Tren Jenayah Harta Benda di Malaysia: Kajian di Selangor dan Kuala Lumpur

Authors

  • Norita Jubit Centre for Spatially Integrated Digital Humanities (CSIDH), Faculty of Social Science and Humanities, Universiti Malaysia Sarawak (UNIMAS), 94300, Kota Samarahan, Kuching, Sarawak, Malaysia.
  • Mohd Sofian Redzuan Centre for Spatially Integrated Digital Humanities (CSIDH), Faculty of Social Science and Humanities, Universiti Malaysia Sarawak (UNIMAS), 94300, Kota Samarahan, Kuching, Sarawak, Malaysia.
  • Azizul Ahmad Centre for Spatially Integrated Digital Humanities (CSIDH), Faculty of Social Science and Humanities, Universiti Malaysia Sarawak (UNIMAS), 94300, Kota Samarahan, Kuching, Sarawak, Malaysia.
  • Mohamad Suhaidi Salleh Centre for Spatially Integrated Digital Humanities (CSIDH), Faculty of Social Science and Humanities, Universiti Malaysia Sarawak (UNIMAS), 94300, Kota Samarahan, Kuching, Sarawak, Malaysia.
  • Tarmiji Masron Centre for Spatially Integrated Digital Humanities (CSIDH), Faculty of Social Science and Humanities, Universiti Malaysia Sarawak (UNIMAS), 94300, Kota Samarahan, Kuching, Sarawak, Malaysia.

DOI:

https://doi.org/10.37134/geografi.vol10.2.3.2022

Keywords:

Jenayah harta benda, tren jenayah, Kuala Lumpur, Selangor

Abstract

Tren jenayah harta benda di Malaysia masih membimbangkan walaupun menunjukkan penurunan kes. Kes curi motosikal adalah penyumbang utama kepada jenayah indeks di Malaysia, diikuti lain-lain kes curi dan ketiga tertinggi adalah kes curi kereta. Justeru, Artikel ini bertujuan meneliti tren jenayah harta benda di Kuala Lumpur dan Selangor mengikut daerah dan juga balai polis bagi tempoh 2015-2020. Data diperoleh daripada PDRM Bukit Aman dalam bentuk excel. Data terdiri daripada tiga seksyen iaitu seksyen 379 Kanun keseksaan (curi), manakala seksyen 379A Kanun keseksaan (curi motosikal, kereta, lori, van dan jentera berat) serta seksyen 457 Kanun keseksaan (kes pecah rumah siang dan malam). Kes jenayah harta benda di Selangor adalah lebih tinggi berbanding di Kuala Lumpur. Daerah Petaling Jaya di bawah Kontinjen Selangor merekodkan kes tertinggi berlaku jenayah harta benda dalam tempoh 2015-2020. Selain itu daerah Sepang mencatat kes jenayah harta benda tertinggi dan Balai Polis Sentul (Kontingen Kuala Lumpur) merekodkan kes tertinggi berlaku kes jenayah harta benda. Kebanyakan kes jenayah harta benda di Selangor dan Kuala Lumpur menunjukkan penurunan pada tahun 2020 disebabkan sekatan aktiviti sosial dan Perintah Kawalan Pergerakan (PKP) yang membataskan pergerakan individu merentas sempadan berikutan Covid-19. Implikasi kajian ini dapat mendedahkan keberkesanan penguatkuasaan undang-undang sedia ada dan langkah pencegahan jenayah melalui perubahan trend. Selain itu kajian ini dapat membantu pegawai polis menentukan jumlah polis yang perlu ditempatkan dalam setiap balai.

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References

Abdullah, M. A., Sheikh Abdullah, S. N. H., & Nordin, M. J. (2018). Additional feet on the-street development method for indexed crime prevention initiative. Jurnal Pengurusan, 53, 181–193. https://doi.org/10.17576/pengurusan-2018-53-16

Adachi, H. M., & Nakaya, T. (2022). Analysis of the risk of theft from vehicle crime in Kyoto, Japan, using environmental indicators of streetscapes. Crime Science, 11(13), 2–12.https://doi.org/10.1186/s40163-022-00175-y

Aebi, M. F., Caneppele, S., Harrendorf, S., Hashimoto, Y. Z., Jehle, J.-M., Khan, T. S., Kühn, O., Lewis, C., Molnar, L., Smit, P., & Þórisdóttir, R. (2021). Key findings of the European Sourcebook of Crime and Criminal Justice Statistics 2021 (6th ed.). Series UNILCRIM(4).https://doi.org/10.17875/gup2021-1787

Ahmed, M., & Salihu, R. S. (2013). Spatiotemporal pattern of crime using geographic information system (GIS) approach in Dala L.G.A of Kano State, Nigeria. American Journal of Engineering Research, 2(3), 51–58.

