
 
less observed by researchers. Levasseur, Dean,  and 
Pfaff in De Grez, Valcke, and Beringgs (2010: 1786-
1789.), stated that oral presentation skill recognized 
as a major professional skill, but the learning process 
and skill about the presentation is ever researched by 
another researcher. 
This  research  is  aimed  to  evaluate  the  students’ 
ability  in  presentation.  This  is  very  important  to 
understand  the  effect  given  by  Problem-Based 
Learning  method  in  students’  understanding  and 
mastery of the material through presentation. Other 
skills promoted by the use of PBL in teaching and 
learning  such  as  communication,  teamwork  and 
group  discussion  can  also  be  analyzed  through 
presentation easily. 
2  METHOD 
This research is carried out by descriptive method, 
which describes the application of the problem-based 
learning  to  develop  students’  achievement  and 
presentation skill. The subjects of the research are 45 
sample students of the Accountant Education Study 
program out 0f 96 student who  are taken by quota 
sampling  technique.  The  overall  students  initially 
have quite low of presentation abilities and most are 
using  monotonous  slides  and  paper  based 
presentation. Their ability in mastering the material 
was  very  poor  and  their  presentation  was  not 
interesting and alive.   
 
2.1  Measurement of Variables 
The  measurement  of  problem-based  learning 
collisions  is  3  dimensions  and  18  indicators  are 
learning  independence  with  the  indicator  code 
KMB1, KMB2, KMB3, KMB4, KMB5, KMB6 and 
KMB7,  Learning  Motivation  with  MOB8,  MOB9, 
MOB10, MOB11, MOB12, MOB13 indicator code, 
and teamwork with code indicator KRT14, KRT15, 
KRT16, KRT17, KRT18. 
The measurement of presentation capacity is 12 
indicators  with  the  code  KRT15,  KRT16,  KRT17, 
KRT18,  PRE19,  PRE20,  PRE21,  PRE22,  PRE23, 
PRE24,  PRE25,  PRE26,  PRE27,  PRE28,  PRE29, 
PRE30. 
2.2  Data Analysis Technique 
The technique of analyzing the questionnaire data is 
using  structural  equation  modeling  (SEM)  analysis 
with partial least squares (PLS) or smartPLS 2 tools, 
to know the effect of problem-based learning model 
on  presentation  ability.  The  reason  for  using SEM 
analysis is, because of the latent and the first order 
and second order constructs. 
3  RESULTS 
3.1   Evaluation of Measurement Model 
(Outer Model) 
Outer  model  is  a  step  to  know  the  validity  and 
reliability that connects with latent variables. To see 
the validity is measured by using outer loading and 
AVE. Requirements to meet validity must be above 
0.50.  Measuring  the  outer  loading  if  there  is  one 
invalid indicator  that is PRE20  on  variable  Ability 
presentation. On the AVE measurement, all contracts 
and dimensions meet the criterion of the criterion of 
0.5 is declared valid. 
Measurement  reliability  using  composite 
reliability with criterion 0.7. The result of smartPLS 
shows that all the constants and dimensions have met 
the  requirements,  so  it  is  declared  reliable  all  the 
constants and dimensions. Here are the AVE tables 
and composite reliability. 
 
Table 1: AVE and composite reliability. 
Source: Results of Data Processing SmartPLS 2 (2018). 
3.2  Model Structure (Inner Model) 
The structural model is evaluated by using R-square 
(R²)  for  the  dependent  construct,  and  the T-test  as 
well  as  the  significance  of  the  structural  path 
parameter coefficients. R² can be used to assess the 
effect  of  independent  latent  variables  on  latent 
dependent  variables  whether  they  have  substantive 
results. In Table R-Square shows that the lowest R-
Square 0.049065 is included in the weak category and 
the  highest  0.945921  is  included  in  the  stable 
category. 
 
 
 
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