SPATIAL PATTERN OF RESIDENTIAL BURGLARY. THE CASE STUDY: KUCHING, SARAWAK

Residents in Malaysia are mostly concentrated in urban areas. However, people do feel worried about residential burglary despite living in urban areas. Although burglary cases have recorded a decline, the fears of crime are still high among the people in Kuching, Sarawak. The objective of this study is to identify the spatial pattern of residential burglary in Kuching, Sarawak. This study is using Global Moran’s I method as it can evaluate the spatial autocorrelation of residential burglary in the global context. The spatial data consists of Kuching district boundary, road data, police station boundary and police sector boundary, while non-spatial data includes residential burglary from 2015-2017, time, addresses of the crime occurrences, latitude and longitude. The result revealed that the strong global spatial patterns were found for residential burglary in Kuching, Sarawak between 2015 and 2017. However, there was no global spatial pattern found for residential burglary in 2016

Spatial hotspot patterns of a home burglary in Penang

This study is based on property crime cases in the Northeast of Penang using GIS application for crime prevention. Studies based on the spatial elements showed that GIS application was able to reduce the crime issues. The purpose of this study is to identify the hotspots of home burglary based on time incident in Penang using GIS spatial statistics. Based on the report of house burglary cases from 2013 until 2015. Getis Ord Gi* was used to identify the high-risk areas of home burglary cases based on z-scores and p-values. The analysis shows that the areas of the hot spot cases of home burglary are the same for night and day incidents. In 2013, the hot spot areas at night were 7 areas, and during the day only 1 incident was identified. Hot spot increases in 2014 to 9 areas for nighttime incidents while daytime events also increased to 10 areas. While 2015 showed that the number of hot spots that occurred at night reduced to 5 areas and daytime incidents also recorded the same number of hot spots during the night incidents. Hot spot areas also frequently identified in urban areas and high population density such as Jelutong, Dato Keramat, Tanjung Tokong dan Sungai Nibong. The result showed that hotspots of home burglary are more concentrated in residential areas with good road network accessibility. This study can assist the authorities such as the Royal Malaysia Police (RPM) in preventing and reducing the crime index by using GIS applications

SPATIAL ANALYSIS OF VEHICLE THEFT IN KUCHING, SARAWAK

Vehicle thefts are raising concern among society because it contributes to the highest rate of property crime in Malaysia. GIS is an important base system that allows locating crime hot spots. The aim of the study is to determine the hot spot of vehicle theft with statically significant from 2015-2017 in Kuching, Sarawak. The spatial data for this study obtained from Kuching District Police Headquarters which include Kuching district boundary, police station boundary, and police station sector boundary. Attribute data were obtained from the police reporting system such as addresses of incidents and types of vehicle theft includes motorcycle theft, car theft and heavy machinery, truck and lorry theft. This study using Local Indicators Spatial Autocorrelation (LISA) technique. The outcome of the study revealed the location hot spots and a cold spots of vehicle theft across police station sector boundaries. Vehicle theft in Kuching, Sarawak is spatially concentrated. Hot spot of car theft mostly detected in Sungai Maong, Tabuan Jaya and Sekama police station boundaries where there are more shopping malls, hospitals, retails and restaurants whereas motorcycle theft mostly clustered in Gita police station sector boundaries, while van/lorry/bus and heavy machine theft tend to cluster in the industrial zone, which is included sector boundaries of Bintawa, Padungan and Tabuan Jaya police station. The findings of the study have a significant impact on the policing to combat vehicle theft by sector boundaries. Local Indicator Spatial Autocorrelation can help identify the risk area of vehicle theft and it is hoped that the outcome from this study can be contributed to the crime and other fields

