1

ABSTRACTPROCEEDINGOFTHEINTERNATIONALCONFERENCEONINFORMATICS,COMPUTING&

APPLIEDMATHEMATICS

“FOSTERINGKNOWLEDGEABLESOCIETIES”

UNIVERSITISULTANZAINALABIDIN,TERENGGANU7-9OCTOBER2017

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ORGANIZINGCOMMITTEE

PatronProfessorDato'DrAhmadZubaidiAbdulLatifViceChancellor,UniversitiSultanZainalAbidin

Advisor

ProfessorIrDrR.BadlishahAhmadDeputyViceChancellor(ResearchandInnovation),UniversitiSultanZainalAbidin

Co-Advisors

DrSyadiahNorWanShamsuddinDean(FacultyofInformatics&Computing),UniSZA

ProfDrAzizahEndutDean(FacultyofInnovativeDesign&Technology),UniSZA

Chair

DrMohamadAfendeeMohamedDeputyDean(ResearchandDevelopment),FacultyofInformatics&Computing,UniSZA

Co-Chairs

AssociateProfDrMokhairiMakhtarLecturerFacultyofInformatics&Computing,UniSZA

DrMartiniMuhamadLecturerFacultyofInnovativeDesign&Technology,UniSZA

Secretary

DrSitiSabariahAbasLecturerFacultyofInformatics&Computing,UniSZA

Treasurer

MrsSitiDhalilaMohdSatarLecturerFacultyofInformatics&Computing,UniSZA

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ChairpersonoftheConferenceSecretariat

SecretariatSponsorshipMrsMaizanMatAmin(L),DrMumtazimahMohamad,DrZahrahtulAmaniZakaria,Mr

SheikhAhmadTajuddinSheikhYusoff,MrFiroz@MohdFirozAhmatBasri,DrSitiMaryamSharun

SecretariatPromotion,Publicity&InternationalAffair

MrAhmadFaisalAmriAbidin(L),MrMohdSufianMatDeris,MrMohdKamirYusof,MrCheMatIsmail,MrZaamiMohamad,MrSuhailanDato'Safie,MrFatimahGhazali,DrMartini

Muhamad,DrYewBeenSeok,MrMohdHosniRifin

SecretariatProtocol&RegistrationDrIsmahafezi(L),DrAzrulAmriJamal,MrsAzilawatiRozaimi,MrMatAtarMatAmin,MrsNurHaizalMatYaakob@Ariffin,MrsNorShuhadaMatSani,MrNikMohdSharirNikAb.

Wahid

SecretariatTransportation,Accomodation&VisitMrMohdIsaAwang(L),MrAbdRasidMamat,DrMohdFadzilAbdulKadir,MrsHasni

Hassan,DrAznidaHayatiZakaria,MrsNurulLiyanaMohamadYusof,DrAhmadNazariMohdRose,DrImranAbdullah,MrAhmadFairuzAriff,PuteraMohammadFarisAnuar

SecretariatFood&Decoration

MrsSharifahSumayyahEngkuAlwi(L),NorkhairaniAbdulRawi,MrsNorlinaUdin@Kamaruddin,MrsFauziahAb.Wahab,MrsNorSurayatiMohamadUsop,Mr

MohamadFarhanCheAnuar,MrAhmadYusmadyYusoff

SecretariatSouvenir&CertificateMrsFadhilahHarun(L),DrNurnadiahZamri,MrsRoslindaMuda,MrsIrmaShayana

Samaden,DrWanSuryaniWanAwang,MrsSuhaifaAb.Wahab,MrsNorHayatiMoktar

SecretariatTechnical&LogisticMrMohdKhalidAwang(L),MrAbdMalikAbdManan,MrSyedMohdFakhreeSyedAlwi,MrMuhammadMuhaiminHashim,MrPuteraMohammadFarisAnuar,MrZammeriAbd.

Rahman,MrMohdHazimBinAbdAziz

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CONFERENCE TENTATIVE PROGRAM

Date Time Activity

OCT7,2017(Saturday)

1.45pm-2.30pm

Registration

2.30pm-4.45pm

ParallelSession1

4.45pm-5.00pm

AfternoonCoffeeBreak

Oct8,2017(Sunday)

9.00am-10.00am

KeynotePresentation:ProfGrahamKendall

10.00am-10.15am

MorningCoffeeBreak

10.45am-12.45pm

ParallelSession2

12.45pm-1.45pm

LunchBreak

1.45pm-4.45pm

ParallelSession3

4.45pm-5.00pm

AfternoonCoffeeBreak

Oct9,2017(Monday)

9.00am-10.00am

KeynotePresentation:ProfSitiMariyamShamsuddin

10.00am-10.15am

MorningCoffeeBreak

10.45am-12.45pm

ParallelSession4

12.45pm-1.45pm

LunchBreak

2.30pm-5.00pm

TriptoPasarPayang,KualaTerengganu

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KEYNOTESPEAKERS

ProfessorDrGrahamKendallisamemberoftheAutomated,Scheduling,OptimisationandPlanningGroup in the School of Computer Science& IT at theUniversity ofNottingham.Priortohisacademiccareer,hespentover15years intheIT industrywherehemanagedover 50 people and was responsible for a variety of small, medium and large scale ITprojects.HeisamemberoftheEPSRCPeerReviewCollege(2003-2008)andisanassociateeditor of the International Journal of Systems Science and INFOR, the journal of theCanadianOperationalResearchSociety.HeisamemberoftheeditorialboardofIntelligentSystems in Accounting Finance andManagement and Cognitive Neurodynamics.ProfessorKendall is the principal investigator on 4 currently active EPSRC awards and is co-investigator on 9 other currently active awards. In total, he has attracted over £5M inexternal funding. This includes an EPSRCPLATFORMaward (GR/S70197/01, £423K) and arecent responsive mode award (EP/D061571/1,£2.6M). Professor Kendall has publishedover75refereedpapersininternationaljournalsandconferences,and5bookchapters.Heis also the editor of 8 books. He has chaired 6 international conferences,which includesestablishing the MISTA (Multidisciplinary International Conference onScheduling: TheoryandApplications) seriesof conferences,whichhavebeen run inNottingham (2003),NewYork (2005) and Paris(2007); all chaired by Professor Kendall. He has served on over 80programme/technicalcommitteessince2000.Hecurrentlysupervises9PhDstudentsandhassupervised8PhDstudentstocompletion.

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Prof Dr Siti Mariyam Shamsuddin have received Bachelor and Master degree inMathematicsfromFairleightDickinsonUniversity(FDU)TeaneckNewJerseyUSA,andPhDinArtificialIntelligencefromUniversitiPutraMalaysia(UPM),Malaysia.SheusedtobeaHeadofR&DClusterofEngineeringand ICT,UniversitiTeknologiMalaysia in2007until2009,HeadDepartmentofComputerGraphicsandMultimediafrom2001until2006,andHeadofSoftComputingResearchGroup,UTM,from2000untilApril2014.Currently,sheisholdinga post as Director, UTM Big Data Centre, Skudai Johor Bahru (bigdata.utm.my) whichfocusesonDataScienceandBigDataAnalyticsrangingfromR&Dproductsandservices.TheseincludeProfessionalCertificatesinDataScience,ProfessionalCertificatesinBigDataAnalytics, GPU-based Computing Courses, GPU-based Machine Learning, Big Data QRCodes,GPUBigDataAnalytics,NthBiometricsSystemsforGPU-PlatformandCost-EffectiveBigDataPlatform.Prof SitiMariyamhaveexperiencesdealingwithdata analytics startedduringherbachelorandmasterdegreeinMathematicsinUSAwheresheworkedpart-timeas LibraryCatalogingAnalytics at FDULibrary (July1988–May1989), ComputerAnalystandInsuranceAnalyst,NJUSA(1989–1990).Herexperiencesinsolvingindustrialproblemsranging from fundamental issues to practical applications and these include IntelligentSolutionforWebCaching ine-BusinessTransaction, MachineLearningapproachesforAirConditionProductDesign, DataAnalyticsforPolymerDegradation, RetailSportAnalytics,Desk Help Service Analytics, Malware Analytics, and others. Prof Siti Mariyam havepublishedmany journals and conference papers.Her research interests includeBigDataComputing, Machine Learning, Soft Computing, Pattern Recognition, Biometrics SystemsandIntelligentGraphics.ShealsoservedasaneditorofScopus-indexJournal–InternationalJournalofAdvancesinSoftComputing&ItsApplications(http://www.home.ijasca.com).

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ABSTRACTS

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PARALLELSESSION1:A

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EstimatingtheUnemploymentRateusingLeastSquareandConjugateGradientMethods

NurSyarafinaMohamed1,MustafaMamat1,MohdRivaie2,NurHamizahAbdulGhani1,NorhaslindaZull1,SyazniSyoid1

1FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin(Unisza),Terengganu,Malaysia

2DepartmentofComputerSciencesandMathematics,UniversitiTeknologiMARA(UiTM)Terengganu,Malaysia

Unemployment rate is one of the major issues among Malaysian citizens. Theunemployment rate indicates the percentage of the total workforce who are activelyseekingemploymentandcurrentlyunemployed.Inthispaper,adataofunemploymentrateofastateinMalaysiafromyear2000until2015iscollected.ThestatisticsdataisextractedbyLabourForceSurveyMalaysia(LFSM)whichwasconductedmonthlybyusinghouseholdapproachtargetedtoworkingagesbetween15to64yearsold.Anestimationdataforyear2016 can be forecasted by using discrete least squaremethod of numerical analysis andconjugate gradient method in unconstrained optimization. These methods have beenchosen based on its simplicity and accuracy. The calculations are based on linear andquadraticmodelsforeachthemethodtogetherwiththeirerrors.Resultsshowedthattheconjugategradientmethodiscomparablewiththeleastsquaremethod.Keywords:UnconstrainedOptimization,Workforce,LeastSquareMethod,ConjugateGradientMethod.

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TheApplicationofNewConjugateGradientMethodsinEstimating

SyazniShoid1,NorrlailiShapiee1,NorhaslindaZull1,NurHamizahAbdulGhani1,NurSyarafinaMohamed1,MohdRivaie2,MustafaMamat1

1FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin(Unisza),Terengganu,Malaysia

2DepartmentofComputerSciencesandMathematics,UniversitiTeknologiMARA(UiTM)Terengganu,Malaysia

Manyresearchesare intendedto improvetheconjugategradient(CG)methodsaswellastheir applications in real life. Besides, CG become more interesting and useful in manydisciplines and has important role for solving large-scale optimization problems. In thispaper,threetypesofnewCGcoefficientsarepresentedwithapplicationinestimatingdata.Numerical experiments show that the proposed methods have succeeded in solvingproblemsunderstrongWolfePowelllinesearchconditions.

Keywords:ConjugateGradientCoefficient,StrongWolfePowellLineSearch,Regression.

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AnApplicationofConjugateGradientMethodunderStrongWolfeLineSearchforSolvingUnconstrainedOptimization

WanKhadijah1,MohdRivaie2,MustafaMamat1NurulHajar1,NurulA’ini1,Zubai’ahZainalAbidin1,1FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin(UniSZA),Terengganu,21300,Malaysia.2DepartmentofSciencesandMathematics,UniversitiTeknologiMARA(UiTM),Terengganu,21080,Malysia.

The conjugate gradient (CG) method is one of the most prominent methods for solvinglinearandnonlinearproblemsinoptimization.Inthispaper,weproposeaCGmethodwithsufficient descent property under strongWolfe line search. The proposed CGmethod isthenappliedtosolvesystemsoflinearequations.Thenumericalresultsobtainedfromthetests are evaluated based on number iteration and CPU time and then analyzed throughperformanceprofile.Inordertoexamineitsefficiency,theperformanceofourCGformulaiscomparedtothatofotherCGmethods.TheresultsshowthattheproposedCGformulahasbetterperformancethantheothertestedCGmethods.

