Students Satisfaction in using Mobile Learning at Higher

Educational Institution

Asri Safrinawati, Mega Mayasari

Department of Business Management, Batam State Polytechnic, Batam, Indonesia

Keywords: Mobile Learning, Ease of Use, Internet Speed, Smartphone Portability, Design Layout

Abstract: This study aims to examine the factors that influence student satisfaction in using mobile learning. This study

also examines whether there were differences in satisfaction between students from public and private college.

Data collection techniques used were survey to participant. The sampling technique uses purposive sampling.

The research took sample from 186 students from Batam State Polytechnic and Putera Batam University. The

analytical tool used is multiple regression and Independent sample t-Test. The results show that ease of use,

internet speed and layout design affect to student satisfaction. Smartphone portability does not affect student

satisfaction. The results indicate there is not any difference in satisfaction between state and private college

students in using mobile learning. The results of this study are expected to provide input and evaluation to

faculty to improve e-learning systems and appearance. These will increase student satisfaction of e-learning

use by smartphone.

1 INTRODUCTION

Nowadays the development of technology is rapidly

change. The rapid development of technology has

made the learning system in Higher Education

significantly changed. Learning system is not only

done manually, but it can perform using technology.

This learning system is also called E- learning.

Learning management system (LMS) with moodle

can be accessed via personal computer and the laptop.

Currently E learning can be accessed from mobile. E

learning is a web-based learning ecosystem for the

dissemination of information, communication, and

knowledge for education and training, Cidral,

Oliveira, Felice, & Aparicio, (2018). E-learning has

many benefits in the world of education. Students can

access E-learning with their mobile without having to

be on campus. E-learning access that can be reached

anywhere makes it easier for students to get

information about courses materials. Satisfaction is

inseparable from the expectations, desires and needs.

The Reaserch of Eliyanora, Andriani, & Zahara

(2010) proved that the level of student satisfaction

with educational services can be known by comparing

expectations with the reality they get.

In an era of rapidly developing technology like

today, research is needed on students who have used

their smartphones to access e-learning. Whether there

is learning using mobile learning students feel

satisfaction. There are currently many colleges that

use E-learning as a tool for teaching and learning. The

Ministry of Research, Technology and Higher

Education (Menristekdikti) explained that tertiary

institutions are targeted to conduct learning in

accordance with technological developments. An

online learning system is needed for students'

readiness to face technology that is developing so

quickly.

Advances in E-learning technology have also

made Batam State Polytechnic implement electronic-

based learning since 2007. Students use E-learning to

get material from lecturers, do quizzes and

examinations using E-learning, and can upload

assignments on E-learning. The existence of this

facility makes it easier for students to learn without

having to meet face to face in class. Not only in Batam

State Polytechnic, several private colleges in Batam

use E-learning for teaching and learning but also the

Putera Batam University. Students Batam State

Polytechnic and Putera Batam University always

access e-learning using smartphones to get

information about their learning. No need to come to

campus, students can immediately see the latest

information from the lecturer for learning. Students

Safrinawati, A. and Mayasari, M.

Students Satisfaction in using Mobile Learning at Higher Educational Institution.

DOI: 10.5220/0010357401330141

In Proceedings of the 2nd International Conference on Applied Economics and Social Science (ICAESS 2020) - Shaping a Better Future Through Sustainable Technology, pages 133-141

ISBN: 978-989-758-517-3

133

also enjoy learning through e-learning without having

to face to face in class.

The prior research related to the technology in

education has been studied are Basidious & Lange

(2009) examined the impact and use of information

and communication technology on accounting

student learning outcomes. The results of the research

that the existence of information and communication

technology makes accounting students do not

understand well. Dimitrios, Labros, Nikolaos, Maria,

& Athanasios (2013) their research about identifies

and presents views about teaching accounting

internationally using information and communication

technology. The results of the studies are students

prefer teaching methods that are centered by

personalized instructors. Students recommend that

the internet and various computer programs,

simulations, case studies in real and virtual work

environments become tools supporting traditional

methods rather than being the main tool.

