ABSTRACT BOOK INTERNATIONAL CONFERENCE OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY - (ICOSNIKOM) 2018 - 23-24 NOVEMBER 2018 MADANI HOTEL MEDAN ...

 
ABSTRACT BOOK INTERNATIONAL CONFERENCE OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY - (ICOSNIKOM) 2018 - 23-24 NOVEMBER 2018 MADANI HOTEL MEDAN ...
Abstract Book
INTERNATIONAL CONFERENCE OF COMPUTER
  SCIENCE AND INFORMATION TECHNOLOGY
                        (ICoSNIKOM) 2018

                                              23-24 November 2018
                                                Madani Hotel Medan
           Jl. Sisingamangaraja / Amaliun No.1 Medan (20215) North
                                                Sumatera Indonesia
ABSTRACT BOOK INTERNATIONAL CONFERENCE OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY - (ICOSNIKOM) 2018 - 23-24 NOVEMBER 2018 MADANI HOTEL MEDAN ...
INTERNATIONAL CONFERENCE OF COMPUTER SCIENCE AND
INFORMATION TECHNOLOGY (ICoSNIKOM) 2018
Abstract Of Seminar Presentations

            INTERNATIONAL CONFERENCE OF COMPUTER SCIENCE AND
                 INFORMATION TECHNOLOGY (ICoSNIKOM) 2018

                            Abstract Of Seminar
                              Presentations

       1st International Conference of SNIKOM (1st ICoSNIKOM) 2018 is an international conference of
       computer science and information technology. This conference is joint collaboration of APTIKOM Wilayah
       I Sumatera Utara and Politeknik Negeri Medan, and will be support by Universitas Sumatera Utara,
       Universitas Methodist Indonesia, Universitas Prima Indonesia Medan, Universitas Harapan Medan,
       Universitas Malikussaleh, Akademi Teknik dan Keselamatan Penerbangan (ATKP) Medan, Universitas
       Potensi Utama, Politeknik Palcomtech Palembang, Telkom University.views of the European Union.
ABSTRACT BOOK INTERNATIONAL CONFERENCE OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY - (ICOSNIKOM) 2018 - 23-24 NOVEMBER 2018 MADANI HOTEL MEDAN ...
Contents
A CONCEPT OF LEARNING DESIGN OF PID CONTROL SYSTEM ................................................... 1

BASED ON MATLAB ................................................................................................................................. 1

A DESIGN OF ANALYSIS INFLUENCE OF CHANNEL FLOW INSTABILITY AGAINST
ANDONGAN ON SUTT 150 KV ................................................................................................................ 2

A Dynamic Intersection Traffic Control System Simulation Model ............................................................ 3

A Study of Virtual Learning Environments (VLEs) Adoption: An Information System Approach ............. 4

An Analysis of Kohonen Algorithm Addition to the Backpropagation Method in Processing of
Recognizing Temperature Data .................................................................................................................... 5

Analysis Accuracy Of Forecasting Measurement Technique On Random K-Nearest Neighbor (RKNN)
Using MAPE And MSE ................................................................................................................................ 6

Analysis Algorithm Kohonen and Momentum on the Backpropagation Neural Network ........................... 7

Analysis Discrete Hartley Transform for the recognition of female voice based on voice register in
singing techniques ........................................................................................................................................ 8

Analysis Of 4g Internet Technology Quality In Medan City With Mobile Communication System Using
6 Providers .................................................................................................................................................... 9

Analysis of Centroid Value Variations Against the Number of Iterations Using the Clustering K-Means
Algorithm.....................................................................................................................................................10

ANALYSIS OF DECISION TREE AND SMOOTH SUPPORT VECTOR MACHINE METHODS ON
DATA MINING ..........................................................................................................................................11

ANALYSIS OF DETECTION OF DROW AND ENTIRE CO-OCCURRENCE MATRIX GLCM
METHOD ON THE CLASSIFICATION OF IMAGE ...............................................................................12