Keywords: Spectral Conjugate Gradient, Conjugate Gradient Method, strong Wolfe linesearch.

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RainfallFrequencyAnalysisusingLH-momentsApproach:ACaseofKemamanStation,Malaysia

ZahrahtulAmaniZakaria1,JarahMoathSuleimanAli,MumtazimahMohamad11FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,

BesutCampus,22200Besut,Terengganu,Malaysia

Statistical analysis of extreme events is often carried out to obtain the probabilitydistributionoffloodsdataandthenpredicttheoccurrenceoffloodsforasignificantreturnperiod.L-momentsapproachisknownasthemostpopularapproachinfrequencyanalysis.ThispaperdiscussescomparisonoftheL-momentsmethodwithLH-momentsmethod.LH-moment,ageneralizationofL-moment,whichisproposedbasedonthelinearcombinationsofhigher-orderstatisticshasbeenusedtocharacterizetheupperpartofdistributionsandlargereventsinflooddata.It isobservedfromacomparativestudythattheresultsoftheanalysis of observed data and the diagram based on the K3D-II distribution using LH-moments method is more efficient and reasonable than the L-moments method forestimatingdataoftheupperpartofthedistributionevents.

Keywords:LHMoments,K3DDistribution,FrequencyAnalysis,LinearCombination,Higher-OrderStatistic

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EfficientModificationonSpectralConjugateGradientMethodforUnconstrainedOptimization

UsmanAbbasYakubu1,MustafaMamat2,MohdRivaie3,Rabi’uBashirYunus4,JamiluSabi’u11DepartmentofMathematicsNorthwestUniversity,Kano,Nigeria

2FacultyofInformaticsandComputingUniversitiSultanZainalAbidin(UniSZA),K.Terengganu,Malaysia3DepartmentofComputerSciencesandMathematicsUniversitiTeknologiMARA(UiTM),K.Terengganu,Malaysia

4DepartmentofMathematicsKanoUniversityofScienceandTechnology,Wudil,Nigeria

Byemployingtwoprominentdirections;classicalNewton’sdirectionandCGdirectionusingthestandardsecantequation.AmodifiedspectralCGmethod(MSCG) isproposedtoattainboththeoretical and numerical efficiency for solving large-scale problems under some suitableconditions,sufficientdescentaswellasglobalconvergencehavebeenprovedbystrongWolfelinesearch.NumericaloutcomeshowsthatthemethodishighlypotentialwhencomparedwithclassicalPRP,FRandspectralCGmethods.However,weconsideredtwentyeightstandardtestfunctionswithdimensionrangingfrom2upto100,000.

Keywords: Spectral CG, sufficient descent property, global convergence, secant condition,inexactlinesearch

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MODIFICATIONOFCONJUGATEGRADIENTMETHODFORUNCONSTRAINEDOPTIMIZATIONPROBLEMS

OmarAlshorman1,MustafaMamat1,AhmadAlhawarat2,MohdRevaie31School of Informatics and Computing Universiti Sultan Zainal Abidin (UNISZA),

Kuala Terengganu, Malaysia. 2 Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin (UNISZA),

Kuala Terengganu, Malaysia. 3 College of science, Isra University, Amman, Jordan 4Department of Computer Science and Mathematics

Universiti Technology MARA (UiTM) Terengganu, Malaysia

The conjugate gradient methods have played a significant role in solving large-scaleunconstrainedoptimizationproblems.Manystudiesandmodificationshavebeendevotedrecently to improve and modified these methods. In this paper, we proposed a newparameter of conjugate gradient method that possesses global convergence propertiesundertheStrongWolfe-Powellline(SWP)search.Numericalresultsshowthattheproposedformula is very efficient and better when compared to the other CG parameters Polak-RribierePloyak(PRP),Fletcher-Reeves(FR)and(WYL).

Keywords: Conjugate gradient parameter, inexact line search, Strong Wolfe-Powell linesearch,Globalconvergence,unconstrainedoptimization.

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PARALLELSESSION1:B

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Travelling-WaveSimilaritySolutionforGravity-DrivenRivuletofaNon-NewtonianFluid

SitiSabariahAbas1,YazariahMohdYatim21FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,22200Besut,Terengganu,Malaysia

2SchoolofMathematicalSciences,UniversitiSainsMalaysia,11800USM,PulauPinang,MalaysiaUnsteady travelling-wave similarity solution describing the flow of a slender symmetricrivuletofnon-Newtonianpower-lawfluiddownaninclinedplaneareobtained.Theflowisdrivenbygravitywithstrongsurface-tensioneffect.Thesolutionpredictsthatatanytimetandpositionx,therivuletwidensornarrowsaccordingto(x-ct)^(1/4),wherecisvelocityofarivulet,andthefilmthickensorthinsaccordingtoafreeparameterF_0,independentofpower-law index N. The rivulet also has a quartic transverse profile which always has aglobalmaximumatitssymmetricalaxis.Keywords:Rivulet,Power-lawfluid,Travelling-wavesimilaritysolution,Thinfilm.

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RepairableQueuewithNon-exponentialInterarrivalTimeandVariableBreakdownRates

KohSiewKhew1,ChinChingHerny2,TanYiFei3,PooiAhHin4,GohYongKheng5,LeeMinCherng6,NgTanChing7

1,2,5,7UniversitiTunkuAbdulRahman,LeeKongChianFacultyofEngineeringandScience,3MultimediaUniversity,FacultyofEngineering,

4SchoolofMathematicalSciences,SunwayUniversity6MonashUniversityMalaysia,SchoolofInformationTechnology

This paper considers a single server queue in which the service time is exponentiallydistributedandtheservicestationmaybreakdownaccordingtoaPoissonprocesswiththerates γ and γ' in busy period and idle period respectively. Repair will be performedimmediately following a breakdown. The repair time is assumed to have an exponentialdistribution. Let g(t) and G(t) be the probability density function and the cumulativedistributionfunctionoftheinterarrivaltimerespectively.Whenttendstoinfinity,therateof g(t)/[1 – G(t)] will tend to a constant. A set of equations will be derived for theprobabilitiesofthequeuelengthandthestatesofthearrival,repairandserviceprocesseswhenthequeueisinastationarystate.Bysolvingtheseequations,numericalresultsforthestationaryqueuelengthdistributioncanbeobtained.Keywords:InterarrivalTime,ConstantAsymptoticRate,StationaryQueueLengthDistribution,RepairableQueue.

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EnthalpyMethodforOneDimensionalHeatConduction

FarahSurayaMdNasrudin1,ShafarunizaMahadi1

1FacultyofComputerandMathematicalSciences,UniversitiTeknologiMARA,Johore85000,Malaysia

Inthispaper,theEnthalpyMethodisemployedtocomputeanapproximatesolutionofthesystemofnonlineardifferentialequations focusingon thesimulationofmovingboundaryfor one dimensional heat conduction. This paper is only considered in the problem ofmelting.Inordertoseekthesolutionintermoftemperaturedistribution,FiniteDifferenceMethodwillbeused.Theresultsobtainedarecomparedbetweensolvingwithenthalpyandwithoutenthalpy.Keywords:EnthalpyMethod,temperaturedistribution,FiniteDifferenceMethod,heatconduction.

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ImplicationsofTechnologyAcceptanceofMassiveOpenOnlineCoursesonTraditionalHigherEducation

AbdullahiGarbaAli1,SyarillaIryaniBintAhmadSani2,DantongMuttaqaYusha'uAbdulra'uf3,MuhammadLawalJibril4

1,2FacultyofInformaticsandComputing,UniversitiSulatnZainalAbidin,Terengganu130012,Malaysia3DepartmentofHumanitiesandSocialSciences,UniversitiTeknologiPetronas,Perak32610,Malaysiann

4DepartmentofComputerSciences,FederalUniversityKashere,GombeNigeria

The dawn of 21st century is shaped by the intensification of Information andCommunication Technologies (ICTs) in educational practices. This, has significantlytransformedthespaceofknowledgeproductionanditsdisseminationinHigherEducationInstitutions (HIEs) globally.AParadigm shift seems tohave takenplace froma controlledtraditionallearningspaces,toanopengloballearningplatform.TheupsurgeoftheMassiveOpen Online Courses (MOOCs) in the current higher education practices is a majorconsequenceofthistransformation.MOOCSplatformshadliberalizeandcompressestimeandspace regarding thedisseminationofknowledge.Thispaper seeks tocritically reviewthe implication of this technology acceptance practices on traditional higher educationsystemsthroughacritical reviewof theexistingworks. ItdrawsonBourdieu’sconceptof‘practice’asitstheoreticalguide.Theconceptofpracticedenotesinternalizationofcertaintraits ‘habitus’ in the cultural systems,which comes to shape how people accept certainpractices in their knowledge spaces. The paper interrogates the following question;whataretheimplicationsofMOOCSacceptanceonhighereducationpractices?

Keywords:HigherEducationalInstitutions,ConceptofPractice,MOOCS,TechnologyAcceptanceModelandHabitus

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WebServicesApplicationforTemporalBasedMultimediaDataArchive

SyarillaIryaniASaany1,MNordinARahman1andAhmadFakhriAbNasir21FacultyofInformatics&Computing,UniversityofSultanZainalAbidin,BesutCampus,22200Besut,Terengganu,Malaysia.

2FacultyofManufacturingEngineeringUniversityofMalaysiaPahang,PekanCampus26600Pekan,Pahang,Malaysia

Inorder tomanipulatemultimediadataefficiently,dataannotationmustexplainhowtheobject is organized and how the parts of the object are represented. In a large-scalemultimediadatatransactionenvironment,thedataannotationsneedtobelinkedwithtimeseries (temporal aspect) in order to provide effective datamanagement. The aimsof thetemporal data management are to identify of an appropriate data type for time and toprovidequery algebra that candealwith temporal data.Meanwhile,web services are anemergingtechnologythatcanbeusedtosharebusinesslogic,dataandprocessesbetweenvariousprovidersandallowsdifferentapplicationsfromdifferentresourcestocommunicatewith each other. This paper proposes a temporal based model for archiving a set ofmultimediadatawhichisdevelopedunderwebservicesframework.Usingthewebservicesframework,aconceptofsoftwareasaserviceisdevelopedtoexecuteprimitiveoperationsinmultimediadatamanagementsuchasinsert,update,deleteandcrawler.Thedevelopedmodel can create a process and services dynamically without having to underlying thecomplicatedinterfaces.

Keywords:MultimediaData,TemporalDatabase,WebServices,SoftwareasaService.

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PARALLELSESSION1:C

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RationalSpeculativeBubbleSizeinHangSeng,S&P500andNikkei225IndexTrendfromYear1976until2016

NurharyantiBorhan1,NurfadhlinaAbdulHalim1,WanMuhammadAmirW.Ahmad2,MustafaMamat3,NorAzlidaAleng1,KasypiMokhtar4,MohdAsrulAffendiAbdullah5andZailaniAbdullah6

1SchoolofInformaticsandAppliedMathematics,UniversitiMalaysiaTerengganu,21030KualaNerus,Terengganu,Malaysia.

2SchoolofDentalSciences,CampusofHealth,UniversitiSainsMalaysia,16150KubangKerian,Kelantan,Malaysia.

3FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,GongBadakCampus,21300KualaTerengganu,Terengganu,Malaysia.

4SchoolofMaritimeBusinessandManagement,UniversitiMalaysiaTerengganu,21300KualaTerengganu,Terengganu,Malaysia.

5DepartmentofMathematicsandStatistics,UniversitiTunHusseinOnnMalaysia,86400ParitRaja,BatuPahat,Johor,Malaysia.

6FacultyofEntrepreneurshipandBusiness/CentreofComputingandInformatics,UniversitiMalaysiaKelantan,CityCampus,LockedBag36,PengkalanChepa,16100KotaBaharu,Kelantan,Malaysia.

