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The search and booking of boarding houses (kost) remain a significant challenge for newcomers in campus areas, particularly in Kelurahan Samata, home to UIN Alauddin Makassar, which admits approximately 15,000 new students annually. Many of these students come from outside the region and require temporary accommodation near the campus. This issue is primarily caused by limited access to information and the lack of an optimal system to support the search and booking process. Therefore, it is necessary to evaluate the level of user acceptance of the developed system. This study aims to analyze user acceptance of a boarding house search and booking information system in the case of Kelurahan Samata using the User Acceptance Testing (UAT) method. UAT is a testing approach used to determine whether a system meets user requirements, is accepted according to expected standards, and to identify the need for further improvements to ensure its feasibility for use. The UAT was conducted by end users, namely boarding house seekers and property owners/managers, by responding to 10 evaluation indicators: (1) ease of search, (2) time efficiency, (3) booking process, (4) geospatial search features, (5) completeness of information, (6) availability of suitable boarding houses, (7) accuracy of information, (8) ease of payment process, (9) check-in scheduling, and (10) navigation features for directions. The results of the User Acceptance Testing (UAT) indicate that the system achieved an average score of 87.77, suggesting that the system is highly acceptable and significantly facilitates users. These findings demonstrate that the system is well received by users, confirming that it functions effectively and is capable of accommodating all required functionalities.

The manual driver scheduling system in the “Mobil keluarga”Rudi car rental Medan business often faces conflicts and inefficiencies. Problems such as driver double-booking, where Driver A is scheduled to accompany Guest B while still serving Guest C, lead to service delays and customer dissatisfaction. This research aims to design and implement a driver allocation module integrated with a Geographic Information System (GIS) to optimize the scheduling process. The method used is Research and Development (R&D) with data collection through interviews and system design using UML and prototyping in Figma. The proposed system utilizes GIS to map driver locations in real-time and identify the nearest available driver to a customer, thereby reducing allocation decision time. It is hoped that this research can produce a system design that serves as a solution to improve service efficiency and operational productivity in Rudi car rental Medan businesses. The integration of GIS in driver allocation is the novelty of this study in the context of small and medium-sized rental businesses.

This study aims to analyze the strategic role of the shipping agent, specifically PT. Naval Global Trans Belawan Branch, in ensuring the smooth flow of the maritime logistics chain. The shipping agent functions as a crucial intermediary coordinating contasiner distribution, bridging the interests of cargo owners, shipping companies, and the Belawan Port authority. The research utilizes a descriptive qualitative approach, with data collection performed through field observation and documentary study within the Belawan Port environment. The findings identify that the shipping agent holds broad responsibilities, commencing with container booking according to the required type and size, scheduling vessel arrivals and departures, managing customs and port documentation, and monitoring container movements (from the depot to loading onto the vessel). This role is highly instrumental in determining port throughput efficiency. However, in carrying out its functions, the shipping agent encounters several significant challenges. These constraints include limited container availability, disruptions in the port information system which is not yet optimally integrated, and dynamic changes in export-import regulations. These obstacles potentially cause operational delays and an increase in logistics costs. The study concludes by emphasizing the importance of better information technology integration between the shipping agent and the port authority. Furthermore, enhancing the quality of human resources (HR) through training and certification is key to ensuring that agents can respond to regulatory changes and operational challenges quickly and professionally.

This study explores in greater depth the effect of online promotions on airline ticket purchasing decisions through e-ticketing applications, emphasizing the mediating role of the digital era. Adopting a quantitative research design, data were collected from 491 respondents who had experience purchasing airline tickets via leading digital platforms such as Traveloka, Tiket.com, Agoda, and Booking.com. Five core online promotional strategies were investigated—discounts and vouchers, email marketing, social media promotions, influencer marketing, and push notifications—each representing distinct digital touchpoints. Partial Least Squares (PLS) analysis was used to test the relationships among variables and to evaluate the mediating effect of the digital era. The results indicate that all five promotional strategies significantly influence purchasing decisions, with influencer marketing and social media promotions emerging as the strongest drivers of consumer behavior. Furthermore, the digital era was shown to enhance consumer trust, accessibility, and engagement, thereby strengthening the impact of online promotions on purchase decisions. These findings highlight the need for airlines and e-ticketing platforms to develop integrated digital marketing strategies that align with evolving consumer behaviors and technological trends. This research contributes to the growing body of literature on digital marketing in the aviation sector and provides practical recommendations for optimizing promotional effectiveness.

