Scipediacontent: Scipediacontent moved page Draft Content 252958984 to Busman et al 2018a

2021-02-12T12:24:32Z

Scipediacontent moved page Draft Content 252958984 to Busman et al 2018a

Scipediacontent: Created page with " == Abstract == Traffic congestion big cities in Indonesia is unavoidable, especially in Jakarta. The increasing number of vehicle and the lack of public transportation is th..."

2021-02-12T12:24:29Z

Created page with " == Abstract == Traffic congestion big cities in Indonesia is unavoidable, especially in Jakarta. The increasing number of vehicle and the lack of public transportation is th..."

New page

== Abstract ==

Traffic congestion big cities in Indonesia is unavoidable, especially in Jakarta. The increasing number of vehicle and the lack of public transportation is the main cause of traffic congestion in Jakarta. It disturb people activities. Government already did various efforts to resolve congestion problem, however it needs high installation, maintenance cost and need time to be implemented. Peoples often complained about traffic congestion in Jakarta by posting in Twitter which called tweets. Every tweets post are saved in API Twitter and used for sentiment analysis. It analyzed emotion of the user. Based of problems we do research how to detect traffic congestion in Jakarta. Therefore, we try to makes Congestion Detection App. We design the app using UML diagrams. Congestion Detection App is connected with Hadoop, Flume, Hive and Derby. The app stream twitters data to colected by connecting with API Twitter. This app is Java-based application which can makes and view data tables. It performance searching tweets data by ID and analyze traffic condition on a certain region in Jakarta. The perform sentiment analysis to a certain tweet and display the result based on the data table. The result of research is comparing Data from Congestion Detection App with data from Google Maps. We make three valus categories which consist of three colors: green for less traffic congestion have a value of 1. Orange for medium-scale traffic congestion has value of 2 and Red for heavily traffic congestion has a value of 3. Based on three categories and value we use 4 regions for sample and comparing the values with value from Google Maps Data to get the accuracy. We got 81% average accuracy from the four samples. The result of Data from tweet sample compared with Google Maps Data. It have big detected congestion with Congestion Detection App.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_252958984-beopen155-4381-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.15575/join.v3i1.141 http://dx.doi.org/10.15575/join.v3i1.141] under the license http://creativecommons.org/licenses/by-nc-sa/4.0

* [http://join.if.uinsgd.ac.id/index.php/join/article/download/v3i11/86 http://join.if.uinsgd.ac.id/index.php/join/article/download/v3i11/86] under the license cc-by-nc-sa

* [http://join.if.uinsgd.ac.id/index.php/join/article/download/v3i11/86 http://join.if.uinsgd.ac.id/index.php/join/article/download/v3i11/86],
: [http://join.if.uinsgd.ac.id/index.php/join/article/view/v3i11 http://join.if.uinsgd.ac.id/index.php/join/article/view/v3i11],
: [http://repository.uinjkt.ac.id/dspace/handle/123456789/47233 http://repository.uinjkt.ac.id/dspace/handle/123456789/47233],
: [http://repository.uinjkt.ac.id/dspace/bitstream/123456789/47233/1/141-583-1-PB.pdf http://repository.uinjkt.ac.id/dspace/bitstream/123456789/47233/1/141-583-1-PB.pdf],
: [https://academic.microsoft.com/#/detail/2884500251 https://academic.microsoft.com/#/detail/2884500251]

* [http://join.if.uinsgd.ac.id/index.php/join/article/view/141 http://join.if.uinsgd.ac.id/index.php/join/article/view/141],
: [https://doaj.org/toc/2528-1682 https://doaj.org/toc/2528-1682],
: [https://doaj.org/toc/2527-9165 https://doaj.org/toc/2527-9165]

* [http://join.if.uinsgd.ac.id/index.php/join/article/viewFile/141/86 http://join.if.uinsgd.ac.id/index.php/join/article/viewFile/141/86],
: [http://dx.doi.org/10.15575/join.v3i1.141 http://dx.doi.org/10.15575/join.v3i1.141] under the license http://creativecommons.org/licenses/by-nc-sa/4.0

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Busman et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 252958984 to Busman et al 2018a

Scipediacontent: Created page with " == Abstract == Traffic congestion big cities in Indonesia is unavoidable, especially in Jakarta. The increasing number of vehicle and the lack of public transportation is th..."