMS) Sepinggan International Airport, Balikpapan. Data analysis was performed using validity tests, reliability tests, classical assumption tests, simple linear regression, T-tests, and the coefficient of determination (R²). The results of the study indicate that the quality of check-in counter service has a positive and significant impact on passenger satisfaction. The simple linear regression test shows a regression coefficient value of 0.351 with a correlation value of 0.942. Additionally, the T-test results show a calculated t-value of 20.931, which is greater than the critical t-value of 1.660, with a significance level of 0.000 < 0.05, thereby supporting the research hypothesis. Based on these findings, it can be concluded that improving service quality at the check-in counter plays a crucial role in enhancing passenger satisfaction.

The apparel industry in Chengdu is transforming significantly due to integrating artificial intelligence (AI) technologies. This evolution aims to enhance consumer satisfaction by providing personalized shopping experiences, improving inventory management, and streamlining the supply chain. AI-driven algorithms analyze consumer behavior and preferences, allowing retailers to create tailored recommendations that align with individual tastes. Additionally, AI tools enable efficient inventory management by predicting trends and consumer demand, which helps reduce instances of overstock and stockouts. This optimization improves operational efficiency and ensures customers can find their desired products when visiting stores or online. This study was conducted through an online questionnaire distributed to 376 Chengdu participants to measure their attitudes toward AI improvement in the apparel industry. The findings underscore that innovative technology, perceived information quality, and perceived customization correlate with consumer satisfaction in AI experience improvement.    

This abstract explores the role of artificial intelligence (AI) in enhancing consumer satisfaction in Sichuan's online customer experience and service efficiency. With the rapid growth of e-commerce, understanding consumer preferences and behaviors has become crucial. AI technologies like chatbots, predictive analytics, and personalized recommendations are integrated into online platforms to streamline service delivery and improve user interactions. By leveraging data-driven insights, businesses can tailor their offerings to meet the specific needs of consumers, thereby increasing satisfaction levels. Furthermore, AI facilitates faster response times and more efficient problem resolution, leading to a seamless shopping experience. This study was conducted through an online questionnaire distributed to 380 Sichuan participants to measure their optimization and service efficiency satisfaction. The findings underscore that technical infrastructure, user acceptance and engagement, and service quality positively correlate with consumer satisfaction in AI experience improvement.

This study aims to test how much influence Price and Customer Experience have on Sales Level with Brand Image as an Intervening Variable at Kopi Kenangan Ruko Sutomo in Padang City. The sample in this study amounted to 100 respondents on customers at Kopi Kenangan. This population is customers of Kopi Kenangan Ruko Sutomo in Padang City. The results of this study are (1) There is a positive and significant influence between Price and Brand Image at Kopi Kenangan Ruko Sutomo in Padang City. (2) There is a positive and significant influence between Customer Experience and Brand Image at Kopi Kenangan Ruko Sutomo in Padang City. (3) There is a positive and significant influence between Price and Sales Level at Kopi Kenangan Ruko Sutomo in Padang City. (4) There is a negative and insignificant influence between Customer Experience and Sales Level at Kopi Kenangan Ruko Sutomo in Padang City. (5) There is a positive and significant influence between Brand Image and Sales Level at Kopi Kenangan Ruko Sutomo in Padang City. (6) Brand Image is able to mediate Price and Sales Level at Kopi Kenangan Ruko Sutomo in Padang City. (7) Brand Image is able to mediate Customer Experience and Sales Level at Kopi Kenangan Ruko Sutomo in Padang City.

The rapid development of information technology and telecommunications has driven companies and MSMEs to adopt desktop, mobile, and web-based applications to enhance operational performance. PT HPS Painan Padang, previously relying on manual ticket bookings, faced challenges in efficiency and susceptibility to brokering practices. To address this, a web-based travel ticket booking application was developed, enabling customers to book tickets online more practically, quickly, and conveniently, anytime and anywhere. The integration of Natural Language Processing (NLP) technology in the form of a chatbot further enhances service efficiency and responsiveness. This feature provides real-time information on departure schedules, seat selection, and payment transactions while also supporting sentiment analysis and swift responses to customer feedback, ultimately improving service quality. The application, built using PHP, MySQL, and CodeIgniter with a Prototype development approach, adapts to changing market demands. Testing via GTmetrix on the https://desistravel.xyz/backend page demonstrated excellent performance with an 88% Performance score, 95% Structure score, and optimal Web Vitals metrics, indicating a fast, responsive, and stable platform. The final product is a user-friendly web-based ticket booking application supported by an intelligent chatbot, offering a seamless user experience, enhancing customer satisfaction, and streamlining the travel booking process efficiently.