This study discusses the application of the K-Means Clustering algorithm in the car rental ordering system. The objective is to help group booking data based on certain patterns such as car type, booking frequency, and rental duration. The clustering results are expected to improve service efficiency and help companies better understand customer preferences. The research was conducted using historical car rental booking data from a rental company. The results show that the K-Means method can successfully cluster booking data into several useful clusters for business decision-making. This extended paper also explores theoretical concepts of clustering, related studies, limitations of the method, and potential future enhancements such as integrating predictive analytics. It highlights the importance of transforming large volumes of raw booking data into actionable business intelligence to support marketing strategies, fleet management, and customer segmentation.  

Technological developments have penetrated various sectors of life, including in the transportation and communication lines in Indonesia. KAI Access is a digital service issued by PT Kereta Api Indonesia in the form of an application. This application is present as a strategic innovation to improve the convenience and comfort of customers in accessing various train services, from ticket bookings, schedule information, to cancellations and refunds. However, from the complaint data submitted by customers, there are two biggest problems that are often experienced, namely related to responsiveness and action from KAI Access which is considered slow in handling user complaints and technical problems. When quick response services are not accompanied by concrete settlement actions, customer trust tends to decline. This research is based on service theory with a service quality and excellent service approach, where the variables of responsiveness and action are the main focus in the analysis of customer loyalty. Using a quantitative approach, with data collection techniques in the form of questionnaires, interviews, and literature studies, the respondents in this study were KAI Access users from the Edan Sepur train loving community. The results showed that the action variable had a positive and significant influence on customer loyalty, while the responsiveness variable did not have a significant influence directly. An important conclusion from this study is that in the context of digital applications such as KAI Access, customers prioritize concrete problem solving rather than just quick response. Therefore, PT KAI needs to strengthen concrete actions in handling complaints to increase long-term loyalty. Therefore, PT KAI needs to strengthen concrete actions in handling complaints to increase long-term loyalty, especially in the era of digitalization of public services that continues to grow rapidly.

A wedding is an important event in a person's life that requires various careful preparations, one of which is sending invitations to guests. This research aims to create an Android-based wedding invitation booking application that utilizes Augmented Reality (AR) technology with a Design Thinking approach. This approach includes five main stages, namely empathize, define, ideate, prototype, and testing, to ensure that the developed application is truly in accordance with the needs and expectations of users. With AR technology, users can view and interact directly with virtual invitations through digital devices such as smartphones, which provides a more engaging, interactive, and modern visual experience than conventional physical invitations. The app's key features include invitation design selection, content customization (name, location, date, and couple's photo), as well as simulated invitation display with three-dimensional effects via AR. The app also allows users to store, share, and place orders directly through an integrated system. The results of the evaluation conducted using the System Usability Scale (SUS) method showed a score of 75.3. This score indicates that the app has a good usability level and is positively received by the majority of respondents. In addition, this application is considered to be able to increase efficiency in the invitation ordering process and provide a more modern and personal impression to users and invited guests. The conclusion of this study is that AR-based wedding invitation booking apps not only serve as a practical tool, but also become digital innovations that enrich the user experience in modern weddings. This research is expected to make a real contribution to the development of creative information technology and inspire other developers to create similar solutions that are innovative, efficient, and relevant to the needs of the times.