ANALYSIS OF EFFECTIVE STORAGE TIME TO DETERMINE THE QUALITY OF MILK USING
SIMPLE ADDITIVE WEIGHTING METHOD .........................................................................................13

Analysis of Frequent Itemsets Mining Algorithm Againts Models of Different Datasets ...........................14

Analysis of Infrared Sensors As a Non Invasive Glucose Measuring By Applying Fuzzy Algorithm ........15

Analysis of Sigmoid Function Method And Histogram Equalization for Enhancement Contrast Image ....16
Analysis Of The Corticium Salmonicolor Mushroom That Grows On Rubber, Citrus And Coffee Plants
Uses Fuzzy Methods ....................................................................................................................................17

ANALYSIS OF THE MARKOV CHAIN APPROACH TO DETECT BLOOD SUGAR LEVEL ...........18

Analysis of Using Binary and Bipolar Data in Knowing the Logic Gate Using Perceptron Method ..........19

Application Of Hill Cipher And LSB + 1 Methods For Messaging In Messages Inpicture ........................20

Application of Linear Congruent Generator in Affine Cipher Algorithm to Produce Dynamic Encryption
.....................................................................................................................................................................21

Application of linear congruent method in try out examination based on web application .........................22

Application Of Method Threshold Secret Sharing In Securing Data ...........................................................23

Application of Palembang City Info as a Sharing Media of Urban Information in Palembang City ...........24

Application of sales and purchases of goods by using Java 2 Standard Edition (J2SE) as Collaborative
fulfillment on Supply Chain Management ...................................................................................................25

Assesment quality business process model based on fuzzy logic application .............................................26

Assessment of Team Based Learning: The Use of Student Centred Learning for Interaction Design Class
.....................................................................................................................................................................27

Business Value Assessment for Global Service Provider Industry: Opportunities and Solution.................28

CCTV Camera Controller Simulation Using Arduino Uno and Joystick ....................................................29

Certainty Factor for Early Detection of Children’s Respiratory Disease .....................................................30

Clinic Management System: Business Process Re-engineering based on User Experience (UX)...............31

Computer Network Chat Room Based on LAN Client Server ....................................................................32

Control the Waterwheel with the Internet of Things ...................................................................................33

Data Mining to Determine Correlation of Purchasing Cosmetics With A priori Method ............................34

DATA MINING USING CLUSTERING METHODS TO IDENTIFY THE TYPE OF LUNG DISEASE
(CASE STUDY: SITI HAJAR HOSPITAL) ...............................................................................................36

DATA SEARCH USING HASH JOIN QUERY AND NESTED JOIN QUERY ......................................37

Data Warehouse Development for Student Absence Attendance Fine at State Polytechnic of Jakarta .......38

DEA and Fuzzy Simple Additive Weighting for Benchmarking Qualitative Data......................................39
DEA Model with Hesitant Fuzzy Polyhedral Set in Benchmarking ............................................................40

Decision Support System for Quran Teacher Selection Using Profile Matching Method on TPQ Anbata .41

Decision Support System for Teacher Performance Assessment of SMK Nusantara 1 Ciputat Based on
AHP and TOPSIS ........................................................................................................................................42

Decision Support System of New Student Admission Using Analytical Hierarchy Process And Simple
Additive Weighting Methods .......................................................................................................................43

Decision Support System of Teacher Performance Assessment with Smart Method ..................................44

Design Analysis of OSPF (Open Shortest Path First) Routing By Calculating Packet Loss Of Network
WAN (Wide Area Network) ........................................................................................................................45

Design Information Seating Chart System in Classroom with Wireless Sensor Network ...........................46

Design of Automatic Plant Areas Using Humidity Sensor Based On Internet of Thing .............................47

Design of Early Warning System Flood and Landslide Mitigation Sensor Based on Internet of Thing .....48

