PENERAPAN ALGORITMA K-MEANS UNTUK KLASTERISASI TINGKAT KRIMINALITAS DI BANDAR LAMPUNG

ARTATI, YANI (2023) PENERAPAN ALGORITMA K-MEANS UNTUK KLASTERISASI TINGKAT KRIMINALITAS DI BANDAR LAMPUNG. Strata 1 thesis, Universitas Teknokrat Indonesia.

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Abstract

Abstract Crimes are acts of a negative nature. Often, these actions are detrimental to many parties and the perpetrator of his actions is referred to as a criminal. Criminality or criminal act of anything that violates the law or a crime. Crimes are currently being brought to the attention and coverage in various mass and electronic media. Criminality is a common crime problem that occurs in every city, especially in Bandar Lampung with various types of crimes with many cases occurring every year are stealing, theft and burglary, fraud and embezzlement. With the rampant criminality that occurs, resulting in losses for victims ranging from material can even cause the loss of a person's life. The purpose of this study was to determine the clustering of crime rate data using the K-Means method. It is hoped that the K-Means method can help the police to determine the level of crime in Bandar Lampung City. Based on the results of the study using 10 rows of data, an optimal k value was obtained, namely 3 with 5 low cluster members, 4 medium clusters, and 1 group member high cluster

Item Type:	Thesis (Strata 1)
Uncontrolled Keywords:	Kejahatan; Klasterisasi; Algoritma K-Means
Subjects:	SISTEM INFORMASI (S1) > Bahasa Pemrograman SISTEM INFORMASI (S1) > Bahasa Pemrograman
Divisions:	Fakultas Teknik dan Ilmu Komputer > S1 Sistem Informasi
Depositing User:	Asep Haikal Kurniawan S.IP., M.A
Date Deposited:	03 Aug 2023 05:05
Last Modified:	03 Aug 2023 05:05
URI:	http://repository.teknokrat.ac.id/id/eprint/4841

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