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John Friadi, Elly Rumengan, Dodi Putra Yani. (2022). Application E-
Learning Based on Cloud Computing at the Faculty of Engineering,
Batam University. Journal Eduvest. Vol 2(7): 1.312-1.318
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Eduvest – Journal of Universal Studies
Volume 2 Number 7, July, 2022
p- ISSN 2775-3735- e-ISSN 2775-3727
APPLICATION E-LEARNING BASED ON CLOUD
COMPUTING AT THE FACULTY OF ENGINEERING, BATAM
UNIVERSITY
John Friadi, Elly Rumengan, Dodi Putra Yani
Universitas Batam, Indonesia
Email: john.friadi@gmail.com, angelinaeleonora[email protected],
ABSTRACT
The development of information technology and the
increasingly widespread use of the internet has changed the
learning process in higher education, especially during the
COVID-19 pandemic, many higher education are conducting
distance learning processes by implementing cloud computing-
based e-learning. This is also in line with the government's
recommendation that we apply health protocols to break the
chain of the Covid-19 virus, such as studying and working from
home. Batam University, in this case, the engineering faculty,
includes those implementing cloud computing-based e-
learning for distance learning The purpose of this research is to
see how far the implementation of e-learning based on cloud
computing according to users, in this case, are lecturers and
students of the engineering faculty of Batam University,
knowing the readiness of lecturers and students towards the
process and products of e-learning itself and satisfaction from
the lecturers and students. at the University of Batam at the
engineering faculty during the e-learning implementation
process. This research method uses a combination of
quantitative and qualitative descriptive methods by
distributing questionnaires to lecturers and students in the
university environment at the engineering faculty which
consists of 4 (four) study programs namely mechanical
engineering, electrical engineering, civil engineering, and
information systems After processing the data using the
validity test, reliability test and qualitative analysis, it was
John Friadi, Elly Rumengan, Dodi Putra Yani
Application E-Learning Based on Cloud Computing at the Faculty of Engineering, Batam
University 1.313
obtained that the lecturer respondents agreed with the
implementation of cloud computing-based e-learning by 41%,
with an average Respondent Achievement Level (TCR) of
lecturers of 81.82% in good category. Student respondents'
answers strongly agree with the implementation of e-learning
based on cloud computing of 44 with an average Student
Achievement Level of Respondents (TCR) of 80.47% in good
category.
KEYWORDS
Application, E-Learning, Cloud Computing
This work is licensed under a Creative Commons
Attribution-ShareAlike 4.0 International
INTRODUCTION
Creative and innovative learning models based on information technology in the
industrial era 4.0 need to be developed to increase the effectiveness and efficiency of
learning, especially during the COVID-19 pandemic. Things that seem less interesting,
monotonous and boring must be avoided, so that the role of a media in learning becomes
varied and not boring (Muhson, 2010). The use of e-learning based on cloud computing
has an impact on changing the learning culture where students are required to be able to
learn independently and have motivation and be able to regulate themselves in learning (al
Ajmi et al., 2017). Lecturers and students are required to have expertise in developing
knowledge and skills, as well as abilities in information technology (Aljenaa et al., 2011;
Rajabion et al., 2019).
The implementation of learning models in the industrial era 4.0 is currently leading
to online distance learning based on cloud computing and many are using it during the
covid-19 pandemic, with expectation helping students in doing interactive, varied,
constructive, effective, productive and fun learning that can be done anytime and anywhere
(Ahmed, 2015; Wu & Plakhtii, 2021). This learning model is also very appropriate during
the COVID-19 pandemic in line with the government's recommendation to continue
working and studying from home (maintaining distance) and it is also possible to do it after
the COVID-19 pandemic because of its advantages.
One of the internet-based information technologies that is quite popular in the world
of education and learning is e-learning (Korucu & Alkan, 2011). E-Learning is one of the
developments of information technology in the world of education which has the benefit
of connecting lecturers and students to view schedules, send assignments given by
lecturers, all of which can be done online (Bora & Ahmed, 2013; Jethro et al., 2012). The
definition of e-learning is the process and activity of implementing web-based learning,
computer-based learning, virtual classrooms, and/or digital classrooms (Arkorful &
Abaidoo, 2015; el Mhouti et al., 2018). The materials in these electronic learning activities
are mostly delivered via the internet, intranet, video or audio tapes, broadcasting via
satellite, interactive television and CD-ROM (Rusman, 2011). E-Learning is using internet
technology to provide a solution with high knowledge and skills (Rosenberg, 2001). E-
Learning is how to provide learning products in the form of CD-ROM or web or both.
