Ticket Management Research Articles

Quality Evaluation of Ticketing Management System Using ISO/IEC25010:2023 Standards and AHP Method

Purpose: Information Technology plays a crucial role in supporting education service systems. When system-related issues arise, a Ticket Management System (TMS) becomes essential to address various software and hardware problems. Evaluating the performance and quality of TMS applications is necessary to ensure their effectiveness. This study assesses the quality of a TMS application developed by University of Amikom Yogyakarta, using ISO/IEC 25010:2023. Methods/Study design/approach: The Analytic Hierarchy Process method is employed to prioritize three key ISO/IEC 25010 characteristics by engaging TMS application users. Following the ranking, the study conducts quality measurements using questionnaires and black box testing. The questionnaire results are assessed using a Likert scale to determine scores for the TMS application based on the sub-characteristics of the three selected ISO/IEC 25010:2023 characteristics and the AHP-derived rankings. Result/Findings: The findings indicate that the TMS application achieved a quality score of 4.354. This shows that the TMS application is in the good category. Novelty/Originality/Value: The study highlights the need for performance efficiency improvements, specifically in the Time Behavior sub-characteristic, to enhance the overall quality of the TMS application.

Pengembangan Potensi Desa Wisata Pasirnanjung Geulis

The management of Pasirnanjung Geulis tourism village has not been optimal, such as the lack of attractions, lack of visitor management and ticket management. The purpose of this research is to discover the description and potential of Pasirnanjung Geulis Tourism Village, as well as the steps that have been taken or are needed to develop it. This research uses a qualitative method with a case study design. This research was taken in three stages using data triangulation, namely interviews, observation, and documentation research, and there were ten participants or sources used to analyze the data. To analyze the data, this research collects data, presents data, reduces data using NVivo, and draws conclusions. Pasirnanjung Geulis Tourism Village has great potential as a tourist destination because of its natural beauty and cultural wealth. However, the development of tour packages, ticketing systems, social media management, and the provision of basic facilities are all still needed. The village has yet to generate equitable financial benefits for the entire local population, despite many people contributing.

Sistem informasi manajemen ticketing event dengan payment gateway berbasis Node.js dan Next.js

University of Merdeka Malang, which is a private university in Malang City, is one of the music concerts held by one of the faculties, namely FTI Fest. However, in managing this event, various manual methods are still used and tend to be less effective in carrying out transaction processes, especially in terms of ticket sales. Therefore, a management information system is needed that suits your needs. In designing this information system using the waterfall method. The research stages were carried out starting from system requirements analysis, system design, implementation, system testing to maintenance. The results of this research make it easier for admins or event managers to carry out event and ticket management, simplify the process of recording transactions, apart from that, with the existence of a payment gateway, buyers can carry out event ticket purchase transactions anywhere and at any time.

Research on the Development Direction and Countermeasures of Civil Aviation Ticketing Offices

With the popularization of electronic tickets and the development of information technology, aviation e-commerce has rapidly developed. The marketization of civil aviation in China has made agents no longer limited by the original ticket management and terminal maintenance. In order to pursue greater marginal profits, various sales prices and measures have spread through the network, and sales channels are becoming more and more diversified. The forms of air ticket sales are also diverse. Based on the analysis of the advantages and disadvantages of online platform sales and traditional ticket office store sales under e-commerce, the author believes that ticket offices can develop towards joint tourism integration and upgrading, and provide diversified services according to their own situation.

Design and Development Museum Ticketing System (MTS) with Design Thinking Method

This research journal describes the process of providing solutions to museum ticketing problems with the application of an online ticket management system. The process of making this MTS (Museum Ticketing System) uses the Design Thinking method to complete the stages of making business processes with use cases, ERD (Entity Relationship Diagram), databases and their relations, programming with PHP, wireframes and UI/UX mockups. The final step is to carry out the functional testing process with the black-box method. And researchers tested the display using usability testing with the result of getting a value of 74.35 with 40 user respondents.

Implementasi Algoritma Enkripsi Pada Sistem Informasi Manajemen Helpdesk Berbasis Desktop

This paper discusses the implementation of encryption algorithms in a desktop-based Helpdesk Management Information System developed specifically for IT teams in private hospitals. IT teams in private hospitals often face complex challenges due to the large hospital area and limited resources. Creating a Helpdesk application using Delphi and a MySQL database is very important to provide efficient technical support. One of the key aspects of this application is the interactive chat feature, which is built using a server-client socket system. In this communication context, encryption algorithms are needed to ensure the security of data transmitted between the IT team and system users. This helps protect sensitive patient data and technical information from the potential risk of leakage. The scope of this Helpdesk application includes ticket management, routine checks, maintenance, tool rotation, and various other support The implementation of encryption algorithms in this application effectively increases the level of data security in all operational processes. The helpdesk application was built using the Extreme Programming (XP) method.
 Keywords: Encryption algorithm, AES-256, Helpdesk Management Information System, Delphi, MySQL.

