Siti Aisyah Nawawi

Universiti Malaysia Kelantan

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Amal Najihah Muhamad Nor

Universiti Malaysia Kelantan

Nur Hairunnisa Rafaai

National University of Malaysia

Rohazaini Muhammad Jamil

Universiti Malaysia Kelantan

Muhamad Azahar Abas

Universiti Malaysia Kelantan

Kamarul Hambali

Universiti Malaysia Kelantan

Norfadhilah Ibrahim

Universiti Malaysia Kelantan

Norashikin Fauzi

Universiti Malaysia Kelantan

Hasifah Abdul Aziz

Universiti Malaysia Kelantan

Mohd Sukhairi Mat Rasat

Universiti Malaysia Kelantan

Nor Hizami Hassin

Universiti Malaysia Terengganu

Cooperative Institutions

Universiti Malaysia Kelantan

Universiti Sains Malaysia

Universiti Teknologi MARA

National University of Malaysia

Cranfield University

Universiti Teknologi MARA System

Hospital Universiti Sains Malaysia

International Islamic University Malaysia

University of Technology Malaysia

Universiti Putra Malaysia

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Spatial distribution of poverty in Kelantan

AIP conference proceedings (2022)

Siti Sarah Harith Siti Aisyah Nawawi Amal Najihah Muhamad Nor Norfadhilah Ibrahim Rohazaini Muhammad Jamil

10.1063/5.0079087

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Relative Risk for Poverty in Kelantan –A Bayesian Approach

IOP Conference Series Earth and Environmental Science (2020)

Siti Aisyah Nawawi Ibrahim Busu Norashikin Fauzi Mohamad Faiz Mohd Amin Nik Raihan Nik Yusof

Abstract Poverty eradication among poor household head becomes a significant concern. Previous research employed the traditional statistical method to model the poverty data. However, these traditional statistical methods do not consider the spatial elements of poverty data. This study compares the performance of Poisson log-linear Leroux Conditional Autoregressive (CAR) model with difference neighbourhood matrices. A Poisson Log-Linear Leroux Conditional Autoregressive model with different neighbourhood matrices was fitted to the poverty data for 66 districts in Kelantan for 2010. The results show that the performance of the model with the contiguity matrix was nearly similar to the Delaunay triangulation neighbourhood matrix in estimate poverty risk. The variables that are significantly associated with the poverty in Kelantan are the number of non-education, number of female household head and the average age of the household head.

Neighbourhood (mathematics)

Contiguity

10.1088/1755-1315/549/1/012079

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Determinants of Poverty: A Spatial Analysis.

Journal of tropical resources and sustainable science/Journal of Tropical Resources and Sustainable Science (2019)

Siti Aisyah Nawawi Ibrahim Busu Norashikin Fauzi Mohamad Faiz Mohd Amin

Eradicating poverty has become the main concern for Malaysian government since independence. Recognising the incidence of poverty through standard statistical data tables alone is no longer adequate. This study examines socio-demographic effects on poverty and measures spatial patterns in poverty risk looking for high risk of areas. The poverty data were counts of the numbers of poverty cases occurring in every ten districts of Kelantan. To model these data, a spatial autocorrelation was detected prior to a Poisson Log Linear Leroux Conditional Autoregressive was fitted to the data. The result shows the variables household members, number of non-education of household head and log number of female household head significantly associated with the number of poor households. Tumpat was found as the highest risk area of poverty.

Log-linear model

10.47253/jtrss.v7i2.514

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Comparison of common air pollutants, meteorological parameters, and cardio-respiratory hospitalization between urbanized areas in Kelantan

IOP Conference Series Earth and Environmental Science (2022)

Nurul Najwa Mat Sahar Siti Hajar Ya’acob Norrimi Rosaida Awang Wong Hie Ling Siti Aisyah Nawawi