According to the authors of the expert opinions above, it can be said that e-learning is an
electronic-based teaching and learning process (computers, tablets, gadgets) that is carried
Eduvest – Journal of Universal Studies
Volume 2 Number 7, July 2022
1.314 http://eduvest.greenvest.co.id
out online bu utilizes internet and is digital-based that can connect educators and students
anywhere and anytime.
The engineering faculty of the University of Batam has implemented e-learning
before the covid19 pandemic and became the main solution for lectures during the covid19
pandemic. This learning uses electronic devices and utilizes internet technology. In E-
learning, lecturers not only upload lecture materials that can be accessed by students, but
also evaluate lectures, communicate, collaborate, and manage other aspects of lectures. The
learning process with cloud computing-based e-learning in its implementation there are still
obstacles and shortcomings, however, since ithas been used, there has never been an
evaluation of the implementation use of cloud computing-based e-learning, so researchers
are interested in seeing how far cloud computing-based E-Learning is used in the Faculty
of Engineering, Batam University.
RESEARCH METHOD
This research is a mixed research, namely quantitative and qualitative research to
determine the implementation of cloud computing-based e-learning in the engineering
faculty of Batam University. Population is a generalization area consisting of
objects/subjects that have certain quantities and characteristics determined by the
researcher to be studied and then draw conclusions (D. Sugiyono, 2018). Where the
population in this study are users of cloud computing-based e-learning in the engineering
faculty of the University of Batam, which consists of lecturers and students. The sampling
technique in this study is using the Non-Probability Side Accidental Sampling technique,
which is a sampling technique that does not provide equal opportunities/opportunities for
each element or member of the population to be selected as a sample (Prof. Dr. Sugiyono,
2019). The data collection methods used in this research are Questionnaire, Literature
Study.
RESULT AND DISCUSSION
Data analysis was performed using the instrument validity with the Product
Moment Correlation technique. The software used for analysis is SPSS 20 version.
A. Validity Test
1). Lecturer Questionnaire Validity
Test the validity of the lecturer's questionnaire using the instrument validity test of
Product Moment Correlation technique. Product Moment Correlation value is obtained
from the calculation results of SPSS 20 and compared with rtable (df = N (19) - 2 = 17
(0.456). The value of the questionnaire calculation valid if r
count
is greater than r
table
and
vice versa. Based on the results of the validity test of the implementation of cloud
computing-based e-learning at the engineering faculty of the University of Batam which
has been processed using SPSS Version 20, as shown in table 2 below:
John Friadi, Elly Rumengan, Dodi Putra Yani
Application E-Learning Based on Cloud Computing at the Faculty of Engineering, Batam
University 1.315
Table 2. Validity Test of Cloud Computing-Based E-Learning Implementation (Lecturer)
Statement
R
count
R
Tabel
Description
P1
0,711
0,456
Valid
P2
0,819
0,456
Valid
P3
0,718
0,456
Valid
P4
0,665
0,456
Valid
P5
0,683
0,456
Valid
P6
0,636
0,456
Valid
P7
0,695
0,456
Valid
P8
0,516
0,456
Valid
P9
0,555
0,456
Valid
P10
0,468
0,456
Valid
P11
0,637
0,456
Valid
P12
0,648
0,456
Valid
P13
0,620
0,456
Valid
P14
0,719
0,456
Valid
P15
0,709
0,456
Valid
P16
0,760
0,456
Valid
P17
0,732
0,456
Valid
P18
0,662
0,456
Valid
P19
0,853
0,456
Valid
P20
0,793
0,456
Valid
P21
0,799
0,456
Valid
P22
0,573
0,456
Valid
P23
0,726
0,456
Valid
P24
0,868
0,456
Valid
P25
0,601
0,456
Valid
P26
0,674
0,456
Valid
P27
0,617
0,456
Valid
P28
0,715
0,456
Valid
P29
0,784
0,456
Valid
P30
0,598
0,456
Valid
P31
0,805
0,456
Valid
P32
0,773
0,456
Valid
P33
0,750
0,456
Valid
2) Student Questionnaire Validity
Test the validity of the students questionnaire using the instrument validity test
of Product Moment Correlation technique. Product Moment Correlation value is
obtained from the calculation results of SPSS 20 and compared with rtable (df = N (135)
- 2 = 133 (0,169)). The value of the questionnaire calculation valid if r
count
is greater
than r
table
and vice versa. Based on the results of the validity test of the implementation
of cloud computing-based e-learning at the engineering faculty of the University of