Design of The Web-Based Tracer Study Application of STMIK PalComTech ..........................................49

Detection object application at mirror for smart home with fuzzy logic method using Raspberry PI
Microcontroller ............................................................................................................................................50

DEVELOPING THE POINTER BACKWARD-FORWARD ALGORITHM IN TOKEN OF TEST IN
TEXT TO KNOW THE LEVEL OF INDIVIDUAL DEPRESSION .........................................................51

Development Of Binary Similarity And Distance Measures (BSDM) Algorithm For The Bond Of High
Development System Of Video ...................................................................................................................52

Drug Users Prediction Using Backpropagation EducationalMethod ...........................................................53

E-Government Readiness Model Development for Successful ICT Adoption at Government Institution in
Indonesia ......................................................................................................................................................54

EHANCE A METHODE POWER SYSTEM POLICIES BASED ON SCS (SOLAR CELL SYSTEM) .55

Embedding the Operating System (EOS): a Case Study LMDE 3 on a USB Flash Drive ..........................56

ENHANCE A CONTROL METHOD IN THE SMART GATE DOOR BASED ON SENSOR METAL
DETECTOR ................................................................................................................................................57

ENHANCED OF HOUSE SECURITY SYSTEM BASED PIR SENSOR AND MICROCONTROLLER
BASED ........................................................................................................................................................58

Enhanced Of Speed Monitoring Brushless Dc (Bldc) Equipment And Controller Based On Arduino .......59
ENHANCEMENT QUALITY TRANSFORMER BASED ON MANAGEENT DISTRIBUTION
UNBALANCED LOAD ..............................................................................................................................60

E-Procurement To Help The Company S Management In The Delivery Of Goods And Services ( A Case
Study: Pt.Siwics ).........................................................................................................................................61

Evaluation of Maturity Level of Information and Communication Technology (ICT) Governance with
CobIT 5.0 case study: STMIK Pelita Nusantara Medan. .............................................................................62

Examining Generation X Experiences on Using E-Commerce: Integrating the Technology Acceptance
Model and Perceived Risks ..........................................................................................................................63

Expert System Diagnosing Disease of Honey Guava Using Bayes Method ...............................................64

Grayscale Image Quality Analysis Result of Noises Reduction using Adaptive Fuzzy Filter (AFF) and
Spatial Median Filter (SMF) Against Image Depth Variations ...................................................................65

Historical Theme Game Using Finite State Machine for Actor Behaviour .................................................66

Identification of Lung Cancer Using Backpropagation Neural Network.....................................................67

Implementation artificial neural network nguyen widrow algorithm for lupus prediction ..........................68

IMPLEMENTATION OF AUGMENTED REALITY OF ANDROID BASED ANIMAL
RECOGNITION USING MARKER BASED TRACKING METHODS ...................................................69

Implementation of Building Construction and Environment Control for Data Centre Based on ANSI/TIA-
942 in Networking Content Company .........................................................................................................70

IMPLEMENTATION OF NIHILIST CIPHER ALGORITHM IN SECURING TEXT DATA WITH MD5
VERIFICATION .........................................................................................................................................71

Implementation of Tahani Fuzzy Logic Method for Selection of Optimal Tourism Site ............................72

Improved the Performance of the K-Means Cluster Using the Sum of Squared Error (SSE) optimized by
using the Elbow Method ..............................................................................................................................73

Improvement of Inventory System Using First In First Out (FIFO) Method...............................................74

Improvement Suggestion Performance of Blowing Machine Line 4 with Total Productive Maintenance
(TPM) Method at PT. Coca-Cola Amatil Indonesia MedanUnit .................................................................75

Improving Performance Genetic Algorithm on Knapsack Problem by Setting Parameter ..........................77

INCULCATION OF ISLAMIC VALUES INTO MODERN TECHNOLOGY .........................................78

Initializing the Fuzzy C-Means Cluster Center With Particle Swarm Optimization for Sentiment
Clustering.....................................................................................................................................................79
INTEGRATING MLP ALGORITHM WITH AHP MODIFICATION FOR CAR EVALUATION .........80

