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Publication2008 economics crisis in Malaysia: Implications on the economy, society and safety nets( 2013-06)
;Isahaque AliZulkarnain Ahmad HattaMalaysia`s experience with the 2008 financial crisis was very different from that of 1998. Notwithstanding the differences, the country was not spared of the negative setbacks. Many sectors of society felt that the impact. The impact of an economic crisis on export and industrial output deteriorated and investments declined. At the national level, income reduction could be due to lower demand for goods and services, rising unemployment, and reduced investment or remittances. Crisis also vividly affected private or public spending on education, health, and even food. The non-existence of comprehensive social safety nets (SSNs) for formal and informal sector is a cause of concern as this may exacerbate economic and social instability in times of economic shocks. This paper remains a review examining Malaysia’s setbacks caused by the 2008 crisis. The focus would be on the financial sectors and the implication the crisis had on society at large. Following the review, the paper suggested that government advance comprehensive social safety nets programs and job placements to improve the living standard of the citizens. The programs should be based on special training and education and implemented with a government- private collaboration. -
Publication2D LiDAR based reinforcement learning for Multi-Target path planning in unknown environment( 2023)
;Nasr AbdalmananGlobal path planning techniques have been widely employed in solving path planning problems, however they have been found to be unsuitable for unknown environments. Contrarily, the traditional Q-learning method, which is a common reinforcement learning approach for local path planning, is unable to complete the task for multiple targets. To address these limitations, this paper proposes a modified Q-learning method, called Vector Field Histogram based Q-learning (VFH-QL) utilized the VFH information in state space representation and reward function, based on a 2D LiDAR sensor. We compared the performance of our proposed method with the classical Q-learning method (CQL) through training experiments that were conducted in a simulated environment with a size of 400 square pixels, representing a 20-meter square map. The environment contained static obstacles and a single mobile robot. Two experiments were conducted: experiment A involved path planning for a single target, while experiment B involved path planning for multiple targets. The results of experiment A showed that VFH-QL method had 87.06% less training time and 99.98% better obstacle avoidance compared to CQL. In experiment B, VFH-QL method was found to have an average training time that was 95.69% less than that of the CQL method and 83.99% better path quality. The VFH-QL method was then evaluated using a benchmark dataset. The results indicated that the VFH-QL exhibited superior path quality, with efficiency of 94.89% and improvements of 96.91% and 96.69% over CQL and SARSA in the task of path planning for multiple targets in unknown environments. -
Publication2D-Modelling for the simulation of current-voltage characteristics in polysilicon schottky diode deposited by LPCVD and SAPCVD methods.( 2009-01)
;Nadia Benseddik ;Mohammed Amrani ;Zineb BenamaraTayeb Mohammed-BrahimThe aim of this work is to compare the quality of the Schottky contact obtained between Silver and the un-doped polysilicon layer deposited on glass substrate (Corning 1737) by using two techniques: Lower Pressure Chemical Vapor deposition LPCVD (LPCVD sample) and Sub Atmospheric Pressure Chemical Vapor Deposition SAPCVD (SAPCVD sample). A non ideal measured foward bias I-V characteristic has been observed. The elctrical parameters are evaluated such as ideality factor (4.94 and 6.46), barrier height (0.57 eV and 0.50 eV), saturation current (6.74x10ˉ³ mA and 2.14x10ˉ² mA) and series resistance (960Ω and 2300Ω), respectively on LPCVD and SAPCVD samples. Two-dimensional (2D) model of I-V characteristics taking into account the localization of traps states in the grain boundaries is developed. We are also considered the U-distribution of traps states in the band gap. A good adjustment is obtained between measurement and simulation of I-V characteristics and gives the energetic traps states distribution. The comparison of the performance of the two polysilicon layer deposition techniques has been analyzed and discussed. The experimental current curves are well fitted by this model which gives the energetic traps states distribution in the band gap. A good quality polycrystalline can be obtained using LPCVD technique but it is possible to deposit films with SAPCVD technique which it may be interesting candidate for the fabrication of solar cell. -
