Train Ticket Research Articles

Analisis Sistem Informasi Akuntansi Penerimaan dan Pengeluaran Kas pada PT. Kereta Api Indonesia (Persero) Divre I Sumatera Utara

This research aims to find out about how the accounting information system for cash receipts and disbursements at PT. Kereta Api Indonesia (Persero) Divre I North Sumatra and to find out how the process of recording the accounting information system for cash receipts and disbursements at PT. Indonesian Railways (Persero) Divre I North Sumatra. The method used in this research is a descriptive qualitative research method. The data collection techniques used were observation, interviews and documentation. The recording system used at PT. Kereta Api Indonesia (Persero) Divre I North Sumatra uses the SAP (System Application and Processing) application. The SAP system itself has many advantages, both in terms of financial reports which are automatically separated so there is no need to separate financial reports manually. Procedure for Recording PT Cash Receipts. Kereta Api Indonesia has been running well in accordance with the company's general cash receipts system. Source of cash receipts PT. KAI Head Office obtained from providing services from selling train tickets and renting fixed assets. However, there are obstacles in this procedure which have not been implemented optimally, giving rise to differences in bank accounts and in evidence of Cash Receipt Analysis due to recording errors that occurred in the PT accounting unit. KAI. PT. Cash Disbursement Recording Procedure. If seen from its implementation, Indonesian Railways is in accordance with the cash disbursement system and is running well. PT cash disbursements. KAI Head Office is used to finance the company's operational activities. However, there are obstacles that occur during the recording process, in this case not all transactions received at the accounting unit are recorded regularly/daily so that recording errors and calculation differences still occur.

Sentiment Classification of User Reviews for KAI Access Application Using Naive Bayes Method

KAI Access is a train ticket booking application that offers convenience and various features for its users. However, the app has received a low rating of 2.4 out of 5 stars on the Play Store, indicating user dissatisfaction. This study conducts a quantitative sentiment analysis of the KAI Access application based on user sentiments expressed on Twitter. Using the CRISP-DM method, data were collected from Twitter with the Tweepy tool, amassing around 4,000 tweets from June to August 2023. The data underwent a preprocessing stage to ensure the quality and accuracy of the analysis. This stage involved removing duplicate tweets, eliminating retweets, and filtering out emoticons and other non-text elements. In the modeling stage, the Multinomial Naive Bayes Classifier algorithm was employed, achieving an accuracy rate of 84.6%. The model performed better at identifying negative reviews, with a precision of 0.96, recall of 0.86, and an F1-score of 0.91. In contrast, the identification of positive reviews was less effective, with a precision of 0.41, recall of 0.75, and an F1-score of 0.53. These findings shed light on the low ratings for KAI Access, particularly in the context of user reviews. The results of this study provide further understanding regarding the low rating given to KAI Access, particularly in the context of user reviews. By using this classification system, it is hoped that developers can design more specific improvements to enhance the user experience, especially in handling positive reviews which have the potential for performance improvement.

Peran Kualitas Pelayanan dalam Meningkatkan Kepuasan Konsumen Pemesanan Tiket Kereta Api Jarak Jauh Melalui Aplikasi KAI Access Ditinjau dari Perspektif Marketing Syariah

In this modern era, all fields are required to move faster so time is considered very valuable in this era. Therefore, transportation as a tool used by humans to travel is also required to be improved so that it can be faster and more comfortable. The aim of this research is to find out whether service quality influences consumer satisfaction when ordering long-distance train tickets via the KAI Access application. The data collection method used in this research is by using a questionnaire, which is a data collection technique that is carried out by giving a set of questions or statements to consumers or users of the KAI Access application. The data analysis method in this research uses descriptive analysis, simple regression and coefficient of determination. The research results show that service quality has a significant effect on consumer satisfaction when ordering train tickets via the KAI Access application. This is known from the results of the t test where the t count of 9.017 is greater than the t table value of 1.984 or can be seen from the significant value of 0.000 < 0.05.