Research related to the topic in Indonesia has been

discussed, the results show that E-learning has a

significant and positive effect on the quality of

student learning, Karwati, (2014). Faoziah &

Sembiring (2017) shows that learning using E-

learning with Ease of Use, form, accuracy, speed of

responding and privacy security has a positive effect

on student satisfaction, and a significant effect on the

speed of responding and privacy security variables.

Research on E-learning using mobile is not new

research but research related to this topic continues to

be developed using different variables. Alqahtani &

Mohammad (2015). The results of the study indicate

that there is a positive relationship between mobile

applications and perceptions of the performance,

satisfaction and behavior of the students involved.

Paricio, Bacao, & Oliveira (2017) proposes a

theoretical model of learning grit as a determinant of

the success of E-learning systems. The results of the

study indicate that grit has a positive effect on

individual student satisfaction and performance,

enhance E-learning strategies and understand E-

learning success. Sulaiman & Dashti (2018), their

research about satisfaction and factors in using

Mobile Learning (ML). The findings of the research

show that female students and Kuwaiti Nationality

students were more satisfied with their ML compared

to students who were not Kuwaiti nationals. The

factors used to Internet speed, smartphone portability,

smartphone skills, screen size, gender, nationality,

and college.

Result of the research performed by Cidral,

Oliveira, Felice, & Aparicio (2018) shows that the use

and satisfaction of E-learning users are

interdependent, and both have a significant effect on

individual performance. The success of E-learning in

Brazil has a positive impact. Sarker, Mahmud, Islam,

& Islam (2019) examine the suitability of

implementing effective E-learning through learning

management system (LMS) at the private university

in Bangladesh. The findings of the research reveal

that E-learning has been well accepted by most of the

students as they are found routinely spending time on

the LMS on a regular basis for watching lecture

videos, viewing course information, reading postings

of the fellow students in the forum. However, there

are constraints as well since the learning materials are

poorly designed that do not allow much interaction

between students and lecturers. There are also some

technical problems such as poor internet connection

which restrict access to E-learning platforms.

This research idea came from Sulaiman & Dashti

(2018) The difference between this research and the

prior research such as samples and variable used.

Previous studies used a sample of general students

and Informatics majors in Banglades and Kuwait.

Sample in this research are business student at the

Batam State and Private Higher Educational

Institution. Variable ease of use obtained from

Theory Acceptance Model (TAM) internet speed,

layout design, smartphone portability from Sulaiman

& Dashti (2018). Based on previous research

comparing public and private universities, the

researcher also compared two groups of universities

but used a sample of business accounting students. To

measure the level of satisfaction between two

different universities, are there differences in

satisfaction. The purpose of this study is the first, to

examine the factors that influence satisfaction of

using mobile learning. Second, to consider whether

there is a difference between the use of mobile

learning between students at State and Private Higher

Educational Institution.

2 LITERATURE REVIEW AND

HYPOTHESIS

2.1 Theory

2.1.1 Technology Acceptance Model

Davis (1986) describing usability and ease of use is a

significant determinant of technology acceptance or

adoption. Technology Acceptance Model (TAM) can

explain the main factors of information technology

user information on the acceptance of information

technology users. This theory explains if the use of

ICAESS 2020 - The International Conference on Applied Economics and Social Science

134

information systems will be influenced by the

benefits and ease of use variables, both of which have

high determinants and empirically tested validity.

TAM believes that the use of information systems can

improve the performance of individuals or

organization, in addition, the use of information

systems is easier to use. According to the TAM

model, perceived benefits and perceived ease of use

determine an individual's attitude, which will

determine an individual's intention to use a system.