Investigating the Effect on Productivity of a Geospatial Ticket Management System for Power Distribution Network Studies

Increasing productivity without jeopardizing the network’s operation, consumers’ experience, and the safety and integrity of procedures, is a major goal for all utilities. Scheduling of work has a direct impact on productivity, especially in the case of utilities that cover a wide geographical area using a limited number of employees. In the case of power utilities, however, scheduling has to consider, apart from the location of issues, the type and technical characteristics of each issue as well as its priority has to be considered in order to produce an optimum schedule. This paper focuses on the impact on productivity of a geospatial ticket management system considering the experience from such a system applied on network studies performed by HEDNO, the Greek Distribution Network Operator, in Patras Area. The term "network studies" is used to describe the study of all expansion and alteration works, ranging from a single Low Voltage (LV) pole installation to major Medium Voltage (MV) network rearrangements/expansion, and includes visits and measurements on the actual location as well as in-door calculations. In Patras Area, the local HEDNO division implemented in 2021-2022 a geospatial ticket managing system, based on available network data and custom Google Maps, aiming to increase its productivity by optimizing the scheduling process. Initial results published in February 2022, showed a significant productivity increase (up to 42%). However, the initial results considered a time span of only one month and thus could easily be misleading. This paper revisits the issue considering a larger time span (more than two years) that should provide more trustworthy results. It also briefly presents the latest updates and improvements made to the system. Results show that the increase in the number of studies and their predicted costs are similar to the initial results, with the increase in productivity being around 41%. In September 2022, HEDNO set the very ambitious goal of significantly increasing the overall production of network studies (more than double in terms of predicted costs) and the use of such a system can provide valuable help towards achieving this goal.

Penguatan Tata Kelola Parawisata Untuk Peningkatan Pendapatan Kecamatan Maitara Selatan Kota Tidore Kepuluan

From the various tours in the city of Tidore, these islands are expected to contribute to encouraging economic growth and equitable development that causes the welfare of the people in the city of Tidore Islands specifically on Maitara Island. Because tourism can also have a positive impact on economic growth. PKM Method Lectures, Practice and Participant Assistance. PKM results; Sunday, March 19, 2022, took place at the tourist site. The participants who attended this PKM activity were 30 people consisting of village government, community shops and youth shops engaged in tourism development in Ebay village. Good governance is needed, so that all sectors have an economic impact on the community, increasing people's income; Ticket management must be improved, waste is managed to make it an economic value in tourism places make tourism eeducation for visitors, transportation tools are arranged properly so that visitors can reach transportation costs and transportation at any time is always there if needed by visitors to tourism places.

Vehicle-to-Blockchain (V2B) Communication: Integrating Blockchain into V2X and IoT for Next-Generation Transportation Systems

As smart transportation systems evolve, secure and efficient V2X communication between vehicles and infrastructure becomes crucial. This paper introduces a Vehicle-to-Blockchain (V2B) communication architecture, leveraging blockchain technology for transparent and decentralized interactions. Our work contributes to the integration of blockchain into V2X and IoT for next-generation transportation systems. We propose several novel blockchain use cases, including a blockchain-based vehicle ownership system based on the multi-token standard, a vehicle scoring system, blockchain–IoT integration, and a decentralized ticket management system for transportation services. The architecture addresses key aspects, such as data integration, validity, and secure messaging, and introduces a decentralized payment system and marketplace for transportation in smart cities. We specifically emphasize the technical implementation of smart contracts for these use cases, underscoring their role in ensuring robust and reliable interactions. Through our decentralized approach, we pave the way for a transformative transportation ecosystem that is adaptable, resilient, and capable of meeting the evolving needs of smart cities.