Pengaruh E-Service Quality dan E-Trust terhadap Continuance Intention melalui E-Satisfaction sebagai Variabel Mediasi (Studi pada Aplikasi Access By KAI)

PT Kereta Api Indonesia has developed a new application for ordering and booking train tickets from KAI Access to Access by KAI, but the ratings and reviews show very low scores. The aim of this research is to discuss and analyze the influence of e-service quality and e-trust on continuance intention through e-satisfaction as a mediating variable in the Access by KAI application. This research is quantitative in nature and uses path analysis statistics by taking a sample of 200 respondents using a non-probability sampling approach with purposive sampling. The study's findings indicate that e-satisfaction is significantly impacted by e-service quality and e-trust. Additionally, continuance intention is significantly influenced by e-service quality and e-satisfaction, but not by e-trust. In addition, e-satisfaction mediates the relationship between e-service quality and e-trust on continuance intention.

TRAINTICKET RESERVATION SYSTEM

Abstract: Th This research paper presents the design and implementation of a Train Ticket Reservation System using Java, aiming to streamline the process of booking train tickets for passengers. The system leverages object-oriented programming principles and Java technologies to provide a user-friendly interface for booking, canceling, and managing train tickets. Through a detailed description of the system architecture, database design, and user interactions, this paper demonstrates the functionality and effectiveness of the Train Ticket Reservation System in facilitating smooth and efficient ticket booking operations. Keywords- Train schedule, Seat availability, Booking, Reservation, Ticketing, Passenger information, Payment processing, Seat selection, Confirmation.

Influence Analysis the Technology Acceptance Model Approach on User Satisfaction and Repurchase on the KAI Access Application Using the SEM Method

The KAI Access application is a transportation service application from PT Kereta Api Indonesia. From a survey conducted by researchers, there is application dissatisfaction by users. This study aims to determine the effect of five TAM variables on user satisfaction and repurchase. In accordance with the research objectives, several TAM variables will be used, namely actual use, perceived ease of use, perceived usefulness, perceived risk, and perceived trust. It will also be known the effect of TAM variables on application user satisfaction, and repurchase of train tickets by application. After analyzing with SEM coherently, the results show that the actual use variable has a C.R. value of 6.095, has a positive and significant value on application user satisfaction. With a C.R. value of 7.668, the perceived usefulness variable has a significant positive value on application user satisfaction. With a C.R. value of 6.763, the perceived risk variable has a significant positive value on application user satisfaction. The perceived trust variable in the application has a C.R. value of 6.094 and has a significant positive value on application user satisfaction. With a C.R. value of 7.434, the application user satisfaction variable has a positive and significant value on the repurchase of train tickets through the application.

Usability Evaluation of Ticket Purchasing Applications, Case Study Public Railways in Indonesia

This study aims to evaluate the usability of a mobile-based application used to facilitate passengers in purchasing train tickets, the Access by KAI application. As an application widely used by the public, the usability evaluation is essential. The evaluation was conducted by measuring usability in three aspects: effectiveness, efficiency, and user satisfaction. The measurement involved 10 respondents who actively use the application. They performed the experiment at the usability laboratory. The level of effectiveness and efficiency was measured using task analysis, analyzing the final results of each respondent after performing five predetermined tasks. The results show that the effectiveness and efficiency of the application are good. However, the measurement of user satisfaction aspect using the SUS (System Usability Scale) method indicates less favorable results. This obviously results in poor user experience (UX) for users. Therefore, the practical implication of this study is the need for improvements to the application, both in the user interface (UI) and existing business processes, to enhance the user experience.

Применение принципов UI/UX-дизайна для онлайн-платформы бронирования ж/д билетов: оптимизация пользовательского опыта и безопасности

A comprehensive overview of the development process of a web service for searching train tickets. Covers the key stages of design, from user mapping and analysis to the use of basic UI/UX design. Brief conclusions and justification for the need to create a web service.