Rational speculative bubble size happens when the prices of an asset exceed itsfundamental value. This bubbles are harmful when burst because its gives a big impacttowards the economic. This study aims to show the size of rational speculative bubbleexisted fromyear1976until 2016. Theperiodare separated into fourwhichare the firstcycle is from1/11976to6/12/1987, thesecondcyclehappen in7/12/1987to12/8/1998,13/8/1998to26/10/2008forthethirdcycleand27/10/2008to31/12/2016forthefourthcycle.This study isalsoemphasizingon the trendof the rational speculativebubble fromonecycletoanothercycle.ThisbubblessizewasstudiedinthreemarketswhichareHangSeng, S&P 500 andNikkei 225 by using generalized Johansen-Ledoit-Sornettemodel. Thedifference fromone cycle to another cycle is important to identify and forecast the nextcycleandtherationalspeculativebubblesize.

Keywords: Rational Speculative Bubble, Financial Bubble, Trend, Generalized Johansen-Ledoit-Sornette

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TheAlternativeProfitRateBasedonShariah-CompliantByUsingCompoundingTheory

NadhirahGazali1,NurfadhlinaAbdulHalim1,MohdAsrulAffendiAbdullah2,WanMuhamadAmirW.Ahmad3,MustafaMamat4,ZailaniAbdullah5andKasypiMokhtar6

1SchoolofInformaticsandAppliedMathematics,UniversitiMalaysiaTerengganu,21300KualaTerengganu,Terengganu,Malaysia.

2DepartmentofMathematicsandStatistics,UniversitiTunHusseinOnnMalaysia,86400ParitRaja,BatuPahat,Johor,Malaysia.

3SchoolofDentalSciences,HealthCampus,UniversitiSainsMalaysia,16150KubangKerian,Kelantan,Malaysia.

4FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,GongBadakCampus,21300KualaTerengganu,Terengganu,Malaysia.

5FacultyofEntrepreneurshipandBusiness/CentreofComputingandInformatics,UniversitiMalaysiaKelantan,CityCampus,LockedBag36,PengkalanChepa,16100KotaBaharu,Kelantan,Malaysia.

6SchoolofMaritimeBusinessandManagement,UniversitiMalaysiaTerengganu,21300KualaTerengganu,Terengganu,Malaysia.

Islamicbankingandconventionalbankinghassameaiminthefinancialactivitywhichistogainprofit.ProfitofIslamicfinance/bankinginMalaysiaisbasedontheprofitrate,whileforconventionalbankingbasedoninterestrate.However,bothprofitrateandinterestratearedeterminedbasedonthesamereferencerate,namelybaserate(BR).Thedeterminationofthe components contained in the BR such as benchmark cost of funds and the statutoryreserverequirement(SRR)foundthatthereisnon-compliancewiththeShariahperspectivebecause this components directly proportional to the overnight policy rate (OPR).Therefore,analternative formula for theprofit ratewasbuiltwhich isknownas thebaseprofit rate (BPR). Form BPR model, determination of the profit based on compoundingtheory. Thus, constructionofBPR formula is basedon theprinciples that aremuchmoreShariahcompliant.

Keywords:ProfitRate,ReferenceRate,BaseProfitRate,Shariah,CompoundingTheory.

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NumericalSolutionofHybridMethodforThirdGradeFlowDuetoVariableAcceleratedPlateinaRotatingFrame

ShafarunizaMahadi1,2,3,ZainalAbdulAziz2,3,FaisalSalah4,YeakSuHoe2,FarahSurayaMdNasrudin11FacultyofComputerandMathematicalSciences,UniversitiTeknologiMARACawanganJohor,85000

Segamat,Johor,Malaysia2MathematicsDepartment,FacultyofScience,UniversitiTeknologiMalaysia,81310JohorBahru,Johor,

Malaysia3UTMCentreforIndustrialandAppliedMathematics(UTM-CIAM),UniversitiTeknologiMalaysia,81310Johor

Bahru,Johor,Malaysia4MathematicsDepartment,FacultyofScience,UniversityofKordofan,Elobiad,Sudan

Theaimofthisarticleistoobtainnumericalsolutionforincompressibleunsteadyflowforthird grade fluid inducedby variable acceleratedplate.Numerical solution is obtainedbyusingHybridmethod.Thismethodwhichcombinebetweenfinitedifferencemethod(FDM)and asymptotic interpolation method. The influence of difference values of materialconstantparametersonthevelocityflowfluidarediscussedandshowngraphically.

Keywords:FiniteDifferenceMethod,AsymptoticInterpolationMethod,thirdGradeFluid,RotatingFrame,VariableAccelerated

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AnIntegrationofFTOPSISwithZ-NumberforFuzzyMulti-CriteriaDecisionMakingProblems

RatihFitriaJumarni1,NurnadiahZamri11FacultyofInformaticsandComputing,UniversitySultanZainalAbidin,

TembilaCampus,22200Besut,Terengganu,MalaysiaInreality,humansusuallyuncertaintyorvagueinexpressingtheirpreferenceorvotesbasedoncrispnumberorscale.Muchoftheinformationonwhichdecisionarebasedisuncertain,themethods can be used to support the system's decision is to use FuzzyMulti-CriteriaDecision Making (FMCDM). This method was chosen because it can selecting the bestalternative from a number of alternatives Criteria. Fuzzy Multi-Criteria Decision Making(FMCDM)isamethodofdecision-makingtodeterminethebestalternativefromanumberofalternativesbasedoncertaincriteria".Thecriteritausuallyintheformofaction,rulesorstandards used in decision making. The lack of capability to handle vagueness in thedecisionmaking,hasbeenmainweaknessofFuzzyTOPSIS.Thus,thepurposeofthispaperis to introduceFuzzyTOPSISandz-numbertoseveralcriteria fuzzygroupdecisionmaking(FMCDM). Fuzzy TOPSIS is used to determine the alternativemost suitable in relation todifferent selection criteria and z-number to present experts reability, this method canchoosethebestalternativefromanumberofalternativesbasedonsomespecificcriteria".Thecriteriaareusuallyintheformofaction,therulesorstandardusedindecisionmaking.AnumericalexampleonFMCDMisusedtodescribetheefficiencyoftheproposedmethodKeywords:FuzzyTOPSIS,Z-number,Multi-criteriadecision-making

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PARALLELSESSION2:A

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Ergo-AestheticApproachThroughSensesandBehaviouralAssessment

MuhamadEzranZainalAbdullah1,2,KhairulAidilAzlinAbdRahman11FacultyofDesign&Architecture,UniversitiPutraMalaysia,43400UPMSerdang,Selangor,Malaysia

2FacultyofCreativeTechnology&Heritage,UniversitiMalaysiaKelantan,BachokCampus,16300Bachok,Kelantan,Malaysia

In general, the concept of ergo-aesthetic discloses the equilibrium of human behaviouralcharacterwithform,shape,andsymbolisminsideadesignedproduct.Infact,thisharmonysynthesis can be achieved throughout responses of behaviour and senses inside a designprocess.Throughtheadaptationofergo-aesthetic,humanswillbeabletoachievegreatersatisfaction with the designed product as they will positively interact and respondproportionally to it. In this context, ergo-aesthetic principles will replace the traditionalmethod of evaluating and adapting ergonomic and aesthetic into the design process toachieve a better output product. Essentially, ergonomic and aesthetic are fundamentalcomponents that need to be considered throughout the design process procedures. Thesynergybetweenthesetwoaspectsmayfacilitateinoptimisingtheefficiencyofthedesignprocesswhichwillcontributetoahigheroutputquality.Additionally,behaviourandculturearealsosignificantastheyfunctionasbondingagentsforergonomicandaesthetictomergeharmonically. Thus, implementing ergo-aesthetic principles into design process throughbehaviourandculturalperspectivesmayleadtotheenhancementoftheoutputqualityofaproduct.

Keywords:DesignProcess,Ergo-Aesthetic,Senses.

29

AnalyzingHydroponicRackDesignForApartmentHouse

MohdHafizTalib1,KhairulAidilAzlinAbdRahman1,MohdShahrizalDollah1

1DepartmentofIndustrialDesign,FacultyDesignAndArchitecture,UniversityPutraMalaysia,43400Serdang,SelangorMalaysia

Theobjectiveofthisstudyistoanalyzeuserswhoarelivingincondominiumandapartmentin anurbanarea inorder topractice theurban farmingactivity.Malaysia is adevelopingcountry, in 2020almost 75% typeof house inMalaysia is apartment. Themajorproblemliving in condominium and apartment is the limited space to do farming activity.Furthermore,today'susersdonotknowwheretheirfoodcomesfromandalsouncontrolledusingpesticideamongthefarmers.Over80%ofourfoodsupplieswereimportedandourlocalcropsproductswereexported.Livingcosttodayistoohigh.Infact,65%fromapersonsalary is for foodconsumption.Moreover, theexistingdesignofhydroponicsystemisnotsuitableforthecurrentlifestyleneeds.Theaimofthisstudyistohelpuserssothattheycanfarmwithinalimitedspaceintheurbanarea,it’salsotocreateawarenesstheimportanceofplantingtheirownfoodathomeforfuture.Hydroponicsystemcanreduce40%oflivingcost for food. The compact rack system design has been proposed based on thefunctionality and practicality for crops planting in a small area using deep water culturesystem. The compact rack design using a simple system that can easy to assemble anddisassemblethatcanbesuitintohomeinterior.Theresultoftheexperimentshowsthatthehydroponicrackwithmodularsystemissuitableforthecondominiumandapartmentareawhicharesmallandcompact.

Keywords:Hydroponic,CompactRackSystem,VerticalFarming,DeepWaterCulturesystem,UrbanFarming,UrbanLifestyle.

30

SkillsWorkersinMechanicalEngineering:PortableSprocketMakerbyGuidingtheDrillingMachine

WOmarAliSaifuddinbinWanIsmail1,2,NorainibintiHamzah2,MohdNazafeebinMohdRidhuanTee1

1FacultyofInnovativeDesignandTechnology,UniversitySultanZainalAbidin,GongBadakCampus,21300KualaNerus,Terengganu

2FacultyofEngineeringandBuiltEnvironment,NationalUniversityofMalaysia,43600,Bangi,Selangor

Sprocketisawheelwithteeththatmeshwithachain.Itisbeingusedwidelyinautomotiveand machinery to transmit rotary motion between the shafts. In manufacturing thesprockets,someoftheworkershavetheskillstomakeitandsomeofthemlacktheskills.Skillsareimportantinmanufacturingengineering.Themainfocusofthisresearchistohelptheworkers inmanufacturing the sprocket efficiently and low cost while providing goodqualityofsprocket.Inthisresearch,operationsthatrequiresmachiningsomeofthemaresimple which can be done easily such as turning. No other devices needed to hold theworkpieceinsuchanoperation.Inaddition,theresearchaimstodevelopajig&fixturetoolwhichiscalledasprocket.Whiletheresearchmethodologyisdividedinto2whicharetheprocedureduring themakingof theproject and the results anddiscussionobtained. Thisstudyisveryusefulforsmallandbigindustriesforthesprocketprocess.Itwouldhelptheusertomakesprocketsonlyusingthissprocketmakertoguidethedrillingmachine.Itisalow cost and efficient way for manufacturers that is currently in this sprocketmanufacturing.

Keywords:Skills,Jig,Fixture,Sprocket

31

PreservingSongketthroughSustainablePackagingDesign

NorZiratulAqmabintiNorzamanFacultyofInnovativeDesignandTechnology,UniversitiSultanZainalAbidin,GongBadakCampus,

21300KualaTerengganu,Terengganu

To date, we have never come across any significant study conducted on the Songketpackaging design. Most available research findings focus on the motifs and how it isapplicabletothecontemporaryworld.SongketpackagingdesignhasnotevolvedparalleltotherapidgrowthofSongkettextiledesign.Fromtheobservationdone,today,mostoftheSongket especially sampin packaging design relies on conventional packaging and otherreliable forpreserving itsquality in long termstorage.These researchaimto testout theapplicabilitydesignspecialforstoringsampin.