A high concentration of air pollution is relational to meteorological conditions and the consequences can lead to health problems which are cardiovascular and respiratory-related diseases. This study aimed to compare air pollution, meteorological reading, and hospitalization in urbanized areas in Kelantan. The secondary data for this study were obtained from DOE and MOH for descriptive and trend analysis from the year 2000 until 2015 at three different locations: Tanah Merah, Pengkalan Chepa, and Kota Bharu Kelantan. The mean concentration for SO2, O3, CO, NO2, and PM10 were 0.001 ± 0.001 μg/m3, 0.014 ± 0.004 μg/m3, 0.657 ± 0.145 mg/m3, 0.007 ± 0.002 μg/m3 and 45.195 ± 11.229 μg/m3 respectively. Overall, the concentration of all the criteria air pollutants was lower than the MAAQS except for PM10. The trend analysis shows the concentration of air pollutants, and the meteorological parameter were fluctuating and influenced by the monsoon. High wind speed and temperature were observed during the NE and SW monsoon, respectively. Tanah Merah showed a higher concentration of PM10 compared to the other two locations. In contrast, Kota Bharu and Pengkalan Chepa has higher gasses concentration than Tanah Merah. The gasses result in consistent with cardio and respiratory-related hospitalization which showed higher hospitalization recorded in Kota Bharu than Tanah Merah. In conclusion, the urbanized areas have different dominant air pollutants due to the potential major sources that exist differently.

10.1088/1755-1315/1102/1/012076

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Spatial Identification of the Flood-Prone Area in Jeli, Kelantan

BIO Web of Conferences (2024)

Amal Najihah Muhamad Nor Amin A. Mohammad Siti Aisyah Nawawi R M Jamil Muhamad Azahar Abas

Flooding is a serious environmental threat with no quantitative assessment of its consequences. It is necessary to understand which places are at risk of flooding to implement flood mitigation strategies. However, landscape factors are still lacking in the development of a flood-prone area map. This study aims to examine the landscape structure that has the potential to cause flood events in Jeli and develop a flood-prone area map in Jeli. The study used satellite images, ground truthing technique, image classification, landscape structure analysis, and the analytic hierarchy process (AHP). The results indicate that the higher density of the built-up area, the area near the water bodies, lower elevation ground surface, and surfaces with a steep slope have a high level of flood-prone areas and are the most vulnerable to flood. 38.11 % of the land use/land cover has a high level of flood-prone area, 43.13 % for medium level, and 18.75 % for low level. The findings can contribute to the sustainable planning and management of land use for flooding mitigation strategies.

Identification

10.1051/bioconf/202413105028

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Relationship between common air pollutants with risk of cardio-respiratory hospitalization in urbanized areas in Kelantan

BIO Web of Conferences (2023)

Nurul Najwa Mat Sahar Siti Hajar Ya’acob Wong Hie Ling Siti Aisyah Nawawi Norrimi Rosaida Awang

A high concentration of air pollution can lead to health problems which are the cardiovascular and respiratory systems (WHO, 2014). A study has been conducted to know the relationship between five criteria air pollutants with hospitalization related to cardiovascular and respiratory diseases in two cities in Kelantan. The secondary data from 2000 until 2015 analyzed in the study were obtained from DOE and MOH for the air pollutants concentration and hospitalization, respectively. This study shows that the mean concentration of all pollutants in the study area is below the RMAAQS. Significant Relative Risk (RR) values were found for cardiovascular hospitalization associated with SO 2 (RR = 1.537, 95% CI = 2.970, 7.956), NO 2 (RR = 1.212, 95% CI = 1.156, 1.272), and O 3 (RR = 4.873, 95% CI = 2.768, 8.578). In contrast, significant RR for respiratory hospitalization was found to be associated with SO 2 (RR = 1.952, 95% CI = 1.013, 3.762), NO 2 (RR = 2.021, 95% CI = 6.170, 6.620), O 3 (RR = 1.128, 95% CI = 4.427, 2.874), and PM 10 (RR = 1.008, 95% CI = 1.007, 1.008). The highest value of Relative Risk is O 3 and NO 2 for hospitalization related to cardiovascular and respiratory diseases, respectively. In conclusion, the value of RR associated with air pollutants proves that air pollutants are associated with cardiovascular and respiratory-related hospitalization risk.

