Jurnal : Mamdani Fuzzy Model for Learning Activities Evaluation - Skripsi Teknik Informatika

Jurnal : Mamdani Fuzzy Model for Learning Activities Evaluation

(Jurnal Teknik Informatika)

ABSTRACT

The  intent  of  this  paper  is  to determinethe  extent  to  which fuzzy  model  could  suitably modelled  learner  activitiesinE-learning  system.  However,  the  paucity  of  public  dataset  that meet  the exact  requirement  of  this  work poseschallenges, which necessitatedataset simulation. The detail approach used for the dataset simulation and the fuzzy model were discussed. Construction of the Inference Mechanism using the Relational Calculus  and  Mamdani  approaches  were  demonstrated.  The performance   of the simulated   model   in   MATLAB   was measured  using  classifier  uncertainty  and  confusion  based metrics.  The  Mean  Absolute  Error  (MAE)  is 10.45;Root Mean  Square  Error  (RMSE)  is  8.71.  The  result  shows  that Fuzzy logic (White-Box Model) has alow classification error and invariably a   higher   accuracy   for   estimating   learner activities.    Subsequently,    the    result    obtained    shall    be revalidated  using  live  dataof students’ activities in an online course.     Furthermore,     the current  Mamdani’s  model performance    shall    be    compared    with its equivalent Neuro_Fuzzy  Model.  The  more  efficient  of  the  two  models shallbe the  choice  for  integration into an  Open  Source Learning    Management    System    for    automatic    learning activities evaluation.

1.INTRODUCTION

Learner’s  attitude  and  behaviour  to  studies  are  valuable pointers to the expected cognitive performance of the students in  an  educational  system.  Conventionally,  teachers  directly observelearners   attitude   to   study   and   keep   monitored activities   information   in   school   records.   Some   of   the parameters used for the attitude and behaviour in this context include    percentages    of    class    attendance,    regularity    of assignment  submissions  and  quality  ofparticipation  in  class activities  among  others.  These  observed  behaviours  are  great contributors   to   students   test   and   evaluation   [12].   The challenges  with  the  conventional  approaches  in  the  area  of data gathering, objective data analysis and application limit its adoption   and   usefulness.   However,   the   advancement   in Information   and   Communication   Technology   (ICT),

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Kata Kunci : Jurnal Mamdani Fuzzy Model, sistem pendukung keputusan, SPK, Jurnal Teknik Informatika, Jurnal Skripsi, Jurnal, Contoh Jurnal, Skripsi Teknik Informatika, Contoh Skripsi Teknik Informatika ,Contoh Skripsi, Skripsi.