Indonesia has a low Human Development Index, indicating that the country still has a long way to go in terms of improving its general quality of life and health. Furthermore, Indonesia is afflicted by a number of socioeconomic difficulties, such as overpopulation, poverty, excessive unemployment, and a deficient education system. This issue has the potential to have negative consequences for our society, such as an increase in crime rates. In the subject of criminal statistics, many indicators are commonly used to measure crime from a broader perspective as well as the level of severity. This study aims to characterize the distribution of overall crime rates among Indonesia’s provinces, with a special focus on Sumatra and Java. Statistics supplied by the Central Bureau of Statistics for the years 2010-2020 about the number of crimes recorded by regional police officers. The unsupervised learning technique is used, with K-means as the classification algorithm, to categorize objects observed in each state into groups that are related to one another. As a result, the provinces of Bengkulu, the Bangka Belitung Islands, and Banten became the lowest clusters; as a result, it is reasonable to state that these three provinces had the lowest crime rates in contrast to the other provinces in Sumatra and Java between 2010 and 2020.
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4 April 2024
THE 2ND INTERNATIONAL SEMINAR OF SCIENCE AND TECHNOLOGY
20 October 2022
South Tangerang, Indonesia
Research Article|
April 04 2024
Spatial distribution of crime in Sumatra and java using unsupervised learning algorithm Available to Purchase
Yose Indarta;
Yose Indarta
a)
1
National Police Headquarters of the Republic of Indonesia
, Jakarta, Indonesia
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Andy Hakim;
Andy Hakim
b)
2
STAIN Mandailing Natal
, Panyabungan, Indonesia
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Joli Afriany;
Joli Afriany
c)
3
Universitas Nahdlatul Ulama Sumatera Utara
, Medan, Indonesia
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Imam Ahmad;
Imam Ahmad
d)
4
Universitas Teknokrat Indonesia
, Bandar Lampung, Indonesia
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M. Mesran;
Ronal Watrianthos
Ronal Watrianthos
f)
6
Universitas Al Washliyah
, Rantauprapat, Indonesia
f)Corresponding author: [email protected]
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Yose Indarta
1,a)
Andy Hakim
2,b)
Joli Afriany
3,c)
Imam Ahmad
4,d)
M. Mesran
5,e)
Ronal Watrianthos
6,f)
1
National Police Headquarters of the Republic of Indonesia
, Jakarta, Indonesia
2
STAIN Mandailing Natal
, Panyabungan, Indonesia
3
Universitas Nahdlatul Ulama Sumatera Utara
, Medan, Indonesia
4
Universitas Teknokrat Indonesia
, Bandar Lampung, Indonesia
5
Universitas Budi Darma
, Medan, Indonesia
6
Universitas Al Washliyah
, Rantauprapat, Indonesia
f)Corresponding author: [email protected]
AIP Conf. Proc. 3048, 020050 (2024)
Citation
Yose Indarta, Andy Hakim, Joli Afriany, Imam Ahmad, M. Mesran, Ronal Watrianthos; Spatial distribution of crime in Sumatra and java using unsupervised learning algorithm. AIP Conf. Proc. 4 April 2024; 3048 (1): 020050. https://doi.org/10.1063/5.0202114
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