Analisis Tingkat Kecelakaan Lalu Lintas Di Klaten Dengan Menggunakan Perbandingan 3 Metode Data Mining

Nurmawati, Putri Ike and , Nurgiyatna, S.T., M.Sc., Ph.D (2018) Analisis Tingkat Kecelakaan Lalu Lintas Di Klaten Dengan Menggunakan Perbandingan 3 Metode Data Mining. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

Accidents are events involving vehicles with road users or road users intentionally or unintentionally which have resulted in loss of life and material loss, the number of accidents is increasing. Data mining is an exploration of large amounts of data capable of providing new information to a data. This research conducted data mining techniques with the aim to determine the level of traffic accidents in the City of Klaten providing information about the factors that trigger accidents to the public as a matter of consideration and supervision, especially the police as a benchmark to reduce accident rates. The methods to be used in this study include Information Gain, Gini Index, and Gain Ratio using the Age attribute, Gender, Time, Number of Vehicles, Number of Victims, Type of Road, Weather, Form of Road and Situation. The results of the conclusions from this study, obtained values of accuracy, precision, recall. The Information Gain and Gini Index method is superior with accuracy value of 70.94% rather than Gain Ratio of 69.25%, the Index Gini method is more accurate than other methods because according to the values of accuracy, precision and recall have a higher value.

Item Type:	Karya ilmiah (Skripsi)
Uncontrolled Keywords:	Data Mining, Index Gini, Information Gain, Gain Ratio, Traffic Accident
Subjects:	H Social Sciences > HN Social history and conditions. Social problems. Social reform
Divisions:	Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika
Depositing User:	PUTRI IKE NURMAWATI
Date Deposited:	13 Nov 2018 08:19
Last Modified:	13 Nov 2018 08:19
URI:	http://eprints.ums.ac.id/id/eprint/68911

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