2.1.2 The Counstructivsm Learning Theory

Brune (1966) states that the concept of the theory of

constructivism is an active process of students in

building new ideas according to present and past

knowledge. Constructivism is an extremely broad

theory, has aspects such as social, physical,

evolutionary, information, processing, Murphy

(1997). Constructivism theory focuses on creating a

learning environment that is centred on students in

what they learn. Learners are actively involved in the

learning process supported by existing infrastructure.

One of the main features of the theory of

constructivism is motivation and satisfaction in

learning, Hein, (1991). This research is also based on

constructivism learning theory, how students have

knowledge by using a system and can feel satisfaction

with the system.

2.2 Literature Review

Research on the use of e-learning and mobile learning

has been widely studied before. An explanation of the

previous research will be discussed in the literature

review. Previous research, Basidious & Lange,

(2009) examined the impact and use of information

and communication technology on accounting

student learning outcomes. The results of this

research that the existence of information and

communication technology makes accounting

students do not understand well.

Dimitrios, Labros, Nikolaos, Maria, & Athanasios

(2013) which identifies and presents views on the

teaching of accounting internationally using

information and communication technology (ICT).

The results of these studies are students prefer

teaching methods that are centered by personalized

instructors. Students recommend that the internet and

various computer programs, simulations, case studies

in real and virtual work environments become tools

supporting traditional methods rather than being the

main tool.

Research Tîrziua & Vrabie, (2015) aims to

provide a framework for teachers to interact with

electronic good to students. The results of the study

are effective for presenting face-to-face material in an

online environment that makes students achieve

higher levels of learning satisfaction and more

understanding of the subject matter.

Research on e-learning using mobile researched

by Alqahtani & Mohammad, (2015). The research

sample used 118 students from Computer Science and

Information Systems in Higher Education at Al Imam

Muhammed Bin Saud Islamic University. The results

of this study indicate there is a positive relationship

between mobile applications and perceptions of

performance, satisfaction and behavior of students

involved.

Research Aparicio, Bacao, & Oliveira, (2017)

proposes a theoretical model of learning grit as a

determinant of the success of e-learning systems. The

results of the study indicate that grit has a positive

effect on individual student satisfaction and

performance, enhance e-learning strategies and

understand e-learning success. Research Cidral,

Oliveira, Felice, & Aparicio, (2018) that shows

understanding of satisfaction, use, and success in e-

learning at universities in Brazil. The results of the

study indicate that the use and satisfaction of e-

learning users are interdependent, and both have a

significant effect on individual performance. The

success of e-learning in Brazil has a positive impact.

Research Sulaiman & Dashti, (2018) regarding

satisfaction and factors of using Mobile Learning

(ML), shows the results that female students and

Kuwaiti nationality students are more satisfied with

ML for education compared to students who are not

Kuwaiti nationals. The factors used to predict student

satisfaction are user convenience, internet speed,

smartphone portability and layout design. Research

Sarker, Mahmud, Islam, & Islam, (2019) critically

examines the appropriateness of the application of

effective e- learning through Learning Management

Systems (LMS) in Bangladeshi educational

institutions. The results of the study showed that most

students were very enthusiastic about e-learning.

Research related to the topic of e-learning in

Indonesia was conducted by Karwati, (2014) who

analyzed how electronic learning in FKIP UNINUS,

how the quality of learning in FKIP UNINUS, and to

find out whether electronic learning affects the

quality of student learning in FKIP UNINUS. The

results showed that e-learning had a significant and

positive effect on the quality of student learning.

Research Fauziah & Sembiring, (2017) shows that

learning using e-learning with user convenience,

Students Satisfaction in using Mobile Learning at Higher Educational Institution

135

form, accuracy, speed of responding and privacy

security has a positive effect on student satisfaction,

and significantly influences the speed of responding

and privacy security variables.