Publication60-year Research history of missing data: a bibliometric review on Scopus database (1960-2019)( 2020-12)
;Farah Adibah Adnanesearch on missing data was initiatedin1960and the study on this topicgrew exponentially acrossvarioussubject areas since then.Therefore, this study aims to analyze those studies, specificallyjournal articles publishedin the context of missing data.Scopus databaseand analysis tools wereutilized to retrieve all available journal articles related tomissing dataand its data. Next, due to the large number of articles foundin the Scopus database, its informationcan only be efficiently extracted and combined using Mendeley software.To further obtained insights on the extractedinformation, VOSviewer was used to obtain network visualization and overlay visualization on authors’ keywordand citation metrics was obtained using HarzingPublish or Perish software. Additionally, the growth of publication, languages used, subject area, countriesinvolved,and publication activity were also presented using bibliometric analysis. In total, 6227journal articles werefound. The recordshows thata drastic increment of research in missing data happened in 2016, with 446publications compared to 361 in 2015. Most of the articleswere affiliated with researchers in the United States and werewritten mainly in English. Mathematics, decision sciences, medicine, and computer scienceare four subject areas that have high number of articles. It is expected that thepublications on this topic will increase significantly in 2020 due to its research trend that is currently blooming in the area of medicine and thereforeleadtopotential directions for future research -
Publication"A binding contract between the dominant and the submissive”: linguistic analysis of gender bias in Fifty Shades of Grey (2015)( 2022-12)
;Papada Srithreerawichai ;Alisa Lekdam ;Yadsamin MuprasitPum ChanpomLanguage, a significant tool for communication, is implemented to express an interlocutor’s attitude. Their language choice can imply manipulation of power or discrimination between sexes, also known as sexist language. Since dialogues in movies represent real-world communication, this study aims to delve into the sexist language depicted in Fifty Shades of Grey (2015), a romantic drama film. In particular, the genre reflects the apparent discrepancy between male and female counterparts in terms of language and gender bias. The movie was then selected as the main text for the linguistic investigation of sexist language in this descriptive qualitative research. The essential framework in this research is centered extensively on Sara Mills’ theory regarding language and feminism encompassing overt sexism and indirect sexism. Overt sexism is categorized into six types including generic pronouns, generic nouns, non-parallel terms, sexism in proverbs, sexism in swear word, and derivation. On the other hand, indirect sexism is categorized into six subtypes, namely humor, presupposition, conflicting message, scripts and metaphors, collocation, and androcentric perspective. The researchers observe that characters and their attitudes render sexist ideology while their utterances convey gender-related discrimination. -
PublicationA Bio-Inspired herbal tea flavour assessment techniqueHerbal-based products are becoming a widespread production trend among manufacturers for the domestic and international markets. As the production increases to meet the market demand, it is very crucial for the manufacturer to ensure that their products have met specific criteria and fulfil the intended quality determined by the quality controller. One famous herbal-based product is herbal tea. This paper investigates bio-inspired flavour assessments in a data fusion framework involving an e-nose and e-tongue. The objectives are to attain good classification of different types and brands of herbal tea, classification of different flavour masking effects and finally classification of different concentrations of herbal tea. Two data fusion levels were employed in this research, low level data fusion and intermediate level data fusion. Four classification approaches; LDA, SVM, KNN and PNN were examined in search of the best classifier to achieve the research objectives. In order to evaluate the classifiers' performance, an error estimator based on k-fold cross validation and leave-one-out were applied. Classification based on GC-MS TIC data was also included as a comparison to the classification performance using fusion approaches. Generally, KNN outperformed the other classification techniques for the three flavour assessments in the low level data fusion and intermediate level data fusion. However, the classification results based on GC-MS TIC data are varied.
