Adhariani, Amelia (2025) IMPLEMENTATION OF THE K-MEANS ALGORITHM FOR CLUSTERING CRIMINAL CASES IN THE DEPOK CITY AREA. S1 Undergraduate thesis, Universitas Darussalam Gontor.
![[img]](https://repo.unida.gontor.ac.id/style/images/fileicons/text.png) |
FILE TEXT (Cover)
PERPUS_COVER_Amelia Adhariani.pdf - Submitted Version License Creative Commons Attribution Non-commercial No Derivatives. Download (664kB) |
|
FILE TEXT (Abstract)
PERPUS_ABSTRAK_Amelia Adhariani.pdf - Submitted Version License Creative Commons Attribution Non-commercial No Derivatives. Download (325kB) |
|
FILE TEXT (Daftar Isi)
PERPUS_DAFTAR ISI - Amelia Adhariani.pdf - Submitted Version License Creative Commons Attribution Non-commercial No Derivatives. Download (277kB) |
|
FILE TEXT (Bab 1)
PERPUS_BAB1_Amelia Adhariani.pdf - Submitted Version License Creative Commons Attribution Non-commercial No Derivatives. Download (435kB) |
|
FILE TEXT (Bab 2)
PERPUS_BAB2_Amelia Adhariani.pdf - Submitted Version Exclusive to Registered users only License Creative Commons Attribution Non-commercial No Derivatives. Download (436kB) |
|
FILE TEXT (Bab 3)
PERPUS_BAB3_ Amelia Adhariani.pdf - Submitted Version Exclusive to Registered users only License Creative Commons Attribution Non-commercial No Derivatives. Download (458kB) |
|
FILE TEXT (Bab 4)
PERPUS_BAB4_Amelia Adhariani.pdf - Submitted Version Exclusive to Registered users only License Creative Commons Attribution Non-commercial No Derivatives. Download (544kB) |
|
FILE TEXT (Bab 5)
PERPUS_BAB5_Amelia Adhariani.pdf - Submitted Version Exclusive to Registered users only License Creative Commons Attribution Non-commercial No Derivatives. Download (255kB) |
|
FILE TEXT (Daftar Pustaka)
PEPUS_DAFTAR PUSTAKA_Amelia Adhariani.pdf - Submitted Version Exclusive to Registered users only License Creative Commons Attribution Non-commercial No Derivatives. Download (393kB) |
Abstract
Criminal acts are prohibited, strictly enforced, and subject to legal penalties in every country to ensure the protection of society. According to data from the Indonesian National Police (Polri) published on the Data Indonesia portal, a total of 288,472 criminal incidents occurred in Indonesia throughout 2023, reflecting a 4.33% increase compared to the previous year’s 276,507 cases. Notably, records from Polda Metro Jaya, which includes the city of Depok, indicate a 32% rise in crime rates in 2023 compared to 2022. The primary objective of this study is to categorise crime levels within Depok City using the K-Means clustering algorithm, based on crime report data obtained from the Metro Depok Police Resort. The classification is structured into three categories: high risk, moderate risk, and low risk. The dataset employed in this study comprises information on five major crime types, namely: aggravated assault (Anirat), aggravated theft (Curat), violent theft (Curas), motor vehicle theft (Curanmor), and extortion/threats (Peras/Anc). These crimes exhibited the highest occurrence rates across different precincts within Depok City in 2023 and were subsequently clustered using the K-Means algorithm. The research methodology follows the Cross-Industry Standard Process for Data Mining (CRISP DM), which consists of six stages: business understanding, data understanding, data preparation, modelling, evaluation, and deployment. Based on the evaluation of the clustering results, the optimal number of clusters was determined to be three, with a Silhouette Score of 0.5891 or 58,9 %.
Statistics Downloads of this Document
Loading... |
View Item |