Keywords:Songket,Sampin,Textile,PackagingDesign

32

SmartFlush:OneInnovationofSkillsWorkertoImprovetheQualityandSaveCostforToiletPumpSystem

WOmarAliSaifuddinbinWanIsmail1,2,NorainibintiHamzah2,KhalidbinJusoh11FacultyofInnovativeDesignandTechnology,UniversitySultanZainalAbidin,GongBadakCampus,21300

KualaNerus,Terengganu2FacultyofEngineeringandBuiltEnvironment,NationalUniversityofMalaysia,43600,Bangi,Selangor

SmartFlushisaninnovativeproductinmechanical,electricalandelectronicengineering.Alltheskilledworkersneedtoimprovethequalityofproductthatwouldbemanufacture.Thethree objectives of this study are as follows; (i) to design automatic water level controlbasedonelectrical conductivityof thewater, (ii) to improve the supplyofwater into thewatertankaswellasavoidinganyaccessingwater,and(iii)toprovideeasyinstallationandmaintenance.Inthisstudy,theresearchershaveusedtheconceptof5W+1Htosolvetheproblem. The existingwater level for toilet flushing system employsmechanicalmethod,which is commonly expose tomechanical failure. Common failures are such as the ballvalvesystemthatiseasytowearandfracture,floatingballisnotadjustcorrectlytopreventinflow of water into the water tank and damage to the siphon system. This researchintroducesthenotionofwaterlevelcontrollingwithinthecontextofelectricalconductivityofthewater.Morespecifically,systemdesignintegratestheelectricalandelectronicbasedwater levelsensingandcouplewithsolenoidsshutoffvalve inawiredenvironment. Thesystemequipmentislowerpowerconsumption,equipmentonlyworkwhenthewaterlevelchanges,usually is inawaitingstate. SmartFlushapproachwouldhelp inreducingwateroverflowandlowwaterpressureinthepipingsystem.Furthermore,theamountofwaterlevelinthetankthatcanbeadjustedaccordingly.Maintainingwaterlevelinsidethetoiletpumpsystemisanessentialaspectinordertoavoidwasteofwaterduetooverflow.

Keywords:SmartFlush,SolenoidValve,Innovation,SkillsWorker

33

TheImpactofCustomerIntegrationonManufacturingFirmsSustainablePerformance

MohamadGhozaliHassan1,RahimiBintiAbindin1,NoraniBintiNordin11SchoolofTechnologyManagementandLogistics,UniversitiUtaraMalaysia,Sintok06010,Malaysia

This paper examined the impact of customers’ integration on the three dimensions ofsustainability performance (environmental, economic and social) among manufacturingfirms.Therationaleforundertakingthisstudyisbasedonthefactthatmanymanufacturingfirms,mostespeciallywithinMalaysiahaveyet toadoptgreensupplychainmanagement(GSCM)concept in theirbusinessoperation,withGSCMrecentlyemerging toensure thatfirmscomplywith regulations forenvironmentalprotection.Even the few firms thathaveimplementedthisconceptdonot integrate theircustomers in thechain,whichhas ledtothe creation of an unhealthy culture. Although there are few prior studies that haveinvestigatedcustomers'integrationonmanufacturingfirms’sustainableperformance,theyhavelargelyfocusedonsustainableperformanceonlyintermsofenvironmentaldimension,excludingtheeconomicandsocialdimensions.Inthisstudy,quantitativemethodwasusedforcollectingdatafrom107ISO14001certifiedmanufacturingcompanies inMalaysia.Thestatisticalpackageforsocialscience(SPSS)version20.0wasusedtoanalyzethedata.Thestudyfindingsindicatethatcustomerintegrationhasapositiveandsignificantrelationshipwith sustainable performance. Therefore, the study argues the need for customerintegrationtoensureavibrantbusinessorganizationperformance.

Keywords:CustomerIntegration,SustainablePerformance,SupplyChain,GreenManagement,OrganizationalPerformance

34

TheModeratingEffectofEnvironmentalRegulationandPolicyontheRelationshipbetweenContinuousProcessImprovementandOrganizationalPerformance:An

EmpiricalAnalysis.

MohamadGhozaliHassan1,AkanmuMuslimDiekola1,AhmadYusniBahaudin11SchoolofTechnologyManagementandLogistics,UniversitiUtaraMalaysia,Sintok06010,Malaysia

Thisstudyprimarilyaimstoinvestigatethemoderatingeffectsofenvironmentalregulationandpolicyontherelationshipbetweencontinuousprocessimprovementandorganizationalperformance.A Partial Least Square Structural EquationModeling (PLS-SEM)wasused toestimatetherelationshipamongtheabovevariablesinthecontextofMalaysianFoodandBeverage Companies. The results of this study revealed that continuous processimprovement has always been a significant predictor of organizational performance byfollowing the regulations and policy related to environment. The results confirmed thatenvironmental regulation and policy moderates the relationship between continuousprocess improvement and organizational performance. The integration of strategies andpracticeswillhelporganizationstoenhancetheirperformancethroughimplementationofthe suggested constructs in this study. The study also supported the premises of thecontingency theory and the institutional theory by reaffirming the importance of thesupportiveenvironmentalregulationandpolicyforanysuccessfulstrategicimplementation.

Keywords:ContinuousProcessImprovement;TotalQualityManagement;OrganizationalPerformance;EnvironmentalRegulationAndPolicy;FoodAndBeverageCompanies

35

PARALLELSESSION2:B

36

SilhouetteIndexforDeterminingOptimalK-MeansClusteringonImagesInDifferentColorModels

Abd.RasidMamat1FatmaSusilawatiMohamed1,MohamadAfendeeMohamed1,NorkhairaniMohdRawi1,MohdIsaAwang1

1FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,BesutCampus,22200,Terenganu,Malaysia

Clustering process is an essential part of the imageprocessing. Its aim to group thedataaccording to having the same attributes or similarities of the images. Consequently,determiningthenumberoftheoptimumclustersorthebest(well-clustered)fortheimageindifferentcolormodelsisverycrucial.Thisisbecausetheclustervalidationisfundamentalin theprocessof clusteringand it reflects the split between clusters. In this study, thek-meansalgorithmwasusedonthreecolorsmodel:CIELab,RGBandHSVandtheclusteringprocessmadeuptokclusters.Next,theSilhouetteIndex(SI)isusedtotheclustervalidationprocess,andthisvalue israngebetween0to1,andthegreatervalueofSI illustratesthebestofclusterseparation.Theresultsfromseveralexperimentsshowthatthebestclusterseparation occurs when k=2 and the value of average SI is inversely proportional to thenumberofkclusterforallcolormodel.Theresultshows,inHSVcolormodeltheaverageSIdecreased14.11% fromk=2 tok=8,11.1% inHSVcolormodeland16.7% inCIELabcolormodel.ComparisonsarealsomadeforthethreecolormodelsandgenerallythebestclusterseparationisfoundwithinHSV,followedbytheRGBandCIELabcolormodels.

Keywords:K-meansalgorithm,SilhouetteIndex,ClusterValidation,ColorModel,ImageFiltering.

37

Entity-basedParameterizationforDistinguishingDistributedDenialofServicefromFlashEvents

MAMohamed1,*,AFAbidin1,RRMohamad2,WNSWNik1,ARMamat1

1FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,BesutCampus,22200,Terengganu,Malaysia

2DepartmentofSystemandNetworking,UniversitiTenagaNasional,Kajang,43000,Selangor,Malaysia.

Inaperfectcondition,thereareonlynormaltrafficandsometimesflasheventtrafficsduetosomeeye-catchingorheart-breakingevents.Nevertheless,botheventscarry legitimaterequestsandcontentstotheserver.Flasheventtrafficcanbemassiveanddamagingtotheavailabilityoftheserver,however,anditcaneasilyberemediedbyhardwaresolutionssuchasaddingextraprocessingpowerandmemorydevicesandsoftwaresolutionsuchas loadbalancing. In contrast, a collection of illegal traffic requests produced during distributeddenialofservice(DDoS)attacktriestocausedamagetotheserverandthusisconsideredasdangerouswhereprevention,detectionandreactionareimminentincaseofoccurrence.Inthis paper, the detection of attacks by distinguishing it from legal traffic is of our mainconcern. Initially,we categorize the parameters involve in the attacks in relation to theirentities. Further,we examine different concepts and techniques from information theoryand image processing that takes the aforementioned parameters as input and in turndecideswhetheranattackhasoccurred.Inadditiontothat,wealsopinpointadvantagesforeachtechnique,aswellasanypossibleweaknessforpossiblefutureworks.

Keywords:DDoSAttack,FlashEvent,ParameterClassification,PacketEntropy,InformationDistance.

38

Ahybridmodelofordinalranking-basedclusteringusingG+RankK-Means

S.Suhailan1,*,S.AbdulSamad2,MA.Burhanuddin2andM.Makhtar11FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,22200,Terengganu,Malaysia

2FacultyofInformationandCommunicationsTechnology,UniversitiTeknikalMalaysiaMelaka,76100,Melaka,Malaysia

K-Means is a clustering technique that maps object features onto multidimensionalcoordinates and groups them based on location closeness. However, measuring closestdistance can be doubtful when ranking representation of ordinal scale objects are notconsidered.Thus,distributionofobjectsinaclustermayviolaterankingrepresentation.Forexample, a same-rank objectmay be grouped into different clusters. Although there aremanyresearchesonk-meanstowardsbetterresultconsideringinitialcentroidsandfeatureweighting, there is lacking investigation inprocessing these factors towardsbetter rankedcluster. To address this issue, an enhanced of K-Means algorithm called guided rank K-Means (G+RankK-Means) isproposed toachievebetterandmeaningful resultof ranking-based clustering. The proposed algorithmic setup is based on integration of rankingalgorithmthatsortobjectsintorankinglistwhichalsorepresentingobjectclosenessbasedon its nearby location. A new additional step in K-Means is proposed in reassigningunalignedK-Meansnearestobjectsusing rankingattribute thateventuallyaccelerates theclusteringprocess.AHPrankingalgorithmisintegratedintoK-Meansinachievingaranking-basedcluster.Thisenhancementwasevaluatedonthreeordinaldatasetscovering67Javaprograms, 92 students’marks on computer architecture subject and 456 EUFA’s footballclub coefficient ranking list. The results shows that by integrating ranking algorithm in K-MeansasproposedinG+RankK-Means,arankclusterrepresentationhasbeensuccessfullyachieved. The purity value that represents the correctness against certain groupclassificationhasalsoincreased.

Keywords:K-Means,Ranking-BasedClustering

39

AnAutomatedGradingSystemforDiabeticRetinopathyusingCurveletTransformandHierarchicalClassificationFanjiAriMukti,C.Eswaran,NoramizaHashim,HoChiungChing,MohamedUvazeAhamedAyoobkhan

FacultyofComputingandInformatics,MultimediaUniversity,Cyberjaya,MalaysiaE.mail:mohamed.sha33@gmail.com

In thispaper, anautomated system for grading the severity levelofDiabeticRetinopathy(DR) disease based on fundus images is presented. Features are extracted using fastdiscrete curvelet transform. These features are applied to hierarchical support vectormachine (SVM) classifier to obtain four types of grading levels, namely, normal, mild,moderate and severe. These grading levels are determined based on the number ofanomalies suchasmicroaneurysms, hardexudates andhaemorrhages that arepresent inthe fundus image. The performance of the proposed system is evaluated using fundusimagesfromtheMessidordatabase.Experimentresultsshowthattheproposedsystemcanachieveanaccuracyrateof86.23%.