Optimization of ticket pricing for high-speed railway considering full competitive environment

The rapid development of high-speed railways (HSR) worldwide has provided a fast, convenient, safe, and comfortable mode of transportation. It is also an important public transportation tool for green travel, contributing to the reduction of carbon emissions. HSR has a strong competitive advantage in long-distance passenger transportation, but it faces significant competition from the aviation industry. Airlines attract passengers with discounted fares and differentiated pricing strategies, apart from shorter travel times. Therefore, it is necessary for railway enterprises to enhance their competitiveness through differentiated pricing methods for HSR. In this study, we focus on optimizing a long-distance origin-destination (OD) pair and creating a competitive market environment by considering all operating trains and flights for the selected OD pair. We aim to improve the realism of the study by considering passengers’ fully rational travel choice behavior. To reduce the complexity of variables, passengers are grouped based on their expected departure time and income level. A mixed integer linear programing model is developed to address the problem, aiming to minimize overall travel costs for passengers while ensuring that the income of the railway enterprise does not fall below a specified value. By setting this specific value, the maximum revenue of HSR train tickets can be obtained.

OSTOD: One-Step Task-Oriented Dialogue with activated state and retelling response

As of present, the progress of conversational AI research has been greatly propelled by large-scale pre-trained language models. In particular, task-oriented dialogue systems have gained widespread attention owing to their immense potential in helping individuals accomplish diverse objectives, such as booking hotels, making restaurant reservations, and purchasing train tickets. In the past, task-oriented dialogue systems were typically viewed as a multi-step process that included spoken language understanding, dialogue state tracking, dialogue policy learning, and natural language generation. More recently, large-scale pre-trained language models enables the development of end-to-end neural pipeline task-oriented dialogue systems, which combine multiple steps into a single model, allowing for joint optimization and preventing error propagation. However, in order to explicitly retrieve information from databases to ensure the interpretability of the system, almost all end-to-end neural pipeline methods inevitably require predicting dialogue state as an intermediate result specialized for the domain or task, which results in significant challenges for generalization. To solve the problem above, we propose One-Step Task-Oriented Dialogue (OSTOD) in this paper, which models task-oriented dialogue by synchronously generating activated states and retelling responses, where activated states refer to slot values that contribute to database access, and retelling responses are system responses that contain activated state information. Specifically, first, automatic methods are designed to build data containing activated states and retelling responses. Then, a joint generation model that synchronously predicts activated states and retelling responses in a single step is proposed for task-oriented dialogue modelling. Based on empirical results obtained from the MultiWOZ 2.0 and MultiWOZ 2.1 datasets, our OSTOD model demonstrates comparable performance to state-of-the-art baselines. Moreover, our model exhibits exceptional generalization capabilities in few-shot learning and domain transfer scenarios.

Implementation of Access by KAI Innovation in Public Service Transformation at PT KAI (Persero) Regional Division II West Sumatra

This study is based on the changes in services that PT KAI (Persero) made when KAI launched the Access application, which serves as a tool to provide customers with train ticket purchasing services. The purpose of this study is to determine how effectively the Access innovation by KAI is being used, as well as the obstacles faced in its implementation. This type of research is qualitative, and the method is descriptive. Data was collected through documentation studies and interviews. Source triangulation techniques and data analysis techniques were used to test the validity of the data; both techniques involved data preparation, inference, and reduction. The research findings show that this KAI access innovation has been quite helpful to passengers with some additional features, and this innovation has changed the service significantly. However, there are still problems with unclear seat information and applications.

Pengaruh Harga, Promosi, dan Kualitas Pelayanan terhadap Keputusan Pembelian Tiket Kereta Api Jarak Jauh Non Subsidi: Studi pada Konsumen Layanan Kereta Api di Universitas Muhammadiyah Surakarta

The purpose of this study is to ascertain whether price, promotion, and service quality have an impact on students at Muhammadiyah University in Surakarta's purchase decision to buy non-subsidized long-distance train tickets. Survey research is the method utilized in this study, which employs quantitative research. A questionnaire will be used to get information from respondents. The sampling technique used is a non-probability sampling technique. This research used a sample of 129 respondents. The data processing used in this research uses multiple linear regression analysis, t test, and F test which is processed using the SPSS version 26 application. The results of the t-test in this study showed that while promotion and service quality variables had a positive and substantial impact on purchasing decisions, price variables had no visible effect on those decisions. The study's F test findings show that the combination of price, promotion, and service quality significantly influences consumers' decision to buy.

