Norashikin Fauzi

Universiti Malaysia Kelantan

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Co-Authors

Noor Syuhadah Subki

Universiti Malaysia Kelantan

Kamarul Hambali

Universiti Malaysia Kelantan

Razak Wahab

University of Technology Sarawak

Siti Aisyah Nawawi

Universiti Malaysia Kelantan

Nurain Saipolbahri

Universiti Malaysia Kelantan

Mohamad Faiz Mohd Amin

Petronas (Malaysia)

Dony Adriansyah Nazaruddin

Universiti Malaysia Terengganu

Musfiroh Jani

Universiti Malaysia Kelantan

Amal Najihah Muhamad Nor

Universiti Malaysia Kelantan

Aainaa Amir

Universiti Malaysia Kelantan

Cooperative Institutions

Universiti Malaysia Kelantan

University of the Philippines Los Baños

International Union for Conservation of Nature

Forest Research Institute Malaysia

National University of Malaysia

Universiti Sains Malaysia

University of Technology Sarawak

De La Salle University

Institut des Sciences Biologiques

Museo de Historia Natural

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Processing and Properties of Oil Palm Fronds Composite Boards from Elaeis guineensis

IntechOpen eBooks (2021)

Razak Wahab Mohd Sukhairi Mat Rasat Norashikin Fauzi Mohamad Saiful Sulaiman Hashim W. Samsi

Oil palm fronds are one of the biomass residues originating from oil palm plantations. It has great potential to be used as an alternative material for the composite boards industry to reduce dependency on wood-based raw materials. The fronds are obtainable all the year round and in big quantity. The oil palm fronds had been processed as compressed oil palm fronds to form such a potential composite board in this topic. A composite board from compressed oil palm fronds was produced by removing the fronds’ leaflets and epidermis. The sample was sliced longitudinally into thin layers and compressed into an identical thickness at about 2 to 3 mm. Pieces of the sample were dry using the air-dried method. They were then mixed with phenol and urea-formaldehyde of resins in the range of 12-15% and compressed again with another layer forming a composite board. Standard outlined by the International Organization for Standardization (ISO) tested for their physical and strength properties of composite board. Found that the physical and strength aspects’ properties show that the composite board possessed characteristics at par or equivalent. The composite board from compressed oil palm fronds has good prospects to be used as an alternative to wood. Thus, this characteristics can overcome the shortage in materials supply in the wood-based industry.

Frond

Elaeis guineensis

Coir

10.5772/intechopen.98222

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Citations (3)

Identification of Natural Resources and Features for Ecotourism Purposes in the Kelantan Delta Area, Malaysia

SSRN Electronic Journal (2013)

Dony Adriansyah Nazaruddin Kuvinn Armugam Razak Wahab Amal Najihah Md Nor Norashikin Fauzi

The aim of this research is to identify the natural resources and features in the Kelantan Delta area with regard to the suitability for ecotourism. This delta is famous for its mangrove forest and its natural beauty as the habitat of some natural resources. It is not only a considerable ecotourism area for people who live in Tumpat district and Kota Bharu district, where the delta is located, but also for people who living in other districts in the state of Kelantan, people from other states in Malaysia and tourists from overseas as well. Field observation was carried out in some islands of the delta to identify the natural resources and features of the area. The study clearly shows that the mangrove forest is the main attraction of the delta. Other resources and features also support the area to be promoted as an ecotourism site such as the diversity of flora and fauna, rivers, and delta environment.

Identification

Flora

Niger delta

Source

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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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Citations (2)

The discovery of a melanistic Leopard Panthera pardus delacouri (Linnaeus, 1758) (Mammalia: Carnivora: Felidae) at Bukit Kudung in Jeli, Kelantan, Peninsular Malaysia: conservation and ecotourism

Journal of Threatened Taxa (2021)

Kamarul Hambali Nor Fakhira Muhamad Fazli Aainaa Amir Norashikin Fauzi Nor Hizami Hassin

Sustainable development is development that meets the needs of the present without compromising the ability of future generations to meet their own needs. During a study near an ecotourism site, we recorded a melanistic Leopard Panthera pardus delacouri on top of Bukit Kudung in Jeli District. This finding is considered important because the Indochinese Leopard P.p. delacouri is classified as Critically Endangered in the Red List of Threatened Species by the International Union for Conservation of Nature (IUCN). We hope that this record will foster conservation efforts in the area.

