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Pemodelan Tindak Pidana Kriminalitas di Kota Tangerang Menggunakan Metode Regresi Lasso

ESTIMASI: Journal of Statistics and Its Application · Vol. 4 No. 1 (2023) · hlm. 64–77

DOI
10.20956/ejsa.vi.24853
ISSN
2721-379X, 2721-3803
Terbit
2023-02-14
Penerbit
Hasanuddin University
Bahasa
en

Abstrak

Criminal acts are one indicator of social welfare for a sense of security. The higher the reporting of criminal cases by the public, it indicates that the level of security in the area is getting worse. Crime acts in Tangerang City can be influenced by several factors, namely the poverty factor, the population factor and the population growth rate factor. If the rate of population growth experiences rapid growth, the population will increase and it is undeniable that poverty will increase in the city of Tangerang. This can trigger criminal acts to meet unsatisfied needs. The purpose of this study is to determine the variables that influence criminal acts in Tangerang City and to overcome the variables that occur multicollinearity. It can be concluded that all variables influence crime and the LASSO (Least Absolute Shrinkage And Selection Operator) regression can simplify the model and indirectly overcome the problem of multicollinearity in this study. So that the government can make more efforts to overcome the population and poverty problems that occur and the police to increase security in the City of Tangerang in order to create even better security and minimize crime.

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  • UIN Sunan Ampel Surabaya
  • Meteorological, Climatological, And Geophysical Agency
  • Institut Teknologi Sepuluh Nopember
  • National Taiwan University of Science and Technology
  • Organisasi berbeda
  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Yuniar FaridaUIN Sunan Ampel Surabaya3
Wika Dianita UtamiUIN Sunan Ampel Surabaya2
Hani KhaulasariUIN Sunan Ampel Surabaya2
Suyesti YusiUIN Sunan Ampel Surabaya1
Siti Nur FadilahUIN Sunan Ampel Surabaya1
Achmad Teguh WibowoUIN Sunan Ampel Surabaya1
Mayandah FarmitaUIN Sunan Ampel Surabaya1
Moh. HafiyusholehUIN Sunan Ampel Surabaya1
Yahya Vigo Tri SaputraUIN Sunan Ampel Surabaya1
Shifa Amelia RachmanUIN Sunan Ampel Surabaya1
Adhim SalamianiMeteorological, Climatological, And Geophysical Agency1
Dian Candra Rini NovitasariUIN Sunan Ampel Surabaya1
Anisa Nur AzizahInstitut Teknologi Sepuluh Nopember1
Fajar SetiawanMeteorological, Climatological, And Geophysical Agency1
Ghaluh Indah Permata SariNational Taiwan University of Science and Technology1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/ESTIMASI/oai, pertama di-harvest 2 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Pemodelan Tindak Pidana Kriminalitas di Kota Tangerang Menggunakan Metode Regresi Lasso</dc:title>
	<dc:creator xml:lang="en">Ningsih, Diah Restu</dc:creator>
	<dc:creator xml:lang="en">Intan, Putroue Keumala</dc:creator>
	<dc:creator xml:lang="en">Yuliati, Dian</dc:creator>
	<dc:subject xml:lang="en">Crime</dc:subject>
	<dc:subject xml:lang="en">criminality</dc:subject>
	<dc:subject xml:lang="en">lasso regression</dc:subject>
	<dc:description xml:lang="en">Criminal acts are one indicator of social welfare for a sense of security. The higher the reporting of criminal cases by the public, it indicates that the level of security in the area is getting worse. Crime acts in Tangerang City can be influenced by several factors, namely the poverty factor, the population factor and the population growth rate factor. If the rate of population growth experiences rapid growth, the population will increase and it is undeniable that poverty will increase in the city of Tangerang. This can trigger criminal acts to meet unsatisfied needs. The purpose of this study is to determine the variables that influence criminal acts in Tangerang City and to overcome the variables that occur multicollinearity. It can be concluded that all variables influence crime and the LASSO (Least Absolute Shrinkage And Selection Operator) regression can simplify the model and indirectly overcome the problem of multicollinearity in this study. So that the government can make more efforts to overcome the population and poverty problems that occur and the police to increase security in the City of Tangerang in order to create even better security and minimize crime.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2023-02-14</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/24853</dc:identifier>
	<dc:identifier>10.20956/ejsa.vi.24853</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 4, No. 1, Januari, 2023 : Estimasi; 64-77</dc:source>
	<dc:source>2721-379X</dc:source>
	<dc:source>2721-3803</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/24853/9334</dc:relation>
</oai_dc:dc>