Evaluasi Kepuasan Pengguna Aplikasi Kai Access Menggunakan Model End User Computing Satisfaction (EUCS)

In the rapidly advancing era of globalization, technology plays a pivotal role in various facets of life, offering manifold benefits. Serving as a vital component in daily tasks and responsibilities, technology has become indispensable. PT. Kereta Api Indonesia has harnessed technological advancements through the KAI Access application, providing customers the convenience of booking train tickets and accessing railway services without the need for physical queues. Despite these advantages, the KAI Access application has garnered low ratings on the Play Store. To enhance user experience and align it with expectations, it is imperative to gauge user satisfaction. This thesis seeks to ascertain the satisfaction level of KAI Access application users by employing Doll & Turkzadeh's End User Computing Satisfaction (EUCS) model, incorporating variables such as Content, Accuracy, Format, Ease of Use, and Timeliness. A sample comprising 400 respondents, specifically those who have previously utilized the KAI Access application, underwent SEM-PLS evaluation utilizing SmartPLS software. The assessment revealed that Content, Format, and Timeliness exert a significant influence on user satisfaction, whereas Accuracy and Ease of Use lack a substantial impact.

PENGARUH E-SERVICE QUALITY, HARGA, KEPERCAYAAN DAN KUALITAS INFORMASI TERHADAP KEPUTUSAN PEMBELIAN TIKET KERETA API MELALUI APLIKASI KAI ACCESS DI KABUPATEN JEMBER

This study aims to examine the effect of E-Service Quality, Price, Trust and Information Quality on the Decision to Purchase Train Tickets Through the KAI Access Application in Jember Regency. Research data obtained from distributing questionnaires with purposive sampling technique. This type of quantitative research. The samples used were ITS Mandala students, University of Jember, and Jember State Polytechnic of 111 respondents. The results of the study show that E-Service Quality partially influences the decision to purchase train tickets through KAI Access. Prices partially affect the decision to purchase train tickets through KAI Access. Trust partially influences the decision to purchase train tickets through KAI Access. The quality of information partially influences the decision to purchase train tickets through KAI Access. While the results of the calculation of simultaneous test statistics, it was concluded that E-Service Quality, Price, Trust and Information Quality simultaneously had a positive and significant effect on Purchase Decision. and the coefficient of determination (60.8%). This means (E-Service Quality, Price, Trust and Quality of Information) is able to explain the variation of the Purchase Decision of 60.8%. The remaining 39.2% is explained by other variables outside the research.

ANALYSIS OF THE APPLICATION OF ONLINE TICKET BOOKING APPLICATION ACCESS BY KAI

This study aims to analyze the impact of the implementation of online ticket booking applications on the number of train passengers based on ticket sales data. The development of technology has brought significant changes in the transportation industry, including trains, with the introduction of online ticket booking applications. The analysis method used is a non-parametric statistical test to measure the relationship between the application and the number of passengers. Train ticket sales data for several years before and after the implementation of the application were used in the analysis. The results of the analysis showed a positive relationship between the implementation of online ticket booking applications and an increase in the number of train passengers. The findings support the view that the ease of access and convenience in booking tickets through the app has encouraged more people to use rail services. Although the results of this study indicate the positive impact of implementing online ticket booking applications, there are several other factors that can affect the number of passengers, such as economic factors, promotions, and additional services offered by train operators. Therefore, this study has limitations in considering all these factors. Based on these findings, it is recommended that train operators continue to develop and improve online ticket booking applications as part of their marketing and customer service strategies. This research contributes to understanding how technology can shape consumer behavior in the transportation industry and the extent of its impact on train passenger numbers.