Batam which has been processed using SPSS Version 20, as shown in table 3 below:
Tabel 3. Validity Test of Cloud Computing-Based E-Learning Implementation (student)
Statement
R
count
R
Tabel
Description
P1
0,887
0,169
Valid
Eduvest – Journal of Universal Studies
Volume 2 Number 7, July 2022
1.316 http://eduvest.greenvest.co.id
P2
0,862
0,169
Valid
P3
0,732
0,169
Valid
P4
0,802
0,169
Valid
P5
0,787
0,169
Valid
P6
0,882
0,169
Valid
P7
0,805
0,169
Valid
P8
0,737
0,169
Valid
P9
0,817
0,169
Valid
P10
0,860
0,169
Valid
P11
0,384
0,169
Valid
P12
0,474
0,169
Valid
P13
0,712
0,169
Valid
P14
0,769
0,169
Valid
P15
0,786
0,169
Valid
P16
0,771
0,169
Valid
P17
0,806
0,169
Valid
P18
0,751
0,169
Valid
P19
0,815
0,169
Valid
P20
0,730
0,169
Valid
P21
0,891
0,169
Valid
P22
0,858
0,169
Valid
P23
0,887
0,169
Valid
P24
0,842
0,169
Valid
P25
0,429
0,169
Valid
P26
0,452
0,169
Valid
P27
0,815
0,169
Valid
P28
0,875
0,169
Valid
P29
0,905
0,169
Valid
P30
0,864
0,169
Valid
P31
0,870
0,169
Valid
P32
0,880
0,169
Valid
P33
0,760
0,169
Valid
b. Realibility Test
1) Lecturer Questionnaire Reliability
The reliability test using Alpha Cronbach was carried out by comparing the Alpha
coefficient values obtained from calculations using the SPSS Version 20 program. The
results of the Alfa Cronbach assessment of reliability on the implementation of cloud
computing-based e-learning learning at the engineering faculty of the University of
Batam were processed using SPSS Version 20 as shown in table 4 below:
Tabel 4. Reliability Test of Cloud Computing-Based E-Learning Implementation
Cronbach’s Alpha
N of Items
.968
33
2) Student Questionnaire Reliability
The reliability test using Alpha Cronbach was carried out by comparing the Alpha
John Friadi, Elly Rumengan, Dodi Putra Yani
Application E-Learning Based on Cloud Computing at the Faculty of Engineering, Batam
University 1.317
coefficient values obtained from calculations using the SPSS Version 20 program. The
results of the Alfa Cronbach assessment of reliability on the implementation of cloud
computing-based e-learning learning at the engineering faculty of the University of
Batam were processed using SPSS Version 20 as shown in table 4 below:
Tabel 5. Reliability Test of Cloud Computing-Based E-Learning Implementation
Cronbach’s Alpha
N of Items
.979
33
c. Qualitative Analysis
Based on the results of a questionnaire regarding the implementation of cloud
computing-based e-learning at the engineering faculty of the University of Batam, it was
conducted by distributing questionnaires to 19 lecturer samples and 135 student samples
representing the population of cloud computing-based e-learning users consisting of
active lecturers and students. sample test using Non-Probability Sampling technique. the
recapitulation of respondents' answers is presented in table 6 as follows:
Tabel 6. Recapitulation of Respondents' Answers to the Implementation of Cloud
Computing-Based E-Learning
Respondence
%
Result
STS
KS
N
S
SS
Lecturer
%
0%
2%
19%
41%
37%
Student
%
5%
6%
14%
31%
44%
Based on table 6 above, it shows that lecturer respondents agree with the
percentage value of 41% and student respondents strongly agree with the percentage
value of 44% on the implementation of cloud computing-based e-learning at the
engineering faculty of Batam University.
Respondents' Level of Achievement (TCR) implementation of cloud computing-
based e-learning at the engineering faculty of the University of Batam is shown in table
7 as follows:
Tabel 7. Respondents' Level of Achievement (TCR) on the Implementation of Cloud
Computing-Based E-Learning (Lecturers)
Responden
Total TCR (%)
Kategori
Lecturer
81,82 %
Good
Student
80,47 %
Good
Based on table 7 above, it shows the Respondent Achievement Level (TCR) of
lecturers on the implementation of cloud computing-based e-learning at the engineering
faculty of the University of Batam, with an average Respondent Achievement Rate (TCR)
of lecturers 81.82% and Respondent Achievement Rate (TCR) students is 80.47% with
good category.
Eduvest – Journal of Universal Studies
Volume 2 Number 7, July 2022
1.318 http://eduvest.greenvest.co.id
CONCLUSION
The result of lecturer respondent and student for the implementation of cloud
computing-based e-learning in the engineering faculty of the University Batam are
significant positive. Respondents' Level of Achievement (TCR) on the Implementation
of Cloud Computing-Based E-Learning of Lecturers 81,82%, and TCR of student 80,47%
with Good Category.
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