Pembentukan Model Ruangan Kegagalan Cerun Bagi Sub-Lembangan Hulu Sungai Langat

Penambahan tekanan bagi tujuan pembangunan di Malaysia dalam tahun kebelakangan ini disebabkan oleh pertambahan populasi Increasing pressure for development in Malaysia in recent years due to rapid populatio

Gis in studying slope failure in Penang: challenges and potential

Geographic Information System (GIS) is an information system that is used to store, display, analyse and manipulate spatial data. Geographic information system (GIS) can help users to visualise, question, analyse, and interpret data to understand patterns, trends, and relationships. GISbased maps and visualizations have greatly assisted understanding of situations. In recent years, slope failure hazard assessment has played an important role in developing land utilisation planning aimed at minimizing the loss of lives and damages to property. There are various GIS-based slope failure studies that involve many approaches. These approaches can be classified into qualitative factor overlay, geotechnical process models, and statistical models. At present, not many studies have satisfactorily studied the integration of these models with GIS to map slope failure. This paper deals with several aspects of landslide by presenting a focused review of GIS-based slope failure hazard zone. The paper starts with a framework for GIS-based study of slope failure, followed by a critical review of the state-of-the-art applications of GIS and digital elevation models (DEM) for mapping and modelling landslide hazards. The paper ends with a description of an integrated system for effective landslide hazard zonation. The adoption of a GIS-based framework for knowledge discovery allows designers to identify the suitability of development within certain areas. The usage of GIS can be beneficial in various fields, including the issue of slope failure. Moreover, GIS is also beneficial to organisations of all sizes and in virtually every industry. GIS is important in understanding what is happening and forecasting future trend in a geographic space

Identification of trends, direction of distribution and spatial pattern of tuberculosis disease (2015-2017) in Penang

In Malaysia, the annual tuberculosis (TB) cases exhibit a consistent upward trend, and Penang has experienced a similar increase since 2011. This research aims to analyze the trend, distribution direction, and spatial patterns of TB in Penang from 2015 to 2017, utilizing data from 4,015 TB cases obtained from the TB/Leprosy Unit of the Penang State Department. The study employs three analytical techniques: descriptive analysis, global Moran's I, and central feature with standard deviation ellipse, which measures the trend by calculating standard distances in the X and Y directions to identify the focus and movement of tuberculosis cases. The findings indicate a higher incidence of tuberculosis in males compared to females, with the age group of 45 to 64 years having the highest number of TB patients in Penang. The aging process contributes to weakened immune systems, facilitating tuberculosis development in this age group. The spatial pattern trends for the three study years (2015 to 2017) are scattered, as revealed by the Moran index, indicating a non-dynamic and clustered pattern of TB cases in Penang.The main center of TB case distribution is identified in the George Town subdistrict, situated in the Northeast district, particularly concentrated in urban areas. Rural areas exhibit lower TB cases. The standard deviation ellipse in the north to east direction suggests a potential risk of TB spread, especially to nearby neighborhoods, in the upcoming years

Modelling landslide using GIS and RS: a case study of upper stream of Langat river basin, Malaysia

Increasing pressure for development in Malaysia in recent years due to rapid population growth and urbanization has caused numerous environmental related problems such as landslide and soil erosion. Increasing landslide event in Malaysia has caused degradation to properties, life and environment. This paper describes a study to develop landslide model by using logistic regression approach, partly to measure the significance of each causative factor that contributes to landslide. In this study causative factors are divided into physical, human activities and location. This model is based upon the model developed by a number of researchers. Landslide events in the Hulu Sungai Langat sub-basin, which is the upper stream of Langat Basin, Selangor, Malaysia were used to develop the mode

Pemetaan zon kebolehrentanan kegagalan cerun di Pulau Pinang menggunakan Rangkaian Saraf Buatan (ANN)