Digitization of Babcock University Cafeteria Ticket Management System

Digitization of Babcock University Cafeteria Ticket Management System

Maximizing Efficiency and Customer Satisfaction with Modern Helpdesk Ticketing System

Abstract: HelpDesk Ticketing system (HDTS) is an electronic support ticket management system for creating, managing, updating & viewing of tickets logged in to the web portal of ticketing system. Incidents in organizations & institution are difficult to track & unmanageable to work upon when used traditional method. This HelpDesk Ticketing System will track all the tickets logged into the ticketing system while providing users an efficient & simple way to raise the tickets. Also, it becomes easier for engineer to solve the issues incoming in an organization or institution. This tool becomes a centralized way of communication for any incidents. When the user raises the ticket for the incident, is then forwarded to the IT HelpDesk followed by the IT Manager & IT Engineer

Centralized End User Support System using Rapid API and Firebase with BOT Framework

A Centralized customer support system is a software platform designed to manage and streamline customer interactions with a company. This system is typically used by customer service teams to provide support, handle inquiries, and resolve issues. The main objective of a centralized customer support system is to improve the overall customer experience and satisfaction by enabling prompt and effective communication between customers and the company. The system can include various features, such as a knowledge base, automated responses, live chat, and ticket management, all aimed at ensuring that customers receive the best possible service. A centralized customer support system is an essential tool for any business looking to enhance their customer service capabilities and build long-term relationships with their clients.

Exploration of the Ideological and Political Implementation Plan for the Course of "Urban Rail Transit Ticketing Management"

This research is based on the teaching practice process of urban rail transit operation management major in higher vocational colleges. Taking the course of Urban Rail Transit Ticketing Management as an example, focusing on the three teaching links before class, during class and after class, this research explores the curriculum ideological and political implementation plan from the seven stages of curriculum ideological and political teaching objectives, curriculum ideological and political teaching content, and curriculum ideological and political teaching situation creation, independent exploration, collaborative learning, effect evaluation, and after-school reflection. The teaching implementation plan indicates that this teaching model can effectively integrate value guidance into the knowledge transfer process and ability enhancement, enhance professional literacy, and achieve the goal of comprehensive education for all students in the ideological and political education curriculum.

Combining deep ensemble learning and explanation for intelligent ticket management

Intelligent Ticket Management Systems, equipped with automated ticket classification tools, are an advanced solution for handling customer-support activities. Some recent approaches to ticket classification leverage Deep Learning (DL) methods, in place of traditional ones using standard Machine Learning and feature engineering techniques. However, two challenging objectives should be addressed when applying DL methods to real-life contexts: (i) curbing the risk of having an overfitting model that hinges on spurious ticket features, and (ii) trying to explain the ticket classifications returned by such black-box models. In this work, we propose a comprehensive ticket classification framework, which relies on training a novel kind of ensemble of deep classifiers, and on providing AI-based interpretation methods to help both the operator in recognizing misclassification errors and the analyst in improving and fine-tuning the model.Tests on real data confirmed the accuracy of the classifications returned by the framework, and the practical value of their associated explanations.

Using Google My Maps as a Geospatial Ticket Management System for Scheduling and Monitoring Power Distribution Network Works

The need to ensure the long-term ability of power distribution systems to meet demands means that upgrades and alterations/expansions, as well as inspection and maintenance works, are constantly necessary. This paper presents an approach to use custom Google Maps as a ticket management system for scheduling and monitoring such works. A geospatial representation is rather useful in networks that are great in length and follow irregular routes (which is typically the case for power distribution networks). However, acquiring a representation of such networks, especially for the Low Voltage side, is an enormous task. This paper presents a cost-free and easy-to-implement approach that can be used in the absence of a full geospatial representation of the network. This approach utilizes an assign-to-the-feeding-transformer (for all Low Voltage issues) and assign-one-indicating-point (for each Middle Voltage issue) scheme, thus, requiring a minimum amount of data easily retrieved from the network. This approach provides a georeferenced ticket management system that can be employed for improved monitoring and scheduling through a user-friendly and free-to-use web-based application which use requires no additional costs or training. The presented approach has been applied in the area of Patras, Greece and initial results, showing a significant improvement in productivity, ranging from 10% to 42%, along with background information are further presented and discussed in this paper.

Closing the Feedback Loop in DevOps Through Autonomous Monitors in Operations

DevOps represent the tight connection between development and operations. To address challenges that arise on the borderline between development and operations, we conducted a study in collaboration with a Swedish company responsible for ticket management and sales in public transportation. The aim of our study was to explore and describe the existing DevOps environment, as well as to identify how the feedback from operations can be improved, specifically with respect to the alerts sent from system operations. Our study complies with the basic principles of the design science paradigm, such as understanding and improving design solutions in the specific areas of practice. Our diagnosis, based on qualitative data collected through interviews and observations, shows that alert flooding is a challenge in the feedback loop, i.e. too much signals from operations create noise in the feedback loop. Therefore, we design a solution to improve the alert management by optimizing when to raise alerts and accordingly introducing a new element in the feedback loop, a smart filter. Moreover, we implemented a prototype of the proposed solution design and showed that a tighter relation between operations and development can be achieved, using a hybrid method which combines rule-based and unsupervised machine learning for operations data analysis.

