DATA COLLECTION OF TRANSPORTATION SYSTEM USING CROWDSOURCING METHOD FROM TWITTER

• Main Author: SONYA LAMANEPA (NIM: 15412034), GIS
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/27549
• Institution: Institut Teknologi Bandung

In every planning, data and information are needed to enforce every decision that will be made. Data need to be processed into an information so that it will give decision maker a good view on what and how a system will be designed, including in transportation system planning. In the digital era nowadays, there are abundance of information exchange. Because of that, availability of data in digital word is vast. One of media that usually be used to collect data is social media. Every method of data and information gathering has its own pace and accuracy. With potential data and information from social media, there will be a new method to be used to gather them. One of that method is crowdsourcing. This new method will be able to produce information with great accuracy, faster gathering time, and can be done anywhere and anytime. Information from the stakeholders are needed in transportation system planning, one of which is the passenger itself. This research will be focused on using passive crowdsourcing, where the stakeholder will be not aware that they are giving information about the system. The conclusion of this research is that crowdsourcing can collect data from social media, but in terms of accuracy it still lacks relevant information about transportation system. <br /> <br /> <br /> <br /> <br /> Key words: social media, transportation system, crowdsourcing, data mining, big data <br />