IT Roadmap to Improve Business Strategy using TOGAF ADM: A Case Study of Government-Owned
Electricity Company ....................................................................................................................................81

JARO–WINKLER DISTANCE IMPROVEMENT FOR APPROXIMATE STRING SEARCH USING
INDEXING DATA FOR MULTIUSER APPLICATION ..........................................................................82

Keywords: similarity word search, jaro-winkler, indexMACHINE LEARNING APPROACH FOR
ELECTRICAL LOAD FORECASTING USING SUPPORT VECTOR REGRESSION ...........................82

MACHINE LEARNING APPROACH FOR ELECTRICAL LOAD FORECASTING USING SUPPORT
VECTOR REGRESSION ............................................................................................................................83

MACHINE LEARNING FOR TUBERCOLOSIS CLASSIFICATION BASED ON TREATMENT
HISTORY ....................................................................................................................................................84

MODEL OF INFORMATION TECHNOLOGY FACILITY SERVICE BASED ON USER
SATISFACTION .........................................................................................................................................85

MOTOR DRIVED DESIGN BASED ON PSO AND PID IN REDUCING RIPPLE TORS AND RIPPLE
FLUXS IN ...................................................................................................................................................86

Network Fault Management atService Industry in Indonesia ......................................................................87

Optimization Iteration Min-Max Cross Over Genetic Algorithm To Generate Fuzzy membership Function
Automatically ..............................................................................................................................................88

Pool Water Acidity Gauge Using Fuzzy Mamdani Method ........................................................................89

Preventing Routing Loop in Routing Distance Vector Protocol using Destination Sequence Distance
Vector (DS-DV) Method) ............................................................................................................................90

Privacy Paradox and Its Dilemma towards Means of Engagement .............................................................91

Probabilistic Power Spectral Densities for Combination of Broadband Seismic Network ..........................92

Project Evaluation for Business and IT Alignment with Enterprise Architecture for Water Distribution
Company ......................................................................................................................................................93

Readiness Assessment for Internet Provider Service Delivery: Case Study of the NetHost .......................94

Requirement of Hospital Management Information System on Radiology Installation Based on Kano
Model ...........................................................................................................................................................95

Responsive Innovation through Perceived Shared Values and Preferences of Customers ..........................96

Round Robin Algorithm With Average Quantum Dynamic Time Based on Multicore Processor ..............97
School Laboratory Management Information System .................................................................................98

Server Temperature Monitoring System Using Web Based Censor And Sms Gateway ...........................100

Smart Health Model With A Linear Integer Programming Approach .......................................................101

Smart Home Security Design Applying One Time PAD Algorithm .........................................................102

Smarthome Using Android Smartphone, Arduino uno Microcontroller and Relay Module .....................103

Solving Minimum Vertex Cover Problem Using DNA Computing ..........................................................104

Stability Of Line Follower Robots With Fuzzy Logic and Kalman Filter Methods ..................................105

TESTING REAL-TIME APPLICATIONS ON 10 IOT WINDOWS .......................................................106

WITHOUT USING THE NYQUIST THEORY .......................................................................................106

The Development of Radical Innovation with the Digital Gift ..................................................................107

The Framework of Start-up based Transportation Regulation in Indonesia ..............................................108

THE POWER SPECTRAL DENSITY BASED WAVEFORM ANALYSIS FOR COMPUTING NOISE
LEVEL.......................................................................................................................................................109

The Steganographic Video Analysis Uses A Combination of Discrete Cosine Transform (DCT-2D) and
Discrete Wavelet Transform (DWT) Algorithms ......................................................................................110

User Experience in Mobile Application Design: Utility Defined Context of Use .....................................111

USING ICT IN TEACHING AND LEARNING ISLAMIC EDUCATION FOR ECONOMIC
STUDENTS ...............................................................................................................................................112