Leopard

10.11609/jott.6060.13.1.17513-17516

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ENHANCING MECHANICAL PROPERTIES OF RHIZOPHORA APICULATA THROUGH ENGINEERED LAMINATED BOARDS

The Journal Agriculture and Forestry (2020)

Razak Wahab Norashikin Fauzi Nasihah Mokhtar Mohamad Saiful Sulaiman Ros Syazmini Mohd Ghani

A study in enhancing the strength properties of Rhizophora apiculata by turning the solid wood into an engineered laminated board was executed.The matured Rhizophora species was selected from peat swamp forest in Sibu, Sarawak.The trunk was segregated into three parts, namely the bottom, middle and top portion and subsequently sawn into wooden planks.The laminated boards were cut into specific thicknesses and immediately bonded with an adhesive by pressed drying.Preparation for solid and laminated boards testing samples followed the ISO and ASTM standards.Properties such as the moisture content, density, basic density, static bending (MOR and MOE) and compression were determined.The results show an improvement in properties from the solid to laminated board.The values in density, MOR, and MOE increased in the range of 2-6%, 29-42%, and 13-36%, respectively.However, the values of the moisture content, basic density, and compression, indicated a vice versa trend ranging from 1-2%, 2-6%, and 8-24%, respectively.The bottom portion was more durable and robust compared to the other portions.

10.17707/agricultforest.66.3.05

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Citations (1)

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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Citations (4)

Behaviour of Captive Ostriches (Struthio camelus) at Universiti Malaysia Kelantan, Bachok Campus, Kelantan, Malaysia

Journal of tropical resources and sustainable science/Journal of Tropical Resources and Sustainable Science (2015)

Kamarul Hambali Nadia Zakaria Norashikin Fauzi Aaina Amir

The behavioural patterns of six captive ostriches (Struthio camelus) werestudied at Universiti Malaysia Kelantan, Bachok Campus between July andSeptember 2014. The main purpose of the study was to determine thebehavioural patterns of ostriches in captivity to provide the useful informationfor better management action. The ostriches were observed daily for 11 hoursfrom 0700 hrs until 1800 hrs for 45 days by using the focal sampling technique.Six categories of behavioural patterns were observed namely resting,locomotion, ingestive, comfort, aggression and thermoregulation. The highestbehaviour observed was walking compared to other behaviours, while thelowest was running. The result of the study showed a significant difference ofbehavioural patterns of captive ostriches between different observationalperiods except for locomotion and aggression behaviours. The finding of thestudy showed that ostriches reared in captivity possessed similar behaviouralpatterns to those remaining in the wild, although some captive circumstancesimposed minor differences.

Captivity

Struthio

Captive breeding

10.47253/jtrss.v3i2.523

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Assessment of Risk Perception on Microplastics Pollution in Drinking Water Sources

IOP Conference Series Earth and Environmental Science (2022)

N A I Mahmod Nurain Saipolbahri Noor Syuhadah Subki Norashikin Fauzi

Degradation of plastic debris in the marine environment has become a global issue. Microplastics may affect the human health and aquatic life. Therefore, a survey has been conducted on higher institutional students towards the risk perception of microplastics pollution in drinking water sources to increase awareness regarding microplastic pollution. On top of that, this study aims to measure the level of risk perception and the relationship between risk perception, concern and behavioural intentions of the respondents towards microplastics pollution in drinking water sources. In this study, questionnaires are distributed through an online platform to conduct the survey involving 320 respondents. Analysis of independent t-test, ANOVA, correlation and multiple linear regression has been used to analyse the data. It shows that the factor gender does not influencing the risk perception, concern and behavioural intentions of the respondents on microplastics pollution in drinking water sources. The results show a positive correlation between each variable. However, multiple linear regression analysis shows that the behavioural intentions do not significantly affect the level of respondents’ risk perceptions.

Risk Perception

Affect

Plastic pollution

Stratified Sampling

10.1088/1755-1315/1102/1/012078

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Physical Characterization of Microplastic Pollutants in Groundwater

PaperAsia (2024)

Nurain Saipolbahri Noor Syuhadah Subki Norashikin Fauzi

The rapid urbanization and growth of the population have led to both the ever-increasing demand for water consumption and in tandem the levels of water pollution in Malaysia. Rapid development has produced great amounts of human waste including domestic and industrial which inevitably ends up in the water resources. Contamination of microplastic (MP) pollutants in groundwater has been a huge concern nowadays since groundwater often becomes a source of drinking water. Therefore, these MP (plastic particles < 5 mm) are concerned with having a negative health impact on human health through the consumption of drinking water that has been contaminated. While MPs in groundwater likely affect human health, only a handful of studies have examined the abundance and movement of MPs in groundwater. Because of that, this study was done in two different sampling stations of groundwater that were sources of drinking water. This study indicates a total of 182 microplastics were found in the sampled groundwater. Physical characterization has been done and they were divided into four categories according to their shapes. Fibers clearly prevailed in all water samples. Despite 10 different colors of the microplastics being identified, most of the MPs are comprised of transparent plastics. Moreover, polypropylene (PP) and polyethylene (PE) were found to be predominant in the water samples. This study contributes to filling the knowledge gap in the field of emerging microplastic pollution in drinking water sources specifically groundwater, which is of concern due to the potential exposure of MPs to humans.

Characterization

10.59953/paperasia.v40i5b.80

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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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