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PublicationA Biomimetic sensor for the classification of honeys of different floral origin and the detection of adulteration( 2011)
;Mohd Noor Ahmad ;Mahmad Nor Jaafar ;Supri A. Ghani ;Norazian SubariNazifah Ahmad FikriThe major compounds in honey are carbohydrates such as monosaccharides and disaccharides. The same compounds are found in cane-sugar concentrates. Unfortunately when sugar concentrate is added to honey, laboratory assessments are found to be ineffective in detecting this adulteration. Unlike tracing heavy metals in honey, sugar adulterated honey is much trickier and harder to detect, and traditionally it has been very challenging to come up with a suitable method to prove the presence of adulterants in honey products. This paper proposes a combination of array sensing and multi-modality sensor fusion that can effectively discriminate the samples not only based on the compounds present in the sample but also mimic the way humans perceive flavours and aromas. Conversely, analytical instruments are based on chemical separations which may alter the properties of the volatiles or flavours of a particular honey. The present work is focused on classifying 18 samples of different honeys, sugar syrups and adulterated samples using data fusion of electronic nose (e-nose) and electronic tongue (e-tongue) measurements. Each group of samples was evaluated separately by the e-nose and e-tongue. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were able to separately discriminate monofloral honey from sugar syrup, and polyfloral honey from sugar and adulterated samples using the e-nose and e-tongue. The e-nose was observed to give better separation compared to e-tongue assessment, particularly when LDA was applied. However, when all samples were combined in one classification analysis, neither PCA nor LDA were able to discriminate between honeys of different floral origins, sugar syrup and adulterated samples. By applying a sensor fusion technique, the classification for the 18 different samples was improved. Significant improvement was observed using PCA, while LDA not only improved the discrimination but also gave better classification. An improvement in performance was also observed using a Probabilistic Neural Network classifier when the e-nose and e-tongue data were fused. -
PublicationA biomimetic sensor for the classification of honeys of different floral origin and the detection of adulteration( 2011-08)
;Mohd Noor Ahmad ;Mahmad Nor Jaafar ;Supri A. Ghani ;Norazian Subari ;Nazifah Ahmad FikriThe major compounds in honey are carbohydrates such as monosaccharides and disaccharides. The same compounds are found in cane-sugar concentrates. Unfortunately when sugar concentrate is added to honey, laboratory assessments are found to be ineffective in detecting this adulteration. Unlike tracing heavy metals in honey, sugar adulterated honey is much trickier and harder to detect, and traditionally it has been very challenging to come up with a suitable method to prove the presence of adulterants in honey products. This paper proposes a combination of array sensing and multi-modality sensor fusion that can effectively discriminate the samples not only based on the compounds present in the sample but also mimic the way humans perceive flavours and aromas. Conversely, analytical instruments are based on chemical separations which may alter the properties of the volatiles or flavours of a particular honey. The present work is focused on classifying 18 samples of different honeys, sugar syrups and adulterated samples using data fusion of electronic nose (e-nose) and electronic tongue (e-tongue) measurements. Each group of samples was evaluated separately by the e-nose and e-tongue. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were able to separately discriminate monofloral honey from sugar syrup, and polyfloral honey from sugar and adulterated samples using the e-nose and e-tongue. The e-nose was observed to give better separation compared to e-tongue assessment, particularly when LDA was applied. However, when all samples were combined in one classification analysis, neither PCA nor LDA were able to discriminate between honeys of different floral origins, sugar syrup and adulterated samples. By applying a sensor fusion technique, the classification for the 18 different samples was improved. Significant improvement was observed using PCA, while LDA not only improved the discrimination but also gave better classification. An improvement in performance was also observed using a Probabilistic Neural Network classifier when the e-nose and e-tongue data were fused. -
PublicationA Biomimetic Sensor for the Classification of Honeys of Different Floral Origin and the Detection of Adulteration( 2011)
