Setiawan, Johan and Sudecanto, Sudecanto (2019) Visualization of Road Accident Data In Jabodetabek Area Year 2014-2017. In: International Conference on Information System, Computer Science and Engineering 26–27, November 2018, Palembang, Indonesia.
Full text not available from this repository.Abstract
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).
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods 300 Social Sciences > 360 Social problems and social services > 364 Criminology, Criminals, Corruption, Abuse, Robbery, Murder |
| Divisions: | Faculty of Engineering & Informatics > Information System |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 25 Nov 2021 07:46 |
| Last Modified: | 29 Jun 2022 03:11 |
| URI: | https://kc.umn.ac.id/id/eprint/19283 |
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