Visit Results Reporting System from External Parties in Adira Finance Using CodeIgniter ....................113

Website Services Quality Analysis of PT. Semen Baturaja (Persero) Tbk Toward User Satisfaction by
Using Webqual 4.0 Method .......................................................................................................................114
A study of virtual learning environments (VLEs) adoption: an
information system approach

                Winarto1*, Jamaluddin1, K M N Nadapdap1, R Gultom1 and A M H Pardede2
                1
                    Universitas Methodist Indonesia, Medan, Sumatera Utara, Indonesia
                2
                    STMIK Kaputama, Binjai, Sumatera Utara, Indonesia

                *Corresponding author’s e-mail: winarto.zip@gmail.com

                Abstract. The study aims to examine students’ adoption towards a Virtual Learning
                Environment (VLE). Using the Technology Acceptance Model (TAM) as the theoretical
                framework, the study mainly focuses on the degree that perceived usefulness, and perceive
                ease of use has influence on students’ adoption towards Easy Class as the Virtual Learning
                Environment. The research used a quantitative approach. A questionnaire has been employed
                as an instrument to gather data from 2 classes in a private university in North Sumatera. The
                research found that perceived usefulness and perceived ease of use have a significant effect on
                the students’ adoption. At the end of the paper, the implications as well as the suggestion for
                future study are explained.

1. Introduction
The Information and Computer Technologies (ICTs) brings many advantages for teaching and
learning. Virtual Learning Environments (VLEs) is one of the technologies which have been widely
used and incorporated for teaching and learning as the supplement for traditional or face-to-face
learning. In fact, teachers and students may stop to use technology for teaching and learning because
they do not fully accept and adopt with it [1]. As a result, the advantages of VLEs for teaching and
learning such as the reduction of the barrier of place, and improve the learning effectiveness and
collaborative learning [2] can not be fully experienced.
    Over decades, researchers have closely examined factors that affect Information System adoption.
They have developed a model for investigating users’ experiences to adopt with a new technology.
The Technology Acceptance Model (TAM) is a model which helps to identify the intention to use of a
technology based on perceived usefulness and perceived ease of use. A research suggests that
measuring user acceptance and adoption towards Virtual Learning Environments is important to
prevent the failures and improve the effectiveness of information technology for teaching and learning
[3].
    Virtual Learning Environments (VLEs) is commonly defined as a web-based communication
platform in which allows students and teachers to access different learning tools, for instance program
information, course content, teacher assistance, discussion board, document sharing system and
learning resources, without any limitation of time and place [4]. The increasing use of VLEs has been
perceived as a fundamental change. The VLEs become the medium of teaching and learning where
teachers and students interact, and it can be used in either online learning or blended learning [5].
Both blended learning and online learning in virtual learning environment needs Learning
Management Systems (LMSs). LMSs are enterprise-wide and internet-based systems, such as
Blackboard and Moodle that integrate a wide range of pedagogical and course administration tools [5].
The role of an LMS is to communicate, deliver and manage the instructional content and learning
materials [6]. Educational institutions must set up the learning management system such as Moodle,
Blackboard as the information and technology infrastructure for either an online learning or a blended
learning. Teachers on their own initiatives and individual level can use an online learning management
system which is free and open source for example Easy Class, which will be the focus of the research.
   The purpose of this research is to investigate the effect of perceived usefulness and perceived ease
of use on students’ adoption towards Easy Class as the learning management platform. The research
may be valuable for policy makers, researchers, educators and instructors. They will gain empirical-
based information on factors influencing students’ adoption with a Virtual Learning Environment.