;Norazian Subari ;Nazifah Ahmad Fikri ;Mohd Noor Ahmad ;Mahmad Nor JaafarSupri A. GhaniThe major compounds in honey are carbohydrates such as monosaccharides and disaccharides. The same compounds are found in cane-sugar concentrates. Unfortunately when sugar concentrate is added to honey, laboratory assessments are found to be ineffective in detecting this adulteration. Unlike tracing heavy metals in honey, sugar adulterated honey is much trickier and harder to detect, and traditionally it has been very challenging to come up with a suitable method to prove the presence of adulterants in honey products. This paper proposes a combination of array sensing and multi-modality sensor fusion that can effectively discriminate the samples not only based on the compounds present in the sample but also mimic the way humans perceive flavours and aromas. Conversely, analytical instruments are based on chemical separations which may alter the properties of the volatiles or flavours of a particular honey. The present work is focused on classifying 18 samples of different honeys, sugar syrups and adulterated samples using data fusion of electronic nose (e-nose) and electronic tongue (e-tongue) measurements. Each group of samples was evaluated separately by the e-nose and e-tongue. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were able to separately discriminate monofloral honey from sugar syrup, and polyfloral honey from sugar and adulterated samples using the e-nose and e-tongue. The e-nose was observed to give better separation compared to e-tongue assessment, particularly when LDA was applied. However, when all samples were combined in one classification analysis, neither PCA nor LDA were able to discriminate between honeys of different floral origins, sugar syrup and adulterated samples. By applying a sensor fusion technique, the classification for the 18 different samples was improved. Significant improvement was observed using PCA, while LDA not only improved the discrimination but also gave better classification. An improvement in performance was also observed using a Probabilistic Neural Network classifier when the e-nose and e-tongue data were fused. -
PublicationA CAMEL model analysis of selected banks in Bangladesh( 2016-06)
;Md. Tofael Hossain MajumderMohammed Mizanur RahmanThis study attempts mainly to measure the financial performance of the fifteen (15) selected banks in Bangladesh and to identify whether any significant difference exists in the performance of the selected banks for the period 2009- 2013. CAMEL Model has been used to examine the financial strength of the selected banks. Composite Rankings, Average, and ANOVA-test by using SPSS are applied here to reach conclusion through the comparative and significant analysis of different parameters of CAMEL. It is found that under the capital adequacy ratio parameter IBBL is the top position, while IFICBL got lowest rank. Under the asset quality parameter, AIBL held the top rank while RBL held the lowest rank. Under management efficiency parameter, it is observed that top rank taken by EBL and lowest rank taken by RBL. In terms of earning quality parameter the capability of EBL got the top rank while TBL was at the lowest position. Under the liquidity parameter DBBL stood on the top position and NCCBL & BAL both are on the lowest position. By considering all of the parameters of CAMEL, it is seen that EBL is the top position assessed by the CAMEL Model compared to other banks under the study because of its strong performance on the Capital Adequacy, Asset Quality, Management and Earnings Ability. EIBBL is the second position, followed by DBBL, AIBL, IBBL and other banks respectively. On the other hand, RBL is the lowest position compared to other banks under the study because of its poor performance on the Capital Adequacy, Asset Quality, Management Efficiency and Earnings Ability. Therefore, RBL should improve the weaknesses of the mentioned ratios of the CAMEL. The ANOVA test signifies that there is a significant difference in the performance of the selected banks in Bangladesh assessed by the CAMEL model. Therefore, the policy maker of the related lowest ranking banks should take necessary steps to improve their weaknesses from the findings under the study. -
PublicationA classifying and ranking selection of healthcare tourism services( 2020-12)