2.3 Hypothesis

2.3.1 User Ease Influences Satisfaction

Davis (1986) explain the benefits obtained and

facilitate the use determined by determining the

individual, which will determine the individual's

intention to use a system. System users who do not

need a burden and easily use this system, including

those involving Ease of Use Faoziah & Sembiring,

(2017). Previous research explains user ease

influences student satisfaction, Faoziah & Sembiring,

(2017). Systems that are easy to use by users will

continue to be used so that the creation of satisfaction

in using the system. Based on the explanation, the

hypothesis is:

H1: Ease of use influences satisfaction

2.3.2 Internet Speed Has an Effect on

Satisfaction

Davis (1986) explain TAM can explain the main

factors of information technology user behavior

towards the acceptance of information technology

users. Internet speed is one of the factors of user

satisfaction in using mobile learning Sulaiman &

Dashti, (2018). The satisfaction of using mobile

learning is inseparable external supporting factors,

one of which is internet speed. Internet speed will

affect the satisfaction of mobile learning users. Based

on the explanation, the hypothesis is:

H2: Internet Speed influences satisfaction

2.3.3 Smartphone Portability Influences

Satisfaction

Davis (1986) explains that TAM can explain the main

factors of information technology user behavior

towards the acceptance of information technology

users. Smartphone portability is a factor of user

satisfaction in using mobile learning Sulaiman &

Dashti, (2018). Satisfaction of the use of mobile

learning is inseparable from the facilities that support

mobile learning facilities and external supporting

factors, one of which is smartphone portability.

Smartphone portability will affect the satisfaction of

mobile learning users. Based on the explanation, the

hypothesis is:

H3: Smartphone portability has an effect on

satisfaction

2.3.4 Layout Design Has an Effect on

Satisfaction

Davis (1986) explains that usability and ease of use

are significant determinants of technology acceptance

or adoption. TAM can explain the main factors of

information technology user behaviour towards the

acceptance of information technology users.

Interesting useruser interestinseparable from the

design that has been created to attract the attention of

users. Technology can be accepted if it is interesting

and easy to understand Alqahtani & Mohammad,

(2015). The layout design will affect the satisfaction

behaviour of mobile learning users. Based on the

explanation, the hypothesis is:

H4: Layout design influences satisfaction

2.3.5 The Difference in Satisfaction of the

Use of Mobile Learning between

Students in Public and Private College

in Batam

Brune (1966) explained that motivation in sample

according to learning by using the system will cause

users to feel satisfaction with the system. The

satisfaction of using mobile learning is inseparable

from the facilities that support mobile learning

facilities. That students in public and private

universities were satisfied using mobile learning, that

female students were more satisfied with ML than

male students. Moreover, Kuwaiti students were

more satisfied than non-Kuwaitis Sulaiman & Dashti,

(2018). The difference in satisfaction is inseparable

from the factors that influence the use of the mobile

learning Based on the explanation, the hypothesis is:

H5: There is difference in satisfaction of the use of

mobile learning between students in public and

private college in Batam. Based on the hypotheses

that have been presented, the research model is

obtained as follows:

ICAESS 2020 - The International Conference on Applied Economics and Social Science

136

Figure 1: Research model

3 METHOD

The research method used in this study is a

quantitative approach to testing hypotheses. Sample

in this research are student from Batam State

Polytechnic the Number of samples in this study use

the Slovin formula with an error level of 10%. The

minimum sample is 184 respondents

Table 1: Data Questionnaires

Information Batam State

Polytechnic

Putera

Batam

Universit

Total student

population is based on

forlap Dikti Data

1266 1015

Sample according to

slovin formula

93 91

Questionnaires are

filled out via google

form

105 66

The questionnaire is

filled in throught print

out

8 33

Questionnaire that did

not return

(2) (17)

Inappropriate

res

ondents

(19) (7)

Questionnaire that can

e processe

94 92

Source: Processed data

Sampling in this study uses purposive sampling

judgment with the criteria of students who have been

studying for at least one year and who frequently

access E-learning through smartphones. The

questionnaire in this study consisted of two parts. The

first part is the contents of the questionnaire which

contained 21 question items about student satisfaction

using mobile learning. The second part contains the

general data of respondents. In accordance with the

research variables, the source of the contents of the

questionnaire was adapted from Alqahtani &

Mohammad, (2015) and Sulaiman & Dashti, (2018).

