Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic
Diah Asih Relawanti
Mercu Buana University
Computer Science & IT Decision Sciences, Operations Research & Management

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Online Booking Application for Long-Distance Train Ticket Adapted to the Covid-19 Protocol Diah Asih Relawanti; Yopi Mahangga Ujung; Rossy Yanuar Pradania; Andi Nugroho; Achmad Kodar
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 2 (2022): September 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i2.4629

Abstract

Train is favorite transportation in Indonesia. The increase in the number of passengers from year to year is proof that rail transportation supports community mobility. Therefore, services are needed to accommodate the needs of the community in ordering train tickets. Currently, the train ticket booking system can be done offline or online. Especially for the online train ticket booking system, there are still some obstacles i.e., during the Covid-19 pandemic, a train ticket booking information system is also needed which must be adjusted to health protocols to minimize the spread of Covid-19 during travel by train, starting from the ticket booking process. The system development methodology used is Scrum, this methodology is a framework that applies the stages of planning, analysis, design and implementation to build or develop software where work is divided into time frames called sprints. The long-distance train ticket booking application has been able to minimize the accumulation of passengers in exchanging tickets at the train station platform.
Co-Authors Achmad Kodar Andi Nugroho Rossy Yanuar Pradania Yopi Mahangga Ujung