Keywords: Curvelet Transform, SVM Classifier, Diabetic Retinopathy, Fundus Image,AutomatedScreeningSystem

40

AFuzzyTOPSISApproachforEvaluationonAccidentattheConstructionSite

NurnadiahZamri1,FadhilahAhmad1,AhmadNazariMohdRose1andMokhairiMakhtar1

1FacultyofInfomaticsandComputing,UniversitySultanZainalAbidin,TembilaCampus,22200Besut,Terengganu,Malaysia

The construction industry has been identified as one of themost risky industrieswhereinvolvesfatalitiesaccidents.Identifyingthecausesthatleadtotheaccidentsimplicatesalotofuncertainandimprecisecases.FuzzyTOPSISinvolvemoreuncertaintiesduetoFuzzySets(FSs)approach.Theyprovideuswithextrauncertaintyandfuzzinessoftherealsituations.In thispaper,weproposedaFuzzyTOPSIS (FTOPSIS)methodtohandleuncertainty in theconstructionproblems.Fivecriteriaandsixalternativesareusedtoevaluatethecausesofworkers’ accident at the construction sites. Data in form of linguistic variables werecollected from three authorised personnel of three agencies. From the analysis, it showsthat the FTOPSIS with Z-numbers provides us with another useful way to handle FuzzyMulti-CriteriaDecisionMaking(FMCDM)problemsinamoreintelligentandflexiblemannerduetothefactthatitusesZ-numberswithFTOPSIS.

Keywords:FTOPSIS,accidentsattheconstructionsites

41

IntelligentReplicationStrategyusingNeuralNetworkforHighAvailabilityinCloudEnvironment

M.Zarina1,NorihaHasni2,FadhilahAhmad3,WanNorShuhadahWanNik4,MustafaMatDeris5

1234DepartmentofComputerScience,FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,TerengganuMalaysia

5FacultyofInformationTechnologyandMultimediaUniversityTunHusseinOnnMalaysiaBatuPahat,Johor,Malaysia

Cloudcomputingsystemhasgaineditspopularityduetoitsabilitytoproduceefficientdatacenterstoragemanagement.Datacenterhastobeavailableregardlessoflargeamountsofdatarequest.Theperformanceofthesystemwillbedegradediflackofdatamanagementin the data center. Data replication is one of the strategies to ensure the data is alwaysavailable once it is needed. Thus, in this paper will propose an intelligent replicationstrategy inprivatecloudenvironmentusingNeuralNetwork (NN)FeedForwardandBackPropagationmethods.TheperformanceoftheproposestrategyisanalyzedbyusingacloudsimulatorcalledCloudsim.Adatacenter,virtualmachinesandcloudletsaretestedfortheirabilitytoproducereplicationbyapplyingFeedForwardNNforpatternrecognitionfollowedbyBackPropagationNNtotrainandproducetheRootMeanSquareError.Hence,theRootMean Square is used to produce data availability and the data availability is used as thetriggering factor in this replication strategy. The experimental result shows that theproposedstrategyhasreducedtheresponsetimeofreplicationprocessandenhancedtheavailabilityofthedataincloudcomputingsystem.

Keywords:CloudComputing,NeuralNetwork,Replication,DataAvailability,DataCenter

42

ImagePre-ProcessingModelforFicusdeltoideaJack(Moraceae)VarietalRecognition:ARepeatedPerpendicular

LineScanningApproach

AFakhriANasir1*,MNordinARahman2,NashriyahMat3,ARasidMamat4,AhmadShahrizanAbdulGhani51,5FacultyofManufacturingEngineering,UniversitiMalaysiaPahang,26600,Pekan,Pahang

2,4FaculyofInformatics&Computing,UniversitiSultanZainalAbidin,BesutCampus,22000Besut,Terengganu3FacultyofBioresourcesandFoodIndustry,UniversitiSultanZainalAbidin,BesutCampus,22000Besut,

Terengganu

Imagepre-processingtaskisconsideredasthefirstcrucialstepinplantspeciesrecognitionsystem. It is responsible to keep precision of feature measurement process. Manyresearchers have developed the image pre-processing model to remove petiole section.However,manymodelsaredevelopedbasedonsemi-automaticalgorithmwhichisbelievedto generate an inaccurate feature measurement. In this paper, a new technique ofautomatic petiole section removal is proposed based on repeated perpendicular petiolelengthscanningapproach.Fourphasesofpetioleremovaltechniqueinvolvedare:(i)binaryimage enhancement, (ii) boundary binary image contour tracing, (iii) petiole sectionscanning, and (iv) optimal image size retaining and cropping. The experiments areconductedusing six varieties of Ficus deltoidea Jack (Moraceae) leaves. Theexperimentalresults indicate that thesegmentation resultsare significantly reasonable since thedigitalleafimageshavelessthan1%ofsegmentationerrorsonseveralgroundtruthimages.

Keywords:PlantSpeciesRecognition,PetioleSectionRemoval,ImageProcessing,FicusDeltoideaJack(Moraceae).

43

ImprovedBatchBPalgorithmforspeedingupTimewithaccuracytrainingviaSignificantparameters

MohammedSarhanAl_Duais,FatmaSusilawatiMohamad,MumtazimahMohamad

FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,Terengganu,Malaysia

Abstract–ProblemStatement:Thebatchbackpropagation(BBP)algorithmisanewstyleforupdatetheweighttraining,butthemainproblemoftheBBPalgorithmisslowtrainingandthereareseveralparametersneedstobeadjustedmanually.Also, theBBPalgorithmsuffers fromsaturationtraining.The learningrate(LR)andmomentumfactor(MF) arethemostsignificantparameterforincreasingtheefficiencyoftheBBPalgorithm.Methodology:The objective of this paper is improving speed up the training of the BBP algorithm andremovesthesaturationtraining.Forthisobjective,wecreatedthedynamiclearningrate(DLR)anddynamicmomentum factor(DMF) for increasing theefficiencyof thealgorithm.WedenotetoaneworimprovedalgorithmbyDBBPLMalgorithm.Inthispaper,wepresenta dynamic algorithm (DBBPLM) algorithm which training or improved through dynamiclearningrateanddynamicmomentumfactor.Bothalgorithms,BBPandDBBPLMalgorithmwere implementedwithasigmoidfunction.XORproblem,balancedata,andthe iriswereused as benchmarks for testing the effects of the dynamic learning rate and dynamicmomentum factor thatwe created in this paper.All the experiments for both algorithmswere performed onMatlab 2012 a. The stop training or goal error was determined tenpower -5.Result: This study found that thedynamic learning rate andmomentum factorwithboundaryhadasignificanteffectonweightadjustmentforeachhiddenlayerandanoutput layer. From the experimental results, the DBBPLM algorithm provides superiorperformance in terms of faster training with accuracy training compared to the BBPalgorithmandwithexistingworks (latest studies).Conclusion: Themainobjectiveof thispaper isenhancementthespeeduptimeandaccuracytrainingofthe BBPalgorithmviadynamic learning rateanddynamicmomentum factor toget thenewalgorithmDBBPLM,whichhassuperiorperformance.Thedynamicparameterswithboundarywhichcreatedinthis paper helped the DBBPLM algorithm to escape the local minimum and eliminatetrainingsaturation,therebyreducingtrainingtimeandthenumberofepochsoriterations.The dynamic algorithmDBBPLMalgorithmwas achieving a superior level of performancecomparedtotheBBPalgorithm.

Keywords:DynamicLearningRate;DynamicMomentumFactor;BatchBack-PropagationAlgorithm;SpeedUpTraining,AccuracyTraining.

44

PARALLELSESSION2:C

45

AConceptualFrameworkonConstructingEffectiveLearningContentforProgrammingNovices

Swee-LingChean,Sin-BanHo,IanChai

FacultyofComputingandInformatics,MultimediaUniversity,63100Cyberjaya,Selangor,Malaysia

An e-learning systemprovides a platform for communicationbetween the educators andthestudents. Itfacilitatesthesharingof informationandlearningcontentinaformwhichcanbeeasilyaccessedby theusers. Ine-learningeducational systems,a learningcontentmanagement system (LCMS) is commonly used for developing and managing learningcontent.AnoverlycomprehensiveLCMSmightnot suit theneeds foralldomains suchaslearningprogrammingfornovicelearners.Teachingnoviceprogramminglearnersisnotaneasy task as mentioned in many studies. Complicated explanations and boring teachingmethods cause loss of interest in learning programming.Many educational studies havebeencarriedoutwithdifferentaspectsandapproaches to improve teachingand learningprogramming in school and tertiary levels of study. This paper proposes a conceptualframework for constructing effective learning content. It is challenging for Malaysianeducatorstodesignandpreparelearningcontentthatallowsprogrammingnovicestolearnattheirownpaceandskilllevels.Itisbelievedthataneffectivelearningcontentframeworkwouldbenefiteducatorswhointendtostartteachingprogrammingtonovices.

Keywords:LearningContentManagementSystem(LCMS),E-LearningContent,VirtualLearningEnvironment(VLE),Multimedia,Programming.

46

AFuzzyTOPSISwithZ-NumbersMethodforAssessmentonMemorandumofUnderstandingatUniversity

KhaleelYahiaAwajan1,NurnadiahZamri2

FacultyofInformaticsandComputing,UniversitySultanZainalAbidin,TembilaCampus,22200Besut,Terengganu,Malaysia.

Memorandum of Understanding (MOU) is the signing an agreement between universitywithotheruniversity.Ithasbeenknownasthepolicythatsharingdifferentcompetenciesinacademic between both Universities’ involved. Classifying the issues on choosing thesuitableuniversity,involvesalotofuncertainandvaguecases.FuzzyZ-numbersgivesmoreuncertainties compared to Fuzzy Sets (FSs). They provide us with additional degree offreedomtorepresenttheuncertaintyandfuzzinessinrealsituations.Theobjectiveofthispaper is toapplyaFuzzyTechnique forOrderPerformancebySimilarity to Ideal Solution(FTOPSIS) with Z-numbers to handle uncertainty for theMemorandum of UnderstandingCase. Five criteria and three alternatives are used to evaluate the decision from theuniversity’sexpert.Fromtheanalysis,itshowsthattheFTOPSISwithZ-numbersprovidesuswith an another useful way to handle Fuzzy Multi-Criteria Decision Making (FMCDM)problemsinamoreintelligentandflexiblemannerduetothefactthatitusesFTOPSISwithZ-numbers.

Keyword:FTOPSIS;Z-numbers;MOU.

47

AnImprovedIndoorLocationTechniqueusingKalmanFilter

NikFariz1,NorzianaJamil2,MarinaMdDin2,MohdEzaneeRusli21,2InstituteofInformaticsandComputinginEnergy,

UniversitiTenagaNasional(UNITEN),Malaysia

Indoor positioning technique is used to trace location of entities within a non-spaceenvironment riding from the incapability of GPS to do so. Most of indoor localizationtechniquesproposedbyresearchersaimedatdiscoveringanoptimizedsolutionforindoorlocationtrackingwithhighprecisionandaccuracy.Thispaperproposesanimprovedindoorlocation technique by implementing Trilateration and Kalman Filter technique that canmanipulatenoisesignal reduced fromrawReceivedSignalStrength Indicator (RSSI).Uponimplementing the technique, observation and comparison are made to measure theeffectiveness and reliability of enhanced Kalman Filter in tracking indoor positioning.Ouranalysis and finding shows that the enhanced indoor positioning techniquehas improvedtheaccuracytremendously.