The development of the digital ecosystem has disrupted the transportation sector. Traditional transportation businesses have shifted to online transportation. This study aims to analyze Blue Bird's strategy in facing the ride-hailing disruption in Indonesia. The research was conducted using a descriptive qualitative approach. The data was sourced from digital searches and observations. The results show that the digital transformation implemented by PT Blue Bird Tbk has improved operational efficiency and competitiveness in the highly competitive transportation market. The My Blue Bird application, with real-time tracking and cashless payment features, has streamlined the booking process and strengthened customer loyalty. The data indicates an increase in app usage and a reduction in operational costs, supporting the effectiveness of the company's digital strategy. Strategic collaboration with ride-hailing platforms has also significantly contributed to market expansion and increased fleet occupancy. The success of this strategy is reflected in the rise in booking volume and overall customer satisfaction. As a further step that has not been fully implemented, it is recommended that Blue Bird explore the application of AI-based predictive models to optimize fleet scheduling and route dynamics. The use of this technology can provide more accurate demand forecasts and support strategic decision-making in resource allocation. Additionally, the development of a customer feedback system integrated with digital analytics will allow the company to respond to consumer trends and preferences more effectively. These measures, supported by enhanced digital infrastructure and cross-sector collaboration, are expected to further boost Blue Bird's efficiency and growth in the digital disruption era.

The development of the digital-based travel industry is growing rapidly in Indonesia, including in the city of Medan. Traveloka is one of the most widely used platforms for booking tickets and accommodations. However, despite its large user base, there are still complaints about the user experience of the traveloka application which will have an impact on user satisfaction. This study aims to analyze user experience and perceived value on repurchase intention through e-satisfaction for application users in Medan city. The type of research conducted is associative research. The population for this study consists of residents of Medan city who use the Traveloka application, with a sample size of 125 respondents. The sampling technique used is non-probability sampling with a purposive sampling method. The data analysis technique employed in this study is structural equation modeling (SEM) using the Smart PLS version 4.0 analysis tool. Research results User experience has a positive but insignificant effect on repurchase intention. Perceived value has a positive and significant effect on repurchase intention. User experience has a positive and significant effect on e-satisfaction. Perceived value has a positive and significant effect on e-satisfaction on the Medan city traveloka application. E- satisfaction has a positive and significant effect on repurchase intention. User experience has a positive and significant effect on repurchase intention through e-satisfaction. Perceived value has a positive and significant effect on repurchase intention through e-satisfaction.

CV Jambi Permata is located at Jln. Kapten Pattimura No.116, Kenali Besar, Kec. Kota Baru, Jambi City, is a public service facility engaged in travel services. Based on a survey conducted by the author, directly to the location of CV. Jambi Permata. The author finds obstacles caused by the current business process, namely making it difficult for prospective passengers when they have to go directly to the location to find out the availability of travel ticket stock, so that when the ticket runs out, prospective passengers are forced to look for another travel service. Prospective customers must come more than once to the administration to find out the departure schedule, just to adjust the passenger's planned departure schedule. Making it difficult for administration to find customer data and customer departure schedules through books, where the data is already very large. Making it difficult for administration admins to recap data to be made into reports, because they have to check the entire history of previous transactions. then the solution the author offers is able to improve administrative performance in managing reservation data and make it easier for prospective passengers to place orders. The travel ticket booking information system that will be proposed presents more accurate, timely and relevant information. So that with this information, the leadership of CV. Jambi Permata can predict conditions or needs in the future better and can make decisions and can take the best actions for the progress of the business being run.

Hotel booking cancellations pose significant challenges to the hospitality industry, affecting revenue management, demand forecasting, and operational efficiency. This study explores the application of machine learning techniques to predict hotel booking cancellations, leveraging structured data derived from hotel management systems. Various classification algorithms, including Random Forest, XGBoost, and LightGBM were evaluated to identify the most effective predictive model. The findings reveal that XGBoost model outperforms other models, achieving F2-score of 0.7897. Key influencing factors include deposit type, total number of special requests, and marketing segment. The results underscore the potential of predictive modeling in optimizing hotel revenue strategies by enabling proactive measures such as dynamic pricing, targeted customer engagement, and improved overbooking policies. This study contributes to the ongoing advancements in data-driven decision-making within the hospitality industry, offering insights into how machine learning can mitigate financial risks associated with booking cancellations.

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.

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 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 measure user satisfaction with the Booking Bromo website using the Modified WebQual 4.0 method. The website is used by tourists to book entrance tickets to Bromo Tengger Semeru National Park (TNBTS); however, there have been complaints about service quality, such as frequent server inaccessibility, a monotonous website design, and a lack of community interaction features. Using a quantitative approach, the study involved 338 respondents who were users of the Booking Bromo website. Data were collected through a questionnaire measuring variables such as Usability Quality, Information Quality, Service Interaction Quality, Visual Quality, and User Satisfaction. The results show that Usability Quality and Information Quality significantly influence User Satisfaction, while Service Interaction Quality requires improvement, particularly in transaction security and user communication features. This study provides recommendations to enhance website service quality and features to improve user satisfaction, such as improving server stability, providing clearer information, and adding more interactive community communication features. 