Asnawi, N. H., Ahmad, P., Kuok Choy, L., & Abd Khair, M. S. A. (2018). Land use and land cover change in Kuala Lumpur using remote sensing and geographic information system approach. Journal of Built Environment, Technology and Engineering, 4, 206–216.

Berita Harian. (2020, Januari 27). Ubah tanggapan rakyat situasi jenayah negara. Retrieved from https://www.bharian.com.my/berita/nasional/2020/01/650533/ubah-tanggapan-rakyat-situasi-jenayah-negara-mcpf

Bird, M., Lacoe, J., Pickard, M., & Raphael, S. (2021). What has happened to crime rates in California over the course of the pandemic. Retrieved from http://www.clrc.ca.gov/CRPC/Pub/Panelist_Materials/PM-20210623-Raphael.pdf

Broadhurst, R., & Bacon-Shone, J. (2013). Business and the risk of crime in China. British Journal of Criminology, 2–18.

Canadian Centre for Justice and Community Safety Statistics. (2022). Police-reported crime statistics in Canada 2021. Retrieved from https://www150.statcan.gc.ca/n1/pub/85-002-x/2022001/article/00013eng.htm

Ceccato, V., & Armitage, R. (2018). Shoplifting in small stores: A qualitative case study in Perth, Western Australia. In Retail Crime (Chapter 7, pp. 155–177). https://doi.org/10.1007/978-3-319-73065-3_7

Department of Public Information, United Nations. (2017). Sustainable cities. http://www.un.org/sustainabledevelopment/cities/

Faizy, M., & Topcu, K. (2022). A place-based crime prevention through urban design: The case of Sahibata neighborhood in Konya. International Design and Art Journal, 4(1), 26–45.

Grooms, W., & Biddle, D. J. (2017). Dogs and crime: Reduced rates of property crime in homes with dogs in Milwaukee, WI. Society & Animals, 26(1), 1–20. https://doi.org/10.1163/15685306-12341465

Halford, E., Dixon, A., Farrell, G., Malleson, N., & Tilley, N. (2020). Crime andcoronavirus: Social distancing, lockdown, and the mobility elasticity of crime. Crime Science, 9(11), 2–12. https://doi.org/10.1186/s40163-020-00121-w

Herber, E. (2018). Crime prevention in Japan: Orchestration, representation and impact of a volunteering boom. International Journal of Law, Crime and Justice, 54,102–110.https://doi.org/10.1016/j.ijlcj.2018.06.005

Hoon Leh, O. L., Mohamed Musthafa, S. N. A., & Mohamed, N. (2014). Air quality and land use in urban region of Petaling Jaya, Shah Alam, Klang, Malaysia. Environment Asia, 7(1), 134–144.

Jalilian, F., Alavijeh, M. M., Changizi, M., Ahmadpanah, M., Amoei, M. R., & Mostafavi, F. (2014). Factors related to burglary from the perspective of burglars: A qualitative study. Neuro Psych Physio, 1(2), 2–6. https://doi.org/10.17795/ajnpp-24260

Jehle, J. M. (2019). Criminal justice in Germany: Facts and figures (7th ed.). Federal Ministry of Justice and Consumer Protection.

Jubit, N., Masron, T., & Jamian, M. A. H. (2022). Permodelan jenayah harta benda & kebimbangan tentang jenayah di Bandar Raya Kuching, Sarawak. Universiti Malaysia Sarawak.https://doi.org/10.17576/geo-2019-1504-03

Jubit, N., Masron, T., & Marzuki, A. (2020). Spatial pattern of residential burglary: The case study of Kuching, Sarawak. Journal of the Malaysian Institute of Planners,18(3),190–201.https://doi.org/10.21837/pm.v18i13.785

Jubit, N., Masron, T., & Marzuki, A. (2021). Application of kernel density estimation to identify motorcycle theft hot spots in Kuching, Sarawak. Journal of the Malaysian Institute of Planners, 19(5), 148–159.

