Requirement Engineering for Traffic Information Application Using GPS Based on Motivations to Contribute

This study identified the motivation to contribute traffic information based on the theory of Helping Behaviour using quantitative research methods and questionnaires as data collection method. Samples were randomly selected from 100 drivers in the city of Palembang. Data analysis was performed using Structural Equation Modelling technique with the help of SmartPLS application, indicating that the hypothesis which are variables from Helping Behaviour theory i.e. attention, evaluation and impetus to respond, will influence the motivation of someone’s contribution, all of the hypothesis are accepted with T Statistics values of 2.165, 2.883 and 2.892 respectively. From these three variables, this study do requirement engineering to proposes features for traffic information sharing applications based on user generated content, namely Need for Help, We are One, Top Contributor, Like, Share, Point and Redeem, Periodic GPS, and Privacy.