3.1 Independent Variable

Mobile learning is an electronic technology that is

used to send, support, assess, and improve teaching

and learning or learning Faoziah & Sembiring,

(2017). The definition of mobile learning in this study

refers to e-learning accessed through student

smartphones, so it is referred to as mobile learning.

There are 4 dimensions in measuring satisfaction in

using mobile learning. Ease of use, internet speed,

smartphone portability and layout design.

3.1.1 Ease of Use

User Ease is a belief about new technology that

affects personal attitudes towards using that

technology Alqahtani & Mohammad, (2015). Ease of

use is related to how users can easily accept the new

technology provided to improve performance. The

ease of use in this study is related to the ease of users

in using E-learning. Criteria that need to be

considered in measuring Ease of Use are usability,

attitudes, interests and behavior Faoziah &

Sembiring, (2017). Measuring using five items of

questions were adapted from Alqahtani &

Mohammad, (2015).

3.1.2 Internet Speed

Internet speed is the speed of accessing data using the

internet. Internet speed in this study is related to speed

in accessing mobile learning. Internet speed is an

external factor that can affect the satisfaction of using

mobile learning. Internet speed is also related to the

signal from WIFI and the availability of WIFI

networks Sulaiman & Dashti, (2018). Criteria that

need to be considered in measuring internet speed are

the availability of WIFI, speed in accessing

information and speed in doing things with mobile

learning. Measuring using three question items in the

questionnaire were adapted from Sulaiman & Dashti,

(2018).

3.1.3 Smartphone Portability

Smartphone portability is the convenience of users in

bringing smartphones anywhere Sulaiman & Dashti,

(2018). Smartphone portability is also inseparable

from the user's skills in using the smartphone.

Indicators that measure smartphone portability are the

Students Satisfaction in using Mobile Learning at Higher Educational Institution

137

ease of carrying a smartphone, the ability to use a

smartphone, and the ease of students charging.

Measuring using three question items in the

questionnaire were adapted from Sulaiman & Dashti,

(2018). There is one question has a negative

statement, so the likert scale used on the smartphone

portability variable in the question is reversed to 1-5

3.1.4 Layout Design

Layout design can incorporate typographic elements,

which can connect meaning Alqahtani &

Mohammad, (2015). Layout design is related to how

things look that can make technology users

comfortable and easy to use. The layout design in this

study is related to the layout design and appearance

of the mobile which can make it easy for users to use

it. Indicators that measure layout design are user

preferences with user friendly appearance and

applications. There are five question items on the

questionnaire to measure layout design variables

adapted from Alqahtani & Mohammad, (2015).

3.2 Dependent Variable

Table 3 show that Responden Characteristics.

Table 3: Responden Characteristics

Responden

Characteristics F %

Gender

Male 47 25.3

Female 139 74.7

College

Politeknik Negeri Batam 94 50.5

Universitas Putera Batam 92 49.5

Source: Processed data

3.2.1 User Satisfaction

User satisfaction refers to the extent to which users

feel comfortable with the system to achieve their

goals Sulaiman & Dashti, (2018). User satisfaction of

human-computer interaction refers to the expression

of affection obtained from interacting with the

system. User satisfaction is related to the convenience

of users in interacting with the system. Indicators that

measure user satisfaction are user satisfaction,

repeated use, and recommendations that users give to

others to use technology or systems. There are five

question items on the satisfaction variable adapted

from Sulaiman & Dashti, (2018) and Alqahtani &

Mohammad, (2015) which will be used to measure

satisfaction from the use of mobile learning.

4 RESULTS AND DISCUSSION

4.1 Result

4.1.2 Variable Validity and Reliability

The question items that represent the variables in

this research is stated to be exceptionally reliable

reliable based on the value of Cronbach Alpha> 0.7.