Jubit, N., Masron, T., Nordin, M. N., & Chabo, D. (2019). Aplikasi GIS dalam mengenal pasti kawasan hot spot jenayah harta benda di Kuching, Sarawak. Malaysian Journal of Society and Space, 15(4), 30–49. https://doi.org/10.17576/geo-2019-1504-03

Kementerian Dalam Negeri. (2015). Pelan Strategik Kementerian Dalam Negeri 2015-2020.https://www.moha.gov.my/images/penerbitan/PELAN_STRATEGIK_KDN/PELANSTRATEGIK_KDN_2015-2020.pdf

Lofstrom, M., & Raphael, S. (2013). Public safety realignment and crime rates in California. Public Policy Institute of California. https://www.ppic.org/wp-content/uploads/content/pubs/report/R_1213MLR.pdf

Mahadi, Z., Mohamad, R. J., & Sino, H. (2017). Public development sustainability values: A case study in Sepang, Malaysia. Akademika, 87(2), 31–44. https://doi.org/10.17576/akad-2017-8702-03

Majlis Perbandaran Sepang. (2007). Pelan Korporat Majlis Perbandaran Sepang 2007–2010.https://www.mpsepang.gov.my/perundangan/

Malaysia Youth Data Bank System. (2022). Statistik unjuran populasi penduduk & penduduk belia mengikut jantina & negeri. https://ydata.iyres.gov.my/iyresbankdataV2/www/index.php?r=pub/home

Metro. (2016, Mei 7). 50% kes curi harta benda. https://www.hmetro.com.my/mutakhir/2016/05/136361/50-kes-curi-harta-benda

Moon, T.-H., Heo, S. Y., & Lee, S.-H. (2014). Ubiquitous crime prevention system (UCPS) for a safer city. Procedia Environmental Sciences, 22, 288–301. https://doi.org/10.1016/j.proenv.2014.11.028

Murray, A. T., McGuffog, I., Western, J. S., & Mullins, P. (2001). Exploratory spatial data analysis techniques for examining urban crime. The British Journal of Criminology,41(2),309–329.https://doi.org/10.1093/bjc/41.2.309

Pachica, A. O., Barsalote, D. S., Geraga, J. M. P., Ong, J. M., & Sajulan, M. D. (2017). Motorcycle theft prevention and recovery security system. International Journal of Applied Engineering Research, 12(11), 2680–2687. https://doi.org/10.1109/ecticon.2017.8096372

Payne, J. L., & Morgan, A. (2020). Property crime during the COVID-19 pandemic: A comparison of recorded offence rates and dynamic forecasts (ARIMA) for March 2020 in Queensland, Australia. SocArXiv. https://doi.org/10.31235/osf.io/de9nc

Pejabat Setiausaha Kerajaan Negeri Selangor. (2022). Statistik data terbuka kerajaan. https://www.selangor.gov.my

Polis Diraja Malaysia (PDRM). (2018). Statistik jenayah di Malaysia. https://www.data.gov.my/data/ms_MY/dataset?q=JENAYAH

SecurAmerica. (2013). Home burglary awareness and prevention. https://www.jsu.edu/police/docs/Schoolsafety.pdf

Sinar Harian. (2022, March 21). Sidang DUN: 17,992 kes kekerasan, harta benda diSelangor.https://www.sinarharian.com.my

Statista. (2020). Property crime rate in the United States in 2020. https://www.statista.com/statistics/232575/property-crime-rate-in-the-us-by-state/

Unit Perancang Ekonomi. (2021). Rancangan Malaysia Kedua Belas 2021–2025. https://rmke12.epu.gov.my/en

Xie, M. (2014). Area differences and time trends in crime reporting: Comparing New York with other metropolitan areas. Justice Quarterly, 31(1), 43–73. https://doi.org/10.1080/07418825.2012.742126

Xu, J. (2012). Drive-away policing and situational crime prevention in China: An analysis of motorcycle ban (jinmo) policy in Guangzhou. International Journal of Offender Therapy and Comparative Criminology, 56(2), 239–264. https://doi.org/10.1177/0306624x10395715

Zakaria, S., & Abdul Rahman. (2016). The mapping of spatial patterns of property crime in Malaysia: Normal mixture model approach. Journal of Business and Social Development, 4(1), 1–11.

Zhu, J., & Li, Z. (2017). Inequality and crime in China. Frontiers of Economics in China, 12(2), 309–339.

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Published

2022-12-15

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Articles

How to Cite

Jubit, N., Redzuan, M. S., Ahmad, A., Salleh, M. S., & Masron, T. (2022). Tren Jenayah Harta Benda di Malaysia: Kajian di Selangor dan Kuala Lumpur. GEOGRAFI, 10(2), 36-55. https://doi.org/10.37134/geografi.vol10.2.3.2022

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