Pemetaan zon kebolehrentanan kegagalan cerun merupakan isu yang hangat di Malaysia. Kajian ini adalah untuk membangunkan peta kebolehrentanan kegagalan cerun di Pulau Pinang menggunakan rangkaian saraf buatan (ANN) dengan integrasi Sistem Maklumat Geografi. Kegagalan cerun berlaku adalah disebabkan faktor ruangan dan faktor bukan ruangan. Kajian ini hanya mengambilkira faktor ruangan yang mempengaruhi kegagalan cerun. Pembangunan yang tidak terkawal menyumbang pada bencana ini. Oleh itu kajian ini adalah bertujuan untuk mengenalpasti faktor ruangan yang mempengaruhi kegagalan cerun. Hasil kajian ini adalah dalam bentuk pembangunan peta kebolehrentanan kegagalan cerun bagi mengenalpasti kawasan yang berpotensi mengalami kegagalan cerun. Lapisan-lapisan peta yang digunakan adalah seperti topografi (cerun, aspek, dan kelengkungan), jenis litologi, siri tanih, saliran, jalan raya, hujan, dan lineamen digunakan bagi membentuk pangkalan data ruangan dengan menggunakan GIS. Penghasilan peta zon kebolehrentanan kegagalan cerun adalah berdasarkan pada pemberat yang terdapat dalam ANN bagi menghasilkan peta zon kebolehrentanan kegagalan cerun yang mengklasifikasikan mudah kepada empat zon iaitu sangat rendah, rendah, sederhana, dan tinggi. Hasil daripada kajian ini menunjukkan bahawa GIS yang bersama-sama dengan model ANN adalah satu pendekatan yang fleksibel dan berkemampuan untuk mengenal pasti kawasan berpotensi berlaku kegagalan cerun

Assessment of Three GPM IMERG Products for GIS-Based Tropical Flood Hazard Mapping Using Analytical Hierarchy Process

The use of satellite precipitation products can overcome the limitations of rain gauges in flood hazard mapping for mitigation purposes. Hence, this study aims to evaluate the capabilities of three global precipitation measurement (GPM) integrated multisatellite retrievals for GPM (IMERG) products in tropical flood hazard mapping in the Kelantan River Basin (KRB), Malaysia, using the GIS-based analytic hierarchy process (AHP) method. In addition to the precipitation factor, another eleven factors that contribute to flooding in the KRB were included in the AHP method. The findings demonstrated that the spatial pattern and percentage area affected by floods simulated under the IMERG-Early (IMERG-E), IMERG-Late (IMERG-L), and IMERG-Final (IMERG-F) products did not differ significantly. The receiver operating characteristics curve analysis showed that all three IMERG products performed well in generating flood hazard maps, with area under the curve values greater than 0.8. Almost all the recorded historical floods were placed in the moderate-to-very-high flood hazard areas, with only 1–2% found in the low flood hazard areas. The middle and lower parts of the KRB were identified as regions of “very high” and “high” hazard levels that require particular attention from local stakeholders

Breast, Cervical And Colorectal Cancers: A Geographical Analysis of Case Distribution and Their Relationship with Service Facilities

Pada masa kini, kanser merupakan masalah kesihatan yang utama, dan kematian yang melibatkan kanser dianggarkan akan mencecah 12 juta pada tahun 2030. Di Malaysia, Makna melaporkan lebih kurang 20,000 - 40,000 kes kanser setahun. Dalam tahun 2007, sebanyak 18219 kes baru didaftarkan melibatkan 8,123 (44.6%) lelaki dan 10,096 (55.4%) perempuan. Cancer is now a major health problem, and deaths from cancer worldwide are estimated to reach 12 million deaths in 2030. In Malaysia, the National Cancer Registry reports approximately 20,000 - 40,000 cancer cases per year. In 2007, 18,219 new cancer cases were registered involving 8,123 (44.6%) male and 10,096 (55.4%) female cancer cases respectively