;Nur Syahirah Mohd AsriThe study is conducted to classify and rankingselection ofhealthcare tourism servicesusing the integration of the Kano model and the Fuzzy Analytic Hierarchy Process (FAHP). The selection of healthcare tourism servicesis the determinant factor towards patients’ satisfaction. FAHP isone of the quality improvement methods toimprovehealth tourism. However, FAHP cannot identify the patients’ satisfaction. The Kano Model provides a way to better understandingof patients’ satisfaction through the Kano Quality Attribute categories. Thus, the integration between the Kano Model and FAHP is proposed in this study. The study firstidentifiesthe determinant factors towards patients’ satisfaction requirements in healthcare tourism services. Next, the study measured patients’ satisfaction using Kano and classified them into five groups: must-be,attractive,one-Dimensional,indifferent,andreverse. Finally, the study ranked the determinant factors towards patients’ satisfaction requirements by usingFAHPto prioritize the most important patients’ satisfaction requirements. The findings will help the healthcare decision-maker to design and improve health tourism to enhance patients’ satisfaction in healthcare tourism services based on the most important patients’ satisfaction requirement. -
PublicationA comparative study of quantum gates and classical logic gates implemented using Solid-State Double-Gate Nano-MOSFETs( 2016-07)
;Ooi Chek YeeLim Soo KingThe purpose of this paper is to compare the operations of silicon-based solid-state quantum computer with classical logic gate made of double-gate (DG) nano-MOSFETs. Quantum gates, such as quantum NOT gate, controlled-NOT (CNOT) and quantum register are studied. On the other hand, classical computer gates, such as NOT gate, NOR gate, NAND gate, XOR gate and XNOR gate are described. Silicon-based solid-state quantum computer operates well at extremely low cryogenic temperature (77K) as shown by oscillation of electron density profiles of the silicon-based nanodevices. Unitary matrix which specifies a valid quantum gate is proven in this study. The intrinsic delay of the classical NOT gate is calculated from simulation output data and the current-voltage (I-V) characteristic of the DG nano-MOSFET, which is used to construct the NOT gate, is plotted and studied. The motivation of this study is to investigate ways to implement quantum computer with silicon-based DG nano-MOSFET implanted with phosphorus donor atoms. -
PublicationA comparative study on interior acoustical comfort towards Perodua's compact car model through Monte Carlo simulation method( 2017)Khairul Azmir AzuddinSocieties nowadays spend most of their time travelling with vehicles, especially cars, and move from one place to another place. Therefore the comforts of a vehicle could provide is very important to give the feeling of pleasantness to the users of the car. Vehicle acoustic comfort is one of the important factor in order to provide driving comforts to the user when the vehicle is in use. Logically annoying noise inside the cabin car will to make the car’s user to feel less comfortable. Psychologically, an uncomfortable environment during driving session with the car will affect the user's car especially to the driver where it can be a kind of distraction during driving. If this happen, then the drivers concentration will also be affected and this could led to an unwanted incidents. This study was proposed to investigate the comfort level of noise in the car cabin. The cars used in this study are the compact cars from Perodua, the Axia, Myvi and Viva models. The objective of this study was to investigate the noise in the cabin of the car and to find the comfort noise levels between the three cars. Then, the level of acoustical comfort between the three cars were compared to find which car have the best noise comfort level between those cars. The hypothesis of this study are more the higher the cars’ engine speed, the higher the level of noise generated in the cabin of the car and the rougher the road surface, the higher the noise will be transferred into the car’s cabin. Therefore, in this study, the level of noise in the car cabin for all of the three cars are measured according to the engine speed, respectively. The noise in the cabin of the cars was recorded when the car is in two circumstances, namely when in stationary and non-stationary. In stationary state, the noise in the car were recorded while being driven through three types of roads, which are the highway, urban streets, and pavement. A coding system using LabVIEW were developed to create a system to record the sounds of the noise in the cabin of the car. The recorded noise will then be used for evaluation. The noise were assessed in to approach, objectively and subjectively. In objective evaluation, the sound quality parameter of the recorded noise were extracted by using the "B&K Sound Quality" software. These sound quality parameter will be the data and was assessed by means of regression analysis. Then an equation was published through the analysis. In subjective assessment the recorded noise were evaluated based on jury assessment. Five individuals were involved in assessing the noise. Then, data mining approach were implemented in this study to illustrate this noise data.