Keywords:IndoorPositioningTechnique,KalmanFilter(KF),ReceivedSignalStrengthIndicator(RSSI),Trilateration

48

Resource as a Service Framework in Institut Pendidikan Guru Malaysia

WMKhairiWAwang1*,MNordinARahman21,2FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,

TembilaCampus,22000,Tembila,BesutTerengganu,Malaysia

Theissueofinformationorknowledgemanagementiscrucialforanyacademicinstitution.Convenient access to requested content is creating a competitive advantage for differenttypesofdecisions. Informationmanagementprocess in InstitutPendidikanGuruMalaysiaoften create problems because there is no systematic way of document storagemanagement.IPGlecturerskepttheirteachingmaterialsindifferentkindofmethods.Thissituationcauseinlossofresources,difficulttoretrieveandalsocannotbeidentifiedwhenit's needed. Dealing with large volumes of resources it is essential to use technologicalsolutionsthatenableflexiblestorage,retrieval,processingandinterpretinginformation.Tosolvetheproblems,thisarticleintroducedaframeworkthatusesasingleplatformnamedasInformationSharingforLearning(IS4L)formanagingteachingandlearningresources inIPG.Theresourcesareplannedtobemanagedundercloudplatformandcanbeaccessedatanytime.Theframeworkappliesthetechniqueofgamificationtomotivateandencourageusers to use the application and consequently will increase the volume of resourcesarchived. The developed application based on the proposed framework could help tomotivateandengagepeopletosharetheirresourcesandenhancethequalityofservicesinIPG. Finally, it could assist to improve the performance and effectiveness of services toachieveusers’satisfaction.

Keywords:ResourceAsAService,InformationManagement,IPG,InformationSharing,Gamification

49

ADecisionTreeBasedRecommenderSystemforBackpackersAccommodations

MaizanMatAmin,JanniferYepAiLan,MokhairiMakhtarandAbdRasidMamat

FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,BesutCampus,22200,Besut,Terengganu,Malaysia

Abstract: Backpackers often travel for a longer period of time, have their own budgets andrequirementsonaccommodations.Theexistingsystemsdonotofferpersonalizedrecommendationcriteria and someproposed inefficient recommender system (RS) for users.Moreover, other thaninformationsearching fromwebsitesandbloggers,only limitedsystemswerespecificallydesignedfor backpackers’ accommodations recommender system. An observation and online survey wasconductedtogettheinformationfrombackpackersregardingtheirpreferenceswhilelookingfortheaccommodations. Fifty (50) respondents were involved in the survey and the data have beenanalyzedandwereclassifiedtobuildadecisiontree.Thedecisiontreemodelthenimplementedinthe Backpackers’ accommodations Recommender System (BRS). BRS offers a convenientway andsolution for backpackers by including decision tree technique in the system to suggest bestaccommodationssuittobackpacker’spreferences.Keywords:Model,RecommenderSystem,DecisionTreeTechnique,Backpackers’Accommodations

50

NETWORKTRAFFICANALYSISANDTROUBLESHOOTING

USINGRASPBERRYPIMuhammadNurHaziqBinMohdSafri,WanNorShuhadahWanNik,ZarinaMohamad

Inthepastfivedecadescomputernetworkhaskeptupgrowing,thecomplexityofitandthe

numberofusersthatuseitalsoisbeingincreasedfromtimetotimes.Becauseofthat,the

amountofnetworktrafficthatflowingovertheirnodeshasincreaseddrastically.Therefore,

themanagement,maintenance,andmonitoringofthenetworkisreallyimportanttokeep

the network smooth. Network traffic analysis is the process of recording, reviewing, and

analyzing the packet in the network traffic for the performance purpose. Network traffic

sometimescanbetoobusywith thepacketwherecanseeat theuniversity; thenetwork

traffic is very busybecause there are a lot of students in theuniversity use the Internet.

With all this condition, network performance can be so bad without knowing the real

problem.Inthispaper,Iwouldliketotracktheperformanceofthenetworktrafficproblem

by using packet analyzer which is Tshark and to generate the alert. Tshark is a network

protocol analyzers that capture packet data from a live network, or read packets from a

previously saved capture file, either printing a decoded form of those packets to the

standardoutputorwritingthepacketstoafile.Therefore,whenthenetworktrafficisslow

ordown,sotheTsharkwillanalyzethenetworktraffic,andthealertwillbegenerated.

51

DeficiencyofFiniteDifferenceMethodsforCapturingShockWavesandWavePropagationOverUnevenBottomSeabed

MohammadFadhliAhmad1,MohdSofiyanSulaiman1,MohdAzlanMusa1

1SchoolofOceanEngineering,UniversityMalaysiaTerengganu,21300KualaTerengganu,Malaysia

The implementationof finitedifferencemethod is used to solve shallowwater equationsundertheextremeconditions.ThesecasessuchasdambreakandwavepropagationoverunevenbottomseabedareselectedtotesttheordinaryschemesofLax-FriederichsandLax-Wendroff. The test cases include the source term forwave propagation andwithout thesource term for dam break. For the case of dam break, the two steps of Lax-Friederichsscheme produce non-oscillation numerical results, however, suffering with some ofdissipation.Unlike,thetwostepsofLax-Wendroffschemeproduceaverybadoscillation.Itseemsthatthesenumericalschemescannotsolvetheproblematdiscontinuitiesitleadstovery much oscillation and dissipation. Similarly for wave propagation, inaccurateinformation of free surface and velocity are produced by the scheme due to the unevenseabed profile. Therefore it is suggested to improve the schemes if wanted to deal withthesesituationsorapplyothernumericalapproachsuchfinitevolumemethod.

Keywords:NumericalSchemes,DamBreak,FiniteDifferenceMethod,WavePropagation

52

InvestigationofWaveOvertoppingwithVariousGeometricalConfigurationsofRampsAppliedatCoastal

Breakwater

MohammadFadhliAhmad1,MohdAzlanMusa1,NorAieniMokhtar1,AhmadJusoh11SchoolofOceanEngineering,UniversityMalaysiaTerengganu,21300KualaTerengganu,Malaysia

Breakwaterisoftenrequiredtoreducethewaveenergytoprotectbeacherosion.Thewaveovertopping the breakwater will determine an adequate design as coastal defence. Thecommondesignpracticeofbreakwatertoprotectbeachisconstructedalinearrampcross-sectionandsizingarmourstone.Besidesthefunctionofwaterbreaker,theenergypowertakeofffromthebreakwaterisstudiedbyinvestigatingthequantityofthewaterdischargefrom the wave overtopping through several of ramp geometries. Three configuration oframp geometries as convex, concave and cubic are investigated with difference crestfreeboardusingCFD-Flow3D.Theresultindicatesthegeometryinfluencestheovertoppingrateand thehighestovertopping rate is contributed fromthecubic shapegeometry. It isrecommendedthatthebreakwaterwithcubicrampshapecouldbethemostbeneficialduetohighestcollectionofwaterinthereservoir.

Keywords:OvertoppingWave,BreakwaterRamp,CFD-FLOW3D

53

PARALLELSESSION3:A

54

AnAnalysisofLargeDataClassificationusingEnsemble

NeuralNetwork

MumtazimahMohamad*1,WanNorShuhadahWanNik1,ZahrahtulAmaniZakaria1andArifahCheAlhadi,21FacultyofInformaticsandComputing,UniversitySultanZainalAbidin,BesutCampus,22200Besut,

Terengganu,Malaysia2SchoolofInformaticsandAppliedMathematics,UniversityMalaysiaTerengganu,MengabangTelipot,21030

KualaNerus,Terengganu

Inthispaper,operationalandcomplexityanalysisareinvestigatedforaproposedmodelofensembleArtificialNeuralNetworks (ANN)multiple classifiers. Themain idea to this is toemploy more classifiers to obtain more accurate prediction as well as to enhance theclassificationcapabilitiesincaseoflargerdata.Theclassificationresultanalysedbetweenasingle classifier and multiple classifiers followed by the estimates of upper bounds ofconverged functionalerrorwith thepartitioningof thebenchmarkdataset.Theestimatesderived using Apriori method shows that proposed ensemble ANN algorithm with adifferentapproachisfeasiblewheresuchproblemwithahighnumberofinputsandclassescanbesolvedwithtimecomplexityofO(n^k)forsomek,whichisatypeofpolynomial.Thisresultisinlinewiththesignificantperformanceachievedbydiversityruleappliedwiththeuseofreorderingtechnique.Asaconclusion,anensembleheterogeneousANNclassifierispractical and relevance to theoretical and experimental of combiners for ensemble ANNclassifiersystemsforlargedataset.Keywords: Complexity Approximation, Ensemble Neural Network, Classification, NeuralNetworkClassifier,LargeData.

55

ConceptualFrameworkforStockMarketClassificationModelUsingSentimentAnalysisonTwitterBasedonHybrid

NaïveBayesClassifiers

GhaithAbdulsattarA.JabbarAlkubaisi1,AssociateProfessorDr.SitiSakiraKamaruddin2,Dr.HusnizaHusni31PhDCandidate,SchoolofComputing,CollegeofArtsandSciencesofUniversitiUtaraMalaysia,Sintok06010,

Malaysia2AssociateProfessor,SchoolofComputing,CollegeofArtsandSciencesofUniversitiUtaraMalaysia,Sintok

06010,Malaysia3SeniorLecturer,SchoolofComputing,CollegeofArtsandSciencesofUniversitiUtaraMalaysia,Sintok06010,

Malaysia

Sentiment analysis has gained a lot of importance in last decade especially on theavailability of data from Twitter that has createdmore interest for research in this field.Nevertheless, stock market classification models still suffer less accuracy and this hasaffectednegativelythestockmarket indicators. Inthispaper,anewframeworkrelatedtosentimentanalysisfromTwitterpostsisproposed.Theproposedframeworkrepresentsanimproveddesignofclassificationmodelthatworkstoimprovetheclassificationaccuracytosupport decisionmakers in thedomainof stockmarket exchange. Thismodel startswithdatacollectionpartandinsecondphasefiltrationisdoneondatatogetonlytherelevantdata.Themostimportantphaseisthelabellingpartinwhichpolarityofdataisdeterminedandnegative,positiveorneutral valuesareassigned to statementsofpeople. The fourthpart istheclassificationphaseinwhichsuitablepatternsofstockmarketwillbeidentifiedbyhybridisingNBCs.Thelastphaseisperformanceandevaluation.ThisstudyproposestoaHybrid Naïve Bayes Classifiers (HNBCs) as a machine learning method for stock marketclassification,hencerepresentsausefulstudyforinvestors,companiesandresearchersandwillhelpthemtoformulatetheirpoliciesaccordingtosentimentsofpeople.

Keywords: Sentiment Analysis, Twitter, Stock Market Classification Model, ClassificationAccuracy,NaïveBayesClassifiers.

56

PredictingNetworkFaultsusingInternetUsageData

JiShengTan1,ChinKuanHo1,AmyHuiLanLim1,MohdRizalbinMohdRamly2

1FacultyofComputingandInformatics,MultimediaUniversity,PersiaranMultimedia,631000Cyberjaya,Selangor,Malaysia.

2TelekomMalaysia,MenaraTM,JalanPantaiBaharu,50672KualaLumpur,Malaysia.

TheInternetisanenablingtechnologythatassistsdailyandbusinessactivities.However,anetwork fault could prevent the user from accessing the internet thus creating troubletickets.Ideally,accuratepredictionpriortonetworkfaultallowsthetelcotorespondbeforethecustomerraisesatroubleticket.Currentresearchfocusesonforecastingthequantityoftroubleticketusinghistoricaltroubleticket.Toimprovethepredictionofnetworkfault,thecustomer trouble ticket data is augmented to include internet usage data and signalmeasurement data. Random Forest (RF) and C5.0 Decision Tree algorithms are used toderive predictive models. Experiment results reveal that RF shows higher AUC score ascompared to C5.0Decision Tree. RF is able to identify the important featureswhile C5.0Decision Tree is able to list decision rules that describe the relation among selectedfeatures.Keywords:Telecommunication,BroadbandNetwork,NetworkFault,Prediction,RandomForest,C5.0DecisionTree.

