DOI: https://doi.org/10.14710/ijpd.9.2.66-75

Spatial Regression Analysis of Crime Occurrence in DKI Jakarta: Analysis of 2021 Potensi Desa Microdata

*Nadia Imansari  -  Department of Urban Studies, School of Strategic and Global Studies, Universitas Indonesia, Jl. Salemba Raya No.4, Senen, Jakarta Pusat, Indonesia 10430, Indonesia
Chotib Chotib scopus  -  Department of Urban Studies, School of Strategic and Global Studies, Universitas Indonesia, Jl. Salemba Raya No.4, Senen, Jakarta Pusat, Indonesia 10430, Indonesia
Accepted: 27 Sep 2024; Published: 31 Oct 2024.
Editor(s): Prihadi Nugroho

Citation Format:
Abstract

Urban crime is a critical issue that demands attention to support the realization of urban resilience. Urban areas with complex social conditions face an elevated risk of criminal activity. Besides economic factors, other determinants such as education and urbanization significantly contribute to urban crime. In 2021, the Special Capital Region of Jakarta recorded 20,370 criminal incidents. To gain a more comprehensive understanding of urban crime, conducting spatial analysis is essential. This study aims to perform a spatial regression analysis of crime occurrences in the province in 2021 and examine the influence of contributing factors using the 2021 Potensi Desa microdata as the primary source. The analysis encompassed 261 urban villages and employed a nomothetic explanatory quantitative approach, incorporating descriptive and inferential methods through classical and spatial regression modeling. This study finds that variables such as the urban index, education, and sports activities significantly affect the occurrence of criminal acts, although no spatial influence was observed. This study provides implications for urban planning and development by emphasizing the importance of optimizing spatial planning and human development in formulating effective strategies to address urban crime challenges.

Note: This article has supplementary file(s).

Fulltext View|Download |  Plagiarism Test Result
Hasil Uji Kemiripan (Turnitin)
Subject
Type Plagiarism Test Result
  Download (683KB)    Indexing metadata
 Proofread Result
Hasil Proofread
Subject
Type Proofread Result
  Download (772KB)    Indexing metadata
 Research Instrument
Copyright Transfer Agreement
Subject
Type Research Instrument
  Download (118KB)    Indexing metadata
Email colleagues
Keywords: Potensi Desa 2021; spatial regression; urban crime; urban resilience

Article Metrics:

Article Info
Section: Articles
Language : EN
  1. Ahmed, B., Abdullah, U., & Akhtar, S. (2019). The Relationship between Education and Crime Analysis (1991-2016): A Case Study of Pakistan. International Journal of Humanities, Arts and Social Sciences, 5(5), 171–182. doi: 10.20469/ijhss.5.20001-5
  2. Ariyanto, S. T. W., Tjalla, A., & Mahdiyah, M. (2023). Analisis Pengaruh Meningkatnya Jumlah Kemiskinan di Jakarta Dalam 20 Tahun Terakhir Terhadap Jumlah Kriminalitas di Wilayah Hukum Polda Metro Jaya. Jurnal Litbang Polri, 26(2), 50–55. doi: 10.46976/litbangpolri.v26i2.200
  3. Atkinson, R., & Millington, G. (2019). Urban Criminology: The City, Disorder, Harm, and Social Control. Routledge
  4. Babbie, E. (2016). The Practice of Social Research. Teaching Sociology (Fourteenth, Vol. 22). Boston: Cengage Learning. doi: 10.2307/1318620
  5. Badan Pusat Statistik. (2021). Gini Ratio Menurut Provinsi dan Daerah, 2021. Retrieved from https://www.bps.go.id/id/statistics-table/2/OTgjMg==/gini-rasio--maret-2023.html
  6. Badan Pusat Statistik. (2010). Tren/Pola Migrasi dari Berbagai Sensus dan Survei. Jakarta
  7. Badan Pusat Statistik. (2012). Statistik Migrasi DKI Jakarta. Jakarta
  8. Badan Pusat Statistik. (2021). Hasil Sensus Penduduk 2020. Badan Pusat Statistik. Retrieved from https://www.bps.go.id/pressrelease/2021/01/21/1854/hasil-sensus-penduduk-2020.html
  9. Badan Pusat Statistik. (2024). Pedoman Pencacah Podes 2024. Jakarta
  10. Badan Pusat Statistik Provinsi DKI Jakarta. (2020). Indeks Potensi Kerawanan Sosial (IPKS) Provinsi DKI Jakarta
  11. Badan Pusat Statistik Provinsi DKI Jakarta. (2021). Statistik Kriminalitas DKI Jakarta Tahun 2021. Jakarta
  12. Badan Pusat Statistik Provinsi DKI Jakarta. (2023). Statistik Migrasi DKI Jakarta Hasil Long Form Sensus Penduduk 2020. Jakarta
  13. Cameron, M., & MacDougall, C. (2000). Crime prevention through sports and physical activity. doi: 10.5937/zrpfni1569133d
  14. Chatterjee, S., & Hadi, A. S. (2012). Regression Analysis By Example. New Jersey: John Wiley & Sons, Inc
  15. Chen, Y., Huang, Y., Luna-Reyes, L. F., & Li, K. (2019). Dimensions and measurement of city resilience in theory and in practice. ACM International Conference Proceeding Series, Part F1481, 270–280. doi: 10.1145/3326365.3326401
  16. Chi, G., & Zhu, J. (2008). Spatial regression models for demographic analysis. Population Research and Policy Review, 27(1), 17–42. doi: 10.1007/s11113-007-9051-8
  17. Chiodi, S. I. (2016). Crime prevention through urban design and planning in the smart city era: The challenge of disseminating CP-UDP in Italy: learning from Europe. Journal of Place Management and Development, 9(2), 137–152. doi: 10.1108/JPMD-09-2015-0037
  18. Cueva, D., & Cabrera-Barona, P. (2024). Spatial, Temporal, and Explanatory Analyses of Urban Crime. Social Indicators Research, 174(2), 611–629. doi: 10.1007/s11205-024-03408-6
  19. Datola, G. (2023). Implementing urban resilience in urban planning: A comprehensive framework for urban resilience evaluation. Sustainable Cities and Society, 98(February), 104821. doi: 10.1016/j.scs.2023.104821
  20. Dinas Kependudukan dan Pencatatan Sipil Provinsi DKI Jakarta. (n.d.). Jumlah Penduduk Berdasarkan Data Kependudukan Bersih (DKB) Semester 2 Tahun 2023. Retrieved from https://kependudukancapil.jakarta.go.id/
  21. Dinas Kependudukan dan Pencatatan Sipil Provinsi DKI Jakarta. (n.d.). Profil Perkembangan Kependudukan DKI Jakarta. Retrieved from https://kependudukancapil.jakarta.go.id/profile_perkembangan_adminduk/
  22. Glaser, S., Jung, R. C., & Schweikert, K. (2022). Spatial panel count data: modeling and forecasting of urban crimes. Journal of Spatial Econometrics, 3(1). https://doi.org/10.1007/s43071-021-00019-y
  23. Hamdan, O. F. (2019). Rasio Tenaga Pendidik, Rasio Tenaga Kesehatan, dan Capaian Pembangunan Manusia di Indonesia dalam Analisis Spasial. Universitas Indonesia. https://doi.org/10.24815/ekapi.v6i2.15346
  24. Ismail, D. S. (2018). Analisis Faktor Sosial dan Ekonomi yang Mempengaruhi Tingkat Kriminalitas di Provinsi DKI Jakarta. Universitas Indonesia
  25. Jeong, K.-S., Jeong, T.-H., Jae-Hee, M., & Heo, S.-Y. (2009). Analysis of Spatio-temporal Pattern of Urban Crime and Its Influencing Factors, 25, 12–25
  26. Jugl, I., Bender, D., & Lösel, F. (2023). Do Sports Programs Prevent Crime and Reduce Reoffending? A Systematic Review and Meta-Analysis on the Effectiveness of Sports Programs. Journal of Quantitative Criminology (Vol. 39). Springer US. doi: 10.1007/s10940-021-09536-3
  27. Kamalipour, H., Faizi, M., & Memarian, G. (2014). Safe Place by Design: Urban Crime in Relation to Spatiality and Sociality. Current Urban Studies, 02(02), 152–162. doi: 10.4236/cus.2014.22015
  28. Kurniawan, R., & Yuniarto, B. (2016). Analisis Regresi: Dasar dan Penerapannya dengan R. Jakarta: Kencana
  29. McGill, R. (2020). Urban resilience – An urban management perspective. Journal of Urban Management, 9(3), 372–381. doi: 10.1016/j.jum.2020.04.004
  30. Munajat, A. A., & Yusuf, H. (2024). Dinamika Kriminalitas Urban: Studi Tentang Faktor-Faktor Yang Mempengaruhi Tingkat Kejahatan Di Kota Besar Dynamics of Urban Criminality: a Study of the Factors Affecting Crime Rates in Large Cities, 1330–1339. Retrieved from https://jicnusantara.com/index.php/jicn
  31. Putra, A. D., Martha, G. S., Fikram, M., & Yuhan, R. J. (2020). Faktor-Faktor yang Memengaruhi Tingkat Kriminalitas di Indonesia Tahun 2018. Indonesian Journal of Applied Statistics, 3(2), 123. doi: 10.13057/ijas.v3i2.41917
  32. Qu, J., Liu, D., Wu, Y., Zhao, J., Fan, Y., & Liu, W. (2023). Hukou, Migration, Strain, and Crime: A Case of Incarcerated Population in China. Crime and Delinquency, (8). doi: 10.1177/00111287231153807
  33. Rosantiningsih, I., & Chotib, C. (2023). Spatial Analysis of Fire Occurrence in Jakarta, Indonesia. Proceedings of The International Conference on Data Science and Official Statistics, 2023(1), 403–416. doi: 10.34123/icdsos.v2023i1.275
  34. Sukartini, N. M., Auwalin, I., & Rumayya, R. (2021). The impact of urban green spaces on the probability of urban crime in Indonesia. Development Studies Research, 8(1), 161–169. doi: 10.1080/21665095.2021.1950019
  35. Tarigan, W. S. (2021). Analisis Regresi Spasial pada Indeks Pembangunan Manusia di Provinsi Sumatera Utara Tahun 2020. Seminar Nasional Official Statistics, 2021(1), 403–408. doi: 10.34123/semnasoffstat.v2021i1.896
  36. UN-Habitat. (2017). Trends in urban resilience. UN Habitat. doi: 10.1007/978-3-319-39812-9.IssueOctober2017
  37. Yu, J., Hu, W., & Hou, L. (2024). Towards more resilient cities-analyzing the impact of new-type urbanization on urban resilience : Considering spatial spillover boundaries, 114(March)

Last update:

No citation recorded.

Last update:

No citation recorded.