This study explores the intricate interplay between competitive advantage, customer focus strategies, and customer satisfaction within the service industry, emphasizing a human-centered approach to organizational development. Through a comprehensive literature review, the research highlights the transformative potential of aligning strategic initiatives with human values and emotional resonance. It underscores the importance of cultivating meaningful relationships with customers to create sustainable competitive advantages that extend beyond traditional economic metrics. The findings reveal that customer satisfaction is deeply rooted in both functional service excellence and emotional connections. By leveraging insights from customer experiences, organizations can design tailored strategies that resonate with individual needs and aspirations. Furthermore, the research demonstrates how customer-centric approaches influence broader organizational culture, fostering environments that prioritize empathy, innovation, and authentic human engagement. This study contributes to the theoretical discourse by framing competitive advantage as a human endeavor and offers practical implications for service organizations aiming to achieve operational excellence while honoring the human dimensions of service delivery. The integration of strategic, operational, and tactical levels forms a cohesive framework for achieving enduring success through genuine customer relationships and continuous adaptation to evolving market dynamics.

The rapid development of information technology has provided great opportunities for the service sector to improve efficiency and convenience, including in vehicle washing services. This research aims to develop a web-based system using the Laravel framework, which is designed to simplify the online ordering process and overcome queuing problems. The system features user authentication, location-based booking, payment gateway integration for real-time transactions, and an interactive dashboard for service providers. The case study was conducted at Carenmore, a vehicle wash service in Krian. The implementation results show that the system is able to reduce customer waiting time, provide a better user experience, and improve service efficiency. Further development is recommended to add a variety of features, improve interface design, and increase the system's ability to handle larger user loads.

The rapid advancement of information and communication technology has transformed and opened business perspectives and operations, particularly in UMKM the photography industry. As the demand for online photography services continues to rise, it is crucial for service providers to develop efficient information systems to manage photo sales effectively. The research titled "Development of the POVSHOT Mobile Application for Online Photo Sales Using Flutter and MySQL" aims to facilitate online photo sales through the implementation of Flutter technology and a MySQL database. The findings indicate that the "POVSHOT" application successfully integrates features such as photo uploading, payment management, and user administration within a user-friendly interface. This study suggests that the use of mobile applications can enhance security in the photo sales process and provide a better experience for users. The implications of this research highlight that photography service providers can leverage mobile technology to expand their market reach and improve customer satisfaction through a more integrated and responsive system.

This study analyses the effect of ease of use, user experience, and customer satisfaction on user behaviour of e-commerce applications for students of the Faculty of Economics and Business, Universitas 17 Agustus 1945 Surabaya. The method used is causal associative quantitative with data collection through questionnaires on 122 respondents. The results showed that the three variables had a significant effect on user behaviour. Ease of use (p = 0.026), user experience (p = 0.002), and customer satisfaction (p = 0.002) each have a positive influence on user behaviour. Simultaneously, these three factors also had a significant effect (Fcount = 25.059, p = 0.001). The findings support the theories of Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB), and Customer Experience Theory (CET). The practical implication is that app developers need to focus on easy-to-use design, pleasant user experience, and increased customer satisfaction to increase loyalty. This study has limitations in the sample of university students and the cross-sectional method which does not allow for long-term generalisation.

The Internet of Things (IoT) has become one of the leading technologies in digital transformation, including in customer relationship management (CRM). This article discusses how IoT integration in CRM systems can improve customer satisfaction and retention through real-time data collection, service personalization, and data-driven decision making. With a literature study and implementation analysis, this research shows that IoT technology can provide deeper insight into customer behavior, improve operational efficiency, and create a more satisfying customer experience.