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PublicationA comparative study on whole body vibration (WBV) comfort towards Perodua's compact car model through Monte Carlo simulation( 2017)Mohd Zulfadzlie AbdullahThe objective of this research is to study the vibration which generate in the cabin of the car and seek for the vibration comfort level between all three cars to compare car which has a finest level of comfort between this three cars. In this study, the level of vibration in the cabin of the three car engine speed as measured by car respectively. Vibration generated during experiments in the cabin cars is recorded and stored in the form's data and the test in two circumstances, namely, state of stationary and is not stationary. When in a situation not stationary vibration resulting in the car taken during guided through three types of road namely highway, pavement and urban. A programming system developed to record the generation of vibration in the cabin of the car. Data collected that have been collected will be go through some process start with methods evaluation vibration and regression analysis. An equation will be approach through the analysis to find the significant data that can be used in the process which is K-Means algorithm. Based on the trends of the experienced and exposed vibration, the model is able to differentiate the level of comfort between the clusters by grouping the level of sound vibration into five categories which are most pleasant, medium pleasant, marginal, medium annoying and most annoying. To review the accuracy of classification data cluster, the K-Nearest Neighbor method and Linear Discriminant Analysis is used for shows the percentage accuracy of classification data have been cluster. Later, the vibration for the three cars in this study which has analyzed, compared using the approach of analysis of variance (ANOVA).
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PublicationA computational analysis of interaction between inorganic semiconductor nanowire and molecular partial charge for DNA sensor application( 2015)Abdulmohaimen W FagriThis research aimed to investigate the effects of partial charge due to DNA hybridization on the conductance of the silicon nanowire through finite element calculations. A biosensor was designed with the silicon nanowire of 15 nm radius at the core and surrounded by a silicon dioxide (2 SiO) layer of 2 nm thickness. The oxide layer was surrounded by a 5 nm thick functional bio-interface layer incorporating probe ssDNA and this whole system was immersed in an electrolyte of 80 nm radius. For the purpose of modeling and simulation, each of this layers was treated as a continuum medium characterized by the corresponding dielectric constant. In order to determine the effects of hybridization on nanowire conductance, the distribution of the electrostatic potential in the nanowire and other layers were first computed using Poisson equation with Boltzmann statistics without adding target DNA in the electrolyte layer. The conductance of the nanowire in this condition was computed by integrating the effect of the potential charge carriers within the nanowire and partial charge due to probe ssDNA. Then, the potential distribution was again calculated with the target DNA in the electrolyte and the conductance of the nanowire was re-calculated. Partial charge due to hybridization between probe and target DNAs was first computed using molecular dynamics simulation and integrated into the finite element calculation. The Finite element calculations showed that the nanowire conductance depended nonlinearly on the external charge (partial charge) of the bio-interface due to the hybridization of the target DNA with probe DNA in the functional layer.
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PublicationA conceptual kano and quality function deployment (Qfd) framework for healthcare service( 2011-02)Razli Che RazakHealthcare organization is struggling to provide customer driven quality service. The key success of healthcare service is the ability to develop a comprehensive healthcare service and deliver the best service direct to customer as required. Coherently, the measure of customer feedback should definitely show good perception of service fulfillment and satisfaction. As part of quality improvement process, an outstanding healthcare organization should practice an effective complaint management system (CMS) as the main voice of customer (VOC) source, which directly mirror the quality of healthcare service. The CMS will act as an essential decision support tool by providing seamless handling of complaints, introduces systematic improvement process, thus enabling hospitals to turn weakness into opportunities. However, Malaysian top public healthcare organizations are implicitly not really put much efforts to have a kind of proper CMS to treat complaints as critical and need immediate resolution. In other words, the VOC might not be heard in right way and account as the customer demand, expect and desire. This scenario may be the evident and reason why the present states of public Malaysian healthcare service providers are still unable to fully incorporate the customer requirement or complaint in to their strategic agendas, which account all the customer needs and expectations. This paper presents the current scenario of local public health care service with special focus to their implementation of CMS or similar system, in conjunction with healthcare constraints and VOC. Based on recent healthcare literature, an inclusive comparison is made and discussed to justify the gap of improvement in healthcare service. From findings, it is identified that complaint management practice is lacking of systematic procedure to prioritize complaints by customers. To be competitive, an alternative customer prioritizing approach mainly incorporates the Quality Function Deployment (QFD) and Kana's Model is proposed conceptually. The new mechanism concept is hope to effectively address a complaint which not only satisfies the customer but also an opportunity to create positive experience with customers, building a healthier foundation, stronger brand value and avoiding legal penalties. It also provides fair balance information for decision making while facing constraints such as operational, legal, human resource and market pressures.