The result displayed in table 2.

Table 2: Analysis Reliability Variabel

Source: Processed Data

About their validity. Question items to be valid if r

count> r table, with the number n = 30 respondents,

then obtained degree of freedom (df) = 28 and r table

= 0.4629 at alpha = 0.01. So that the item is said to be

valid if r count> 0.4629. The question items in this

study represent variables of Ease of Use, internet

speed, smartphone portability, layouts design and

user satisfaction expressed as valid with a value of

rcount> 0.4629.

4.2 Result and Discussion

Data in this research processed using SPSS. Data

were analyzed using multiple linear regression

analysis to test first hypothesis to the hypothesis. The

fifth hypothesis used independent sample t-test

analysis to find differences in satisfaction between

students in public and private college in Batam. Table

4 show that the result of the hypothesis testing.

Table 4: The Result of Multiple Regression.

Variable Regression

Coefficient

count

Sig.

Konstanta 2.629 1.76 0.080

Ease of Use 0.207 2.87 0.005**

Internet Speed 0.334 3.73 0.000**

Smartphone

Portabilit

0.098 1.02 0.308

Layout Design 0.385 6.15 0.000**

F count = 43.007

= 0.487

Sig α ** = 5% Source: Processed data

ICAESS 2020 - The International Conference on Applied Economics and Social Science

138

From table 4, obtained the multiple linear

regression equation is as follows.

The multiple regression test produced an R2

value of 0.487 which showed that the independent

variables of Ease of Use, internet speed, smartphone

portability, and layout design simultaneously formed

48.7% of the variations in student satisfaction. That a

positive constant value of 2,629 shows the positive

influence of the independent variables of Ease of Use,

internet speed, smartphone portability and layout

design. If the independent variable goes up, the user

satisfaction variable will also go up.

The value of the regression coefficient on the

user ease variable on user satisfaction is 20.7%

which means, if the user ease variable has increased

by one unit, then user satisfaction will increase by

20.7%. The results of the multiple regression test in

the table 3 show that the Ease of Use variable has a t

value of 2.866 with a significant value of 0.005

which is below 0.05 so it can be concluded that H1

is supported. The results of this study indicate that

ease of use influences student satisfaction in

using mobile learning. Davis (1986) explains that

the right benefits and proper use determine

individual attitudes, which will determine the

individual's intention to use a system. Ease of use of

good mobile learning will increase student

satisfaction. Students also find it easier to learn and

more efficient by using smartphones, coupled with

easy-to-use mobile learning.

The regression coefficient on the internet speed

variable to user satisfaction is 33.4% which means, if

the internet speed variable has increased by one unit,

then user satisfaction will increase by 33.4%. The

results of the multiple regression test in the table show

that the internet speed variable has a t-value of 3,734

with a significance value of 0,000 which is below

0.05 so it can be concluded that H2 is supported. This

study also found that internet speed affects student

satisfaction. Davis (1986) explains that TAM can

explain the main factors of information technology

user behavior on the acceptance of information

technology users. Internet speed is one of the factors

for user satisfaction in using mobile learning,

Sulaiman & Dashti, (2018).

The regression coefficient on the internet speed

variable to user satisfaction is 33.4% which means,

if the internet speed variable has increased by one

unit, then user satisfaction will increase by 33.4%.

The results of the multiple regression test in the table

show that the internet speed variable has a t-value of

3,734 with a significance value of 0,000 which is

below 0.05 so it can be concluded that H2 is

supported. This study also found that internet speed

affects student satisfaction. Davis (1986) explains

that TAM can explain the main factors of

information technology user behavior on the

acceptance of information technology users. Internet

speed is one of the factors for user satisfaction in

using mobile learning, Sulaiman & Dashti, (2018).