Mengurus ruang jenayah: suatu tinjauan dasar pengurangan jenayah di Malaysia

Pelakuan jenayah merupakan antara fenomena permasalahan sosial yang melanda kebanyakan bandar di dunia. Permasalahan ini menunjukkan peningkatan dan menimbulkan reaksi kebimbangan pelbagai peringkat lapisan masyarakat sama ada di pihak pemerintah mahupun masyarakat awam. Pelbagai pendekatan dan usaha terus dijalankan dalam menanganinya, namun kadar jenayah negara masih kurang berkesan ditangani pada keseluruhannya. Artikel ini mengupas, meneliti dan mengetengahkan beberapa dasar yang telah dilakukan kerajaan Malaysia dalam mengurangkan kadar pelakuan jenayah di negara ini. Penelitian dasar difokuskan kepada penubuhan Yayasan Pencegahan Jenayah Malaysia atau Malaysia Crime Prevention Foundation (MCPF) pada 1993 dan terbentuknya Program Transformasi Kerajaan (GTP) yang berprinsipkan ‘Rakyat Didahulukan, Pencapaian Diutamakan’ dan manjadi landasan pembentukan National Key Result Area (NKRA) atau Bidang Keberhasilan Utama Negara. Hasil tinjauan menunjukkan dasar pengurangan jenayah telah berjaya dalam membendung permasalahan jenayah negara secara keseluruhannya.Dapat disimpulkan bahawa kepelbagaian pendekatan dalam usaha pengurangan masalah pelakuan jenayah di Malaysia telah meningkatkan imej Malaysia sebagai antara negara yang diiktiraf di peringkat global sebagai paling selamat dan aman

Konsep Bandar Selamat: Kronologi dan Pelaksanaan di Sabah

Pelakuan jenayah berlaku di kebanyakan bandar di dunia. Masalah ini semakin kompleks dan sukar dibendung. Konsep Bandar Selamat (KBS) atau (Safe City) diperkenalkan bagi menbendung permasalahan jenayah sekaligus meningkatkan kesejahteraan dan keselamatan penduduk bandar. Di Malaysia, pelaksanaan KBS pada tahun 2004 di bawah tanggungjawab Jabatan Perancangan Bandar dan Desa (JPBD) dengan menggariskan sebanyak 23 langkah pencegahan jenayah di peringkat awal pelaksanaannya melalui 3 strategi utama iaitu melalui (i) rekabentuk persekitaran fizikal, (ii) memperkasakan kawasan sasaran dan kegiatan sosial, kemasyarakatan, pendidikan (iii) kempen kesedaran. Namun begitu, KBS telah ditakrifkan dan distrukturkan semula pada tahun 2010. Di Sabah, KBS telah dilancarkan oleh Dewan Bandaraya Kota Kinabalu (DBKK) bersama Polis Diraja Malaysia (PDRM) dan kemudiannya diperluaskan ke daerah lain di Sabah seperti daerah Tawau dan Sandakan. Kertas kerja ini cuba mengetengahkan Bandar selamat dari aspek pentakrifan Bandar Selamat, latar belakang pengenalan dan kronologi pelaksanaanya di Malaysia juga di Sabah dengan lebih terperinci

Analisis Ruangan Jenayah Harta Benda dan Kebimbangan Jenayah di Kuching, Sarawak

Kajian ilmiah yang mengintegrasi teknologi maklumat ruangan dalam melihat hubungkait jenayah harta benda dan kebimbangan jenayah belum dijalankan di Malaysia. Kajian di luar negara kebanyakannya menggunakan analisis corak ruangan. Penggunaan analisis deskriptif tidak dapat mengesan korelasi ruangan. Kajian ini menggunakan data ruangan iaitu peta jalan, data sempadan dan sektor balai polis yang diperoleh daripada ketua-ketua balai dalam bentuk gambar dan nama jalan. Pendigitan dilakukan menggunakan ArcMap 10.1 berpandukan data jalan bagi memudahkan persempadanan dibuat dengan tepat. Data bukan ruangan termasuklah kes jenayah harta benda (2015-2017), bulan, masa, jenis-jenis, alamat kejadian dan demografi mangsa jenayah harta benda yang diambil daripada Sistem Laporan Polis. Data soal selidik diperoleh menggunakan teknik persampelan rawak berstrata. Objektif kajian adalah (i) mengenal pasti kawasan hot spot jenayah harta benda, (ii) menganalisis tahap kebimbangan jenayah harta benda di kawasan hot spot dan cold spot (iii) menganalisis korelasi ruangan jenayah harta benda dan kebimbangan jenayah. Kaedah yang digunakan adalah Getis Ord Gi*, Univariat, Ordinary least square, autokorelasi ruangan (Moran’s I) dan analisis R2. Penemuan menunjukkan kebanyakan kawasan hot spot jenayah harta benda dikesan berlaku dalam sempadan sektor Gita. Tahap kebimbangan jenayah harta benda tinggi di kawasan hot spot dan cold spot. Jenayah harta benda dan kebimbangan jenayah menunjukkan hubungan linear positif dan signifikan pada paras 95%. Kajian ini memberi satu perspektif berlainan dalam kajian jenayah di Malaysia melalui gabungan aplikasi GIS dan kajian lapangan. Kajian ini membantu polis dalam membuat keputusan bagi mencegah jenayah harta benda dan kebimbangan secara ruangan