Visualization of Road Accident Data In Jabodetabek Area Year 2014-2017

Road accidents are a problem for all countries across the world because it causes material losses and life losses. The aim of this paper is to share findings in a road accident in visualization data in Jabodetabek area. Road accidents data obtained by doing text mining from social media Twitter using Tweepy API. Tweets taken is a tweet that has the word "accident" during the period from January 2014 to December 2017. Data is processed and labelled automatically by using a PHP program which has been created with an algorithm that reads a text pattern and finds the keyword. The keyword information then stored to a new column for desired information. Data that has been labelled in structured table form is processed with PowerBI tools. Labelled data will be processed using Power BI tools to provide visualization data output that provides detailed information about road accidents occurred in Jabodetabek during the year 2014-2017. Cars and trucks are the types of vehicle that most often has accidents, accidents are more common in the rainy season, and accidents prone time is T2 (04.00 a.m to 08.00 a.m)