Analisis Pengaruh Implementasi Aplikasi KAI Access Terhadap Kepuasan Pengguna Layanan PT. Kereta Api Indonesia Di Kota Semarang

KAI access is the official application from KAI for making orders, as a means of boarding passes, train tickets. This application was created to make it easier, especially for KAI passengers, to order tickets, as a medium for finding route information and train schedules according to what train passengers need. Implementation of KAI Access is measured from four indicators including communication, resources, disposition and bureaucratic structure. Meanwhile, the level of satisfaction of PT service users. KAI is seen from 9 indicators including requirements, systems, mechanisms and procedures, costs/tariffs, product specifications, types of services, competency of implementers, behavior of implementers, handling complaints, suggestions and input, and facilities and infrastructure.The results of the research show that the cumulative score for KAI Access Implementation obtained a percentage of 84.29, which is in the high category, while the cumulative score for the level of satisfaction of PT service users. KAI obtained a percentage of 82.79, including the high category. The results of statistical calculations through the product moment correlation test obtained r_count > r_tabel (0.931 > 0.279) at a significance level of 5% with N-50, which means there is a positive influence of the implementation of KAI Access on the level of satisfaction of PT service users. KAI in Semarang City

Multifunctional Train Ticket Service Terminal: Integration of Train Ticket Trading System with ATM for Enhanced Efficiency and Convenience

Multifunctional Train Ticket Service Terminal: Integration of Train Ticket Trading System with ATM for Enhanced Efficiency and Convenience

The Effect of Customer Experience, Word of Mouth, and Price Perception on Repurchase Intention of Special Fare Train Tickets

PT. KAI (Persero) is a State-Owned Enterprise (BUMN) engaged in transportation services for transporting passengers, goods, and containers. In 2019 PT. KAI (Persero) seeks to increase the number of passengers by applying for special-fare train tickets. This study aims to determine the effect of customer experience, word of mouth, and price perception on the intention to repurchase special-fare train tickets. The population in the study were customers of special fare train tickets. The sampling technique uses a non-probability sampling method with convenience sampling techniques for as many as 112 respondents. The analysis technique used in this study is (PLS) with a validity, reality, and hypothesis test. The results of this study state that customer experience and word of mouth contribute to customer repurchase intention, while price perception does not contribute to customer repurchase intention.

Binjai Train Ticket Counter Queue Simulation Using Weibull Service Distribution

This research aims to improve the efficiency of train ticket counter services at Binjai Station through the use of Weibull service distribution-based queuing simulations. Long queues and excessive waiting times are often problems at many train stations, and this research aims to address these problems.This study collects queuing data from train ticket booths at Binjai Station over a certain period and analyzes them to identify existing queuing patterns. The Weibull service distribution was chosen as the appropriate model to describe the ticket counter service time, because this distribution has the flexibility to handle variations in service time well. Queue simulation is carried out using simulation software that models the queuing process at the train ticket counter. Weibull distribution parameters are integrated into the simulation to predict service time at the ticket counter. In this simulation, various scenarios and strategies for improving service efficiency are evaluated to identify the best alternative that can be implemented at Binjai Station. The results of this study will provide guidance to the management of the Binjai train station in making decisions regarding increasing the efficiency of ticket counter services. By optimizing service time and reducing customer waiting time, it is expected to increase customer satisfaction and operational efficiency of train stations.

REDESIGN APLIKASI KAI ACCES MENGGUNAKAN METODE DESIGN THINKING

PT Kereta Api Indonesia is a mode of transportation that presents an innovation in the form of a mobile application to support users in ordering train tickets. In this study it aims to help users of the kai access application to be more comfortable to use, and provide information about train schedules, there are problems experienced by users in using the kai access application such as there is no forward and backward seat information in premium economy class, and no ticket information sold out. In this study, the design thinking method was used as a redesign of the user interface and user experience, and usability testing as usability metrics. This study obtained the results of the Prototype redesign of the Kai Access application with an average result of SUS 82 where these results are included in grade A and can be well received by user