The regression coefficient on the smartphone

portability variable to user satisfaction is 9.8%,

which means that if the smartphone portability

variable increases by one unit, user satisfaction will

increase by 9.8%. The results of the multiple

regression test in the table indicate that the

smartphone portability variable has a calculated

value of 1.022 with a significance value of 0.308

which is above 0.05 so it can be concluded that H3

is not supported. In addition, this study also proves

that smartphone portability does not affect student

satisfaction. Causing that smartphone portability

variable is not a factor that can affect student

satisfaction in using mobile learning. This is because

in the indicators of students' ease of charging,

students state that they feel they disagree with

statements if they have problems charging their

smartphones on campus. From the answers of

students who often access e-learning, they have no

problems when charging their smartphone on

campus. Students can still access e-learning easily

without having problems with charging on campus.

Research using smartphone portability variables was

first investigated by Sulaiman & Dashti, (2018).

Research by them which states that smartphone

portability affects student satisfaction. The

satisfaction of using mobile learning is inseparable

from the facilities that support mobile learning

facilities as well as external supporting factors, one of

which is smartphone portability. Smartphone

portability will affect mobile learning user

satisfaction.

The regression coefficient on the layout design

variable to the user's decision is 38.5% which

means, if the layout design variable has increased by

one unit, the user satisfaction will increase by

38.5%. The results of the multiple regression test in

the table above show that the layout design variable

has a calculated value of 6,153 with a significance

value below 0.05 so it can be concluded that H4 is

Supported. Layout design affects student

satisfaction. The better the layout design of the

mobile learning display, it will increase the

satisfaction of students who use mobile learning.

Students Satisfaction in using Mobile Learning at Higher Educational Institution

139

Davis (1986) explains that usability and ease of use

are significant determinants of technology

acceptance or adoption. TAM can explain the main

factors of information technology user behavior

towards acceptance of information technology users.

Attracting user interest cannot be separated from the

design that has been made to attract the attention of

users.

The results of the free sample t-test to test the

fifth hypothesis are listed in table 5, as follows:

Table 5: The Result of Independent sample t-test

Source: Processed data

The fifth hypothesis states that there is

difference in satisfaction of the use of mobile

learning between state and private tertiary education

students in Batam. The results of data processing are

in table 5. To test the fifth hypothesis, an

independent sample t-test was used with a

significance <0.05. From table 5, it can be explained

that the test results not significance value of 0.113

which can be concluded that there is not any

difference in satisfaction between state college

students and private college students which means

H5 is not supported. Brune (1966) explained that

motivation in learning using the system will result in

users feeling satisfaction with the system. Currently

the use of a smartphone is a necessity so that it is

inherent in students. Students feel ease of use the

mobile learning and is not related to the facilities

provided by the campus. this has caused not any

difference in satisfaction between public or private

campuses. The summary hypothesis testing show in

table 6.

Table 6: Hypothesis testing result summary

Hypothesis Result

H1: Ease of use has an effect

on satisfaction

Supported

H2: Internet Speed has an

effect on satisfaction

Supported

H3: Smartphone portability has

an effect on satisfaction

not supported

H4: Layout design has an effect on

satisfaction

Supported

H5: There is difference in

satisfaction of the use of mobile

learning between students in public

and private college in Batam

not supported

5 CONCLUSIONS

The main objective of this study is to determine the

factors that influence student satisfaction in using

mobile learning with ease of use, internet speed,

smartphone portability and layout design to the

satisfaction of students of states and private colleges

in Batam and examine the diferrences between the

two groups.This study also found that there were not

any differences in satisfaction between students of

state and private college in Batam. So, it can be said

that state and private college students feel the same

satisfaction in using mobile learning. Implication of

the current research as an evaluation material to

colleges to continues improvement the system, the

appearance of e- learning so that users are satisfied

with the use of e- learning through smartphones

Future studies are recommended to increase the

number of samples in the study. Reducing the

standard of error in determining the number of

samples. In addition, further research is expected to

add other college to be used as research samples. And

the next research should involve other factors that can

affect student satisfaction in using mobile learning.

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