This literature review examines the impact of Corporate Social Responsibility (CSR) disclosure on mergers and acquisitions (M&A), focusing on market reactions, post-merger integration, and long-term performance. The review reveals that CSR disclosure often leads to positive market reactions, fostering investor confidence and increasing stock prices during M&A announcements. Furthermore, CSR practices contribute to smoother post-merger integration by aligning organizational cultures and fostering trust. Over the long term, companies that integrate CSR into their strategies generally experience enhanced brand value, customer loyalty, and competitive advantage. However, the effectiveness of CSR disclosure depends on its authenticity and strategic alignment with corporate goals. The review also highlights the need for further research in emerging markets and the exploration of qualitative approaches to deepen understanding of CSR’s role in M&A.

The rapid development of information technology and telecommunications has driven companies and MSMEs to adopt desktop, mobile, and web-based applications to enhance operational performance. PT HPS Painan Padang, previously relying on manual ticket bookings, faced challenges in efficiency and susceptibility to brokering practices. To address this, a web-based travel ticket booking application was developed, enabling customers to book tickets online more practically, quickly, and conveniently, anytime and anywhere. The integration of Natural Language Processing (NLP) technology in the form of a chatbot further enhances service efficiency and responsiveness. This feature provides real-time information on departure schedules, seat selection, and payment transactions while also supporting sentiment analysis and swift responses to customer feedback, ultimately improving service quality. The application, built using PHP, MySQL, and CodeIgniter with a Prototype development approach, adapts to changing market demands. Testing via GTmetrix on the https://desistravel.xyz/backend page demonstrated excellent performance with an 88% Performance score, 95% Structure score, and optimal Web Vitals metrics, indicating a fast, responsive, and stable platform. The final product is a user-friendly web-based ticket booking application supported by an intelligent chatbot, offering a seamless user experience, enhancing customer satisfaction, and streamlining the travel booking process efficiently.

This study aims to analyze the implementation of the Betang Mobile application as an innovation in welfare services for MSME partners at PT. Bank Pembangunan Kalimantan Tengah. The study uses a qualitative approach with in-depth interviews and document analysis to explore the experiences and perspectives of various stakeholders involved, including MSME customers, customer service, and bank management. The research method applied is a case study with an innovation diffusion theory approach as proposed by Everett M. Rogers (1995). In this study, five key characteristics of innovation diffusion relative advantage, compatibility, complexity, trialability, and observability are used to evaluate the impact and acceptance of the Betang Mobile application among MSME partners. Data collected from interviews with informants, including MSME customers and customer service, indicate that 75% of MSME players feel the application enhances service access, while 85% of users find the application compatible with their needs. The findings show that the Betang Mobile application has provided benefits in terms of efficiency and ease of access for MSME partners. About 40% of users report increased satisfaction, and 82% consider the application more efficient compared to traditional methods. Challenges include the adoption of technology by older MSME players and those in remote areas. Based on these findings, the study recommends that Bank Pembangunan Kalimantan Tengah focus on digital education for MSME partners, strengthen data security systems, and consistently update features to maintain the application's relevance. In conclusion, the Betang Mobile application has proven to make a positive contribution to the welfare services of MSME partners, with visible impacts on the accessibility and efficiency of banking services. To enhance the effectiveness of this application, it is recommended that Bank Pembangunan Kalimantan Tengah address challenges related to technology adoption and data security, as well as conduct regular evaluations of the application's features to keep them aligned with evolving user needs.

PT. Dian Swastatika Sentosa generates electricity through a private thermal power plant. This company produces steam and electricity for paper mills. The company hopes to meet its steam and electricity needs in 2023 with a boiler with a load capacity of 180 tons and a maximum capacity of 220 tons. However, from February to July 2023, that goal was not achieved. The most common problems faced by this company are the failure to conduct preventive inspections and timely machine maintenance, as well as the failure to carry out necessary repairs. Delays in machine repairs, which result in inconsistent machine downtime schedules to meet customer demand, leading to damage to boiler equipment, causing abnormal boiler operation and reduced steam production. This research aims to design equipment to withstand operational impacts using failure mode and effects analysis (FMEA) with the Soft Systems Methodology (SSM) and reliability-centered maintenance (RCM) techniques. The RCM method assists in identifying the processes that must be followed to guarantee that a machine or system performs as intended. RCM can also be used to design, choose, and create alternative maintenance methods that are focused on safety, operations, standards, and economics. For the entire problem in the investigation, a dynamic model is necessary. An analytical system is used in this model in order to recognize and duplicate the features of the overall system., as well as to provide repair solutions and address the burden of the problem. This research produces a presentation in the form of problem identification, causal loops, diagrams of machines that frequently experience failures, rich images of the causes and effects of the ball plate crusher liner damage, root cause definitions, and conceptual models for repair and maintenance. business productivity and debating process. 