2. Literature Review
The growth of online learning and blended learning in educational institutions may give the students
feelings of distress, frustration and confusion [7], that makes them less satisfied with their virtual
learning environment [8]. Consequently, the benefits of the technology cannot be transferred to the
users (teachers and students). The use of Information and Communication Technology (ICT) in virtual
learning environments requires students to feel comfortable to work with computer applications and
computer tools in order to reduce distress.
    Information System researchers have explored the factors influencing students’ adoption with
Virtual Learning Environments. The Technology Acceptance Model; consists of 2 dimensions
perceived usefulness and perceived ease of use; is one of the models which has been used to measure
users’ acceptance and adoption towards information systems. It is based on the Theory of Reasoned
Action (TRA) and theory of planned behavior, that seeks to explain behavior intention to use
information system [9].
    Previous research found that perceived usefulness and perceived ease of use significantly
influenced the adoption towards Virtual Learning Environments [1], [10]. This model has beeen
widely used by information system researchers because of its understandability and simplicity [11],
although the model also has drawbacks. As a result, there are some modified or extended models that
have been developed to fully understand the information system adoption, for example the unified
theory of acceptance and use of technology (UTAUT) model [12].
    The learning management systems integrate a wide range of pedagogical and course administration
tools and offer a virtual learning environment for teaching and learning activities [5], [13]. In this
study, Easy Class is used as the Virtual Learning Environments in a blended learning setting. The
blended learning approach has become more and more frequent in both research and practices. By
definition, blended learning is referring to particular forms of teaching with technology, the mixing of
e-learning with traditional learning, and as online learning combined with face-to-face [14].
    Figure 1 below depicts the research framework based on the two dimensions of the Technology
Acceptance Model.

        Figure 1. The Research Framework based on the Technology Acceptance Model
Based on the figure above, this research has two hypotheses. The first hypotesis (H1) is perceived
usefulness has a positif and significant effect on intention to use/adopt VLEs. Secondly, perceived
perceived ease of use has a positif and significant effect on intention to use/adopt VLEs.

3. Methods
The study has been conducted in 2 classes in a private university in North Sumatera. The students
were from the second and third year level. The lecturer uses Easy Class as a learning management
platform besides face-to-face teaching in the classroom. It means that the lecturer uses a blended
learning approach to combine its face-to-face learning. The platform can be accessed online via
www.easyclass.com, where users can freely register either as instructors/teachers/lecturers or students.
Figure 2 ilustrate the homepage of Easy Class where users can choose to register either as instructors
or students.

                               Figure 2. the Homepage of Easy Class

    During the first meeting of the classes, the lecturer introduced Easy Class to the students. The
students mentioned that they have not heard and worked yet with Easy Class before. The lecturer also
gave the training to the students as well as delivered a short guidance to work with Easy Class. Then
the lecturer asked the students to register in Easy Class using their own smartphones and laptops. The
lecturer shared an access code to the students, and asked them to join in the online classes which have
been prepared by the lecturer. Figure 3 below ilustrates an example of online classroom in Easy Class.

                     Figure 3. An Example of Online Classroom in Easy Class
The lecturer explained to the students that the lecturer would store the class materials, deliver
assignments, quizzes, announcements, or create a topic for class discussion in Easy Class. On the
students’ side, they have to proactively log in Easy Class to download and read the class materials,
work on the assignments and quizzes then send them online via Easy Class, and join in the group
discussion. The lecturer will actively use Easy Class for teaching and learning during the whole
semester.
    Furthermore, the students have been asked by the lecturer about their experiences work with Easy
Class at the mid semester. The students were asked to fill out a questionnaire. The questionnaire was
filled out by 90 students, of which 87 questionnaires are completed seriously, these are processed for
analysis.
    Specifically, the respondents have been asked to fill out 3 sections in the questionnaire with regards
the perceived usefulness, perceive ease of use, and intention to use/adopt VLEs. The items were
adapted from [1] with some minor wording changes. The original items are in English; after the
translation, the respondents answered the questionnaire in Bahasa Indonesia. Examples items
regarding the scales are; for perceived usefulness (4 items) are using Easy Class would improve
students’ performance, using Easy Class would enhance my productivity; for perceived ease of use (4
items) are it would be easy for me to become skillful at using Easy Class, learning to operate Easy
Class would be easy for me); for intention to use/adopt (6 items) are I enjoy using Easy Class in this
course, If I had an opportunity to take another course via Easy Class, I would gladly to do so. Those
scales were measured by 1-5 Likert scales ranging from strongly disagree, disagree, neutral, agree to
strongly agree.

