Identifikasi Pola Hubungan Spasial dan Faktor Penyebab Tindak Kriminalitas Pencurian di Kota Surabaya

Saputra, Tegar Danu (2024) Identifikasi Pola Hubungan Spasial dan Faktor Penyebab Tindak Kriminalitas Pencurian di Kota Surabaya. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Tindak Kriminalitas merupakan suatu tindakan yang bertentangan dengan hukum, aturan, dan norma yang berlaku pada Masyarakat sehingga pelaku kegiatan harus diberikan hukuman. Berdasarkan kegiatan Analisa dan Evaluasi (Anev) Polrestabes Surabaya 2023, Kasus Kriminalitas Kota Surabaya pada tahun 2023 sebesar 4.292 kasus dengan penyelesaian kasus sebesar 3.389 kasus atau 78,9 persen. Tindak kriminalitas pencurian merupakan salah satu jenis kejahatan yang menjadi prioritas Polrestabes Surabaya. Jenis Kriminalitas Pencurian yang sering ditemukan di Kota Surabaya yaitu curas, curat, dan curanmor. Fenomena kriminalitas pencurian di Kota Surabaya menarik untuk diteliti mengenai pola hubungan spasial dan faktor yang beprengaruh secara spasial terhadap kriminalitas pencurian. Dalam penelitian ini akan digunakan autokorelasi spasial yaitu metode Global Moran’s I dan Local Moran’s I untuk mengidentifikasi pola hubungan spasial kriminalitas pencurian sedangkan metode Geographically Weighted Regression digunakan untuk mengindetifikasi faktor yang berpengaruh secara spasial terhadap kriminalitas pencurian. Hasil penelitian menunjukkan bahwa dari tiga jenis pencurian yaitu curas, curat, dan curanmor hanya kriminalitas curas yang memiliki pola hubungan spasial. Pola hubungan spasial di Kota Surabaya cenderung mengelompok di wilayah utara dan selatan. Wilayah Selatan memiliki pola hubungan spasial tinggi sedangkan wilayah utara memiliki pola hubungan spasial rendah. Berdasarkan hasil analisis Geographically Weighted Regression ditemukan bahwa persentase kriminalitas terselesaikan, migrasi penduduk, dan CCTV merupakan faktor paling signifikan terhadap kriminalitas curas. Hasil dari analisis menggunakan metode GWR juga menunjukkan bahwa wilayah yang berdekatan cenderung memiliki kesamaan mengenai faktor-faktor yang mempengaruhi tindak kriminalitas curas.
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Criminality is an act that is against the law, rules, and norms that apply to society so that the perpetrator of the activity must be given punishment. Based on the Analysis and Evaluation (Anev) activities of the Surabaya Police Station 2023, Surabaya City Criminality Cases in 2023 amounted to 4,292 cases with a case settlement of 3,389 cases or 78.9 percent. Theft crime is one type of crime that is prioritized by the Surabaya Police. The types of theft crimes that are often found in Surabaya City are curas, curat, and curanmor. The phenomenon of theft crime in Surabaya City is interesting to study the spatial relationship patterns and factors that affect spatially on theft crime. In this study, spatial autocorrelation will be used, namely the Global Moran's I and Local Moran's I methods to identify spatial relationship patterns of theft crime while the Geographically Weighted Regression method is used to identify factors that spatially affect theft crime. The results showed that of the three types of theft, namely curas, curat, and curanmor, only curas crime has a spatial relationship pattern. The spatial relationship pattern in Surabaya City tends to cluster in the northern and southern regions. The southern region has a high spatial relationship pattern while the northern region has a low spatial relationship pattern. Based on the results of the Geographically Weighted Regression analysis, it was found that the percentage of solved crimes, population migration, and CCTV were the most significant factors on curas crime. The results of the analysis using the GWR method also show that adjacent areas tend to have similarities regarding the factors that influence the crime of theft.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Faktor Penyebab Kriminalitas Pencurian, Kriminalitas Pencurian, Pola Hubungan Spasial,Causal Factors of Theft Crime, Spatial Relationship Pattern, Theft Crime
Subjects:	H Social Sciences > HA Statistics > HA30.6 Spatial analysis H Social Sciences > HA Statistics > HA31.3 Regression. Correlation
Divisions:	Faculty of Civil Engineering and Planning > Regional and Urban Planning > 35201-(S1) Undergraduate Thesis
Depositing User:	Tegar Danu Saputra
Date Deposited:	08 Aug 2024 08:24
Last Modified:	08 Aug 2024 08:24
URI:	http://repository.its.ac.id/id/eprint/112358

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