57

PerformanceComparisonofNeuralNetworkTrainingAlgorithmsforModelingCustomerChurnPrediction

MohdKhalidAwang1,MohammadRidwanIsmail2,MokhairiMakhtar3,MNordinARahman4,AbdRasidMamat5

1,2,3,4,5FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,BesutCampus,

22200Besut,Terengganu,Malaysia

Predicting customer churn has become the priority of every telecommunication serviceproviderasthemarketisbecomingmoresaturatedandcompetitive.Thispaperpresentsacomparisonofneuralnetworklearningalgorithmsforcustomerchurnprediction.Thedatasetusedtotrainandtesttheneuralnetworkalgorithmswasprovidedbyoneoftheleadingtelecommunication company inMalaysia. TheMultilayer Perceptron (MLP) networks aretrained using nine (9) types of learning algorithms, which are Levenberg Marquardtbackpropagation (trainlm), BFGS Quasi-Newton backpropagation (trainbfg), ConjugateGradient backpropagation with Fletcher-Reeves Updates (traincgf), Conjugate Gradientbackpropagation with Polak-Ribiere Updates (traincgp), Conjugate Gradientbackpropagation with Powell-Beale Restarts (traincgb), Scaled Conjugate Gradientbackpropagation (trainscg), One Step Secant backpropagation (trainoss), BayesianRegularization backpropagation (trainbr), and Resilient backpropagation (trainrp). Theperformanceof theNeuralNetwork ismeasuredbasedon thepredictionaccuracyof thelearningandtestingphases.LMlearningalgorithmisfoundtobetheoptimummodelofaneuralnetworkmodelconsistingoffourteeninputunits,onehiddennodeandoneoutputnode. Thebest result of the experiment indicated that thismodel is able to produce theperformanceaccuracyof94.82%.

Keywords: Neural Network Learning Algorithm, DataMining, Customer Churn Prediction,MultilayerPerceptron.

58

AStudentPerformancePredictionModelUsingDataMiningTechnique

RohailaAbdulRazak1,MazniOmar2,MazidaAhmad3

1KolejPoly-TechMARA,rohaila@gapps.kptm.edu.my

2UniversitiUtaraMalaysia,mazni@uum.edu.my

3UniversitiUtaraMalaysia,mazida@uum.edu.my

3UniversitiUtaraMalaysia,mazida@uum.edu.my

ABSTRACT.Predictingperformanceisverysignificantintheeducationworldnowadays.Thispaperwilldescribetheprocessofdoingapredictionofstudentperformancebyusingdatamining technique. 257 data sets were taken from the student of semester 6 KPTM thatinvolved four (4) academic programs which are Diploma in Computer System andNetworking, Diploma in Information Technology, Diploma in Business Management andDiplomainAccountancy.KnowledgeDiscoveryinDatabase(KDD)wasusedasaguidetotheprocessoffindingandextractingaknowledgefromthedataset.Adecisiontreeandlinearregressionwereusedtoanalyzethedatasetbasedonvariablesselected.Thevariablesusedare Gender, Financing, SPM, GPASem1, GPASem2, GPASem3, GPASem4, GPASem5 andCGPA as a dependent variable. The result from this indicate the significant variable thatcontribute most to the students’ performance. Based on the analysis, the decision treeshowsthatGPASem1hasastrongsignificanttotheCGPAfinalsemesterofthestudentandthepredictionaccuracyis82%.ThelinearregressionshowsthattheGPAforeachsemesterhas a highly significant with the dependent variable with 96.2% prediction accuracy. Byhaving this information, the management of KPTM can make a plan to ensure that thestudentcanmaintainagoodresultandatthesametimetomakeastrategicplansforthosewithoutagoodresult.Keywords:Datamining,KnowledgeDiscovery inDatabase,Prediction,Studentperformance,Decisiontree

59

TextRepresentationSchemesandSimilarityMeasuresforSentences:AComparativeAnalysis

SitiSakiraKamaruddin,YuhanisYusof,NurAzzahAbuBakarandMohamedAhmedTayieSchoolofComputing,UniversitiUtaraMalaysia,06010UUMSintok,Kedah,Malaysia

Textualdataarearichsourceofknowledge;hencesentencecomparisonhasbecomeoneoftheimportanttasksintextminingrelatedworks.Mostpreviousworkintextcomparisonareperformedatdocumentlevel,researchsuggestthatcomparingsentenceleveltextisanon-trivial problem. One of the reason is two sentences can convey the samemeaningwithtotallydissimilarwords. Thispaperpresentstheresultofacomparativeanalysisonthreerepresentationschemes i.e. termfrequency inversedocumentfrequency,LatentSemanticAnalysis andGraphbased representationusing three similaritymeasures i.e. Cosine,DicecoefficientandJaccardsimilaritymeasuretocomparethesimilarityofsentences. ResultsrevealthatthegraphbasedrepresentationandtheJaccardsimilaritymeasureoutperformstheothersintermsofprecision,recallandF-measures.

Keywords: Text Representation, Text SimilarityMeasure, Tf-Idf, Latent Semantic Analysis,GraphBasedRepresentation.

60

PortableDistributedDenialofService(DDoS)ByUsingSNORT

MohdSufianMatDeris,AiduraSamsudin,SitiDhalilaSatar,AhmadFaisalAbidin,AhmadNazariMohdRoseFacultyInformaticsandComputing,UniversitiSultanZainalAbidin,Malaysia.

In this technology era, Distributed Denial of Service (DDoS) attacks has become amajorsecuritythreatto Internetservices.DDoSattack isagreatattacktonetworksecurity. It isdifficulttoquicklydetectthistypeofattackwith low-levelsecurity.Thefloodof incomingpacketstothemachineessentiallyforcesittoshutdown,thustheservicetothelegitimateusersisdenied.Thetypesofdetectioncanbesignaturedetectionoranomalydetection.Inthisproject,aDDoSdetectionmethodusingSnortisproposedandSnortisimplementedinRaspberryPi tomake itportable.Byusing thisproposeddetectionmethod,DDoSattackscanbeeffectivelydetected.

Keywords:DDoSattack,SNORT,RaspberryPi

61

PARALLELSESION3:B

62

UsabilityTestingonGameInterfaceDesignUsingVideo-basedBehaviorAnalysis

IbrahimAhmad1,NorhaidaMohdSuaib,2,NazreenAbdullasim,31,3UniversitiTeknikalMalaysiaMelaka,DurianTunggal,76100Melaka,Malaysia

2UniversitiTeknologiMalaysia,Skudai,81310Johor,Malaysia

Theobjective of this study is to quantitatively incorporate user observation into usabilityevaluation of game interface design using monitoring techniques. In this study, anexperimentwasconductedtomonitorandrecordusers'behaviorusingbuiltinvideo-cam.Theexperimentwasdoneaftertheuserplay“AGaruda”game.Allthecharactermovementcontrolledbyuserwerecapturedandrecordedforcomparativeanalysis.Therewereabout20people involvedasasubject forthisexperiment.TheDatafromvideorecordingswerecoded with Noldus Observer XT in order to find usage patterns and thus to gatherquantitativedataforanalyzingtheGUIeffectiveness,efficiencyandsatisfaction.Theresultofuser's interactiontowardsthedesignofgame'sGUIable togiveadditional informationforthegamedesignertodevelopabetterresponsivegametowarditsusability.Theeffectofuser's control andemotion that canbe seen fromuser's facewill give the informationneeded to be considered in game development. Previous studies mostly focusing onevaluatingtheusabilitywithperformancemeasuresbyonlylookingattaskresults.Ontheother hand, our study is about suggesting amethodby evaluating behavioral patterns ofinteractioninstead.

Keywords:User-observation,Usability,GameDesign

63

TARogic:TangibleAugmentedRealityGameAlbertQuek1,KahTongLee1

1FacultyofComputingandInformatics,MultimediaUniversity,Cyberjaya,Selangor,Malaysia

AugmentedReality(AR)hasbeenaroundforthepastdecade.Ithasbeenappliedinmanyfields, andoneof the common fields is ineducation. In thispaper,wehavemakeuseofTangibleAugmentedRealitytechnologyincreatinganinteractivegamecalledTARogicthatteaches students on the basic of programming logics. Tangible Augmented Reality is acombinationofAugmentedReality(AR)technologyandTangibleUserInterface(TUI)whichusesrealenvironmentobjectstointeractwiththeAugmentedReality(AR)environment.Inthisproject,wehavecreatedahardwareconsolethatusesUSBdriveasatangibleelementto interact with the game. The USB drive is plug on to the console (Arduinomodule) totransfer the informationof the game input to a smartphone viaBluetooth. Theoutput isdisplayed on the smartphone in the form of Augmented Reality (AR) game objects andenvironment. By qualitative user evaluation of two groups of participants, 10 for eachgroups, 60% of the participants were positive with the overall learning experience usingTARogic.Keywords:TangibleAugmentedReality, InteractiveEducationalgame,AugmentedReality,TangibleUserInterface.

64

Onmyouji:Gesture-BasedVirtualRealityGameAlbertQuek1,KahWengChou1,HuiHongYew1

1FacultyofComputingandInformatics,MultimediaUniversity,Cyberjaya,Selangor,Malaysia

As computers and smartphones become more pervasive in society, there have been agrowing interest in the development for bridging the human-computer barrier.With theemergenceofVirtualReality(VR),user’ssensesaretakenintoconsiderationinachievinganatural and intuitive human-computer interaction (HCI) aswell for amore effective datainteraction.TheconventionalkeyboardandmouseinterfaceandcontrolmethodsofVRnolonger sufficiently handles the richness of the information and facilitate intuitive userinteraction in the virtual environment. There are alternative controllers such as motioncontroller used in the game but this burden users for having them to hold a controllerduring gameplay. Hand gestures are a powerful tool for communication among humans.Thus, hand gestures recognition has the potential to achieve the naturalness andintuitiveness for HCI. In this paper, we have proposed a VR game implemented a set ofsimple gestureswith LeapMotion controller, namedOnmyouji. Onmyouji emphasizes onthe VR experience provided with utilizing hand gestures tomove and cast attack as theplayercontrol.Asetofgesturesaredesignedtofulfillthenaturalnessandintuitivenessofcontrolsinthegame.Byqualitativeuserevaluationonatargetinterestgroup,mostoftheparticipants evaluated positively on the intuitive gestures and gameplay. For the overallgameexperience,allparticipantsrated4and5outof5scores.Keywords:Gesture-basedgame;VirtualReality;Gesturemechanics;Intuitivegesture,LeapMotion.

65

CloudBasedGamificationModelCanvasFrameworkforSchoolInformationManagement

JazurainifarizaJaafar,MNordinARahman,MFadzilAKadir,SyadiahNorShamsuddinandSyarillaIryaniASaany

FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,TembilaCampus,22200,Tembila,Besut,Terengganu,Malaysia

Information management especially related to teaching and learning materials is animportant application in school in order to bring education system more effective andsystematic.Moderneducation requires fundamental changes in currenteducation systemplatformforensuring teachingmethodbecomesmoreefficient.Thechallengesofcurrentschool informationmanagementarenon-integratedsystem,difficulty inconfigurationanddeploymentaswellascomplexityofstorageprovision.Theseissuesreducethemotivationamong teachers to participate in sharing teaching and learning materials in schoolinformation management system. This article proposes a gamification model canvasframework for school informationmanagementundercloudcomputingenvironment.Theaimistoprovideamethodforencouragingtheteacherstosharetheirteachingmaterials.Motivation element provided in model canvas method such as dynamics, behavior,component and aesthetic are used in the proposed framework. With the proposedframework,acloudbasedprototypewillbedevelopedandcanbeusedbyschools.Keywords:CloudComputing,Gamification,SchoolInformationManagement,Motivation.