4. Result and Discussion
This part presents the data analysis and results of the research based on the quantitative analysis. Table
1 below shows the characteristics of the respondents.

                               Table 1. The characteristics of respondents
                                         Gender                  Year Level

                           Male               34     2nd year          21
                           Female             53     3rd year          66
                           Total              87      Total            87

   Based on Table 1, the number of male students is 34 students (39%), while the number of female
students is 53 students (61%). Furthermore, the number of 2nd year students on the research is 21
students (24%), while the number of 3rd year students is 66 students (76%).
   Validity analysis of each items has been tested using item-to total correlations in order to find out
how well an item fits in a scale. The analysis showed that all items fit in their respective scale with the
correlation scores (R ir) vary from 0.44 to 0.90. Furthermore, Table 2 below depicts the reliability
analysis based on the Cronbach Alpha. A reliability scale above 0.70 may be considered to be an
accepted level.

                                       Table 2. Reliability Analysis
                             Variables             Number of       Cronbach Alpha
                                                   Questions
                     Perceived usefulness            4 items                0.84
                     Perceived ease of use           4 items                0.80
                     Intention to use/adopt          6 items                0.75
Following the reliability analysis, the multiple linear regression analysis results will be explained
based on the questionnaire which has been answer by the students. In order to test the relations as
being hypothesized in the research model, a multiple linear regression analysis was done, for which,
the normality, multicollinearity, and heteroscedastisity assumptions were tested. Table 3 summarizes
the finding of the multiple linear regression analysis.

                               Table 3. The Result of Regression Analysis
                             Independent variables          B       SE      p-value

                    Constant                               1.05     0.15      0.00
                    Perceived usefulness                   0.45     0.07      0.00
                    Perceived ease of use                  0.33     0.05      0.00
                    R2: 67 %

   In Table 3 the result of this regression analysis is displayed. The dependent variable is intention to
use/adopt with VLEs. The variables perceived usefulness, and perceived ease of use are best
predicting the intention to use/adopt with VLEs. Based on the R square (R2), both variables contribute
67% to explain the variation of the dependent variable; intention to use/adopt with VLEs.
   To test the first hypothesis, p-value of perceived usefulness is 0.00, less than alpha 5%. It means
that the first hypothesis is accepted. The same with the first hypotesis, the second hypotesis is also
accepted, because p-value of perceived ease of use is less than alpha 5%. It can be concluded that
these variables significantly influence intention to use/adopt with Easy Class as the learning
management platform. This result supports the expectation.