This study aims to enhance the competitiveness and market reach of Micro, Small, and Medium Enterprises (MSMEs) in Kedungjambe Village through the optimization of social media marketing and e-commerce platforms. The primary challenge faced by MSMEs is limited consumer visibility due to ineffective promotional and marketing strategies. The proposed solution includes training on digital marketing strategies utilizing social media platforms like WhatsApp Business for interactive communication with customers and leveraging the features of the Shopee e-commerce platform to expand market reach. MSME participants were trained to create engaging promotional content, utilize WhatsApp Business broadcast features to foster customer engagement, and effectively manage online stores on Shopee, including crafting informative product descriptions, managing inventory, and analyzing sales performance. A simulation of digital marketing through Shopee was conducted to provide hands-on experience for the business owners. The results of the program demonstrated a significant improvement in MSME competitiveness, brand awareness, customer engagement through social media, and sales volume on Shopee.  

This study aims to increase brand awareness of Micro, Small, and Medium Enterprises (MSMEs) in Kedungjambe Village by optimizing the use of WhatsApp Business and the Shopee e-commerce platform. The main problem faced by MSMEs is low competitiveness due to lack of visibility among consumers. The proposed solution includes training in digital marketing strategies with a focus on managing WhatsApp Business accounts for more effective communication with customers, as well as utilizing Shopee features to expand the market. MSME actors were given training in creating attractive promotional content on WhatsApp Business, using broadcast features for direct interaction, and managing online stores on Shopee, including optimizing product descriptions, stock management, and sales analysis. In addition, a simulation of utilizing Shopee as a strategic sales channel was also carried out to strengthen the marketing experience. The results of this activity showed a significant increase in brand awareness, the number of customers connected via WhatsApp Business, and sales volume on Shopee for participating MSMEs.

This research aims to analyze the influence of using social media as a promotional strategy on increasing sales at PT. Destini Marine Safety. Along with the development of digital technology, social media has become an effective promotional tool for companies in expanding market reach and increasing interaction with consumers. The research method used is a quantitative method with a descriptive approach. Data was collected through interviews and observations of the company's promotional activities on social media. The research results show that the use of social media as a promotional strategy has a significant effect on increasing sales. Platforms like Instagram help companies disseminate product information, build relationships with customers, and increase customer loyalty. With increased interaction and exposure through social media, PT. Destini Marine Safety experienced positive sales growth. This research recommends optimizing the use of creative and interactive content to increase the effectiveness of promotions on social media.

The cosmetics industry in Indonesia continues to experience rapid development, especially with increasing consumer preferences for local products. Hanasui, as a local cosmetic brand, offers quality facial serum at affordable prices which is available on various e-commerce platforms. This research aims to analyze the factors that influence consumer behavior in purchasing Hanasui serum, including product quality, price, online reviews and social recommendations. Referring to previous research, factors such as social class, reference groups, product knowledge, and online customer reviews are known to play an important role in cosmetic product purchasing decisions. The findings of this research are expected to provide in-depth insight for manufacturers and marketers to formulate more effective marketing strategies, increase customer loyalty, and strengthen Hanasui's position in the local cosmetics market.  

This literature study examines the influence of trust on Tokopedia customer loyalty. Tokopedia is one of the market places that is widely used by customers in Indonesia. The factor that Tokopedia uses is the level of consumer trust in Tokopedia. This study applies a qualitative research method with a literature study approach from various relevant scientific sources. The results of the study revealed that trust has a significant effect on customer loyalty. This confirms that trust has a very significant effect on Tokopedia customer loyalty, which means the importance of building customer trust to increase loyalty, which in turn can increase customer retention and sales. This finding provides implications for Tokopedia's marketing strategy to build stronger relationships with customers and improve their shopping experience.