This study aims to analyze the service management strategies implemented by PT Gojek Indonesia to enhance customer satisfaction. Using a qualitative approach based on literature review, the research explores the relationship between service quality, service diversification, and technological innovation in shaping customer experiences. The findings reveal that service management strategies, such as quick booking features, real-time tracking, and digital payment solutions via GoPay, significantly influence customer satisfaction. Service variations like Go-Ride, Go-Car, and Go-Food enable Gojek to meet diverse customer needs, while a focus on reliability and security assurance fosters user loyalty. The study highlights the importance of continuous innovation and quality improvement to maintain Gojek's competitive position in the online transportation service market.

The Segitiga Motor website was developed using the Laravel framework with the SDLC Waterfall model approach to digitize the management of customer data and workshop services. The development process includes stages such as requirements analysis, system design, implementation, testing, and maintenance. Laravel was chosen for its ability to speed up development through reusable components and its organized and flexible structure. The website successfully integrates key features such as online service booking, customer data management, product catalog, and promotions, all effectively. Testing results show that the system works as planned, enhancing operational efficiency and making it easier for customers to access services. For future development, adding features like analytics and integration with digital payment systems could further improve customer experience and satisfaction.    

Marketplace system is a means of meeting sellers and buyers online, in this case service providers and car renters. With this information system, renters no longer need to bother looking for the required car that matches the criteria, and service providers are also easier in marketing and expanding their marketing reach. This system was built using the RAD (Rapid Application Development) method of development which allows customers to place orders, select vehicles, eliminating complexity in the traditional process involving visits to rentals. In car rental services there are several problems that need to be resolved. First, there is no web-based information system service that makes it easy for customers to access car rental service company information. Second, conventional services are still fairly slow. Currently, reservations are made in two ways, namely coming to the place or contacting the telephone number on Whatsapp so that prospective tenants have to wait for a response from the rental provider to get information about prices and available cars. Therefore, a car rental information system is needed that specifically serves fleet rental with online booking to display transaction information in the form of car rental and return on the system dashboard to support strategic purposes. This research focuses on building a car rental information system using the PHP programming language with the CodeIgniter framework.  

This analysis examines how price and trust influence the decision to book a room through online travel agencies in Daima Hotel Padang (Traveloka case study). with two independent variables consisting of price and trust, and the dependent variable consisting of the booking decision. This research is quantitative and uses a causal-associative approach. The sample consists of 194 respondents and a Likert scale was used for data collection. SEM-PLS 3 as data analysis. The hypotheses showed that ordering decision has no significant effect on price, with a t-statistic of 1.740 < 1.96 and a p-value of 0.083 > 0.05. On the other hand, ordering decision has a significant effect on trust, with a t-statistic of 5.922 > 1.96 and a p-value of 0.000 < 0.05.    

Electronic vehicles (EV) are not only an alternative for fossil fuel cars to reduce the rate of air pollution but also as a strategy to expand market share in Indonesia. This research aims to analyse the Wuling Air EV product strategy in attracting consumer to purchasing the electric cars. The research was conducted using a descriptive qualitative approach. Research data comes from search results in various digital databases and official publications. The research results show that the success of Wuling Air EV sales cannot be separated from the implementation of an omnichannel marketing strategy (offline and online) to attract consumer interest in electric vehicles. The omnichannel marketing strategy implemented involves various channels, both online or social media and directly through car shows or at dealers. This makes Wuling Motors take the opportunity, apart from intensifying promotions at dealers, offline exhibitions or car auto shows, but to utilize online marketing Wuling collaborating with car reviewers and influencers, providing options for purchasing or booking via e-commerce, and provide a home test-drive simply through the application. In this way, Wuling Indonesia has a goal of being able to create a touch point with the public regarding electronic vehicles (EV) both offline and online.