5. Conclusion
The purpose of the research is to examine the effect of two dimensions of the Technology Acceptance
Model; perceived usefulness and perceived ease of use; on intention to use/adopt with Easy Class as
the online learning management. A multiple linier regression shows that perceived usefulness and
perceived ease of use has a positive and significant effect on intention to use/adopt with Easy Class as
the online learning management.
    These findings are in line previous research [1], that both perceived usefulness and perceived ease
of use significantly influence intention to use/adopt with the technology. Students tend to stop, reject
or accept new technology applications based on their perception of technology usefulness and ease of
use. When they believe that Virtual Learning Environments is useful and easy to use, it is expected to
be easier for the students assign to the learning materials, interact in the forum discussion and use
other VLEs facilities.
    The students are new users of Easy Class, but they quickly adopt with the platform. The reason
could be that they are millenial generations who are native users and very active on using technology
and the Internet. In addition, the teacher also be active using the learning management platform, and
explain the students about the usage of the platform. This will help to strengthen the students
perception that Virtual Learning Management is useful, and ease to use.
    The research has several limitations. First, the research measured the two dimensions of the
Technology Acceptance Model and adoption once which was in the mid semester. The next research is
suggested to measure the constructs for several times, such as at the beginning, mid and at the end of
semester. Secondly, the research did not measure the time duration and the activities that students did
when using Easy Class. Thus, future research can add those aspects which will enrich the analysis.
Thirdly, the research used 2 dimensions of the Technology Acceptance Model. For the next research,
it is suggested to use an extended model and add more constructs such as perceived risks, perceived
trusts, and perceived flexibility which possibly influence intention to use/adopt with Virtual Learning
Environments.
6. References
[1]   P. Sun, R. J. Tsai, G. Finger, and Y. Chen, “What drives a successful e-Learning ? An
      empirical investigation of the critical factors influencing learner satisfaction,” vol. 50, pp.
      1183–1202, 2008.
[2]   J. Wu, R. D. Tennyson, and T. Hsia, “A study of student satisfaction in a blended e-learning
      system environment,” Comput. Educ., vol. 55, no. 1, pp. 155–164, 2010.
[3]   J. B. Arbaugh and R. Duray, “Technological and structural characteristics , student learning
      and satisfaction with web-based courses: An exploratory study of two on-line MBA program,”
      Manag. Learn., vol. 33, no. 3, pp. 331–347, 2002.
[4]   E. M. Van Raaij and J. J. L. Schepers, “The acceptance and use of a virtual learning
      environment in China,” Comput. Educ., vol. 50, pp. 838–852, 2008.
[5]   H. Coates, R. James, and G. Baldwin, “A critical examination of the effects of learning
      management systems on university teaching and learning,” Tert. Educ. Manag., vol. 11, no. 1,
      pp. 19–36, 2005.
[6]   B. W. R. Watson and S. L. Watson, “An Argument for Clarity : What are Learning
      Management Systems , What are They Not , and What Should They Become ?,” TechTrends,
      vol. 51, no. 2, pp. 28–34, 2007.
[7]   N. Hara and R. Kling, “Student distress in a web-based distance education course,”
      Information, Commun. Soc., vol. 3, no. 4, pp. 557–579, 2000.
[8]   G. Piccoli, R. Ahmad, and B. Ives, “Web-based Virtual Learning Environments: A research
      framework and a preliminary assessment of effectiveness in basic IT skills training,” MIS Q.,
      vol. 25, no. 4, pp. 401–426, 2001.
[9]   E. E. Grandón, S. Altobello, and P. P. Mykytyn, “Comparing theories to explain e-commerce
      adoption,” J. Bus. Res., vol. 64, no. 3, pp. 292–298, 2011.
[10] W. S. Chen, A. Yong, and T. Yao, “An Empirical Evaluation of Critical Factors Influencing
      Learner Satisfaction in Blended Learning : A Pilot Study,” Univers. J. Educ. Res., vol. 4, no. 7,
      pp. 1667–1671, 2016.
[11] W. R. King and J. He, “A meta-analysis of the technology acceptance model,” Inf. Manag., vol.
      43, pp. 740–755, 2006.
[12] V. Venkatesh, J. Y. L. Thong, and X. Xu, “Consumer Acceptance and Use of Information
      Technology: Extending the Unified Theory of Acceptance and Use of Technology,” MIS Q.,
      vol. 36, no. 1, pp. 157–178, 2012.
[13] D. Leidner and S. Jarvenpaa, “The use of information technology to enhance management
      school education : A theoretical view,” MIS Q., vol. 19, no. 3, pp. 265–291, 2008.
[14] E. Nissen, E. Tea, U. Stendhal, U. F. R. De, and G. Cedex, “Going blended : new challenges
      for second generation L2 tutors,” no. May, pp. 37–41, 2012.
You can also read
NEXT SLIDES ... Cancel