10.1051/bioconf/20237305027

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Compressed oil palm fronds composite: a preliminary study on mechanical properties

International Journal of Sciences (2013)

Mohd Sukhairi Mat Rasat Razak Wahab Amal Najihah Muhamad Nor Sitti Fatimah Mhd Ramle Mahani Yusoff

The mechanical properties of composites consisting of compressed oil palm fronds have been investigated. Three maturity groups at different portion were bind together using two types of formaldehyde resin which were phenol and urea. Modulus of rupture (MOR) for bending strength of the compressed oil palm fronds composite increase from young to intermediate and mature maturity group for each portion, meanwhile decrease from bottom to middle and top portion for each maturity group. Same results trend have been recorded for modulus of elasticity (MOE) for bending strength and modulus of rupture (MOR) for compression strength. Statistical analysis indicated significant differences between compressed oil palm fronds composite made from each maturity group and portion, but no differences were observed in the type of resin used.

Frond

Flexural modulus

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Bayesian spatial modeling of poverty risk in Kelantan

IOP Conference Series Earth and Environmental Science (2021)

Siti Aisyah Nawawi Norashikin Fauzi Amal Najihah Muhamad Nor Noor Akma Ibrahim Raihan Jamil

Abstract Poverty data vary in rural areas, in certain states or regions, and some urban areas. These areal data tends to have spatial autocorrelation. A Bayesian hierarchical model is commonly used to estimates the risks using a combination of available covariate data and a set of spatial random effects. These random effects are commonly modelled by conditional autoregressive (CAR) prior distributions, a type of Markov random field model. Spatial autocorrelation between the random effects, ϕ in CAR models is induced by a n × n neighbourhood matrix, W . However, many studies assumed that the W is fixed when fitting the model. Therefore, this study evaluates the performance of the Poisson-log linear Leroux Conditional Autoregressive (CAR) model with m -nearest neighbourhood weight matrices using a simulation study. This study creates simulated poverty data for 66 districts of Kelantan with different scenarios that related with random effects and covariate. A Poisson log-linear Leroux CAR model with m = 1, 5 and 10 nearest neighbours are applied to the simulated poverty data. The performance of the models is evaluated using bias, Root Mean Square of Error (RMSE) and Deviance Information Criterion (DIC). The results show that the choice of m = 1, 5 and 10 neighbourhood matrices and scenarios do not affect the bias for either the regression parameter β or the risk R k and RMSE for the risk R k . Nevertheless, there is the dissimilarity of the performance of the models in the RMSE of regression parameter β. The results suggest that the Poisson log-linear Leroux CAR model with the m = 5 nearest neighbours performed overall best for simulated poverty data. It consistently gives good results across different strength of spatial autocorrelation of random effects ϕ and covariate. The model also gives the lowest DIC in all the scenarios, indicating a better fitting model than other models. The findings of this study give guidance in choosing the suitable m -nearest neighbourhood matrices to estimate the poverty risk in Kelantan.

Akaike information criterion

Deviance information criterion

10.1088/1755-1315/842/1/012051

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A preliminary checklist of macromoths (Lepidoptera: Heterocera) of Jeli, Kelantan, Malaysia

Malayan Nature Journall (2015)

Norashikin Fauzi Kamarul Hambali F.K Ean Noor Syuhadah Subki Siti Aisyah Nawawi

Limited information is available on moth diversity in the Jeli District of Kelantan. An initial checklist of moths at three sites, namelyGunung Stong Tengah State Park, Jeli Permanent Forest Reserve andGemang within the Jeli district, Kelantan was documented. A total of 161 species was recorded and included in the list.

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Compressed Oil Palm Fronds Composite: A Preliminary Study on Mechanical Properties

SSRN Electronic Journal (2013)

Mohd Sukhairi Mat Rasat Razak Wahab Amal Najihah Muhamad Nor Sitti Fatimah Mhd Ramle Mahani Yusoff

Frond

Flexural modulus

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