66

MindMappingApproachinLearningIslamicHistory

AkmalDhiyauddin#,SuzanaAhmad*,MarinaIsmail##FacultyScienceComputerandMathematic,UniversitiTeknologiMARAShahAlam40450SelangorMalaysia

E-mail:dhiyauddinakmal4@gmail.com;suzana@tmsk.uitm.edu.my;marina@tmsk.uitm.edu.my

Abstract—Currently,mostMalaysian teenagersknowvery littleabout Islamichistoryandits civilizations. Although Islamichistoryandcivilizationsare coveredbriefly inMalaysianschoolsyllabus,appreciationtowardsthesubjectisverylittle.Thisisbecauseoftraditionalapproachof learning Islamichistorydoesnotappealingenough for the students toenjoyandunderstandthesubjectmatter.Thecapabilityofnewpowerfulmultimediatoolshaveenableanimprovedapplicationstobedevelopedinordertofacilitateabetterteachingandlearning environment. Nevertheless, anticipation ofmental abilities is also significant toengage a better learning process. Due to thismatter, a ‘MindMapping’ approach alongwiththetheoreticalfoundationsofteachingandlearningtasksarestudiedandadaptedinthe IslamicHistory courseware development. The developed coursewarewas testedwith(n=10)foritseffectivenessanduserexperience.Theoutcomeyieldedpositiveresultsbasedontheuniqueandinterestingdesign.Keywords—Multimedia;EducationalCourseware;MindMapping;IslamicHistory

67

JointControllerMethod:Applicationin3DHumanoidStyleDeformation

IsmahafeziIsmail1,FarisA.Abuhashish2,SyadiahNorWanShamsuddin1,MaizanMatAmin1,MohdKufaisalMohdSidik3

1CenterofLearningforMultimedia,FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,Malaysia

2FacultyofComputerStudies,ArabOpenUniversityAmman-Jordan3V3XMalaysiaSdnBhd,JohorBharu,Malaysia

Realistic3Dhumanoidstyledeformation isanattractivetopicespecially for the industriesdeveloping computer animations and games. Calculating the correct position style is achallengingtaskdueto3Dhumanoidcomplexdimensionaldata.Axisofinterestandangleof rotation are two parameters measured in this real-time application. The maincontribution of this article is through the development of joint controller method forcontrollingbodyposition,orientationandjointrotationtoproducestyledeformation.Thismethod allows the deformation of new 3D humanoid styles by users using a simpleinterface control. This style joint controller method can help researchers to setup theirmotioneditorandsynthesissystem.Keywords:ComputerAnimationandGames,3DHumanoid,PoseDeformation

68

Time-basedSimplifiedDenavit-HeartenbergTranslation(TS-DH)forCapturingFingerKinematicDatainVirtualStroke

FineMotorRehabilitation

MohdAmirIdzhamIberahim1,SyadiahNorWanShamsuddin1,MokhairiMakhtar1,MohdNordinAbdulRahman1,NordinSimbak2

1FacultyofInformaticsandComputing,UniversityofSultanZainalAbidin(UniSZA),Malaysia2FacultyofMedicine,UniversityofSultanZainalAbidin(UniSZA),Malaysia

Virtual finger model is commonly used in many application for stroke fine motorrehabilitation especially in Virtual Reality(VR) application. Capturing movement data forfingers is one of the important phase in any virtual fine motor rehabilitation process.Manual observation will provide inconsistent evaluation though different therapist fordifferentrehabilitationsession.Althoughaprocessofcapturingdataisbeingmade,withouttime series of captured data, the data will not have a significant impact in producingconsistent and meaningful evaluation. Furthermore, the assessment consistency ofrehabilitationsessionwilldelivermorerobust rehabilitationprogressanalysis.Thisdata isveryusefulwhenpairedwith time informationwhich canbe analysis toproduceoptimalevaluation.ThispaperproposesTime-basedSimplifiedDenavit-HeartenbergTranslation(TS-DH)consistsofforwardkinematicwithsimplifiedDHparameterforcapturingcoordinateofendofeachbone fromvirtual fingermodelpairedwith timeframedata.TheDHmodel isenhancedbyimplementing2additionalrulesinassigningjointparameter.Thedatawillberecordedwith timeframe of every fingermovement. As conclusion, TS-DHmodel can beusedinanyvirtualfingerenvironmentaccurately.

Keywords:DHParameter,ForwardKinematic,StrokeRehabilitation,FineMotor

69

PARALLELSESSION3:C

70

SolvingExaminationTimetablingProbleminUniSZAusingAntColonyOptimisation

AhmadFirdausKhair1,MokhairiMakhtar2,MunirahMazlanr3,MohamadAfendeeMohamed4,MohdNordinAbdulRahman5

1,2,3,4,5UniversitiSultanZainalAbidin,FacultyofInformaticsandComputing,21300Terengganu,Malaysia

Atalleducationalinstitutions,timetablingisaconventionalproblemthathasalwayscausednumerous difficulties and demands that need to be satisfied. For the examinationtimetablingproblem,thosematterscanbedefinedascomplexityinschedulingexameventsornon-deterministicpolynomialhardproblems(NP-hardproblems).Inthisstudy,thelatestapproachusinganantcolonyoptimisation(ACO),whichistheantsystem(AS),ispresentedto find an effective solution for dealing with university exam timetabling problems. Thisapplication isbelieved tobean impressive solution that canbeused toeliminatevarioustypesof problems for thepurposeof optimising the schedulingmanagement systemandminimising thenumberof conflicts. Thekeyof this feature is to simplify and find shorterpaths based on index pheromone updating (occurrence matrix). By designing theappropriatealgorithmandusingefficienttechniques, improvementfortheoptimisationofscheduleallocationandassignationwasobtained.Theapproachisappliedaccordingtothedatasetinstancethathasbeengathered.Therefore,performanceevaluationandresultareused to formulate theproposedapproach. This is todeterminewhether it is reliable andefficientinmanagingfeasiblefinalexamtimetablesforfurtheruse.

Keywords: Examination Timetabling, Scheduling, Ant Colony Optimization, Ant System,Optimisation.

71

AnalyzingPerformanceofClassifiersforMedicalDatasets

MokhairiMakhtar1*,RosaidaRosly1,MohdKhalidAwang11FacultyofInformaticsandComputing,UniversitiSultanZainalAbidin,Terengganu,Malaysia

Data mining is the process of extracting essential data from large data sets to identifypatterns and establish relationships in order to solve problems through data analysis.Medical data is of abundance, yet information is extremely poor. Due to that effectiveanalysis tools are needed for retrieving hidden relationships from the data. This paperanalyses the performance of classification models using two medical datasets which areBreast Cancer Wisconsin and Hepatitis data sets. This paper presents a comparison ofdifferent classifiers based on a 10-fold cross validation using a data mining tool. In thisexperiment,variousclassifiersareimplementedincludingthreepopularensemblemethodswhichareboosting,bagging,andstackingforthecombination.TheresultshowsthatfortheclassificationoftheBreastCancerWisconsindataset,thesingleclassificationofNaïveBayes(NB) and a combination of bagging+NB algorithm displayed the highest accuracy at thesamepercentage(97.51%)comparedtoothercombinationsofensembleclassifiers.Fortheclassification of the Hepatitis data set, the result showed that the combination ofstacking+Multi-LayerPerception(MLP)algorithmachievedahigheraccuracyat86.25%.Byusing the ensemble classifiers, the result may be improved. In future, a multi-classifierapproachwillbeproposedbyintroducingafusionattheclassificationlevelbetweentheseclassifierstoobtainclassificationwithhigheraccuracies.Keywords:Classificationmodel,datamining,medicaldataset

72

AntColonyOptimisationforSolvingUniversityCourseTimetablingProblems

MunirahMazlan1,MokhairiMakhtar2,AhmadFirdausKhairAhmadKhairi3,MohamedAfendeeMohamed4,MohdNordinAbdulRahman5

1,2,3,4,5UniversitySultanZainalAbidin,FacultyofInformaticsandComputing,Terengganu,Malaysia

Course timetabling is one of the most important activities faced by any educationalinstitution.Furthermore,thecoursetimetablingprocessistime-consumingandtiresomeasitneedstobepreparedforeachregularsemester.ThispaperaimstoapplytheAntColonyOptimisation (ACO)method to solve the course timetabling problem. This approach is tooptimise the properties of the course requirement andminimise various conflicts for thetime slot assignation. This method is based on the life of the ant colony in generatingautomatic timetabling according to the properties (pheromones), such as time, student,lecturer,androom,besidessatisfyingtheconstraints.Theimplementationofthismethodisto find an effective and better solution for university course timetabling. The result andperformances are compared between the proposed method and the manual method inordertodeterminewhichmethodissuitableinprovidingthefeasibletimetable.

Keywords:CourseTimetabling,AntColonyOptimization,Constraints,Optimization,AutomaticTimetabling

73

Filter-BasedGeneSelectionMethodforTissuesClassificationonLargeScaleGeneExpressionData

FarzanaKabirAhmad,YuhanisYusof,NoorainiYusoffSchoolofComputing,UniversitiUtaraMalaysia

06010Sintok,Kedah,Maalaysia

DNAmicroarraytechnologyisacurrentinnovativetoolthathasoffersanewperspectivetolook sight into cellular systems and measure a large scale of gene expressions at once.Regardless the novel invention of DNA microarray, most of its results relies on thecomputational intelligencepower,which isusedto interpretthe largenumberofdata.Atpresent,interpretinglargescaleofgeneexpressiondataremainathought-provokingissuedue to their innatenatureof “highdimensional lowsample size”.Microarraydatamainlyinvolvedthousandsofgenes,ninaverysmallsizesample,p.Inaddition,thisdataareoftenoverwhelmed, over fitting and confused by the complexity of data analysis. Due to thenatureofthismicroarraydata,itisalsocommonthatalargenumberofgenesmaynotbeinformativeforclassificationpurposes.Forsuchareason,manystudieshaveusedfeatureselection methods to select significant genes that present the maximum discriminativepower between cancerous and normal tissues. In this study, we aim to investigate andcompare the effectiveness of these four popular filter gene selection methods namelySignal-to-Noise ratio (SNR), Fisher Criterion (FC), Information Gain (IG) and t-Test inselecting informative genes that candistinguish cancer andnormal tissues. Two commonclassifiers, Support VectorMachine (SVM) andDecision Tree (C4.5) are used to train theselected genes. These gene selection methods are tested on three large scales of geneexpression datasets, namely breast cancer dataset, colon dataset, and lung dataset. ThisstudyhasdiscoveredthatIGandSNRaremoresuitabletobeusedwithSVMwhileIGfitforC4.5.Inacolondataset,SVMhasachievedaspecificityof86%withSNRwhileand80%forIG.Incontract,C4.5hasobtainedaspecificityof78%forIGontheidenticaldataset.TheseresultsindicatethatSVMperformedslightlybetterwithIGpre-processeddatacomparetoC4.5onthesamedataset.

Keywords: Bioinformatics; Feature Selection; High Dimensional Data; Support VectorMachine

74

SocialSpiderOptimizationAlgorithmforDimensionReductionofElectroencephalogramSignalsinHuman

EmotionRecognition

AbdullahYousefAl-Qammaz,FarzanaKabirAhmad,YuhanisYusof1SchoolofComputing,UniversitiUtaraMalaysia,06010Sintok,Kedah,Malaysia

abdullah_alqammaz@ahsgs.uum.edu.my; farzana58@uum.edu.my; yuhanis@uum.edu.my

Currently,humanemotionalchangescanbecertainlymonitoredandanalyzedthroughtheElectroencephalogram(EEG)signals.Asresults,variousemotionrecognitioncomputationaltechniques are used to detect the human emotions. However, automatic recognition ofhuman emotions based on EEG signals is usually restricted due to a small number ofemotionsclassesandnoisysignal’sfeatures.Moreover,suchsignal’sfeaturesoftenleadtocursedimensionalityproblem