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PublicationA conformity tool for Islamic social entrepreneurship: towards Muslim social entrepreneur( 2015)
;Mohd Adib Abd MuinAzizan BahariThis study focuses on the development of a conformity tool for Islamic social entrepreneurship (ISE) towards Muslim social entrepreneur (MSE). Previous literature studied on the concept of social entrepreneurship based on the Western perspective. However, none of the Islamic social entrepreneurship model is dedicated towards social entrepreneur. Therefore, the objective of this study is to develop a conformity tool to measure the percentages of social entrepreneur in Islamic social entrepreneurship. The conformity tool was validated through expert review. Findings from the expert reviews show that the majority of the experts agreed and perceived the conformity tool as bringing benefit to the social entrepreneur and entrepreneur institutions; help to give awareness; help to increase the social activities based on Islamic social entrepreneurship; and to avoid prohibited element such as riba, gharar and maisir. -
PublicationA consumer perspective of service quality in the airline industry( 2011-02)
;Muhammad Muazzem Hossain ;Noufou OuedraogoDavar RezaniaThe airline Service quality has received much attention from both academicians and practitioners. Various studies have used SERVQUAL, AIRQUAL, the Kana Model, etc. for measuring the customer service quality in the airline industry. However, a review of the airline service quality literature shows a lack of research about the use of latent semantic analysis (LSA) in uncovering the underlying factors affecting the quality of service provided by the airline companies. The purpose of this study is to explore the generic service quality characteristics pertaining to the airline industry by mining the comments provided by the passengers of various airline companies across the globe. Passengers are under no pressure to express their concerns, opinions, or suggestions for improvement of service quality. Therefore, we posit that the customers' comments are reflections of their perception of quality of service that they have already experienced. This study will help the stakeholders better understand the characteristics of service quality in the airline industry. The findings will provide managers in the airline industry with insights for managing and improving the quality of service rendered to their customers. We collected 1,069 customer comments on eleven airline companies and conducted an LSA on them to identify five factors affecting the service quality in the industry. The findings suggest that caring and friendly crews, luggage handling, in-flight meals, in-flight entertainment, and service expectation are the five critical factors of the airline service quality in the eyes of the customers. -
PublicationA Disposable sensor for assessing artocarpus heterophyllus L. (Jackfruit) maturity( 2003)
;Maxsim Sim ;Mohd Noor Ahmad ;Chang JuChang CheenThe purpose of this work was an attempt to monitor the ripeness process and to investigate the different maturity stages of jackfruit by chemometric treatment of the data obtained from the disposable sensor. Response of the sensor strip fabricated using screen- printing technology was analyzed using Principal Component Analysis (PCA) and the classification model constructed by means of Canonical Discriminant Analysis (CDA) enable unknown maturity stages of jackfruit to be identified. Results generated from the combination of the two classification principles show the capability and the performance of the sensor strip towards jackfruit analysis. -
PublicationA family of third order iterative methods for solving nonlinear equations free of second derivative( 2022-12)
;Muhammad Shakur NdayawoBabangida SaniIn this paper, we proposedand analysed a family of iterative methods for solving nonlinearproblems. The methods have been developed by applying Adomian decomposition method to Taylor’s series expansion. Using one-way ANOVA, the methods are compared with other existing methods in terms of number of iterations and solution to convergence between the individual methods used. Numerical examples are used in the comparison to justify the efficiency of the new iterative methods.