IBM Predictive Analytics Reduces Server Downtime

IBM has deployed its Predictive Analytics for Server Incident Reduction (PASIR) solution to more than 360 information technology (IT) environments worldwide since 2013. These environments, covering sectors from banking to travel to e-commerce, are serviced by IBM support groups. Incidents occurring on servers, including problem descriptions and resolutions, are documented in client account-specific ticket management systems. PASIR uses machine learning to classify the incident tickets within an IT environment and identify high-impact incidents that involve server outages by using the respective ticket descriptions and resolutions. It then correlates these high-impact tickets with server properties and utilization measurements to identify problematic server configurations. Finally, for such configurations, PASIR uses statistical multivariate analysis and simulation methods to prescribe improvement and modernization actions. In this paper, we present the results achieved from deploying this solution. We describe the PASIR approach, from ticket classification to the recommendations of remediation actions (e.g., hardware and software upgrades). We demonstrate the model’s effectiveness by comparing predictions on the impact of prescriptive actions with actual system improvements. Since 2013, we have applied PASIR to more than 840,000 client servers, resulting in more precise upgrade spending and environmental stability, thus saving our clients an estimated $7 billion.

Optimized Design of Multilines Center of Subway AFC System via Distributed File System and Bayesian Network Model

Automatic fare collection system (AFCS) is a modern, automatic, networked toll collection system for rail transit ticket sales, collection, billing, charging, statistics, sorting, and management. To realize the subway transit networking operation, this paper designs the subway AFCS based on a distributed file system (DFS), namely, Gluster File System (GlusterFS). Firstly, the multiline center (MLC) in the subway AFCS is designed to analyze the status and current situation of distributed file processing in subway MLC system; secondly, the relevant technical theories are summarized, the Bayesian Network (BN) theoretical model and DFS are explored, and the principles of four DFS are comparatively analyzed; thirdly, the architecture and cluster mode of GlusterFS is expounded, and then based on GlusterFS, the architecture of subway AFCS is discussed. This paper presents several innovation points: first, the subway AFCS is designed based on GlusterFS by analyzing and aiming at the functional requirements, performance requirements, and safety requirements of the MLC subway system; second, the safety risk analysis (SRA) of AFCS is conducted from six security requirements, and a Web scanning system is designed to ensure the system data security. Finally, the design scheme is used to analyze the subway passenger flow and power consumption. The results demonstrate that the design scheme can competently adapt to three different application scenarios. Through comparison of two deployment modes of the Web scanning system, the data security Web scanning system can ensure the safe operation of the AFCS. Furthermore, the statistical analysis of subway passenger flow and power supply data shows that the proposed scheme can support the smooth operation of the subway system, which has significant practical value.

THE EFFECTIVENESS OF ONLINE TICKET MANAGEMENT BY VOLUNTEER IN GREBEG SURO 2018 AND REYOG PONOROGO NATIONAL FESTIVAL XXV

Reyog Ponorogo National Festival (FNRP) is a national-level tourism agenda that is annually held in Ponorogo Regency, within the past 30 years, the Festival has begun to be improved in the right direction, deficiencies that have emerged, was tried to inventory and then improved, right at the holding of the Reyog Ponorogo National Festival (FNRP) in 2018 the committee developed a Voluntary Volunteer idea where volunteers were tasked with helping the agenda run smoothly, one of which was managing online ticket sales. This research used descriptive qualitative type, with the model of determining informants using purposive sampling, and data validity testing through triangulation. Online ticket management by Volunteer Grebeg Suro in organizing Grebeg Suro 2018 and the Reyog Ponorogo National Festival XXV could be concluded as effectively way. This was proofen from the respondents' assessment of the results of interviews that had all been expressed positive attitudes. Online tickets for Grebeg Suro and Reyog Ponorogo National Festival were considered to be very effective in organizing Grebeg Suro and Reyog Ponorogo National Festival events. Some assessment indicators were based on the time spent, the convenience provided, and the education provided to the community.

AI-Driven Managed Services: Automating Tier 1 to Tier 3 Operations for Scalable Customer Support

The increasing complexity of IT services and the demand for faster issue resolution have accelerated the adoption of AI in managed services. This paper explores the deployment of AI-driven managed services to automate Tier 1 to Tier 3 operations, focusing on scalable customer support models. The research discusses the role of AI in predictive issue detection, natural language processing (NLP) for chatbot-based assistance, and automated ticket management. It also presents real-world examples where AI-enabled systems have reduced downtime, improved service levels, and optimized operational costs. The paper concludes with recommendations for implementing AI-driven managed services, including governance models, training frameworks, and best practices for aligning AI initiatives with business outcomes.